id	sid	tid	token	lemma	pos
esrj-39716	1	1	the	the	DET
esrj-39716	1	2	estimation	estimation	NOUN
esrj-39716	1	3	of	of	ADP
esrj-39716	1	4	caving	cave	VERB
esrj-39716	1	5	depth	depth	NOUN
esrj-39716	1	6	is	be	AUX
esrj-39716	1	7	of	of	ADP
esrj-39716	1	8	particular	particular	ADJ
esrj-39716	1	9	interest	interest	NOUN
esrj-39716	1	10	in	in	ADP
esrj-39716	1	11	the	the	DET
esrj-39716	1	12	oil	oil	NOUN
esrj-39716	1	13	industry	industry	NOUN
esrj-39716	1	14	.	.	PUNCT
esrj-39716	2	1	during	during	ADP
esrj-39716	2	2	the	the	DET
esrj-39716	2	3	drilling	drilling	NOUN
esrj-39716	2	4	process	process	NOUN
esrj-39716	2	5	,	,	PUNCT
esrj-39716	2	6	the	the	DET
esrj-39716	2	7	rock	rock	NOUN
esrj-39716	2	8	classification	classification	NOUN
esrj-39716	2	9	problem	problem	NOUN
esrj-39716	2	10	is	be	AUX
esrj-39716	2	11	studied	study	VERB
esrj-39716	2	12	to	to	PART
esrj-39716	2	13	analyze	analyze	VERB
esrj-39716	2	14	the	the	DET
esrj-39716	2	15	concentration	concentration	NOUN
esrj-39716	2	16	of	of	ADP
esrj-39716	2	17	cuttings	cutting	NOUN
esrj-39716	2	18	at	at	ADP
esrj-39716	2	19	the	the	DET
esrj-39716	2	20	vibrating	vibrate	VERB
esrj-39716	2	21	shale	shale	NOUN
esrj-39716	2	22	shakers	shaker	NOUN
esrj-39716	2	23	through	through	ADP
esrj-39716	2	24	the	the	DET
esrj-39716	2	25	classification	classification	NOUN
esrj-39716	2	26	of	of	ADP
esrj-39716	2	27	caving	cave	VERB
esrj-39716	2	28	images	image	NOUN
esrj-39716	2	29	.	.	PUNCT
esrj-39716	3	1	to	to	ADP
esrj-39716	3	2	date	date	NOUN
esrj-39716	3	3	,	,	PUNCT
esrj-39716	3	4	depth	depth	NOUN
esrj-39716	3	5	estimation	estimation	NOUN
esrj-39716	3	6	based	base	VERB
esrj-39716	3	7	on	on	ADP
esrj-39716	3	8	caving	cave	VERB
esrj-39716	3	9	rock	rock	NOUN
esrj-39716	3	10	images	image	NOUN
esrj-39716	3	11	has	have	AUX
esrj-39716	3	12	not	not	PART
esrj-39716	3	13	been	be	AUX
esrj-39716	3	14	treated	treat	VERB
esrj-39716	3	15	in	in	ADP
esrj-39716	3	16	the	the	DET
esrj-39716	3	17	literature	literature	NOUN
esrj-39716	3	18	.	.	PUNCT
esrj-39716	4	1	this	this	DET
esrj-39716	4	2	paper	paper	NOUN
esrj-39716	4	3	presents	present	VERB
esrj-39716	4	4	a	a	DET
esrj-39716	4	5	new	new	ADJ
esrj-39716	4	6	depth	depth	NOUN
esrj-39716	4	7	caving	caving	NOUN
esrj-39716	4	8	estimation	estimation	NOUN
esrj-39716	4	9	system	system	NOUN
esrj-39716	4	10	based	base	VERB
esrj-39716	4	11	on	on	ADP
esrj-39716	4	12	the	the	DET
esrj-39716	4	13	classification	classification	NOUN
esrj-39716	4	14	of	of	ADP
esrj-39716	4	15	caving	cave	VERB
esrj-39716	4	16	images	image	NOUN
esrj-39716	4	17	through	through	ADP
esrj-39716	4	18	feature	feature	NOUN
esrj-39716	4	19	extraction	extraction	NOUN
esrj-39716	4	20	.	.	PUNCT
esrj-39716	5	1	to	to	PART
esrj-39716	5	2	extract	extract	VERB
esrj-39716	5	3	the	the	DET
esrj-39716	5	4	texture	texture	NOUN
esrj-39716	5	5	descriptors	descriptor	NOUN
esrj-39716	5	6	,	,	PUNCT
esrj-39716	5	7	the	the	DET
esrj-39716	5	8	cutting	cutting	NOUN
esrj-39716	5	9	images	image	NOUN
esrj-39716	5	10	are	be	AUX
esrj-39716	5	11	first	first	ADV
esrj-39716	5	12	mapped	map	VERB
esrj-39716	5	13	on	on	ADP
esrj-39716	5	14	a	a	DET
esrj-39716	5	15	common	common	ADJ
esrj-39716	5	16	space	space	NOUN
esrj-39716	5	17	where	where	SCONJ
esrj-39716	5	18	they	they	PRON
esrj-39716	5	19	can	can	AUX
esrj-39716	5	20	be	be	AUX
esrj-39716	5	21	easily	easily	ADV
esrj-39716	5	22	compared	compare	VERB
esrj-39716	5	23	.	.	PUNCT
esrj-39716	6	1	then	then	ADV
esrj-39716	6	2	,	,	PUNCT
esrj-39716	6	3	textural	textural	ADJ
esrj-39716	6	4	features	feature	NOUN
esrj-39716	6	5	are	be	AUX
esrj-39716	6	6	obtained	obtain	VERB
esrj-39716	6	7	by	by	ADP
esrj-39716	6	8	applying	apply	VERB
esrj-39716	6	9	a	a	DET
esrj-39716	6	10	multi	multi	ADJ
esrj-39716	6	11	-	-	NOUN
esrj-39716	6	12	scale	scale	NOUN
esrj-39716	6	13	and	and	CCONJ
esrj-39716	6	14	multiorientation	multiorientation	NOUN
esrj-39716	6	15	approach	approach	NOUN
esrj-39716	6	16	through	through	ADP
esrj-39716	6	17	the	the	DET
esrj-39716	6	18	use	use	NOUN
esrj-39716	6	19	of	of	ADP
esrj-39716	6	20	gabor	gabor	NOUN
esrj-39716	6	21	transformations	transformation	NOUN
esrj-39716	6	22	.	.	PUNCT
esrj-39716	7	1	two	two	NUM
esrj-39716	7	2	different	different	ADJ
esrj-39716	7	3	depth	depth	NOUN
esrj-39716	7	4	classifiers	classifier	NOUN
esrj-39716	7	5	are	be	AUX
esrj-39716	7	6	developed	develop	VERB
esrj-39716	7	7	;	;	PUNCT
esrj-39716	7	8	the	the	DET
esrj-39716	7	9	first	first	ADJ
esrj-39716	7	10	separates	separate	VERB
esrj-39716	7	11	the	the	DET
esrj-39716	7	12	textural	textural	ADJ
esrj-39716	7	13	features	feature	NOUN
esrj-39716	7	14	by	by	ADP
esrj-39716	7	15	using	use	VERB
esrj-39716	7	16	a	a	DET
esrj-39716	7	17	soft	soft	ADJ
esrj-39716	7	18	decision	decision	NOUN
esrj-39716	7	19	based	base	VERB
esrj-39716	7	20	on	on	ADP
esrj-39716	7	21	the	the	DET
esrj-39716	7	22	euclidean	euclidean	ADJ
esrj-39716	7	23	distance	distance	NOUN
esrj-39716	7	24	,	,	PUNCT
esrj-39716	7	25	and	and	CCONJ
esrj-39716	7	26	the	the	DET
esrj-39716	7	27	second	second	ADJ
esrj-39716	7	28	performs	perform	VERB
esrj-39716	7	29	a	a	DET
esrj-39716	7	30	hard	hard	ADJ
esrj-39716	7	31	decision	decision	NOUN
esrj-39716	7	32	classification	classification	NOUN
esrj-39716	7	33	by	by	ADP
esrj-39716	7	34	applying	apply	VERB
esrj-39716	7	35	a	a	DET
esrj-39716	7	36	thresholding	thresholde	VERB
esrj-39716	7	37	procedure	procedure	NOUN
esrj-39716	7	38	.	.	PUNCT
esrj-39716	8	1	a	a	DET
esrj-39716	8	2	detailed	detailed	ADJ
esrj-39716	8	3	mathematical	mathematical	ADJ
esrj-39716	8	4	formulation	formulation	NOUN
esrj-39716	8	5	of	of	ADP
esrj-39716	8	6	the	the	DET
esrj-39716	8	7	developed	develop	VERB
esrj-39716	8	8	classifiers	classifier	NOUN
esrj-39716	8	9	is	be	AUX
esrj-39716	8	10	presented	present	VERB
esrj-39716	8	11	.	.	PUNCT
esrj-39716	9	1	the	the	DET
esrj-39716	9	2	developed	develop	VERB
esrj-39716	9	3	estimation	estimation	NOUN
esrj-39716	9	4	system	system	NOUN
esrj-39716	9	5	is	be	AUX
esrj-39716	9	6	verified	verify	VERB
esrj-39716	9	7	using	use	VERB
esrj-39716	9	8	real	real	ADJ
esrj-39716	9	9	data	datum	NOUN
esrj-39716	9	10	from	from	ADP
esrj-39716	9	11	rock	rock	NOUN
esrj-39716	9	12	cutting	cut	VERB
esrj-39716	9	13	images	image	NOUN
esrj-39716	9	14	in	in	ADP
esrj-39716	9	15	petroleum	petroleum	NOUN
esrj-39716	9	16	wells	well	NOUN
esrj-39716	9	17	.	.	PUNCT
esrj-39716	10	1	several	several	ADJ
esrj-39716	10	2	simulations	simulation	NOUN
esrj-39716	10	3	illustrate	illustrate	VERB
esrj-39716	10	4	the	the	DET
esrj-39716	10	5	performance	performance	NOUN
esrj-39716	10	6	of	of	ADP
esrj-39716	10	7	the	the	DET
esrj-39716	10	8	proposed	propose	VERB
esrj-39716	10	9	model	model	NOUN
esrj-39716	10	10	using	use	VERB
esrj-39716	10	11	real	real	ADJ
esrj-39716	10	12	images	image	NOUN
esrj-39716	10	13	from	from	ADP
esrj-39716	10	14	a	a	DET
esrj-39716	10	15	wellbore	wellbore	NOUN
esrj-39716	10	16	in	in	ADP
esrj-39716	10	17	a	a	DET
esrj-39716	10	18	colombian	colombian	ADJ
esrj-39716	10	19	basin	basin	NOUN
esrj-39716	10	20	.	.	PUNCT
esrj-39716	11	1	the	the	DET
esrj-39716	11	2	correct	correct	ADJ
esrj-39716	11	3	classification	classification	NOUN
esrj-39716	11	4	rate	rate	NOUN
esrj-39716	11	5	of	of	ADP
esrj-39716	11	6	a	a	DET
esrj-39716	11	7	database	database	NOUN
esrj-39716	11	8	containing	contain	VERB
esrj-39716	11	9	17	17	NUM
esrj-39716	11	10	depth	depth	NOUN
esrj-39716	11	11	estimates	estimate	NOUN
esrj-39716	11	12	is	be	AUX
esrj-39716	11	13	91.2	91.2	NUM
esrj-39716	11	14	%	%	NOUN
esrj-39716	11	15	.	.	PUNCT
esrj-39716	12	1	la	la	DET
esrj-39716	12	2	estimación	estimación	PROPN
esrj-39716	12	3	de	de	X
esrj-39716	12	4	la	la	PROPN
esrj-39716	12	5	profundidad	profundidad	PROPN
esrj-39716	12	6	de	de	X
esrj-39716	12	7	la	la	X
esrj-39716	12	8	que	que	PROPN
esrj-39716	12	9	provienen	provienen	PROPN
esrj-39716	12	10	los	los	PROPN
esrj-39716	12	11	derrumbes	derrumbes	PROPN
esrj-39716	12	12	que	que	PROPN
esrj-39716	12	13	usualmente	usualmente	PROPN
esrj-39716	12	14	se	se	PROPN
esrj-39716	12	15	presentan	presentan	PROPN
esrj-39716	12	16	en	en	PROPN
esrj-39716	12	17	las	las	PROPN
esrj-39716	12	18	caras	caras	PROPN
esrj-39716	12	19	del	del	PROPN
esrj-39716	12	20	pozo	pozo	PROPN
esrj-39716	12	21	o	o	PROPN
esrj-39716	12	22	también	también	PROPN
esrj-39716	12	23	llamados	llamados	PROPN
esrj-39716	12	24	cavings	caving	NOUN
esrj-39716	12	25	es	es	X
esrj-39716	12	26	de	de	X
esrj-39716	12	27	gran	gran	PROPN
esrj-39716	12	28	interés	interés	X
esrj-39716	12	29	en	en	X
esrj-39716	12	30	la	la	PROPN
esrj-39716	12	31	industria	industria	PROPN
esrj-39716	12	32	petrolera	petrolera	NOUN
esrj-39716	12	33	.	.	PUNCT
esrj-39716	13	1	durante	durante	PROPN
esrj-39716	13	2	el	el	PROPN
esrj-39716	13	3	proceso	proceso	PROPN
esrj-39716	13	4	de	de	PROPN
esrj-39716	13	5	perforación	perforación	PROPN
esrj-39716	13	6	de	de	PROPN
esrj-39716	13	7	un	un	PROPN
esrj-39716	13	8	pozo	pozo	PROPN
esrj-39716	13	9	,	,	PUNCT
esrj-39716	13	10	el	el	PROPN
esrj-39716	13	11	problema	problema	PROPN
esrj-39716	13	12	de	de	PROPN
esrj-39716	13	13	clasificación	clasificación	PROPN
esrj-39716	13	14	de	de	PROPN
esrj-39716	13	15	rocas	rocas	PROPN
esrj-39716	13	16	ha	ha	X
esrj-39716	13	17	sido	sido	PROPN
esrj-39716	13	18	estudiado	estudiado	PROPN
esrj-39716	13	19	con	con	PROPN
esrj-39716	13	20	el	el	PROPN
esrj-39716	13	21	fin	fin	PROPN
esrj-39716	13	22	de	de	X
esrj-39716	13	23	analizar	analizar	X
esrj-39716	13	24	la	la	PROPN
esrj-39716	13	25	concentración	concentración	X
esrj-39716	13	26	de	de	X
esrj-39716	13	27	recortes	recorte	NOUN
esrj-39716	13	28	o	o	NOUN
esrj-39716	13	29	ripios	ripio	NOUN
esrj-39716	13	30	de	de	X
esrj-39716	13	31	perforación	perforación	PROPN
esrj-39716	13	32	en	en	PROPN
esrj-39716	13	33	las	las	PROPN
esrj-39716	13	34	zarandas	zarandas	PROPN
esrj-39716	13	35	vibratorias	vibratoria	VERB
esrj-39716	13	36	a	a	DET
esrj-39716	13	37	través	través	X
esrj-39716	13	38	de	de	X
esrj-39716	13	39	la	la	PROPN
esrj-39716	13	40	clasificación	clasificación	PROPN
esrj-39716	13	41	de	de	PROPN
esrj-39716	13	42	imágenes	imágenes	X
esrj-39716	13	43	de	de	PROPN
esrj-39716	13	44	cavings	caving	NOUN
esrj-39716	13	45	.	.	PUNCT
esrj-39716	14	1	sin	sin	NOUN
esrj-39716	14	2	embargo	embargo	NOUN
esrj-39716	14	3	,	,	PUNCT
esrj-39716	14	4	la	la	X
esrj-39716	14	5	estimación	estimación	PROPN
esrj-39716	14	6	de	de	X
esrj-39716	14	7	la	la	PROPN
esrj-39716	14	8	profundidad	profundidad	PROPN
esrj-39716	14	9	de	de	X
esrj-39716	14	10	los	los	PROPN
esrj-39716	14	11	derrumbes	derrumbe	NOUN
esrj-39716	14	12	basada	basada	PROPN
esrj-39716	14	13	en	en	ADP
esrj-39716	14	14	la	la	PROPN
esrj-39716	14	15	utilización	utilización	PROPN
esrj-39716	14	16	de	de	PROPN
esrj-39716	14	17	imágenes	imágenes	X
esrj-39716	14	18	de	de	PROPN
esrj-39716	14	19	los	los	PROPN
esrj-39716	14	20	mismos	mismos	PROPN
esrj-39716	14	21	no	no	DET
esrj-39716	14	22	ha	ha	INTJ
esrj-39716	14	23	sido	sido	PROPN
esrj-39716	14	24	tratada	tratada	PROPN
esrj-39716	14	25	en	en	PROPN
esrj-39716	14	26	la	la	PROPN
esrj-39716	14	27	literatura	literatura	PROPN
esrj-39716	14	28	.	.	PROPN
esrj-39716	14	29	este	este	PROPN
esrj-39716	14	30	artículo	artículo	PROPN
esrj-39716	14	31	presenta	presenta	PROPN
esrj-39716	14	32	un	un	PROPN
esrj-39716	14	33	nuevo	nuevo	PROPN
esrj-39716	14	34	modelo	modelo	PROPN
esrj-39716	14	35	para	para	PROPN
esrj-39716	14	36	la	la	PROPN
esrj-39716	14	37	estimación	estimación	PROPN
esrj-39716	14	38	de	de	X
esrj-39716	14	39	la	la	PROPN
esrj-39716	14	40	profundidad	profundidad	PROPN
esrj-39716	14	41	de	de	PROPN
esrj-39716	14	42	derrumbes	derrumbe	VERB
esrj-39716	14	43	a	a	DET
esrj-39716	14	44	través	través	NOUN
esrj-39716	14	45	de	de	X
esrj-39716	14	46	extracción	extracción	PROPN
esrj-39716	14	47	de	de	PROPN
esrj-39716	14	48	características	características	PROPN
esrj-39716	14	49	.	.	PUNCT
esrj-39716	15	1	para	para	PROPN
esrj-39716	15	2	la	la	PROPN
esrj-39716	15	3	extracción	extracción	PROPN
esrj-39716	15	4	de	de	X
esrj-39716	15	5	estas	estas	X
esrj-39716	15	6	características	características	X
esrj-39716	15	7	o	o	PROPN
esrj-39716	15	8	descriptores	descriptore	NOUN
esrj-39716	15	9	de	de	PROPN
esrj-39716	15	10	textura	textura	PROPN
esrj-39716	15	11	,	,	PUNCT
esrj-39716	15	12	imágenes	imágenes	PROPN
esrj-39716	15	13	de	de	PROPN
esrj-39716	15	14	recortes	recorte	NOUN
esrj-39716	15	15	son	son	NOUN
esrj-39716	15	16	transformadas	transformada	VERB
esrj-39716	15	17	en	en	PROPN
esrj-39716	15	18	un	un	PROPN
esrj-39716	15	19	espacio	espacio	PROPN
esrj-39716	15	20	común	común	PROPN
esrj-39716	15	21	,	,	PUNCT
esrj-39716	15	22	el	el	PROPN
esrj-39716	15	23	cual	cual	PROPN
esrj-39716	15	24	permite	permite	PROPN
esrj-39716	15	25	su	su	PROPN
esrj-39716	15	26	comparación	comparación	PROPN
esrj-39716	15	27	.	.	PUNCT
esrj-39716	16	1	luego	luego	PROPN
esrj-39716	16	2	,	,	PUNCT
esrj-39716	16	3	las	las	PROPN
esrj-39716	16	4	características	características	PROPN
esrj-39716	16	5	se	se	PROPN
esrj-39716	16	6	obtienen	obtienen	PROPN
esrj-39716	16	7	aplicando	aplicando	PROPN
esrj-39716	16	8	la	la	PROPN
esrj-39716	16	9	transformación	transformación	PROPN
esrj-39716	16	10	de	de	PROPN
esrj-39716	16	11	gabor	gabor	PROPN
esrj-39716	16	12	,	,	PUNCT
esrj-39716	16	13	un	un	PROPN
esrj-39716	16	14	enfoque	enfoque	PROPN
esrj-39716	16	15	que	que	PROPN
esrj-39716	16	16	se	se	PROPN
esrj-39716	16	17	caracteriza	caracteriza	PROPN
esrj-39716	16	18	por	por	PROPN
esrj-39716	16	19	proporcionar	proporcionar	PROPN
esrj-39716	16	20	un	un	PROPN
esrj-39716	16	21	análisis	análisis	PROPN
esrj-39716	16	22	multi	multi	PROPN
esrj-39716	16	23	-	-	ADJ
esrj-39716	16	24	escala	escala	ADJ
esrj-39716	16	25	y	y	PROPN
esrj-39716	16	26	multi	multi	PROPN
esrj-39716	16	27	-	-	PROPN
esrj-39716	16	28	orientación	orientación	PROPN
esrj-39716	16	29	.	.	PUNCT
esrj-39716	16	30	se	se	PROPN
esrj-39716	16	31	desarrollaron	desarrollaron	PROPN
esrj-39716	16	32	dos	dos	PROPN
esrj-39716	16	33	clasificadores	clasificadore	NOUN
esrj-39716	16	34	,	,	PUNCT
esrj-39716	16	35	el	el	PROPN
esrj-39716	16	36	primero	primero	PROPN
esrj-39716	16	37	separa	separa	PROPN
esrj-39716	16	38	las	las	PROPN
esrj-39716	16	39	características	características	PROPN
esrj-39716	16	40	de	de	PROPN
esrj-39716	16	41	textura	textura	PROPN
esrj-39716	16	42	usando	usando	PROPN
esrj-39716	16	43	un	un	PROPN
esrj-39716	16	44	enfoque	enfoque	PROPN
esrj-39716	16	45	basado	basado	PROPN
esrj-39716	16	46	en	en	PROPN
esrj-39716	16	47	la	la	PROPN
esrj-39716	16	48	norma	norma	PROPN
esrj-39716	16	49	euclideana	euclideana	PROPN
esrj-39716	16	50	y	y	PROPN
esrj-39716	16	51	el	el	PROPN
esrj-39716	16	52	segundo	segundo	PROPN
esrj-39716	16	53	basado	basado	PROPN
esrj-39716	16	54	en	en	X
esrj-39716	16	55	decisiones	decisione	VERB
esrj-39716	16	56	por	por	PROPN
esrj-39716	16	57	umbral	umbral	NOUN
esrj-39716	16	58	.	.	PUNCT
esrj-39716	17	1	la	la	PROPN
esrj-39716	17	2	formulación	formulación	PROPN
esrj-39716	17	3	matemática	matemática	PROPN
esrj-39716	17	4	detallada	detallada	PROPN
esrj-39716	17	5	de	de	PROPN
esrj-39716	17	6	los	los	PROPN
esrj-39716	17	7	clasificadores	clasificadores	PROPN
esrj-39716	17	8	desarrollados	desarrollados	PROPN
esrj-39716	17	9	se	se	X
esrj-39716	17	10	presenta	presenta	PROPN
esrj-39716	17	11	en	en	X
esrj-39716	17	12	este	este	X
esrj-39716	17	13	artículo	artículo	NOUN
esrj-39716	17	14	.	.	PUNCT
esrj-39716	18	1	el	el	PROPN
esrj-39716	18	2	sistema	sistema	PROPN
esrj-39716	18	3	de	de	X
esrj-39716	18	4	estimación	estimación	PROPN
esrj-39716	18	5	desarrollado	desarrollado	PROPN
esrj-39716	18	6	se	se	PROPN
esrj-39716	18	7	evalúa	evalúa	PROPN
esrj-39716	18	8	usando	usando	PROPN
esrj-39716	18	9	datos	datos	PROPN
esrj-39716	18	10	reales	reales	PROPN
esrj-39716	18	11	de	de	X
esrj-39716	18	12	imágenes	imágenes	X
esrj-39716	18	13	de	de	PROPN
esrj-39716	18	14	derrumbes	derrumbes	PROPN
esrj-39716	18	15	pertenecientes	perteneciente	NOUN
esrj-39716	18	16	a	a	DET
esrj-39716	18	17	un	un	PROPN
esrj-39716	18	18	pozo	pozo	PROPN
esrj-39716	18	19	petrolero	petrolero	PROPN
esrj-39716	18	20	.	.	PUNCT
esrj-39716	19	1	simulaciones	simulacione	VERB
esrj-39716	19	2	muestran	muestran	PROPN
esrj-39716	19	3	el	el	PROPN
esrj-39716	19	4	rendimiento	rendimiento	PROPN
esrj-39716	19	5	del	del	PROPN
esrj-39716	19	6	modelo	modelo	PROPN
esrj-39716	19	7	propuesto	propuesto	PROPN
esrj-39716	19	8	usando	usando	PROPN
esrj-39716	19	9	imágenes	imágene	VERB
esrj-39716	19	10	reales	reales	PROPN
esrj-39716	19	11	de	de	PROPN
esrj-39716	19	12	un	un	PROPN
esrj-39716	19	13	pozo	pozo	PROPN
esrj-39716	19	14	perteneciente	perteneciente	PROPN
esrj-39716	19	15	a	a	DET
esrj-39716	19	16	una	una	PROPN
esrj-39716	19	17	cuenca	cuenca	PROPN
esrj-39716	19	18	colombiana	colombiana	PROPN
esrj-39716	19	19	.	.	PUNCT
esrj-39716	20	1	la	la	PROPN
esrj-39716	20	2	correcta	correcta	PROPN
esrj-39716	20	3	clasificación	clasificación	PROPN
esrj-39716	20	4	para	para	PROPN
esrj-39716	20	5	una	una	PROPN
esrj-39716	20	6	base	base	PROPN
esrj-39716	20	7	de	de	X
esrj-39716	20	8	datos	datos	X
esrj-39716	20	9	de	de	PROPN
esrj-39716	20	10	imágenes	imágenes	PROPN
esrj-39716	20	11	que	que	PROPN
esrj-39716	20	12	contiene	contiene	PROPN
esrj-39716	20	13	17	17	NUM
esrj-39716	20	14	clases	clase	NOUN
esrj-39716	20	15	o	o	NOUN
esrj-39716	20	16	profundidades	profundidade	VERB
esrj-39716	20	17	es	es	X
esrj-39716	20	18	de	de	PROPN
esrj-39716	20	19	91.2	91.2	NUM
esrj-39716	20	20	%	%	NOUN
esrj-39716	20	21	.	.	PUNCT
esrj-39716	21	1	earth	earth	PROPN
esrj-39716	21	2	sciences	sciences	PROPN
esrj-39716	21	3	research	research	PROPN
esrj-39716	21	4	journal	journal	PROPN
esrj-39716	21	5	eart	eart	PROPN
esrj-39716	21	6	sci	sci	PROPN
esrj-39716	21	7	.	.	PUNCT
esrj-39716	22	1	res	res	PROPN
esrj-39716	22	2	.	.	PUNCT
esrj-39716	23	1	j.	j.	PROPN
esrj-39716	23	2	vol	vol	PROPN
esrj-39716	23	3	.	.	PROPN
esrj-39716	24	1	18	18	NUM
esrj-39716	24	2	,	,	PUNCT
esrj-39716	24	3	no	no	INTJ
esrj-39716	24	4	.	.	NOUN
esrj-39716	24	5	2	2	NUM
esrj-39716	24	6	(	(	PUNCT
esrj-39716	24	7	december	december	PROPN
esrj-39716	24	8	,	,	PUNCT
esrj-39716	24	9	2014	2014	NUM
esrj-39716	24	10	):	):	PUNCT
esrj-39716	24	11	157	157	NUM
esrj-39716	24	12	163	163	NUM
esrj-39716	24	13	abstract	abstract	ADJ
esrj-39716	24	14	resumen	resuman	NOUN
esrj-39716	24	15	key	key	ADJ
esrj-39716	24	16	words	word	NOUN
esrj-39716	24	17	:	:	PUNCT
esrj-39716	24	18	caving	cave	VERB
esrj-39716	24	19	classification	classification	NOUN
esrj-39716	24	20	.	.	PUNCT
esrj-39716	25	1	cuttings	cutting	NOUN
esrj-39716	25	2	.	.	PUNCT
esrj-39716	26	1	wellbore	wellbore	NOUN
esrj-39716	26	2	.	.	PUNCT
esrj-39716	27	1	rock	rock	NOUN
esrj-39716	27	2	images	image	NOUN
esrj-39716	27	3	.	.	PUNCT
esrj-39716	28	1	caving	cave	VERB
esrj-39716	28	2	depth	depth	NOUN
esrj-39716	28	3	.	.	PUNCT
esrj-39716	29	1	palabras	palabras	PROPN
esrj-39716	29	2	clave	clave	PROPN
esrj-39716	29	3	:	:	PUNCT
esrj-39716	29	4	clasificación	clasificación	PROPN
esrj-39716	29	5	de	de	PROPN
esrj-39716	29	6	cavings	caving	NOUN
esrj-39716	29	7	.	.	PUNCT
esrj-39716	30	1	ripios	ripio	NOUN
esrj-39716	30	2	de	de	ADP
esrj-39716	30	3	perforación	perforación	PROPN
esrj-39716	30	4	.	.	PUNCT
esrj-39716	31	1	pozo	pozo	PROPN
esrj-39716	31	2	petrolero	petrolero	PROPN
esrj-39716	31	3	.	.	PUNCT
esrj-39716	32	1	imágenes	imágenes	PROPN
esrj-39716	32	2	de	de	PROPN
esrj-39716	32	3	roca	roca	PROPN
esrj-39716	32	4	.	.	PUNCT
esrj-39716	33	1	profundidad	profundidad	PROPN
esrj-39716	33	2	de	de	X
esrj-39716	33	3	derrumbes	derrumbes	PROPN
esrj-39716	33	4	.	.	PUNCT
esrj-39716	34	1	record	record	NOUN
esrj-39716	34	2	manuscript	manuscript	NOUN
esrj-39716	34	3	received	receive	VERB
esrj-39716	34	4	:	:	PUNCT
esrj-39716	34	5	31/08/2013	31/08/2013	NUM
esrj-39716	34	6	accepted	accept	VERB
esrj-39716	34	7	for	for	ADP
esrj-39716	34	8	publication	publication	NOUN
esrj-39716	34	9	:	:	PUNCT
esrj-39716	34	10	25/09/2014	25/09/2014	NUM
esrj-39716	34	11	caving	cave	VERB
esrj-39716	34	12	depth	depth	NOUN
esrj-39716	34	13	classification	classification	NOUN
esrj-39716	34	14	by	by	ADP
esrj-39716	34	15	feature	feature	NOUN
esrj-39716	34	16	extraction	extraction	NOUN
esrj-39716	34	17	in	in	ADP
esrj-39716	34	18	cuttings	cutting	NOUN
esrj-39716	34	19	images	image	NOUN
esrj-39716	34	20	laura	laura	PROPN
esrj-39716	34	21	viviana	viviana	PROPN
esrj-39716	34	22	galvis	galvis	PROPN
esrj-39716	34	23	c.¹˴³	c.¹˴³	PROPN
esrj-39716	34	24	,	,	PUNCT
esrj-39716	34	25	reinel	reinel	VERB
esrj-39716	34	26	corzo	corzo	NOUN
esrj-39716	34	27	rueda²	rueda²	NOUN
esrj-39716	34	28	,	,	PUNCT
esrj-39716	34	29	henry	henry	PROPN
esrj-39716	34	30	arguello	arguello	PROPN
esrj-39716	34	31	fuentes³	fuentes³	VERB
esrj-39716	34	32	¹	¹	PROPN
esrj-39716	34	33	grupo	grupo	X
esrj-39716	34	34	de	de	PROPN
esrj-39716	34	35	investigación	investigación	PROPN
esrj-39716	34	36	estabilidad	estabilidad	PROPN
esrj-39716	34	37	de	de	X
esrj-39716	34	38	pozo	pozo	PROPN
esrj-39716	34	39	(	(	PUNCT
esrj-39716	34	40	giep	giep	PROPN
esrj-39716	34	41	)	)	PUNCT
esrj-39716	34	42	.	.	PUNCT
esrj-39716	35	1	universidad	universidad	PROPN
esrj-39716	35	2	industrial	industrial	PROPN
esrj-39716	35	3	de	de	X
esrj-39716	35	4	santander	santander	NOUN
esrj-39716	35	5	,	,	PUNCT
esrj-39716	35	6	bucaramanga	bucaramanga	PROPN
esrj-39716	35	7	,	,	PUNCT
esrj-39716	35	8	colombia	colombia	PROPN
esrj-39716	35	9	.	.	PUNCT
esrj-39716	36	1	²	²	NUM
esrj-39716	36	2	ecopetrol	ecopetrol	NOUN
esrj-39716	36	3	-	-	PUNCT
esrj-39716	36	4	instituto	instituto	PROPN
esrj-39716	36	5	colombiano	colombiano	PROPN
esrj-39716	36	6	del	del	PROPN
esrj-39716	36	7	petróleo	petróleo	PROPN
esrj-39716	36	8	.	.	PUNCT
esrj-39716	37	1	grupo	grupo	PROPN
esrj-39716	37	2	de	de	PROPN
esrj-39716	37	3	investigación	investigación	PROPN
esrj-39716	37	4	estabilidad	estabilidad	PROPN
esrj-39716	37	5	de	de	X
esrj-39716	37	6	pozo	pozo	PROPN
esrj-39716	37	7	,	,	PUNCT
esrj-39716	37	8	piedecuesta	piedecuesta	PROPN
esrj-39716	37	9	,	,	PUNCT
esrj-39716	37	10	colombia	colombia	PROPN
esrj-39716	37	11	.	.	PUNCT
esrj-39716	38	1	³	³	PROPN
esrj-39716	38	2	escuela	escuela	PROPN
esrj-39716	38	3	ingeniería	ingeniería	PROPN
esrj-39716	38	4	de	de	PROPN
esrj-39716	38	5	sistemas	sistemas	PROPN
esrj-39716	38	6	e	e	PROPN
esrj-39716	38	7	informática	informática	PROPN
esrj-39716	38	8	.	.	PUNCT
esrj-39716	39	1	universidad	universidad	PROPN
esrj-39716	39	2	industrial	industrial	PROPN
esrj-39716	39	3	de	de	X
esrj-39716	39	4	santander	santander	NOUN
esrj-39716	39	5	,	,	PUNCT
esrj-39716	39	6	bucaramanga	bucaramanga	PROPN
esrj-39716	39	7	,	,	PUNCT
esrj-39716	39	8	colombia	colombia	PROPN
esrj-39716	39	9	.	.	PUNCT
esrj-39716	40	1	geotechnics	geotechnics	PROPN
esrj-39716	40	2	issn	issn	VERB
esrj-39716	40	3	1794	1794	NUM
esrj-39716	40	4	-	-	SYM
esrj-39716	40	5	6190	6190	NUM
esrj-39716	40	6	e	e	NOUN
esrj-39716	40	7	-	-	NOUN
esrj-39716	40	8	issn	issn	PROPN
esrj-39716	40	9	2339	2339	NUM
esrj-39716	40	10	-	-	SYM
esrj-39716	40	11	3459	3459	NUM
esrj-39716	40	12	http://dx.doi.org/10.15446/esrj.v18n2.39716	http://dx.doi.org/10.15446/esrj.v18n2.39716	NOUN
esrj-39716	40	13	http://dx.doi.org/10.15446/esrj.v18n2.39716	http://dx.doi.org/10.15446/esrj.v18n2.39716	NOUN
esrj-39716	40	14	158	158	NUM
esrj-39716	40	15	laura	laura	PROPN
esrj-39716	40	16	viviana	viviana	PROPN
esrj-39716	40	17	galvis	galvis	PROPN
esrj-39716	40	18	c.	c.	PROPN
esrj-39716	40	19	,	,	PUNCT
esrj-39716	40	20	reinel	reinel	VERB
esrj-39716	40	21	corzo	corzo	NOUN
esrj-39716	40	22	rueda	rueda	PROPN
esrj-39716	40	23	,	,	PUNCT
esrj-39716	40	24	henry	henry	PROPN
esrj-39716	40	25	arguello	arguello	PROPN
esrj-39716	40	26	fuentes	fuentes	PROPN
esrj-39716	40	27	1	1	NUM
esrj-39716	40	28	.	.	PUNCT
esrj-39716	41	1	introduction	introduction	NOUN
esrj-39716	41	2	a	a	DET
esrj-39716	41	3	crucial	crucial	ADJ
esrj-39716	41	4	problem	problem	NOUN
esrj-39716	41	5	in	in	ADP
esrj-39716	41	6	the	the	DET
esrj-39716	41	7	oil	oil	NOUN
esrj-39716	41	8	industry	industry	NOUN
esrj-39716	41	9	is	be	AUX
esrj-39716	41	10	the	the	DET
esrj-39716	41	11	collapse	collapse	NOUN
esrj-39716	41	12	of	of	ADP
esrj-39716	41	13	the	the	DET
esrj-39716	41	14	wellbore	wellbore	NOUN
esrj-39716	41	15	during	during	ADP
esrj-39716	41	16	the	the	DET
esrj-39716	41	17	drilling	drilling	NOUN
esrj-39716	41	18	process	process	NOUN
esrj-39716	41	19	.	.	PUNCT
esrj-39716	42	1	the	the	DET
esrj-39716	42	2	collapse	collapse	NOUN
esrj-39716	42	3	of	of	ADP
esrj-39716	42	4	the	the	DET
esrj-39716	42	5	wellbore	wellbore	NOUN
esrj-39716	42	6	occurs	occur	VERB
esrj-39716	42	7	when	when	SCONJ
esrj-39716	42	8	pieces	piece	NOUN
esrj-39716	42	9	of	of	ADP
esrj-39716	42	10	rock	rock	NOUN
esrj-39716	42	11	fall	fall	NOUN
esrj-39716	42	12	from	from	ADP
esrj-39716	42	13	the	the	DET
esrj-39716	42	14	walls	wall	NOUN
esrj-39716	42	15	of	of	ADP
esrj-39716	42	16	the	the	DET
esrj-39716	42	17	borehole	borehole	NOUN
esrj-39716	42	18	,	,	PUNCT
esrj-39716	42	19	which	which	PRON
esrj-39716	42	20	is	be	AUX
esrj-39716	42	21	usually	usually	ADV
esrj-39716	42	22	known	know	VERB
esrj-39716	42	23	as	as	ADP
esrj-39716	42	24	caving	cave	VERB
esrj-39716	42	25	(	(	PUNCT
esrj-39716	42	26	aldred	aldre	VERB
esrj-39716	42	27	,	,	PUNCT
esrj-39716	42	28	et	et	PROPN
esrj-39716	42	29	al	al	PROPN
esrj-39716	42	30	.	.	PROPN
esrj-39716	42	31	,	,	PUNCT
esrj-39716	42	32	1999	1999	NUM
esrj-39716	42	33	)	)	PUNCT
esrj-39716	42	34	.	.	PUNCT
esrj-39716	43	1	the	the	DET
esrj-39716	43	2	costs	cost	NOUN
esrj-39716	43	3	associated	associate	VERB
esrj-39716	43	4	with	with	ADP
esrj-39716	43	5	the	the	DET
esrj-39716	43	6	drilling	drilling	NOUN
esrj-39716	43	7	process	process	NOUN
esrj-39716	43	8	are	be	AUX
esrj-39716	43	9	in	in	ADP
esrj-39716	43	10	the	the	DET
esrj-39716	43	11	millions	million	NOUN
esrj-39716	43	12	,	,	PUNCT
esrj-39716	43	13	and	and	CCONJ
esrj-39716	43	14	between	between	ADP
esrj-39716	43	15	15	15	NUM
esrj-39716	43	16	%	%	NOUN
esrj-39716	43	17	and	and	CCONJ
esrj-39716	43	18	30	30	NUM
esrj-39716	43	19	%	%	NOUN
esrj-39716	43	20	of	of	ADP
esrj-39716	43	21	the	the	DET
esrj-39716	43	22	total	total	ADJ
esrj-39716	43	23	resources	resource	NOUN
esrj-39716	43	24	dedicated	dedicate	VERB
esrj-39716	43	25	to	to	ADP
esrj-39716	43	26	an	an	DET
esrj-39716	43	27	oil	oil	NOUN
esrj-39716	43	28	project	project	NOUN
esrj-39716	43	29	are	be	AUX
esrj-39716	43	30	designated	designate	VERB
esrj-39716	43	31	to	to	PART
esrj-39716	43	32	cover	cover	VERB
esrj-39716	43	33	losses	loss	NOUN
esrj-39716	43	34	,	,	PUNCT
esrj-39716	43	35	including	include	VERB
esrj-39716	43	36	material	material	NOUN
esrj-39716	43	37	and	and	CCONJ
esrj-39716	43	38	drilling	drilling	NOUN
esrj-39716	43	39	equipment	equipment	NOUN
esrj-39716	43	40	and	and	CCONJ
esrj-39716	43	41	continuity	continuity	NOUN
esrj-39716	43	42	of	of	ADP
esrj-39716	43	43	the	the	DET
esrj-39716	43	44	drilling	drilling	NOUN
esrj-39716	43	45	process	process	NOUN
esrj-39716	43	46	;	;	PUNCT
esrj-39716	43	47	these	these	DET
esrj-39716	43	48	losses	loss	NOUN
esrj-39716	43	49	are	be	AUX
esrj-39716	43	50	known	know	VERB
esrj-39716	43	51	as	as	ADP
esrj-39716	43	52	non	non	ADJ
esrj-39716	43	53	-	-	ADJ
esrj-39716	43	54	productive	productive	ADJ
esrj-39716	43	55	time	time	NOUN
esrj-39716	43	56	(	(	PUNCT
esrj-39716	43	57	aldred	aldre	VERB
esrj-39716	43	58	,	,	PUNCT
esrj-39716	43	59	et	et	PROPN
esrj-39716	43	60	al	al	PROPN
esrj-39716	43	61	.	.	PROPN
esrj-39716	43	62	,	,	PUNCT
esrj-39716	43	63	1999	1999	NUM
esrj-39716	43	64	)	)	PUNCT
esrj-39716	43	65	.	.	PUNCT
esrj-39716	44	1	hence	hence	ADV
esrj-39716	44	2	,	,	PUNCT
esrj-39716	44	3	classifying	classify	VERB
esrj-39716	44	4	the	the	DET
esrj-39716	44	5	rocks	rock	NOUN
esrj-39716	44	6	associated	associate	VERB
esrj-39716	44	7	with	with	ADP
esrj-39716	44	8	the	the	DET
esrj-39716	44	9	collapse	collapse	NOUN
esrj-39716	44	10	of	of	ADP
esrj-39716	44	11	the	the	DET
esrj-39716	44	12	wellbore	wellbore	NOUN
esrj-39716	44	13	is	be	AUX
esrj-39716	44	14	an	an	DET
esrj-39716	44	15	important	important	ADJ
esrj-39716	44	16	area	area	NOUN
esrj-39716	44	17	of	of	ADP
esrj-39716	44	18	research	research	NOUN
esrj-39716	44	19	in	in	ADP
esrj-39716	44	20	this	this	DET
esrj-39716	44	21	industry	industry	NOUN
esrj-39716	44	22	.	.	PUNCT
esrj-39716	45	1	in	in	ADP
esrj-39716	45	2	the	the	DET
esrj-39716	45	3	oil	oil	NOUN
esrj-39716	45	4	industry	industry	NOUN
esrj-39716	45	5	,	,	PUNCT
esrj-39716	45	6	the	the	DET
esrj-39716	45	7	estimation	estimation	NOUN
esrj-39716	45	8	of	of	ADP
esrj-39716	45	9	the	the	DET
esrj-39716	45	10	caving	cave	VERB
esrj-39716	45	11	depth	depth	NOUN
esrj-39716	45	12	is	be	AUX
esrj-39716	45	13	of	of	ADP
esrj-39716	45	14	particular	particular	ADJ
esrj-39716	45	15	interest	interest	NOUN
esrj-39716	45	16	.	.	PUNCT
esrj-39716	46	1	conventional	conventional	ADJ
esrj-39716	46	2	techniques	technique	NOUN
esrj-39716	46	3	used	use	VERB
esrj-39716	46	4	in	in	ADP
esrj-39716	46	5	geology	geology	NOUN
esrj-39716	46	6	do	do	AUX
esrj-39716	46	7	not	not	PART
esrj-39716	46	8	solve	solve	VERB
esrj-39716	46	9	this	this	DET
esrj-39716	46	10	problem	problem	NOUN
esrj-39716	46	11	because	because	SCONJ
esrj-39716	46	12	they	they	PRON
esrj-39716	46	13	require	require	VERB
esrj-39716	46	14	excessive	excessive	ADJ
esrj-39716	46	15	processing	processing	NOUN
esrj-39716	46	16	time	time	NOUN
esrj-39716	46	17	.	.	PUNCT
esrj-39716	47	1	specifically	specifically	ADV
esrj-39716	47	2	,	,	PUNCT
esrj-39716	47	3	the	the	DET
esrj-39716	47	4	geological	geological	ADJ
esrj-39716	47	5	age	age	NOUN
esrj-39716	47	6	of	of	ADP
esrj-39716	47	7	the	the	DET
esrj-39716	47	8	caving	cave	VERB
esrj-39716	47	9	materials	material	NOUN
esrj-39716	47	10	provides	provide	VERB
esrj-39716	47	11	information	information	NOUN
esrj-39716	47	12	about	about	ADP
esrj-39716	47	13	their	their	PRON
esrj-39716	47	14	approximate	approximate	ADJ
esrj-39716	47	15	depth	depth	NOUN
esrj-39716	47	16	.	.	PUNCT
esrj-39716	48	1	however	however	ADV
esrj-39716	48	2	,	,	PUNCT
esrj-39716	48	3	this	this	DET
esrj-39716	48	4	method	method	NOUN
esrj-39716	48	5	requires	require	VERB
esrj-39716	48	6	a	a	DET
esrj-39716	48	7	micro	micro	ADJ
esrj-39716	48	8	-	-	ADJ
esrj-39716	48	9	paleontological	paleontological	ADJ
esrj-39716	48	10	analysis	analysis	NOUN
esrj-39716	48	11	that	that	PRON
esrj-39716	48	12	is	be	AUX
esrj-39716	48	13	not	not	PART
esrj-39716	48	14	immediately	immediately	ADV
esrj-39716	48	15	available	available	ADJ
esrj-39716	48	16	(	(	PUNCT
esrj-39716	48	17	aldred	aldre	VERB
esrj-39716	48	18	,	,	PUNCT
esrj-39716	48	19	et	et	PROPN
esrj-39716	48	20	al	al	PROPN
esrj-39716	48	21	.	.	PROPN
esrj-39716	48	22	,	,	PUNCT
esrj-39716	48	23	1999	1999	NUM
esrj-39716	48	24	)	)	PUNCT
esrj-39716	48	25	.	.	PUNCT
esrj-39716	49	1	despite	despite	SCONJ
esrj-39716	49	2	extensive	extensive	ADJ
esrj-39716	49	3	work	work	NOUN
esrj-39716	49	4	in	in	ADP
esrj-39716	49	5	pattern	pattern	NOUN
esrj-39716	49	6	recognition	recognition	NOUN
esrj-39716	49	7	and	and	CCONJ
esrj-39716	49	8	rock	rock	NOUN
esrj-39716	49	9	classification	classification	NOUN
esrj-39716	49	10	(	(	PUNCT
esrj-39716	49	11	crida	crida	PROPN
esrj-39716	49	12	&	&	CCONJ
esrj-39716	49	13	de	de	PROPN
esrj-39716	49	14	jager	jager	PROPN
esrj-39716	49	15	,	,	PUNCT
esrj-39716	49	16	1996	1996	NUM
esrj-39716	49	17	)	)	PUNCT
esrj-39716	49	18	,	,	PUNCT
esrj-39716	49	19	(	(	PUNCT
esrj-39716	49	20	mengko	mengko	PROPN
esrj-39716	49	21	,	,	PUNCT
esrj-39716	49	22	susilowati	susilowati	NOUN
esrj-39716	49	23	,	,	PUNCT
esrj-39716	49	24	mengko	mengko	VERB
esrj-39716	49	25	,	,	PUNCT
esrj-39716	49	26	&	&	CCONJ
esrj-39716	49	27	leksono	leksono	PROPN
esrj-39716	49	28	,	,	PUNCT
esrj-39716	49	29	2000	2000	NUM
esrj-39716	49	30	)	)	PUNCT
esrj-39716	49	31	,	,	PUNCT
esrj-39716	49	32	(	(	PUNCT
esrj-39716	49	33	thompson	thompson	NOUN
esrj-39716	49	34	,	,	PUNCT
esrj-39716	49	35	niekum	niekum	NOUN
esrj-39716	49	36	,	,	PUNCT
esrj-39716	49	37	smith	smith	PROPN
esrj-39716	49	38	,	,	PUNCT
esrj-39716	49	39	&	&	CCONJ
esrj-39716	49	40	wettergreen	wettergreen	PROPN
esrj-39716	49	41	,	,	PUNCT
esrj-39716	49	42	2005	2005	NUM
esrj-39716	49	43	)	)	PUNCT
esrj-39716	49	44	,	,	PUNCT
esrj-39716	49	45	(	(	PUNCT
esrj-39716	49	46	wang	wang	PROPN
esrj-39716	49	47	&	&	CCONJ
esrj-39716	49	48	lin	lin	PROPN
esrj-39716	49	49	,	,	PUNCT
esrj-39716	49	50	2005	2005	NUM
esrj-39716	49	51	)	)	PUNCT
esrj-39716	49	52	,	,	PUNCT
esrj-39716	49	53	(	(	PUNCT
esrj-39716	49	54	galvis	galvis	PROPN
esrj-39716	49	55	,	,	PUNCT
esrj-39716	49	56	ochoa	ochoa	PROPN
esrj-39716	49	57	,	,	PUNCT
esrj-39716	49	58	arguello	arguello	PROPN
esrj-39716	49	59	,	,	PUNCT
esrj-39716	49	60	carvajal	carvajal	PROPN
esrj-39716	49	61	,	,	PUNCT
esrj-39716	49	62	&	&	CCONJ
esrj-39716	49	63	calderón	calderón	NOUN
esrj-39716	49	64	,	,	PUNCT
esrj-39716	49	65	2011	2011	NUM
esrj-39716	49	66	)	)	PUNCT
esrj-39716	49	67	,	,	PUNCT
esrj-39716	49	68	(	(	PUNCT
esrj-39716	49	69	marmo	marmo	NOUN
esrj-39716	49	70	,	,	PUNCT
esrj-39716	49	71	amodio	amodio	NOUN
esrj-39716	49	72	,	,	PUNCT
esrj-39716	49	73	tagliaferri	tagliaferri	NOUN
esrj-39716	49	74	,	,	PUNCT
esrj-39716	49	75	ferreri	ferreri	PROPN
esrj-39716	49	76	,	,	PUNCT
esrj-39716	49	77	&	&	CCONJ
esrj-39716	49	78	longo	longo	PROPN
esrj-39716	49	79	,	,	PUNCT
esrj-39716	49	80	2005	2005	NUM
esrj-39716	49	81	)	)	PUNCT
esrj-39716	49	82	,	,	PUNCT
esrj-39716	49	83	(	(	PUNCT
esrj-39716	49	84	bajwa	bajwa	PROPN
esrj-39716	49	85	&	&	CCONJ
esrj-39716	49	86	choudhary	choudhary	PROPN
esrj-39716	49	87	,	,	PUNCT
esrj-39716	49	88	2006	2006	NUM
esrj-39716	49	89	)	)	PUNCT
esrj-39716	49	90	,	,	PUNCT
esrj-39716	49	91	(	(	PUNCT
esrj-39716	49	92	kachanuban	kachanuban	PROPN
esrj-39716	49	93	&	&	CCONJ
esrj-39716	49	94	udomhunsakul	udomhunsakul	ADJ
esrj-39716	49	95	,	,	PUNCT
esrj-39716	49	96	2007	2007	NUM
esrj-39716	49	97	)	)	PUNCT
esrj-39716	49	98	,	,	PUNCT
esrj-39716	49	99	research	research	NOUN
esrj-39716	49	100	regarding	regard	VERB
esrj-39716	49	101	depth	depth	NOUN
esrj-39716	49	102	estimation	estimation	NOUN
esrj-39716	49	103	based	base	VERB
esrj-39716	49	104	on	on	ADP
esrj-39716	49	105	caving	cave	VERB
esrj-39716	49	106	rock	rock	NOUN
esrj-39716	49	107	images	image	NOUN
esrj-39716	49	108	is	be	AUX
esrj-39716	49	109	extremely	extremely	ADV
esrj-39716	49	110	limited	limited	ADJ
esrj-39716	49	111	.	.	PUNCT
esrj-39716	50	1	the	the	DET
esrj-39716	50	2	problem	problem	NOUN
esrj-39716	50	3	of	of	ADP
esrj-39716	50	4	rock	rock	NOUN
esrj-39716	50	5	classification	classification	NOUN
esrj-39716	50	6	during	during	ADP
esrj-39716	50	7	the	the	DET
esrj-39716	50	8	drilling	drilling	NOUN
esrj-39716	50	9	process	process	NOUN
esrj-39716	50	10	is	be	AUX
esrj-39716	50	11	investigated	investigate	VERB
esrj-39716	50	12	by	by	ADP
esrj-39716	50	13	analyzing	analyze	VERB
esrj-39716	50	14	the	the	DET
esrj-39716	50	15	cutting	cut	VERB
esrj-39716	50	16	concentration	concentration	NOUN
esrj-39716	50	17	at	at	ADP
esrj-39716	50	18	the	the	DET
esrj-39716	50	19	vibrating	vibrate	VERB
esrj-39716	50	20	shale	shale	NOUN
esrj-39716	50	21	shakers	shaker	NOUN
esrj-39716	50	22	by	by	ADP
esrj-39716	50	23	classifying	classify	VERB
esrj-39716	50	24	caving	cave	VERB
esrj-39716	50	25	images	image	NOUN
esrj-39716	50	26	(	(	PUNCT
esrj-39716	50	27	marana	marana	PROPN
esrj-39716	50	28	,	,	PUNCT
esrj-39716	50	29	et	et	PROPN
esrj-39716	50	30	al	al	PROPN
esrj-39716	50	31	.	.	PROPN
esrj-39716	50	32	,	,	PUNCT
esrj-39716	50	33	2009	2009	NUM
esrj-39716	50	34	)	)	PUNCT
esrj-39716	50	35	.	.	PUNCT
esrj-39716	51	1	the	the	DET
esrj-39716	51	2	detection	detection	NOUN
esrj-39716	51	3	of	of	ADP
esrj-39716	51	4	a	a	DET
esrj-39716	51	5	high	high	ADJ
esrj-39716	51	6	caving	caving	NOUN
esrj-39716	51	7	concentration	concentration	NOUN
esrj-39716	51	8	indicates	indicate	VERB
esrj-39716	51	9	problems	problem	NOUN
esrj-39716	51	10	such	such	ADJ
esrj-39716	51	11	as	as	ADP
esrj-39716	51	12	the	the	DET
esrj-39716	51	13	collapse	collapse	NOUN
esrj-39716	51	14	of	of	ADP
esrj-39716	51	15	the	the	DET
esrj-39716	51	16	well	well	ADJ
esrj-39716	51	17	borehole	borehole	NOUN
esrj-39716	51	18	walls	wall	NOUN
esrj-39716	51	19	(	(	PUNCT
esrj-39716	51	20	castillo	castillo	PROPN
esrj-39716	51	21	&	&	CCONJ
esrj-39716	51	22	moos	moos	PROPN
esrj-39716	51	23	,	,	PUNCT
esrj-39716	51	24	2000	2000	NUM
esrj-39716	51	25	)	)	PUNCT
esrj-39716	51	26	.	.	PUNCT
esrj-39716	52	1	the	the	DET
esrj-39716	52	2	cutting	cut	VERB
esrj-39716	52	3	concentration	concentration	NOUN
esrj-39716	52	4	has	have	AUX
esrj-39716	52	5	been	be	AUX
esrj-39716	52	6	addressed	address	VERB
esrj-39716	52	7	using	use	VERB
esrj-39716	52	8	several	several	ADJ
esrj-39716	52	9	supervised	supervised	ADJ
esrj-39716	52	10	classifiers	classifier	NOUN
esrj-39716	52	11	,	,	PUNCT
esrj-39716	52	12	such	such	ADJ
esrj-39716	52	13	as	as	ADP
esrj-39716	52	14	the	the	DET
esrj-39716	52	15	optimum	optimum	ADJ
esrj-39716	52	16	-	-	PUNCT
esrj-39716	52	17	path	path	NOUN
esrj-39716	52	18	forest	forest	NOUN
esrj-39716	52	19	(	(	PUNCT
esrj-39716	52	20	opf	opf	PROPN
esrj-39716	52	21	)	)	PUNCT
esrj-39716	52	22	,	,	PUNCT
esrj-39716	52	23	artificial	artificial	ADJ
esrj-39716	52	24	neural	neural	ADJ
esrj-39716	52	25	networks	network	NOUN
esrj-39716	52	26	with	with	ADP
esrj-39716	52	27	multi	multi	ADJ
esrj-39716	52	28	layer	layer	NOUN
esrj-39716	52	29	perceptron	perceptron	PROPN
esrj-39716	52	30	(	(	PUNCT
esrj-39716	52	31	ann	ann	PROPN
esrj-39716	52	32	-	-	PUNCT
esrj-39716	52	33	mlp	mlp	PROPN
esrj-39716	52	34	)	)	PUNCT
esrj-39716	52	35	,	,	PUNCT
esrj-39716	52	36	support	support	VERB
esrj-39716	52	37	vector	vector	NOUN
esrj-39716	52	38	machines	machine	NOUN
esrj-39716	52	39	(	(	PUNCT
esrj-39716	52	40	svm	svm	PROPN
esrj-39716	52	41	)	)	PUNCT
esrj-39716	52	42	and	and	CCONJ
esrj-39716	52	43	bayesian	bayesian	NOUN
esrj-39716	52	44	classifiers	classifier	NOUN
esrj-39716	52	45	(	(	PUNCT
esrj-39716	52	46	bc	bc	PROPN
esrj-39716	52	47	)	)	PUNCT
esrj-39716	52	48	(	(	PUNCT
esrj-39716	52	49	marana	marana	PROPN
esrj-39716	52	50	,	,	PUNCT
esrj-39716	52	51	et	et	PROPN
esrj-39716	52	52	al	al	PROPN
esrj-39716	52	53	.	.	PROPN
esrj-39716	52	54	,	,	PUNCT
esrj-39716	52	55	2009	2009	NUM
esrj-39716	52	56	)	)	PUNCT
esrj-39716	52	57	.	.	PUNCT
esrj-39716	53	1	artificial	artificial	ADJ
esrj-39716	53	2	neural	neural	ADJ
esrj-39716	53	3	networks	network	NOUN
esrj-39716	53	4	and	and	CCONJ
esrj-39716	53	5	svm	svm	PROPN
esrj-39716	53	6	are	be	AUX
esrj-39716	53	7	the	the	DET
esrj-39716	53	8	most	most	ADV
esrj-39716	53	9	used	use	VERB
esrj-39716	53	10	and	and	CCONJ
esrj-39716	53	11	result	result	VERB
esrj-39716	53	12	in	in	ADP
esrj-39716	53	13	up	up	ADP
esrj-39716	53	14	to	to	PART
esrj-39716	53	15	93.5	93.5	NUM
esrj-39716	53	16	%	%	NOUN
esrj-39716	53	17	correct	correct	ADJ
esrj-39716	53	18	classification	classification	NOUN
esrj-39716	53	19	when	when	SCONJ
esrj-39716	53	20	the	the	DET
esrj-39716	53	21	rocks	rock	NOUN
esrj-39716	53	22	texture	texture	NOUN
esrj-39716	53	23	is	be	AUX
esrj-39716	53	24	analyzed	analyze	VERB
esrj-39716	53	25	(	(	PUNCT
esrj-39716	53	26	singh	singh	PROPN
esrj-39716	53	27	,	,	PUNCT
esrj-39716	53	28	singh	singh	PROPN
esrj-39716	53	29	,	,	PUNCT
esrj-39716	53	30	tiwary	tiwary	PROPN
esrj-39716	53	31	,	,	PUNCT
esrj-39716	53	32	&	&	CCONJ
esrj-39716	53	33	sarkar	sarkar	PROPN
esrj-39716	53	34	,	,	PUNCT
esrj-39716	53	35	2010	2010	NUM
esrj-39716	53	36	)	)	PUNCT
esrj-39716	53	37	,	,	PUNCT
esrj-39716	53	38	(	(	PUNCT
esrj-39716	53	39	marmo	marmo	NOUN
esrj-39716	53	40	,	,	PUNCT
esrj-39716	53	41	amodio	amodio	NOUN
esrj-39716	53	42	,	,	PUNCT
esrj-39716	53	43	tagliaferri	tagliaferri	NOUN
esrj-39716	53	44	,	,	PUNCT
esrj-39716	53	45	ferreri	ferreri	PROPN
esrj-39716	53	46	,	,	PUNCT
esrj-39716	53	47	&	&	CCONJ
esrj-39716	53	48	longo	longo	PROPN
esrj-39716	53	49	,	,	PUNCT
esrj-39716	53	50	2005	2005	NUM
esrj-39716	53	51	)	)	PUNCT
esrj-39716	53	52	.	.	PUNCT
esrj-39716	54	1	the	the	DET
esrj-39716	54	2	opf	opf	NOUN
esrj-39716	54	3	technique	technique	NOUN
esrj-39716	54	4	offers	offer	VERB
esrj-39716	54	5	a	a	DET
esrj-39716	54	6	lower	low	ADJ
esrj-39716	54	7	computational	computational	ADJ
esrj-39716	54	8	complexity	complexity	NOUN
esrj-39716	54	9	than	than	ADP
esrj-39716	54	10	other	other	ADJ
esrj-39716	54	11	methods	method	NOUN
esrj-39716	54	12	(	(	PUNCT
esrj-39716	54	13	marana	marana	PROPN
esrj-39716	54	14	,	,	PUNCT
esrj-39716	54	15	et	et	PROPN
esrj-39716	54	16	al	al	PROPN
esrj-39716	54	17	.	.	PROPN
esrj-39716	54	18	,	,	PUNCT
esrj-39716	54	19	2009	2009	NUM
esrj-39716	54	20	)	)	PUNCT
esrj-39716	54	21	.	.	PUNCT
esrj-39716	55	1	the	the	DET
esrj-39716	55	2	bayesian	bayesian	NOUN
esrj-39716	55	3	classifier	classifier	NOUN
esrj-39716	55	4	is	be	AUX
esrj-39716	55	5	the	the	DET
esrj-39716	55	6	most	most	ADV
esrj-39716	55	7	traditional	traditional	ADJ
esrj-39716	55	8	classification	classification	NOUN
esrj-39716	55	9	method	method	NOUN
esrj-39716	55	10	,	,	PUNCT
esrj-39716	55	11	and	and	CCONJ
esrj-39716	55	12	its	its	PRON
esrj-39716	55	13	principal	principal	ADJ
esrj-39716	55	14	advantages	advantage	NOUN
esrj-39716	55	15	include	include	VERB
esrj-39716	55	16	its	its	PRON
esrj-39716	55	17	simplicity	simplicity	NOUN
esrj-39716	55	18	,	,	PUNCT
esrj-39716	55	19	better	well	ADJ
esrj-39716	55	20	performance	performance	NOUN
esrj-39716	55	21	when	when	SCONJ
esrj-39716	55	22	more	more	ADJ
esrj-39716	55	23	data	datum	NOUN
esrj-39716	55	24	are	be	AUX
esrj-39716	55	25	available	available	ADJ
esrj-39716	55	26	,	,	PUNCT
esrj-39716	55	27	and	and	CCONJ
esrj-39716	55	28	self	self	NOUN
esrj-39716	55	29	-	-	PUNCT
esrj-39716	55	30	correction	correction	NOUN
esrj-39716	55	31	,	,	PUNCT
esrj-39716	55	32	which	which	PRON
esrj-39716	55	33	means	mean	VERB
esrj-39716	55	34	that	that	SCONJ
esrj-39716	55	35	the	the	DET
esrj-39716	55	36	result	result	NOUN
esrj-39716	55	37	changes	change	VERB
esrj-39716	55	38	for	for	ADP
esrj-39716	55	39	different	different	ADJ
esrj-39716	55	40	data	datum	NOUN
esrj-39716	55	41	(	(	PUNCT
esrj-39716	55	42	islam	islam	PROPN
esrj-39716	55	43	,	,	PUNCT
esrj-39716	55	44	wu	wu	PROPN
esrj-39716	55	45	,	,	PUNCT
esrj-39716	55	46	ahmadi	ahmadi	PROPN
esrj-39716	55	47	,	,	PUNCT
esrj-39716	55	48	&	&	CCONJ
esrj-39716	55	49	sid	sid	PROPN
esrj-39716	55	50	-	-	PUNCT
esrj-39716	55	51	ahmed	ahme	VERB
esrj-39716	55	52	)	)	PUNCT
esrj-39716	55	53	.	.	PUNCT
esrj-39716	56	1	however	however	ADV
esrj-39716	56	2	,	,	PUNCT
esrj-39716	56	3	those	those	DET
esrj-39716	56	4	classification	classification	NOUN
esrj-39716	56	5	methods	method	NOUN
esrj-39716	56	6	have	have	VERB
esrj-39716	56	7	only	only	ADV
esrj-39716	56	8	a	a	DET
esrj-39716	56	9	few	few	ADJ
esrj-39716	56	10	well	well	ADV
esrj-39716	56	11	-	-	PUNCT
esrj-39716	56	12	established	establish	VERB
esrj-39716	56	13	classes	class	NOUN
esrj-39716	56	14	.	.	PUNCT
esrj-39716	57	1	despite	despite	SCONJ
esrj-39716	57	2	the	the	DET
esrj-39716	57	3	diverse	diverse	ADJ
esrj-39716	57	4	research	research	NOUN
esrj-39716	57	5	into	into	ADP
esrj-39716	57	6	cutting	cut	VERB
esrj-39716	57	7	concentration	concentration	NOUN
esrj-39716	57	8	,	,	PUNCT
esrj-39716	57	9	research	research	NOUN
esrj-39716	57	10	on	on	ADP
esrj-39716	57	11	depth	depth	NOUN
esrj-39716	57	12	estimation	estimation	NOUN
esrj-39716	57	13	using	use	VERB
esrj-39716	57	14	caving	cave	VERB
esrj-39716	57	15	images	image	NOUN
esrj-39716	57	16	is	be	AUX
esrj-39716	57	17	lacking	lack	VERB
esrj-39716	57	18	in	in	ADP
esrj-39716	57	19	the	the	DET
esrj-39716	57	20	literature	literature	NOUN
esrj-39716	57	21	(	(	PUNCT
esrj-39716	57	22	galvis	galvis	PROPN
esrj-39716	57	23	,	,	PUNCT
esrj-39716	57	24	arguello	arguello	PROPN
esrj-39716	57	25	,	,	PUNCT
esrj-39716	57	26	&	&	CCONJ
esrj-39716	57	27	tarazona	tarazona	PROPN
esrj-39716	57	28	,	,	PUNCT
esrj-39716	57	29	2011	2011	NUM
esrj-39716	57	30	)	)	PUNCT
esrj-39716	57	31	.	.	PUNCT
esrj-39716	58	1	this	this	DET
esrj-39716	58	2	paper	paper	NOUN
esrj-39716	58	3	presents	present	VERB
esrj-39716	58	4	a	a	DET
esrj-39716	58	5	new	new	ADJ
esrj-39716	58	6	system	system	NOUN
esrj-39716	58	7	for	for	ADP
esrj-39716	58	8	estimating	estimate	VERB
esrj-39716	58	9	caving	caving	NOUN
esrj-39716	58	10	depth	depth	NOUN
esrj-39716	58	11	based	base	VERB
esrj-39716	58	12	on	on	ADP
esrj-39716	58	13	features	feature	NOUN
esrj-39716	58	14	extracted	extract	VERB
esrj-39716	58	15	from	from	ADP
esrj-39716	58	16	rock	rock	NOUN
esrj-39716	58	17	images	image	NOUN
esrj-39716	58	18	.	.	PUNCT
esrj-39716	59	1	given	give	VERB
esrj-39716	59	2	a	a	DET
esrj-39716	59	3	set	set	NOUN
esrj-39716	59	4	of	of	ADP
esrj-39716	59	5	textural	textural	ADJ
esrj-39716	59	6	rock	rock	NOUN
esrj-39716	59	7	features	feature	NOUN
esrj-39716	59	8	,	,	PUNCT
esrj-39716	59	9	the	the	DET
esrj-39716	59	10	estimation	estimation	NOUN
esrj-39716	59	11	system	system	NOUN
esrj-39716	59	12	divides	divide	VERB
esrj-39716	59	13	the	the	DET
esrj-39716	59	14	caving	cave	VERB
esrj-39716	59	15	depth	depth	NOUN
esrj-39716	59	16	into	into	ADP
esrj-39716	59	17	a	a	DET
esrj-39716	59	18	set	set	NOUN
esrj-39716	59	19	of	of	ADP
esrj-39716	59	20	depth	depth	NOUN
esrj-39716	59	21	ranges	range	NOUN
esrj-39716	59	22	previously	previously	ADV
esrj-39716	59	23	established	establish	VERB
esrj-39716	59	24	as	as	ADP
esrj-39716	59	25	classes	class	NOUN
esrj-39716	59	26	in	in	ADP
esrj-39716	59	27	the	the	DET
esrj-39716	59	28	classification	classification	NOUN
esrj-39716	59	29	system	system	NOUN
esrj-39716	59	30	.	.	PUNCT
esrj-39716	60	1	the	the	DET
esrj-39716	60	2	depth	depth	NOUN
esrj-39716	60	3	classifier	classifier	NOUN
esrj-39716	60	4	aims	aim	VERB
esrj-39716	60	5	at	at	ADP
esrj-39716	60	6	separating	separate	VERB
esrj-39716	60	7	the	the	DET
esrj-39716	60	8	textural	textural	ADJ
esrj-39716	60	9	features	feature	NOUN
esrj-39716	60	10	by	by	ADP
esrj-39716	60	11	using	use	VERB
esrj-39716	60	12	a	a	DET
esrj-39716	60	13	soft	soft	ADJ
esrj-39716	60	14	decision	decision	NOUN
esrj-39716	60	15	based	base	VERB
esrj-39716	60	16	on	on	ADP
esrj-39716	60	17	the	the	DET
esrj-39716	60	18	euclidean	euclidean	ADJ
esrj-39716	60	19	distance	distance	NOUN
esrj-39716	60	20	and	and	CCONJ
esrj-39716	60	21	a	a	DET
esrj-39716	60	22	hard	hard	ADJ
esrj-39716	60	23	decision	decision	NOUN
esrj-39716	60	24	by	by	ADP
esrj-39716	60	25	using	use	VERB
esrj-39716	60	26	a	a	DET
esrj-39716	60	27	threshold	threshold	NOUN
esrj-39716	60	28	constant	constant	ADJ
esrj-39716	60	29	.	.	PUNCT
esrj-39716	61	1	the	the	DET
esrj-39716	61	2	developed	develop	VERB
esrj-39716	61	3	estimation	estimation	NOUN
esrj-39716	61	4	system	system	NOUN
esrj-39716	61	5	is	be	AUX
esrj-39716	61	6	verified	verify	VERB
esrj-39716	61	7	using	use	VERB
esrj-39716	61	8	real	real	ADJ
esrj-39716	61	9	data	datum	NOUN
esrj-39716	61	10	from	from	ADP
esrj-39716	61	11	rock	rock	NOUN
esrj-39716	61	12	cutting	cut	VERB
esrj-39716	61	13	images	image	NOUN
esrj-39716	61	14	in	in	ADP
esrj-39716	61	15	petroleum	petroleum	NOUN
esrj-39716	61	16	wells	well	NOUN
esrj-39716	61	17	.	.	PUNCT
esrj-39716	62	1	additionally	additionally	ADV
esrj-39716	62	2	,	,	PUNCT
esrj-39716	62	3	the	the	DET
esrj-39716	62	4	system	system	NOUN
esrj-39716	62	5	for	for	ADP
esrj-39716	62	6	estimating	estimate	VERB
esrj-39716	62	7	the	the	DET
esrj-39716	62	8	depth	depth	NOUN
esrj-39716	62	9	of	of	ADP
esrj-39716	62	10	caving	caving	NOUN
esrj-39716	62	11	can	can	AUX
esrj-39716	62	12	be	be	AUX
esrj-39716	62	13	extended	extend	VERB
esrj-39716	62	14	to	to	ADP
esrj-39716	62	15	other	other	ADJ
esrj-39716	62	16	areas	area	NOUN
esrj-39716	62	17	,	,	PUNCT
esrj-39716	62	18	such	such	ADJ
esrj-39716	62	19	as	as	ADP
esrj-39716	62	20	mining	mining	NOUN
esrj-39716	62	21	,	,	PUNCT
esrj-39716	62	22	where	where	SCONJ
esrj-39716	62	23	problems	problem	NOUN
esrj-39716	62	24	associated	associate	VERB
esrj-39716	62	25	with	with	ADP
esrj-39716	62	26	caving	cave	VERB
esrj-39716	62	27	in	in	ADP
esrj-39716	62	28	a	a	DET
esrj-39716	62	29	specific	specific	ADJ
esrj-39716	62	30	region	region	NOUN
esrj-39716	62	31	of	of	ADP
esrj-39716	62	32	the	the	DET
esrj-39716	62	33	wellbore	wellbore	NOUN
esrj-39716	62	34	can	can	AUX
esrj-39716	62	35	be	be	AUX
esrj-39716	62	36	avoided	avoid	VERB
esrj-39716	62	37	or	or	CCONJ
esrj-39716	62	38	addressed	address	VERB
esrj-39716	62	39	.	.	PUNCT
esrj-39716	63	1	this	this	PRON
esrj-39716	63	2	is	be	AUX
esrj-39716	63	3	the	the	DET
esrj-39716	63	4	first	first	ADJ
esrj-39716	63	5	work	work	NOUN
esrj-39716	63	6	applying	apply	VERB
esrj-39716	63	7	a	a	DET
esrj-39716	63	8	classification	classification	NOUN
esrj-39716	63	9	system	system	NOUN
esrj-39716	63	10	to	to	PART
esrj-39716	63	11	estimate	estimate	VERB
esrj-39716	63	12	the	the	DET
esrj-39716	63	13	depth	depth	NOUN
esrj-39716	63	14	of	of	ADP
esrj-39716	63	15	the	the	DET
esrj-39716	63	16	caving	caving	NOUN
esrj-39716	63	17	.	.	PUNCT
esrj-39716	64	1	the	the	DET
esrj-39716	64	2	principal	principal	ADJ
esrj-39716	64	3	contributions	contribution	NOUN
esrj-39716	64	4	of	of	ADP
esrj-39716	64	5	this	this	DET
esrj-39716	64	6	paper	paper	NOUN
esrj-39716	64	7	include	include	VERB
esrj-39716	64	8	the	the	DET
esrj-39716	64	9	establishment	establishment	NOUN
esrj-39716	64	10	of	of	ADP
esrj-39716	64	11	an	an	DET
esrj-39716	64	12	extensive	extensive	ADJ
esrj-39716	64	13	mathematical	mathematical	ADJ
esrj-39716	64	14	model	model	NOUN
esrj-39716	64	15	for	for	ADP
esrj-39716	64	16	the	the	DET
esrj-39716	64	17	rock	rock	NOUN
esrj-39716	64	18	classification	classification	NOUN
esrj-39716	64	19	problem	problem	NOUN
esrj-39716	64	20	and	and	CCONJ
esrj-39716	64	21	the	the	DET
esrj-39716	64	22	verification	verification	NOUN
esrj-39716	64	23	of	of	ADP
esrj-39716	64	24	the	the	DET
esrj-39716	64	25	developed	develop	VERB
esrj-39716	64	26	model	model	NOUN
esrj-39716	64	27	using	use	VERB
esrj-39716	64	28	images	image	NOUN
esrj-39716	64	29	from	from	ADP
esrj-39716	64	30	real	real	ADJ
esrj-39716	64	31	caving	caving	NOUN
esrj-39716	64	32	rocks	rock	NOUN
esrj-39716	64	33	.	.	PUNCT
esrj-39716	65	1	an	an	DET
esrj-39716	65	2	important	important	ADJ
esrj-39716	65	3	set	set	NOUN
esrj-39716	65	4	of	of	ADP
esrj-39716	65	5	caving	cave	VERB
esrj-39716	65	6	rocks	rock	NOUN
esrj-39716	65	7	,	,	PUNCT
esrj-39716	65	8	called	call	VERB
esrj-39716	65	9	cuttings	cutting	NOUN
esrj-39716	65	10	,	,	PUNCT
esrj-39716	65	11	are	be	AUX
esrj-39716	65	12	rocks	rock	NOUN
esrj-39716	65	13	whose	whose	DET
esrj-39716	65	14	depth	depth	NOUN
esrj-39716	65	15	origin	origin	NOUN
esrj-39716	65	16	is	be	AUX
esrj-39716	65	17	previously	previously	ADV
esrj-39716	65	18	known	know	VERB
esrj-39716	65	19	.	.	PUNCT
esrj-39716	66	1	each	each	PRON
esrj-39716	66	2	cutting	cut	VERB
esrj-39716	66	3	rock	rock	NOUN
esrj-39716	66	4	image	image	NOUN
esrj-39716	66	5	is	be	AUX
esrj-39716	66	6	considered	consider	VERB
esrj-39716	66	7	a	a	DET
esrj-39716	66	8	mosaic	mosaic	ADJ
esrj-39716	66	9	of	of	ADP
esrj-39716	66	10	different	different	ADJ
esrj-39716	66	11	textural	textural	ADJ
esrj-39716	66	12	regions	region	NOUN
esrj-39716	66	13	.	.	PUNCT
esrj-39716	67	1	to	to	PART
esrj-39716	67	2	extract	extract	VERB
esrj-39716	67	3	these	these	DET
esrj-39716	67	4	textural	textural	ADJ
esrj-39716	67	5	regions	region	NOUN
esrj-39716	67	6	,	,	PUNCT
esrj-39716	67	7	the	the	DET
esrj-39716	67	8	cutting	cutting	NOUN
esrj-39716	67	9	images	image	NOUN
esrj-39716	67	10	are	be	AUX
esrj-39716	67	11	first	first	ADV
esrj-39716	67	12	mapped	map	VERB
esrj-39716	67	13	onto	onto	ADP
esrj-39716	67	14	a	a	DET
esrj-39716	67	15	common	common	ADJ
esrj-39716	67	16	space	space	NOUN
esrj-39716	67	17	where	where	SCONJ
esrj-39716	67	18	they	they	PRON
esrj-39716	67	19	can	can	AUX
esrj-39716	67	20	be	be	AUX
esrj-39716	67	21	easily	easily	ADV
esrj-39716	67	22	compared	compare	VERB
esrj-39716	67	23	.	.	PUNCT
esrj-39716	68	1	this	this	DET
esrj-39716	68	2	mapping	mapping	NOUN
esrj-39716	68	3	reduces	reduce	VERB
esrj-39716	68	4	the	the	DET
esrj-39716	68	5	dimensionality	dimensionality	NOUN
esrj-39716	68	6	of	of	ADP
esrj-39716	68	7	the	the	DET
esrj-39716	68	8	images	image	NOUN
esrj-39716	68	9	by	by	ADP
esrj-39716	68	10	retaining	retain	VERB
esrj-39716	68	11	only	only	ADV
esrj-39716	68	12	the	the	DET
esrj-39716	68	13	relevant	relevant	ADJ
esrj-39716	68	14	information	information	NOUN
esrj-39716	68	15	.	.	PUNCT
esrj-39716	69	1	a	a	DET
esrj-39716	69	2	two	two	NUM
esrj-39716	69	3	-	-	PUNCT
esrj-39716	69	4	dimensional	dimensional	ADJ
esrj-39716	69	5	(	(	PUNCT
esrj-39716	69	6	2d	2d	NOUN
esrj-39716	69	7	)	)	PUNCT
esrj-39716	69	8	gabor	gabor	PROPN
esrj-39716	69	9	transformation	transformation	NOUN
esrj-39716	69	10	is	be	AUX
esrj-39716	69	11	used	use	VERB
esrj-39716	69	12	to	to	PART
esrj-39716	69	13	map	map	VERB
esrj-39716	69	14	the	the	DET
esrj-39716	69	15	rock	rock	NOUN
esrj-39716	69	16	images	image	NOUN
esrj-39716	69	17	as	as	SCONJ
esrj-39716	69	18	this	this	DET
esrj-39716	69	19	transform	transform	NOUN
esrj-39716	69	20	emphasizes	emphasize	VERB
esrj-39716	69	21	the	the	DET
esrj-39716	69	22	textural	textural	ADJ
esrj-39716	69	23	features	feature	NOUN
esrj-39716	69	24	.	.	PUNCT
esrj-39716	70	1	texture	texture	NOUN
esrj-39716	70	2	plays	play	VERB
esrj-39716	70	3	a	a	DET
esrj-39716	70	4	particularly	particularly	ADV
esrj-39716	70	5	important	important	ADJ
esrj-39716	70	6	role	role	NOUN
esrj-39716	70	7	in	in	ADP
esrj-39716	70	8	the	the	DET
esrj-39716	70	9	composition	composition	NOUN
esrj-39716	70	10	of	of	ADP
esrj-39716	70	11	natural	natural	ADJ
esrj-39716	70	12	images	image	NOUN
esrj-39716	70	13	,	,	PUNCT
esrj-39716	70	14	and	and	CCONJ
esrj-39716	70	15	its	its	PRON
esrj-39716	70	16	analysis	analysis	NOUN
esrj-39716	70	17	and	and	CCONJ
esrj-39716	70	18	classification	classification	NOUN
esrj-39716	70	19	are	be	AUX
esrj-39716	70	20	areas	area	NOUN
esrj-39716	70	21	of	of	ADP
esrj-39716	70	22	continued	continue	VERB
esrj-39716	70	23	research	research	NOUN
esrj-39716	70	24	(	(	PUNCT
esrj-39716	70	25	kachanuban	kachanuban	PROPN
esrj-39716	70	26	&	&	CCONJ
esrj-39716	70	27	udomhunsakul	udomhunsakul	ADJ
esrj-39716	70	28	,	,	PUNCT
esrj-39716	70	29	2007	2007	NUM
esrj-39716	70	30	)	)	PUNCT
esrj-39716	70	31	.	.	PUNCT
esrj-39716	71	1	depth	depth	NOUN
esrj-39716	71	2	classification	classification	NOUN
esrj-39716	71	3	is	be	AUX
esrj-39716	71	4	a	a	DET
esrj-39716	71	5	multi	multi	ADJ
esrj-39716	71	6	-	-	ADJ
esrj-39716	71	7	step	step	ADJ
esrj-39716	71	8	process	process	NOUN
esrj-39716	71	9	.	.	PUNCT
esrj-39716	72	1	in	in	ADP
esrj-39716	72	2	the	the	DET
esrj-39716	72	3	first	first	ADJ
esrj-39716	72	4	stage	stage	NOUN
esrj-39716	72	5	,	,	PUNCT
esrj-39716	72	6	a	a	DET
esrj-39716	72	7	large	large	ADJ
esrj-39716	72	8	database	database	NOUN
esrj-39716	72	9	of	of	ADP
esrj-39716	72	10	rock	rock	NOUN
esrj-39716	72	11	images	image	NOUN
esrj-39716	72	12	is	be	AUX
esrj-39716	72	13	acquired	acquire	VERB
esrj-39716	72	14	from	from	ADP
esrj-39716	72	15	a	a	DET
esrj-39716	72	16	real	real	ADJ
esrj-39716	72	17	wellbore	wellbore	NOUN
esrj-39716	72	18	in	in	ADP
esrj-39716	72	19	a	a	DET
esrj-39716	72	20	colombian	colombian	ADJ
esrj-39716	72	21	basin	basin	NOUN
esrj-39716	72	22	.	.	PUNCT
esrj-39716	73	1	the	the	DET
esrj-39716	73	2	sensed	sense	VERB
esrj-39716	73	3	gray	gray	ADJ
esrj-39716	73	4	-	-	PUNCT
esrj-39716	73	5	scale	scale	NOUN
esrj-39716	73	6	images	image	NOUN
esrj-39716	73	7	are	be	AUX
esrj-39716	73	8	divided	divide	VERB
esrj-39716	73	9	into	into	ADP
esrj-39716	73	10	training	training	NOUN
esrj-39716	73	11	and	and	CCONJ
esrj-39716	73	12	testing	testing	NOUN
esrj-39716	73	13	sets	set	NOUN
esrj-39716	73	14	.	.	PUNCT
esrj-39716	74	1	the	the	DET
esrj-39716	74	2	training	training	NOUN
esrj-39716	74	3	set	set	NOUN
esrj-39716	74	4	is	be	AUX
esrj-39716	74	5	denoted	denote	VERB
esrj-39716	74	6	as	as	ADP
esrj-39716	74	7	c=[c1	c=[c1	PROPN
esrj-39716	74	8	,	,	PUNCT
esrj-39716	74	9	…	…	PUNCT
esrj-39716	74	10	,	,	PUNCT
esrj-39716	74	11	cd	cd	PROPN
esrj-39716	74	12	,	,	PUNCT
esrj-39716	74	13	…	…	PUNCT
esrj-39716	74	14	,	,	PUNCT
esrj-39716	74	15	cd	cd	PROPN
esrj-39716	74	16	]	]	PUNCT
esrj-39716	74	17	,	,	PUNCT
esrj-39716	74	18	and	and	CCONJ
esrj-39716	74	19	the	the	DET
esrj-39716	74	20	testing	testing	NOUN
esrj-39716	74	21	set	set	NOUN
esrj-39716	74	22	is	be	AUX
esrj-39716	74	23	denoted	denote	VERB
esrj-39716	74	24	as	as	ADP
esrj-39716	74	25	x=[xd1	x=[xd1	PROPN
esrj-39716	74	26	,	,	PUNCT
esrj-39716	74	27	…	…	PUNCT
esrj-39716	74	28	,	,	PUNCT
esrj-39716	74	29	xdl	xdl	X
esrj-39716	74	30	]	]	X
esrj-39716	74	31	where	where	SCONJ
esrj-39716	74	32	d	d	NOUN
esrj-39716	74	33	and	and	CCONJ
esrj-39716	74	34	l	l	NOUN
esrj-39716	74	35	indicate	indicate	VERB
esrj-39716	74	36	the	the	DET
esrj-39716	74	37	number	number	NOUN
esrj-39716	74	38	of	of	ADP
esrj-39716	74	39	images	image	NOUN
esrj-39716	74	40	in	in	ADP
esrj-39716	74	41	each	each	DET
esrj-39716	74	42	group	group	NOUN
esrj-39716	74	43	and	and	CCONJ
esrj-39716	74	44	,	,	PUNCT
esrj-39716	74	45	traditionally	traditionally	ADV
esrj-39716	74	46	,	,	PUNCT
esrj-39716	74	47	d	d	ADP
esrj-39716	74	48	»	»	X
esrj-39716	74	49	l.	l.	NOUN
esrj-39716	74	50	the	the	DET
esrj-39716	74	51	images	image	NOUN
esrj-39716	74	52	cd	cd	PROPN
esrj-39716	74	53	and	and	CCONJ
esrj-39716	74	54	xdℓ	xdℓ	NOUN
esrj-39716	74	55	are	be	AUX
esrj-39716	74	56	n	n	PRON
esrj-39716	74	57	m	m	NOUN
esrj-39716	74	58	matrices	matrix	NOUN
esrj-39716	74	59	representing	represent	VERB
esrj-39716	74	60	the	the	DET
esrj-39716	74	61	dth	dth	ADJ
esrj-39716	74	62	training	training	NOUN
esrj-39716	74	63	and	and	CCONJ
esrj-39716	74	64	testing	testing	NOUN
esrj-39716	74	65	images	image	NOUN
esrj-39716	74	66	,	,	PUNCT
esrj-39716	74	67	respectively	respectively	ADV
esrj-39716	74	68	.	.	PUNCT
esrj-39716	75	1	figure	figure	NOUN
esrj-39716	75	2	1	1	NUM
esrj-39716	75	3	shows	show	VERB
esrj-39716	75	4	the	the	DET
esrj-39716	75	5	representation	representation	NOUN
esrj-39716	75	6	of	of	ADP
esrj-39716	75	7	the	the	DET
esrj-39716	75	8	data	data	NOUN
esrj-39716	75	9	sets	set	NOUN
esrj-39716	75	10	.	.	PUNCT
esrj-39716	76	1	the	the	DET
esrj-39716	76	2	rock	rock	NOUN
esrj-39716	76	3	images	image	NOUN
esrj-39716	76	4	in	in	ADP
esrj-39716	76	5	the	the	DET
esrj-39716	76	6	training	training	NOUN
esrj-39716	76	7	set	set	NOUN
esrj-39716	76	8	belong	belong	VERB
esrj-39716	76	9	to	to	ADP
esrj-39716	76	10	rocks	rock	NOUN
esrj-39716	76	11	that	that	PRON
esrj-39716	76	12	have	have	VERB
esrj-39716	76	13	a	a	DET
esrj-39716	76	14	known	know	VERB
esrj-39716	76	15	depth	depth	NOUN
esrj-39716	76	16	d	d	NOUN
esrj-39716	76	17	,	,	PUNCT
esrj-39716	76	18	and	and	CCONJ
esrj-39716	76	19	therefore	therefore	ADV
esrj-39716	76	20	,	,	PUNCT
esrj-39716	76	21	they	they	PRON
esrj-39716	76	22	are	be	AUX
esrj-39716	76	23	called	call	VERB
esrj-39716	76	24	cuttings	cutting	NOUN
esrj-39716	76	25	.	.	PUNCT
esrj-39716	77	1	conversely	conversely	ADV
esrj-39716	77	2	,	,	PUNCT
esrj-39716	77	3	images	image	NOUN
esrj-39716	77	4	in	in	ADP
esrj-39716	77	5	the	the	DET
esrj-39716	77	6	testing	testing	NOUN
esrj-39716	77	7	set	set	VERB
esrj-39716	77	8	belong	belong	VERB
esrj-39716	77	9	to	to	ADP
esrj-39716	77	10	regions	region	NOUN
esrj-39716	77	11	of	of	ADP
esrj-39716	77	12	caving	caving	NOUN
esrj-39716	77	13	,	,	PUNCT
esrj-39716	77	14	whose	whose	DET
esrj-39716	77	15	depth	depth	NOUN
esrj-39716	77	16	d	d	NOUN
esrj-39716	77	17	must	must	AUX
esrj-39716	77	18	be	be	AUX
esrj-39716	77	19	estimated	estimate	VERB
esrj-39716	77	20	.	.	PUNCT
esrj-39716	78	1	each	each	DET
esrj-39716	78	2	image	image	NOUN
esrj-39716	78	3	cd	cd	PROPN
esrj-39716	78	4	and	and	CCONJ
esrj-39716	78	5	xdℓ	xdℓ	NOUN
esrj-39716	78	6	is	be	AUX
esrj-39716	78	7	again	again	ADV
esrj-39716	78	8	divided	divide	VERB
esrj-39716	78	9	into	into	ADP
esrj-39716	78	10	h	h	PROPN
esrj-39716	78	11	non	non	ADJ
esrj-39716	78	12	-	-	ADJ
esrj-39716	78	13	overlapping	overlap	VERB
esrj-39716	78	14	p	p	ADJ
esrj-39716	78	15	p	p	PROPN
esrj-39716	78	16	subimages	subimage	NOUN
esrj-39716	78	17	to	to	PART
esrj-39716	78	18	work	work	VERB
esrj-39716	78	19	with	with	ADP
esrj-39716	78	20	small	small	ADJ
esrj-39716	78	21	image	image	NOUN
esrj-39716	78	22	sections	section	NOUN
esrj-39716	78	23	and	and	CCONJ
esrj-39716	78	24	non	non	ADJ
esrj-39716	78	25	-	-	ADJ
esrj-39716	78	26	repeated	repeat	VERB
esrj-39716	78	27	information	information	NOUN
esrj-39716	78	28	.	.	PUNCT
esrj-39716	79	1	the	the	DET
esrj-39716	79	2	next	next	ADJ
esrj-39716	79	3	step	step	NOUN
esrj-39716	79	4	involves	involve	VERB
esrj-39716	79	5	the	the	DET
esrj-39716	79	6	extraction	extraction	NOUN
esrj-39716	79	7	of	of	ADP
esrj-39716	79	8	the	the	DET
esrj-39716	79	9	textural	textural	ADJ
esrj-39716	79	10	features	feature	NOUN
esrj-39716	79	11	from	from	ADP
esrj-39716	79	12	the	the	DET
esrj-39716	79	13	training	training	NOUN
esrj-39716	79	14	and	and	CCONJ
esrj-39716	79	15	test	test	NOUN
esrj-39716	79	16	subsets	subset	NOUN
esrj-39716	79	17	.	.	PUNCT
esrj-39716	80	1	the	the	DET
esrj-39716	80	2	selected	select	VERB
esrj-39716	80	3	method	method	NOUN
esrj-39716	80	4	of	of	ADP
esrj-39716	80	5	texture	texture	ADJ
esrj-39716	80	6	analysis	analysis	NOUN
esrj-39716	80	7	for	for	ADP
esrj-39716	80	8	feature	feature	NOUN
esrj-39716	80	9	extraction	extraction	NOUN
esrj-39716	80	10	is	be	AUX
esrj-39716	80	11	critical	critical	ADJ
esrj-39716	80	12	to	to	ADP
esrj-39716	80	13	the	the	DET
esrj-39716	80	14	success	success	NOUN
esrj-39716	80	15	of	of	ADP
esrj-39716	80	16	the	the	DET
esrj-39716	80	17	texture	texture	NOUN
esrj-39716	80	18	classification	classification	NOUN
esrj-39716	80	19	.	.	PUNCT
esrj-39716	81	1	a	a	DET
esrj-39716	81	2	multichannel	multichannel	PROPN
esrj-39716	81	3	gabor	gabor	PROPN
esrj-39716	81	4	function	function	NOUN
esrj-39716	81	5	is	be	AUX
esrj-39716	81	6	used	use	VERB
esrj-39716	81	7	for	for	ADP
esrj-39716	81	8	the	the	DET
esrj-39716	81	9	feature	feature	NOUN
esrj-39716	81	10	extraction	extraction	NOUN
esrj-39716	81	11	.	.	PUNCT
esrj-39716	82	1	this	this	DET
esrj-39716	82	2	function	function	NOUN
esrj-39716	82	3	has	have	AUX
esrj-39716	82	4	been	be	AUX
esrj-39716	82	5	recognized	recognize	VERB
esrj-39716	82	6	as	as	ADP
esrj-39716	82	7	a	a	DET
esrj-39716	82	8	very	very	ADV
esrj-39716	82	9	useful	useful	ADJ
esrj-39716	82	10	tool	tool	NOUN
esrj-39716	82	11	in	in	ADP
esrj-39716	82	12	computer	computer	NOUN
esrj-39716	82	13	vision	vision	NOUN
esrj-39716	82	14	and	and	CCONJ
esrj-39716	82	15	image	image	NOUN
esrj-39716	82	16	processing	processing	NOUN
esrj-39716	82	17	,	,	PUNCT
esrj-39716	82	18	especially	especially	ADV
esrj-39716	82	19	for	for	ADP
esrj-39716	82	20	texture	texture	ADJ
esrj-39716	82	21	analysis	analysis	NOUN
esrj-39716	82	22	(	(	PUNCT
esrj-39716	82	23	shen	shen	PROPN
esrj-39716	82	24	,	,	PUNCT
esrj-39716	82	25	jia	jia	PROPN
esrj-39716	82	26	,	,	PUNCT
esrj-39716	82	27	&	&	CCONJ
esrj-39716	82	28	chen	chen	PROPN
esrj-39716	82	29	,	,	PUNCT
esrj-39716	82	30	2011	2011	NUM
esrj-39716	82	31	)	)	PUNCT
esrj-39716	82	32	(	(	PUNCT
esrj-39716	82	33	clausi	clausi	PROPN
esrj-39716	82	34	&	&	CCONJ
esrj-39716	82	35	jernigan	jernigan	PROPN
esrj-39716	82	36	,	,	PUNCT
esrj-39716	82	37	2000	2000	NUM
esrj-39716	82	38	)	)	PUNCT
esrj-39716	82	39	.	.	PUNCT
esrj-39716	83	1	the	the	DET
esrj-39716	83	2	gabor	gabor	PROPN
esrj-39716	83	3	transformation	transformation	NOUN
esrj-39716	83	4	provides	provide	VERB
esrj-39716	83	5	a	a	DET
esrj-39716	83	6	multi	multi	ADJ
esrj-39716	83	7	-	-	NOUN
esrj-39716	83	8	scale	scale	ADJ
esrj-39716	83	9	and	and	CCONJ
esrj-39716	83	10	multi	multi	ADJ
esrj-39716	83	11	-	-	ADJ
esrj-39716	83	12	orientation	orientation	ADJ
esrj-39716	83	13	representation	representation	NOUN
esrj-39716	83	14	of	of	ADP
esrj-39716	83	15	the	the	DET
esrj-39716	83	16	underlying	underlie	VERB
esrj-39716	83	17	images	image	NOUN
esrj-39716	83	18	(	(	PUNCT
esrj-39716	83	19	clausi	clausi	NOUN
esrj-39716	83	20	&	&	CCONJ
esrj-39716	83	21	jernigan	jernigan	PROPN
esrj-39716	83	22	,	,	PUNCT
esrj-39716	83	23	2000	2000	NUM
esrj-39716	83	24	)	)	PUNCT
esrj-39716	83	25	.	.	PUNCT
esrj-39716	84	1	the	the	DET
esrj-39716	84	2	features	feature	NOUN
esrj-39716	84	3	are	be	AUX
esrj-39716	84	4	extracted	extract	VERB
esrj-39716	84	5	from	from	ADP
esrj-39716	84	6	the	the	DET
esrj-39716	84	7	gabor	gabor	NOUN
esrj-39716	84	8	transformations	transformation	NOUN
esrj-39716	84	9	and	and	CCONJ
esrj-39716	84	10	through	through	ADP
esrj-39716	84	11	the	the	DET
esrj-39716	84	12	co	co	NOUN
esrj-39716	84	13	-	-	NOUN
esrj-39716	84	14	occurrence	occurrence	ADJ
esrj-39716	84	15	matrix	matrix	NOUN
esrj-39716	84	16	(	(	PUNCT
esrj-39716	84	17	marana	marana	PROPN
esrj-39716	84	18	,	,	PUNCT
esrj-39716	84	19	et	et	PROPN
esrj-39716	84	20	al	al	PROPN
esrj-39716	84	21	.	.	PROPN
esrj-39716	84	22	,	,	PUNCT
esrj-39716	84	23	2009	2009	NUM
esrj-39716	84	24	)	)	PUNCT
esrj-39716	84	25	(	(	PUNCT
esrj-39716	84	26	tou	tou	PROPN
esrj-39716	84	27	,	,	PUNCT
esrj-39716	84	28	tay	tay	PROPN
esrj-39716	84	29	,	,	PUNCT
esrj-39716	84	30	&	&	CCONJ
esrj-39716	84	31	lau	lau	PROPN
esrj-39716	84	32	,	,	PUNCT
esrj-39716	84	33	2009	2009	NUM
esrj-39716	84	34	)	)	PUNCT
esrj-39716	84	35	.	.	PUNCT
esrj-39716	85	1	the	the	DET
esrj-39716	85	2	set	set	NOUN
esrj-39716	85	3	of	of	ADP
esrj-39716	85	4	features	feature	NOUN
esrj-39716	85	5	is	be	AUX
esrj-39716	85	6	represented	represent	VERB
esrj-39716	85	7	as	as	ADP
esrj-39716	85	8	a	a	DET
esrj-39716	85	9	matrix	matrix	NOUN
esrj-39716	85	10	of	of	ADP
esrj-39716	85	11	features	feature	NOUN
esrj-39716	85	12	fc	fc	PROPN
esrj-39716	85	13	for	for	ADP
esrj-39716	85	14	the	the	DET
esrj-39716	85	15	training	training	NOUN
esrj-39716	85	16	set	set	NOUN
esrj-39716	85	17	and	and	CCONJ
esrj-39716	85	18	fx	fx	NOUN
esrj-39716	85	19	for	for	ADP
esrj-39716	85	20	the	the	DET
esrj-39716	85	21	test	test	NOUN
esrj-39716	85	22	set	set	VERB
esrj-39716	85	23	.	.	PUNCT
esrj-39716	86	1	specifically	specifically	ADV
esrj-39716	86	2	,	,	PUNCT
esrj-39716	86	3	the	the	DET
esrj-39716	86	4	κ	κ	ADV
esrj-39716	86	5	-	-	PUNCT
esrj-39716	86	6	extracted	extract	VERB
esrj-39716	86	7	features	feature	NOUN
esrj-39716	86	8	correspond	correspond	VERB
esrj-39716	86	9	to	to	ADP
esrj-39716	86	10	the	the	DET
esrj-39716	86	11	mean	mean	PROPN
esrj-39716	86	12	µ	µ	NOUN
esrj-39716	86	13	,	,	PUNCT
esrj-39716	86	14	the	the	DET
esrj-39716	86	15	standard	standard	ADJ
esrj-39716	86	16	deviation	deviation	NOUN
esrj-39716	86	17	σ	σ	NOUN
esrj-39716	86	18	,	,	PUNCT
esrj-39716	86	19	the	the	DET
esrj-39716	86	20	contrast	contrast	NOUN
esrj-39716	86	21	α	α	NOUN
esrj-39716	86	22	,	,	PUNCT
esrj-39716	86	23	the	the	DET
esrj-39716	86	24	homogeneity	homogeneity	NOUN
esrj-39716	86	25	ß	ß	NOUN
esrj-39716	86	26	,	,	PUNCT
esrj-39716	86	27	the	the	DET
esrj-39716	86	28	energy	energy	NOUN
esrj-39716	86	29	ɣ	ɣ	PROPN
esrj-39716	86	30	,	,	PUNCT
esrj-39716	86	31	and	and	CCONJ
esrj-39716	86	32	the	the	DET
esrj-39716	86	33	correlation	correlation	NOUN
esrj-39716	86	34	ρ	ρ	PROPN
esrj-39716	86	35	.	.	PUNCT
esrj-39716	86	36	figure	figure	NOUN
esrj-39716	86	37	1	1	NUM
esrj-39716	86	38	.	.	PUNCT
esrj-39716	86	39	data	datum	NOUN
esrj-39716	86	40	representation	representation	NOUN
esrj-39716	86	41	in	in	ADP
esrj-39716	86	42	the	the	DET
esrj-39716	86	43	model	model	NOUN
esrj-39716	86	44	.	.	PUNCT
esrj-39716	87	1	there	there	PRON
esrj-39716	87	2	are	be	VERB
esrj-39716	87	3	two	two	NUM
esrj-39716	87	4	sets	set	NOUN
esrj-39716	87	5	of	of	ADP
esrj-39716	87	6	images	image	NOUN
esrj-39716	87	7	;	;	PUNCT
esrj-39716	87	8	each	each	DET
esrj-39716	87	9	image	image	NOUN
esrj-39716	87	10	in	in	ADP
esrj-39716	87	11	a	a	DET
esrj-39716	87	12	set	set	NOUN
esrj-39716	87	13	is	be	AUX
esrj-39716	87	14	divided	divide	VERB
esrj-39716	87	15	in	in	ADP
esrj-39716	87	16	subimages	subimage	NOUN
esrj-39716	87	17	,	,	PUNCT
esrj-39716	87	18	and	and	CCONJ
esrj-39716	87	19	then	then	ADV
esrj-39716	87	20	,	,	PUNCT
esrj-39716	87	21	the	the	DET
esrj-39716	87	22	gabor	gabor	NOUN
esrj-39716	87	23	transformations	transformation	NOUN
esrj-39716	87	24	are	be	AUX
esrj-39716	87	25	obtained	obtain	VERB
esrj-39716	87	26	.	.	PUNCT
esrj-39716	88	1	in	in	ADP
esrj-39716	88	2	the	the	DET
esrj-39716	88	3	classification	classification	NOUN
esrj-39716	88	4	stage	stage	NOUN
esrj-39716	88	5	,	,	PUNCT
esrj-39716	88	6	a	a	DET
esrj-39716	88	7	multiclass	multiclass	ADJ
esrj-39716	88	8	approach	approach	NOUN
esrj-39716	88	9	is	be	AUX
esrj-39716	88	10	applied	apply	VERB
esrj-39716	88	11	.	.	PUNCT
esrj-39716	89	1	in	in	ADP
esrj-39716	89	2	this	this	DET
esrj-39716	89	3	approach	approach	NOUN
esrj-39716	89	4	,	,	PUNCT
esrj-39716	89	5	a	a	DET
esrj-39716	89	6	number	number	NOUN
esrj-39716	89	7	of	of	ADP
esrj-39716	89	8	binary	binary	ADJ
esrj-39716	89	9	classifiers	classifier	NOUN
esrj-39716	89	10	is	be	AUX
esrj-39716	89	11	developed	develop	VERB
esrj-39716	89	12	with	with	ADP
esrj-39716	89	13	the	the	DET
esrj-39716	89	14	set	set	NOUN
esrj-39716	89	15	of	of	ADP
esrj-39716	89	16	image	image	NOUN
esrj-39716	89	17	features	feature	NOUN
esrj-39716	89	18	in	in	ADP
esrj-39716	89	19	the	the	DET
esrj-39716	89	20	training	training	NOUN
esrj-39716	89	21	set	set	VERB
esrj-39716	89	22	fc	fc	PROPN
esrj-39716	89	23	.	.	PUNCT
esrj-39716	90	1	then	then	ADV
esrj-39716	90	2	,	,	PUNCT
esrj-39716	90	3	given	give	VERB
esrj-39716	90	4	a	a	DET
esrj-39716	90	5	caving	cave	VERB
esrj-39716	90	6	image	image	NOUN
esrj-39716	90	7	from	from	ADP
esrj-39716	90	8	the	the	DET
esrj-39716	90	9	test	test	NOUN
esrj-39716	90	10	set	set	NOUN
esrj-39716	90	11	,	,	PUNCT
esrj-39716	90	12	its	its	PRON
esrj-39716	90	13	set	set	NOUN
esrj-39716	90	14	of	of	ADP
esrj-39716	90	15	features	feature	NOUN
esrj-39716	90	16	fx	fx	PROPN
esrj-39716	90	17	is	be	AUX
esrj-39716	90	18	used	use	VERB
esrj-39716	90	19	to	to	PART
esrj-39716	90	20	test	test	VERB
esrj-39716	90	21	the	the	DET
esrj-39716	90	22	classifier	classifier	NOUN
esrj-39716	90	23	.	.	PUNCT
esrj-39716	91	1	to	to	PART
esrj-39716	91	2	make	make	VERB
esrj-39716	91	3	the	the	DET
esrj-39716	91	4	decision	decision	NOUN
esrj-39716	91	5	about	about	ADP
esrj-39716	91	6	the	the	DET
esrj-39716	91	7	class	class	NOUN
esrj-39716	91	8	or	or	CCONJ
esrj-39716	91	9	depth	depth	NOUN
esrj-39716	91	10	to	to	PART
esrj-39716	91	11	which	which	PRON
esrj-39716	91	12	the	the	DET
esrj-39716	91	13	caving	caving	NOUN
esrj-39716	91	14	belongs	belong	VERB
esrj-39716	91	15	,	,	PUNCT
esrj-39716	91	16	the	the	DET
esrj-39716	91	17	classifier	classifier	NOUN
esrj-39716	91	18	uses	use	VERB
esrj-39716	91	19	two	two	NUM
esrj-39716	91	20	methods	method	NOUN
esrj-39716	91	21	:	:	PUNCT
esrj-39716	91	22	one	one	NUM
esrj-39716	91	23	method	method	NOUN
esrj-39716	91	24	based	base	VERB
esrj-39716	91	25	on	on	ADP
esrj-39716	91	26	rules	rule	NOUN
esrj-39716	91	27	that	that	PRON
esrj-39716	91	28	make	make	VERB
esrj-39716	91	29	the	the	DET
esrj-39716	91	30	decision	decision	NOUN
esrj-39716	91	31	using	use	VERB
esrj-39716	91	32	a	a	DET
esrj-39716	91	33	hard	hard	ADJ
esrj-39716	91	34	thresholding	thresholde	VERB
esrj-39716	91	35	approach	approach	NOUN
esrj-39716	91	36	and	and	CCONJ
esrj-39716	91	37	another	another	DET
esrj-39716	91	38	method	method	NOUN
esrj-39716	91	39	based	base	VERB
esrj-39716	91	40	on	on	ADP
esrj-39716	91	41	the	the	DET
esrj-39716	91	42	ℓ2	ℓ2	NOUN
esrj-39716	91	43	-	-	PUNCT
esrj-39716	91	44	norm	norm	NOUN
esrj-39716	91	45	.	.	PUNCT
esrj-39716	92	1	the	the	DET
esrj-39716	92	2	number	number	NOUN
esrj-39716	92	3	of	of	ADP
esrj-39716	92	4	binary	binary	ADJ
esrj-39716	92	5	classifiers	classifier	NOUN
esrj-39716	92	6	depends	depend	VERB
esrj-39716	92	7	on	on	ADP
esrj-39716	92	8	the	the	DET
esrj-39716	92	9	number	number	NOUN
esrj-39716	92	10	of	of	ADP
esrj-39716	92	11	classes	class	NOUN
esrj-39716	92	12	or	or	CCONJ
esrj-39716	92	13	,	,	PUNCT
esrj-39716	92	14	in	in	ADP
esrj-39716	92	15	this	this	DET
esrj-39716	92	16	case	case	NOUN
esrj-39716	92	17	,	,	PUNCT
esrj-39716	92	18	the	the	DET
esrj-39716	92	19	number	number	NOUN
esrj-39716	92	20	of	of	ADP
esrj-39716	92	21	known	know	VERB
esrj-39716	92	22	depths	depth	NOUN
esrj-39716	92	23	d.	d.	PROPN
esrj-39716	92	24	the	the	DET
esrj-39716	92	25	mathematical	mathematical	ADJ
esrj-39716	92	26	model	model	NOUN
esrj-39716	92	27	for	for	ADP
esrj-39716	92	28	classification	classification	NOUN
esrj-39716	92	29	and	and	CCONJ
esrj-39716	92	30	the	the	DET
esrj-39716	92	31	approaches	approach	NOUN
esrj-39716	92	32	presented	present	VERB
esrj-39716	92	33	here	here	ADV
esrj-39716	92	34	correctly	correctly	ADV
esrj-39716	92	35	classify	classify	VERB
esrj-39716	92	36	depths	depth	NOUN
esrj-39716	92	37	up	up	ADP
esrj-39716	92	38	to	to	PART
esrj-39716	92	39	91	91	NUM
esrj-39716	92	40	%	%	NOUN
esrj-39716	92	41	of	of	ADP
esrj-39716	92	42	the	the	DET
esrj-39716	92	43	time	time	NOUN
esrj-39716	92	44	.	.	PUNCT
esrj-39716	93	1	the	the	DET
esrj-39716	93	2	paper	paper	NOUN
esrj-39716	93	3	is	be	AUX
esrj-39716	93	4	organized	organize	VERB
esrj-39716	93	5	as	as	SCONJ
esrj-39716	93	6	follows	follow	VERB
esrj-39716	93	7	.	.	PUNCT
esrj-39716	94	1	section	section	NOUN
esrj-39716	94	2	2	2	NUM
esrj-39716	94	3	describes	describe	VERB
esrj-39716	94	4	the	the	DET
esrj-39716	94	5	data	datum	NOUN
esrj-39716	94	6	and	and	CCONJ
esrj-39716	94	7	process	process	NOUN
esrj-39716	94	8	methodology	methodology	NOUN
esrj-39716	94	9	,	,	PUNCT
esrj-39716	94	10	including	include	VERB
esrj-39716	94	11	the	the	DET
esrj-39716	94	12	division	division	NOUN
esrj-39716	94	13	of	of	ADP
esrj-39716	94	14	the	the	DET
esrj-39716	94	15	data	datum	NOUN
esrj-39716	94	16	,	,	PUNCT
esrj-39716	94	17	the	the	DET
esrj-39716	94	18	feature	feature	NOUN
esrj-39716	94	19	extraction	extraction	NOUN
esrj-39716	94	20	step	step	NOUN
esrj-39716	94	21	,	,	PUNCT
esrj-39716	94	22	the	the	DET
esrj-39716	94	23	gabor	gabor	PROPN
esrj-39716	94	24	transformation	transformation	NOUN
esrj-39716	94	25	used	use	VERB
esrj-39716	94	26	,	,	PUNCT
esrj-39716	94	27	and	and	CCONJ
esrj-39716	94	28	the	the	DET
esrj-39716	94	29	classification	classification	NOUN
esrj-39716	94	30	.	.	PUNCT
esrj-39716	95	1	section	section	NOUN
esrj-39716	95	2	3	3	NUM
esrj-39716	95	3	presents	present	VERB
esrj-39716	95	4	the	the	DET
esrj-39716	95	5	experimental	experimental	ADJ
esrj-39716	95	6	setup	setup	NOUN
esrj-39716	95	7	.	.	PUNCT
esrj-39716	96	1	section	section	NOUN
esrj-39716	96	2	4	4	NUM
esrj-39716	96	3	presents	present	VERB
esrj-39716	96	4	the	the	DET
esrj-39716	96	5	results	result	NOUN
esrj-39716	96	6	of	of	ADP
esrj-39716	96	7	the	the	DET
esrj-39716	96	8	simulations	simulation	NOUN
esrj-39716	96	9	using	use	VERB
esrj-39716	96	10	data	datum	NOUN
esrj-39716	96	11	from	from	ADP
esrj-39716	96	12	a	a	DET
esrj-39716	96	13	real	real	ADJ
esrj-39716	96	14	wellbore	wellbore	NOUN
esrj-39716	96	15	in	in	ADP
esrj-39716	96	16	a	a	DET
esrj-39716	96	17	colombian	colombian	ADJ
esrj-39716	96	18	basin	basin	NOUN
esrj-39716	96	19	.	.	PUNCT
esrj-39716	97	1	159caving	159caving	NOUN
esrj-39716	97	2	depth	depth	NOUN
esrj-39716	97	3	classification	classification	NOUN
esrj-39716	97	4	by	by	ADP
esrj-39716	97	5	feature	feature	NOUN
esrj-39716	97	6	extraction	extraction	NOUN
esrj-39716	97	7	in	in	ADP
esrj-39716	97	8	cuttings	cutting	NOUN
esrj-39716	97	9	images	image	VERB
esrj-39716	97	10	2	2	NUM
esrj-39716	97	11	.	.	PUNCT
esrj-39716	97	12	data	datum	NOUN
esrj-39716	97	13	and	and	CCONJ
esrj-39716	97	14	methodology	methodology	NOUN
esrj-39716	97	15	let	let	VERB
esrj-39716	97	16	cd	cd	PROPN
esrj-39716	97	17	and	and	CCONJ
esrj-39716	97	18	xdℓ	xdℓ	PROPN
esrj-39716	97	19	be	be	AUX
esrj-39716	97	20	n	n	PRON
esrj-39716	97	21	m	m	NOUN
esrj-39716	97	22	matrices	matrix	NOUN
esrj-39716	97	23	representing	represent	VERB
esrj-39716	97	24	cutting	cut	VERB
esrj-39716	97	25	and	and	CCONJ
esrj-39716	97	26	caving	cave	VERB
esrj-39716	97	27	images	image	NOUN
esrj-39716	97	28	,	,	PUNCT
esrj-39716	97	29	where	where	SCONJ
esrj-39716	97	30	d	d	NOUN
esrj-39716	97	31	and	and	CCONJ
esrj-39716	97	32	dℓ	dℓ	PROPN
esrj-39716	97	33	represent	represent	VERB
esrj-39716	97	34	the	the	DET
esrj-39716	97	35	image	image	NOUN
esrj-39716	97	36	depth	depth	NOUN
esrj-39716	97	37	,	,	PUNCT
esrj-39716	97	38	and	and	CCONJ
esrj-39716	97	39	let	let	VERB
esrj-39716	97	40	c	c	NOUN
esrj-39716	97	41	and	and	CCONJ
esrj-39716	97	42	x	x	AUX
esrj-39716	97	43	be	be	AUX
esrj-39716	97	44	the	the	DET
esrj-39716	97	45	ensemble	ensemble	ADJ
esrj-39716	97	46	of	of	ADP
esrj-39716	97	47	images	image	NOUN
esrj-39716	97	48	cd	cd	PROPN
esrj-39716	97	49	and	and	CCONJ
esrj-39716	97	50	xdℓ	xdℓ	PROPN
esrj-39716	97	51	,	,	PUNCT
esrj-39716	97	52	respectively	respectively	ADV
esrj-39716	97	53	.	.	PUNCT
esrj-39716	98	1	thus	thus	ADV
esrj-39716	98	2	,	,	PUNCT
esrj-39716	98	3	c=[c1	c=[c1	PROPN
esrj-39716	98	4	,	,	PUNCT
esrj-39716	98	5	…	…	PUNCT
esrj-39716	98	6	,	,	PUNCT
esrj-39716	98	7	cd	cd	PROPN
esrj-39716	98	8	,	,	PUNCT
esrj-39716	98	9	…	…	PUNCT
esrj-39716	98	10	,	,	PUNCT
esrj-39716	98	11	cd	cd	PROPN
esrj-39716	98	12	]	]	PUNCT
esrj-39716	98	13	and	and	CCONJ
esrj-39716	98	14	x=[xd1	x=[xd1	PROPN
esrj-39716	98	15	,	,	PUNCT
esrj-39716	98	16	…	…	PUNCT
esrj-39716	98	17	,	,	PUNCT
esrj-39716	98	18	xdℓ	xdℓ	PROPN
esrj-39716	98	19	,	,	PUNCT
esrj-39716	98	20	…	…	PUNCT
esrj-39716	98	21	,	,	PUNCT
esrj-39716	98	22	xdl	xdl	PROPN
esrj-39716	98	23	]	]	PUNCT
esrj-39716	98	24	.	.	PUNCT
esrj-39716	99	1	note	note	VERB
esrj-39716	99	2	that	that	SCONJ
esrj-39716	99	3	c	c	NOUN
esrj-39716	99	4	represents	represent	VERB
esrj-39716	99	5	the	the	DET
esrj-39716	99	6	training	training	NOUN
esrj-39716	99	7	image	image	NOUN
esrj-39716	99	8	set	set	NOUN
esrj-39716	99	9	,	,	PUNCT
esrj-39716	99	10	x	x	PRON
esrj-39716	99	11	represents	represent	VERB
esrj-39716	99	12	the	the	DET
esrj-39716	99	13	test	test	NOUN
esrj-39716	99	14	image	image	NOUN
esrj-39716	99	15	set	set	NOUN
esrj-39716	99	16	,	,	PUNCT
esrj-39716	99	17	and	and	CCONJ
esrj-39716	99	18	d	d	NOUN
esrj-39716	99	19	is	be	AUX
esrj-39716	99	20	the	the	DET
esrj-39716	99	21	number	number	NOUN
esrj-39716	99	22	of	of	ADP
esrj-39716	99	23	depths	depth	NOUN
esrj-39716	99	24	.	.	PUNCT
esrj-39716	100	1	these	these	DET
esrj-39716	100	2	values	value	NOUN
esrj-39716	100	3	are	be	AUX
esrj-39716	100	4	associated	associate	VERB
esrj-39716	100	5	with	with	ADP
esrj-39716	100	6	the	the	DET
esrj-39716	100	7	number	number	NOUN
esrj-39716	100	8	of	of	ADP
esrj-39716	100	9	classes	class	NOUN
esrj-39716	100	10	in	in	ADP
esrj-39716	100	11	the	the	DET
esrj-39716	100	12	system	system	NOUN
esrj-39716	100	13	.	.	PUNCT
esrj-39716	101	1	note	note	VERB
esrj-39716	101	2	also	also	ADV
esrj-39716	101	3	that	that	SCONJ
esrj-39716	101	4	c1	c1	PROPN
esrj-39716	101	5	is	be	AUX
esrj-39716	101	6	the	the	DET
esrj-39716	101	7	image	image	NOUN
esrj-39716	101	8	from	from	ADP
esrj-39716	101	9	the	the	DET
esrj-39716	101	10	first	first	ADJ
esrj-39716	101	11	depth	depth	NOUN
esrj-39716	101	12	and	and	CCONJ
esrj-39716	101	13	that	that	DET
esrj-39716	101	14	cd	cd	PROPN
esrj-39716	101	15	is	be	AUX
esrj-39716	101	16	the	the	DET
esrj-39716	101	17	image	image	NOUN
esrj-39716	101	18	from	from	ADP
esrj-39716	101	19	the	the	DET
esrj-39716	101	20	depth	depth	NOUN
esrj-39716	101	21	d.	d.	NOUN
esrj-39716	101	22	the	the	DET
esrj-39716	101	23	images	image	NOUN
esrj-39716	101	24	cd	cd	PROPN
esrj-39716	101	25	and	and	CCONJ
esrj-39716	101	26	xdℓ	xdℓ	NOUN
esrj-39716	101	27	are	be	AUX
esrj-39716	101	28	divided	divide	VERB
esrj-39716	101	29	into	into	ADP
esrj-39716	101	30	h	h	PROPN
esrj-39716	101	31	non	non	ADJ
esrj-39716	101	32	-	-	ADJ
esrj-39716	101	33	overlapping	overlapping	ADJ
esrj-39716	101	34	p×p	p×p	PROPN
esrj-39716	101	35	subimages	subimage	NOUN
esrj-39716	101	36	,	,	PUNCT
esrj-39716	101	37	such	such	ADJ
esrj-39716	101	38	that	that	SCONJ
esrj-39716	101	39	h={h1}{h2	h={h1}{h2	NOUN
esrj-39716	101	40	}	}	PUNCT
esrj-39716	101	41	,	,	PUNCT
esrj-39716	101	42	where	where	SCONJ
esrj-39716	101	43	h1=[n	h1=[n	ADJ
esrj-39716	101	44	/	/	SYM
esrj-39716	101	45	p	p	X
esrj-39716	101	46	]	]	X
esrj-39716	101	47	and	and	CCONJ
esrj-39716	101	48	h2=[m	h2=[m	PROPN
esrj-39716	101	49	/	/	SYM
esrj-39716	101	50	p	p	NOUN
esrj-39716	101	51	]	]	X
esrj-39716	101	52	.	.	PUNCT
esrj-39716	102	1	the	the	DET
esrj-39716	102	2	jth	jth	PROPN
esrj-39716	102	3	subimage	subimage	NOUN
esrj-39716	102	4	of	of	ADP
esrj-39716	102	5	cd	cd	PROPN
esrj-39716	102	6	is	be	AUX
esrj-39716	102	7	denoted	denote	VERB
esrj-39716	102	8	by	by	ADP
esrj-39716	102	9	cdj	cdj	PROPN
esrj-39716	102	10	,	,	PUNCT
esrj-39716	102	11	and	and	CCONJ
esrj-39716	102	12	the	the	DET
esrj-39716	102	13	jth	jth	PROPN
esrj-39716	102	14	subimage	subimage	NOUN
esrj-39716	102	15	of	of	ADP
esrj-39716	102	16	xdℓ	xdℓ	PROPN
esrj-39716	102	17	is	be	AUX
esrj-39716	102	18	denoted	denote	VERB
esrj-39716	102	19	by	by	ADP
esrj-39716	102	20	xdℓj	xdℓj	PROPN
esrj-39716	102	21	.	.	PUNCT
esrj-39716	103	1	the	the	DET
esrj-39716	103	2	image	image	NOUN
esrj-39716	103	3	cd	cd	NOUN
esrj-39716	103	4	can	can	AUX
esrj-39716	103	5	be	be	AUX
esrj-39716	103	6	expressed	express	VERB
esrj-39716	103	7	as	as	ADP
esrj-39716	103	8	a	a	DET
esrj-39716	103	9	function	function	NOUN
esrj-39716	103	10	of	of	ADP
esrj-39716	103	11	its	its	PRON
esrj-39716	103	12	subimages	subimage	NOUN
esrj-39716	103	13	:	:	PUNCT
esrj-39716	103	14	cd=[cd1	cd=[cd1	NOUN
esrj-39716	103	15	,	,	PUNCT
esrj-39716	103	16	cd2	cd2	PROPN
esrj-39716	103	17	,	,	PUNCT
esrj-39716	103	18	…	…	PUNCT
esrj-39716	103	19	,	,	PUNCT
esrj-39716	103	20	cdh	cdh	PROPN
esrj-39716	103	21	]	]	PUNCT
esrj-39716	103	22	.	.	PUNCT
esrj-39716	104	1	similarly	similarly	ADV
esrj-39716	104	2	,	,	PUNCT
esrj-39716	104	3	the	the	DET
esrj-39716	104	4	image	image	NOUN
esrj-39716	104	5	xdℓ	xdℓ	NOUN
esrj-39716	104	6	can	can	AUX
esrj-39716	104	7	be	be	AUX
esrj-39716	104	8	expressed	express	VERB
esrj-39716	104	9	as	as	ADP
esrj-39716	104	10	a	a	DET
esrj-39716	104	11	function	function	NOUN
esrj-39716	104	12	of	of	ADP
esrj-39716	104	13	its	its	PRON
esrj-39716	104	14	subimages	subimage	NOUN
esrj-39716	104	15	:	:	PUNCT
esrj-39716	104	16	xdℓ=[xdℓ1	xdℓ=[xdℓ1	NUM
esrj-39716	104	17	,	,	PUNCT
esrj-39716	104	18	…	…	PUNCT
esrj-39716	104	19	,	,	PUNCT
esrj-39716	104	20	xdℓh	xdℓh	NOUN
esrj-39716	104	21	]	]	PUNCT
esrj-39716	104	22	.	.	PUNCT
esrj-39716	105	1	figure	figure	NOUN
esrj-39716	105	2	1	1	NUM
esrj-39716	105	3	shows	show	VERB
esrj-39716	105	4	this	this	DET
esrj-39716	105	5	representation	representation	NOUN
esrj-39716	105	6	of	of	ADP
esrj-39716	105	7	the	the	DET
esrj-39716	105	8	data	data	NOUN
esrj-39716	105	9	sets	set	NOUN
esrj-39716	105	10	.	.	PUNCT
esrj-39716	106	1	let	let	VERB
esrj-39716	106	2	cdj	cdj	PROPN
esrj-39716	107	1	and	and	CCONJ
esrj-39716	107	2	xdℓj	xdℓj	PROPN
esrj-39716	107	3	be	be	AUX
esrj-39716	107	4	the	the	DET
esrj-39716	107	5	vector	vector	NOUN
esrj-39716	107	6	representations	representation	NOUN
esrj-39716	107	7	of	of	ADP
esrj-39716	107	8	cdj	cdj	PROPN
esrj-39716	107	9	and	and	CCONJ
esrj-39716	107	10	xdℓj	xdℓj	PROPN
esrj-39716	107	11	,	,	PUNCT
esrj-39716	107	12	such	such	ADJ
esrj-39716	107	13	that	that	PRON
esrj-39716	107	14	cdj	cdj	PROPN
esrj-39716	107	15	=	=	SYM
esrj-39716	107	16	vec(cdj	vec(cdj	PROPN
esrj-39716	107	17	)	)	PUNCT
esrj-39716	107	18	and	and	CCONJ
esrj-39716	107	19	xdℓj	xdℓj	NOUN
esrj-39716	107	20	=	=	PUNCT
esrj-39716	108	1	vec(xdℓj	vec(xdℓj	ADJ
esrj-39716	108	2	)	)	PUNCT
esrj-39716	108	3	.	.	PUNCT
esrj-39716	109	1	more	more	ADV
esrj-39716	109	2	specifically	specifically	ADV
esrj-39716	109	3	,	,	PUNCT
esrj-39716	109	4	the	the	DET
esrj-39716	109	5	vector	vector	NOUN
esrj-39716	109	6	representation	representation	NOUN
esrj-39716	109	7	of	of	ADP
esrj-39716	109	8	the	the	DET
esrj-39716	109	9	jth	jth	PROPN
esrj-39716	109	10	subimage	subimage	NOUN
esrj-39716	109	11	is	be	AUX
esrj-39716	109	12	given	give	VERB
esrj-39716	109	13	by	by	ADP
esrj-39716	109	14	(	(	PUNCT
esrj-39716	109	15	cdj)ℓ	cdj)ℓ	PROPN
esrj-39716	109	16	=	=	SYM
esrj-39716	109	17	(	(	PUNCT
esrj-39716	109	18	cdj	cdj	PROPN
esrj-39716	109	19	)	)	PUNCT
esrj-39716	109	20	(	(	PUNCT
esrj-39716	109	21	ℓ-rp)r	ℓ-rp)r	ADV
esrj-39716	109	22	´	´	NOUN
esrj-39716	109	23	for	for	ADP
esrj-39716	109	24	ℓ	ℓ	PROPN
esrj-39716	109	25	=	=	SYM
esrj-39716	109	26	0	0	NUM
esrj-39716	109	27	,	,	PUNCT
esrj-39716	109	28	…	…	PUNCT
esrj-39716	109	29	,	,	PUNCT
esrj-39716	109	30	p2	p2	PROPN
esrj-39716	109	31	1	1	NUM
esrj-39716	109	32	and	and	CCONJ
esrj-39716	109	33	r	r	NOUN
esrj-39716	109	34	=	=	PUNCT
esrj-39716	110	1	[	[	X
esrj-39716	110	2	ℓp	ℓp	X
esrj-39716	110	3	]	]	X
esrj-39716	110	4	.	.	PUNCT
esrj-39716	111	1	2.1	2.1	NUM
esrj-39716	111	2	.	.	PUNCT
esrj-39716	112	1	gabor	gabor	PROPN
esrj-39716	112	2	representation	representation	PROPN
esrj-39716	112	3	the	the	DET
esrj-39716	112	4	vectors	vector	NOUN
esrj-39716	112	5	cdj	cdj	PROPN
esrj-39716	112	6	and	and	CCONJ
esrj-39716	112	7	xdℓj	xdℓj	PROPN
esrj-39716	112	8	are	be	AUX
esrj-39716	112	9	first	first	ADV
esrj-39716	112	10	transformed	transform	VERB
esrj-39716	112	11	to	to	PART
esrj-39716	112	12	extract	extract	VERB
esrj-39716	112	13	their	their	PRON
esrj-39716	112	14	texture	texture	NOUN
esrj-39716	112	15	features	feature	NOUN
esrj-39716	112	16	.	.	PUNCT
esrj-39716	113	1	a	a	DET
esrj-39716	113	2	two	two	NUM
esrj-39716	113	3	-	-	PUNCT
esrj-39716	113	4	dimensional	dimensional	ADJ
esrj-39716	113	5	gabor	gabor	NOUN
esrj-39716	113	6	function	function	NOUN
esrj-39716	113	7	is	be	AUX
esrj-39716	113	8	used	use	VERB
esrj-39716	113	9	because	because	SCONJ
esrj-39716	113	10	it	it	PRON
esrj-39716	113	11	provides	provide	VERB
esrj-39716	113	12	a	a	DET
esrj-39716	113	13	multi	multi	ADJ
esrj-39716	113	14	-	-	NOUN
esrj-39716	113	15	scale	scale	ADJ
esrj-39716	113	16	and	and	CCONJ
esrj-39716	113	17	multi	multi	ADJ
esrj-39716	113	18	-	-	ADJ
esrj-39716	113	19	orientation	orientation	ADJ
esrj-39716	113	20	representation	representation	NOUN
esrj-39716	113	21	of	of	ADP
esrj-39716	113	22	the	the	DET
esrj-39716	113	23	underlying	underlie	VERB
esrj-39716	113	24	signals	signal	NOUN
esrj-39716	113	25	(	(	PUNCT
esrj-39716	113	26	clausi	clausi	NOUN
esrj-39716	113	27	&	&	CCONJ
esrj-39716	113	28	jernigan	jernigan	PROPN
esrj-39716	113	29	,	,	PUNCT
esrj-39716	113	30	2000	2000	NUM
esrj-39716	113	31	)	)	PUNCT
esrj-39716	113	32	.	.	PUNCT
esrj-39716	114	1	in	in	ADP
esrj-39716	114	2	the	the	DET
esrj-39716	114	3	spatial	spatial	ADJ
esrj-39716	114	4	domain	domain	NOUN
esrj-39716	114	5	,	,	PUNCT
esrj-39716	114	6	a	a	DET
esrj-39716	114	7	2d	2d	NUM
esrj-39716	114	8	gabor	gabor	NOUN
esrj-39716	114	9	function	function	NOUN
esrj-39716	114	10	is	be	AUX
esrj-39716	114	11	a	a	DET
esrj-39716	114	12	sinusoidal	sinusoidal	ADJ
esrj-39716	114	13	plane	plane	NOUN
esrj-39716	114	14	wave	wave	NOUN
esrj-39716	114	15	modulated	modulate	VERB
esrj-39716	114	16	by	by	ADP
esrj-39716	114	17	a	a	DET
esrj-39716	114	18	gaussian	gaussian	ADJ
esrj-39716	114	19	function	function	NOUN
esrj-39716	114	20	.	.	PUNCT
esrj-39716	115	1	more	more	ADV
esrj-39716	115	2	specifically	specifically	ADV
esrj-39716	115	3	,	,	PUNCT
esrj-39716	115	4	the	the	DET
esrj-39716	115	5	2d	2d	PROPN
esrj-39716	115	6	gabor	gabor	PROPN
esrj-39716	115	7	function	function	NOUN
esrj-39716	115	8	is	be	AUX
esrj-39716	115	9	given	give	VERB
esrj-39716	115	10	by	by	ADP
esrj-39716	115	11	(	(	PUNCT
esrj-39716	115	12	1	1	X
esrj-39716	115	13	)	)	PUNCT
esrj-39716	115	14	where	where	SCONJ
esrj-39716	115	15	u0	u0	ADJ
esrj-39716	115	16	is	be	AUX
esrj-39716	115	17	the	the	DET
esrj-39716	115	18	frequency	frequency	NOUN
esrj-39716	115	19	and	and	CCONJ
esrj-39716	115	20	θ	θ	PROPN
esrj-39716	115	21	is	be	AUX
esrj-39716	115	22	the	the	DET
esrj-39716	115	23	anti	anti	ADJ
esrj-39716	115	24	-	-	ADJ
esrj-39716	115	25	clockwise	clockwise	ADJ
esrj-39716	115	26	rotation	rotation	NOUN
esrj-39716	115	27	of	of	ADP
esrj-39716	115	28	the	the	DET
esrj-39716	115	29	gaussian	gaussian	ADJ
esrj-39716	115	30	function	function	NOUN
esrj-39716	115	31	and	and	CCONJ
esrj-39716	115	32	the	the	DET
esrj-39716	115	33	plane	plane	NOUN
esrj-39716	115	34	wave	wave	NOUN
esrj-39716	115	35	.	.	PUNCT
esrj-39716	116	1	the	the	DET
esrj-39716	116	2	values	value	NOUN
esrj-39716	116	3	σx	σx	PROPN
esrj-39716	116	4	and	and	CCONJ
esrj-39716	116	5	σy	σy	PRON
esrj-39716	116	6	represent	represent	VERB
esrj-39716	116	7	the	the	DET
esrj-39716	116	8	size	size	NOUN
esrj-39716	116	9	of	of	ADP
esrj-39716	116	10	the	the	DET
esrj-39716	116	11	gaussian	gaussian	ADJ
esrj-39716	116	12	function	function	NOUN
esrj-39716	116	13	or	or	CCONJ
esrj-39716	116	14	the	the	DET
esrj-39716	116	15	scale	scale	NOUN
esrj-39716	116	16	in	in	ADP
esrj-39716	116	17	the	the	DET
esrj-39716	116	18	x	x	NOUN
esrj-39716	116	19	and	and	CCONJ
esrj-39716	116	20	y	y	PROPN
esrj-39716	116	21	dimensions	dimension	NOUN
esrj-39716	116	22	,	,	PUNCT
esrj-39716	116	23	respectively	respectively	ADV
esrj-39716	116	24	.	.	PUNCT
esrj-39716	117	1	the	the	DET
esrj-39716	117	2	gabor	gabor	PROPN
esrj-39716	117	3	function	function	NOUN
esrj-39716	117	4	in	in	ADP
esrj-39716	117	5	(	(	PUNCT
esrj-39716	117	6	1	1	X
esrj-39716	117	7	)	)	PUNCT
esrj-39716	117	8	can	can	AUX
esrj-39716	117	9	be	be	AUX
esrj-39716	117	10	expressed	express	VERB
esrj-39716	117	11	in	in	ADP
esrj-39716	117	12	matrix	matrix	NOUN
esrj-39716	117	13	notation	notation	NOUN
esrj-39716	117	14	as	as	ADP
esrj-39716	117	15	:	:	PUNCT
esrj-39716	117	16	(	(	PUNCT
esrj-39716	117	17	2	2	X
esrj-39716	117	18	)	)	PUNCT
esrj-39716	117	19	where	where	SCONJ
esrj-39716	117	20	wfu	wfu	PROPN
esrj-39716	117	21	θv	θv	PROPN
esrj-39716	117	22	represents	represent	VERB
esrj-39716	117	23	the	the	DET
esrj-39716	117	24	gabor	gabor	PROPN
esrj-39716	117	25	filter	filter	PROPN
esrj-39716	117	26	bank	bank	PROPN
esrj-39716	117	27	at	at	ADP
esrj-39716	117	28	frequency	frequency	NOUN
esrj-39716	117	29	u	u	NOUN
esrj-39716	117	30	and	and	CCONJ
esrj-39716	117	31	rotation	rotation	NOUN
esrj-39716	117	32	v.	v.	CCONJ
esrj-39716	117	33	using	use	VERB
esrj-39716	117	34	w	w	PROPN
esrj-39716	117	35	,	,	PUNCT
esrj-39716	117	36	a	a	DET
esrj-39716	117	37	discrete	discrete	ADJ
esrj-39716	117	38	set	set	NOUN
esrj-39716	117	39	of	of	ADP
esrj-39716	117	40	transformations	transformation	NOUN
esrj-39716	117	41	is	be	AUX
esrj-39716	117	42	obtained	obtain	VERB
esrj-39716	117	43	.	.	PUNCT
esrj-39716	118	1	this	this	DET
esrj-39716	118	2	set	set	NOUN
esrj-39716	118	3	with	with	ADP
esrj-39716	118	4	different	different	ADJ
esrj-39716	118	5	frequencies	frequency	NOUN
esrj-39716	118	6	and	and	CCONJ
esrj-39716	118	7	orientations	orientation	NOUN
esrj-39716	118	8	is	be	AUX
esrj-39716	118	9	used	use	VERB
esrj-39716	118	10	to	to	PART
esrj-39716	118	11	extract	extract	VERB
esrj-39716	118	12	features	feature	NOUN
esrj-39716	118	13	from	from	ADP
esrj-39716	118	14	the	the	DET
esrj-39716	118	15	subimages	subimage	NOUN
esrj-39716	118	16	.	.	PUNCT
esrj-39716	119	1	selection	selection	NOUN
esrj-39716	119	2	of	of	ADP
esrj-39716	119	3	the	the	DET
esrj-39716	119	4	frequencies	frequency	NOUN
esrj-39716	119	5	emphasizes	emphasize	VERB
esrj-39716	119	6	the	the	DET
esrj-39716	119	7	intermediate	intermediate	ADJ
esrj-39716	119	8	frequency	frequency	NOUN
esrj-39716	119	9	band	band	NOUN
esrj-39716	119	10	as	as	ADP
esrj-39716	119	11	the	the	DET
esrj-39716	119	12	most	most	ADV
esrj-39716	119	13	significant	significant	ADJ
esrj-39716	119	14	information	information	NOUN
esrj-39716	119	15	about	about	ADP
esrj-39716	119	16	a	a	DET
esrj-39716	119	17	texture	texture	NOUN
esrj-39716	119	18	often	often	ADV
esrj-39716	119	19	appears	appear	VERB
esrj-39716	119	20	in	in	ADP
esrj-39716	119	21	the	the	DET
esrj-39716	119	22	middle	middle	ADJ
esrj-39716	119	23	frequency	frequency	NOUN
esrj-39716	119	24	channels	channel	NOUN
esrj-39716	119	25	(	(	PUNCT
esrj-39716	119	26	zhang	zhang	X
esrj-39716	119	27	,	,	PUNCT
esrj-39716	119	28	tan	tan	PROPN
esrj-39716	119	29	,	,	PUNCT
esrj-39716	119	30	&	&	CCONJ
esrj-39716	119	31	ma	ma	PROPN
esrj-39716	119	32	,	,	PUNCT
esrj-39716	119	33	2002	2002	NUM
esrj-39716	119	34	)	)	PUNCT
esrj-39716	119	35	,	,	PUNCT
esrj-39716	119	36	(	(	PUNCT
esrj-39716	119	37	chang	chang	PROPN
esrj-39716	119	38	&	&	CCONJ
esrj-39716	119	39	kuo	kuo	PROPN
esrj-39716	119	40	,	,	PUNCT
esrj-39716	119	41	1993	1993	NUM
esrj-39716	119	42	)	)	PUNCT
esrj-39716	119	43	.	.	PUNCT
esrj-39716	120	1	the	the	DET
esrj-39716	120	2	frequencies	frequency	NOUN
esrj-39716	120	3	are	be	AUX
esrj-39716	120	4	given	give	VERB
esrj-39716	120	5	by	by	ADP
esrj-39716	120	6	(	(	PUNCT
esrj-39716	120	7	3	3	NUM
esrj-39716	120	8	)	)	PUNCT
esrj-39716	120	9	where	where	SCONJ
esrj-39716	120	10	the	the	DET
esrj-39716	120	11	set	set	NOUN
esrj-39716	120	12	of	of	ADP
esrj-39716	120	13	frequencies	frequency	NOUN
esrj-39716	120	14	is	be	AUX
esrj-39716	120	15	fu	fu	ADJ
esrj-39716	120	16	=	=	PUNCT
esrj-39716	120	17	{	{	PUNCT
esrj-39716	120	18	fl	fl	PROPN
esrj-39716	120	19	,	,	PUNCT
esrj-39716	120	20	fh	fh	PROPN
esrj-39716	120	21	}	}	PUNCT
esrj-39716	120	22	and	and	CCONJ
esrj-39716	120	23	p	p	NOUN
esrj-39716	120	24	is	be	AUX
esrj-39716	120	25	the	the	DET
esrj-39716	120	26	size	size	NOUN
esrj-39716	120	27	of	of	ADP
esrj-39716	120	28	the	the	DET
esrj-39716	120	29	subimages	subimage	NOUN
esrj-39716	120	30	.	.	PUNCT
esrj-39716	121	1	however	however	ADV
esrj-39716	121	2	,	,	PUNCT
esrj-39716	121	3	the	the	DET
esrj-39716	121	4	literature	literature	NOUN
esrj-39716	121	5	indicates	indicate	VERB
esrj-39716	121	6	that	that	SCONJ
esrj-39716	121	7	a	a	DET
esrj-39716	121	8	finer	fine	ADJ
esrj-39716	121	9	quantization	quantization	NOUN
esrj-39716	121	10	of	of	ADP
esrj-39716	121	11	orientation	orientation	NOUN
esrj-39716	121	12	(	(	PUNCT
esrj-39716	121	13	larger	large	ADJ
esrj-39716	121	14	number	number	NOUN
esrj-39716	121	15	of	of	ADP
esrj-39716	121	16	rotations	rotation	NOUN
esrj-39716	121	17	)	)	PUNCT
esrj-39716	121	18	is	be	AUX
esrj-39716	121	19	needed	need	VERB
esrj-39716	121	20	.	.	PUNCT
esrj-39716	122	1	the	the	DET
esrj-39716	122	2	restriction	restriction	NOUN
esrj-39716	122	3	on	on	ADP
esrj-39716	122	4	the	the	DET
esrj-39716	122	5	decision	decision	NOUN
esrj-39716	122	6	about	about	ADP
esrj-39716	122	7	the	the	DET
esrj-39716	122	8	number	number	NOUN
esrj-39716	122	9	v	v	NOUN
esrj-39716	122	10	of	of	ADP
esrj-39716	122	11	rotations	rotation	NOUN
esrj-39716	122	12	,	,	PUNCT
esrj-39716	122	13	θ	θ	NOUN
esrj-39716	122	14	,	,	PUNCT
esrj-39716	122	15	is	be	AUX
esrj-39716	122	16	based	base	VERB
esrj-39716	122	17	on	on	ADP
esrj-39716	122	18	the	the	DET
esrj-39716	122	19	computational	computational	ADJ
esrj-39716	122	20	efficiency	efficiency	NOUN
esrj-39716	122	21	.	.	PUNCT
esrj-39716	123	1	given	give	VERB
esrj-39716	123	2	a	a	DET
esrj-39716	123	3	training	training	NOUN
esrj-39716	123	4	vector	vector	NOUN
esrj-39716	123	5	cdj	cdj	PROPN
esrj-39716	123	6	,	,	PUNCT
esrj-39716	123	7	the	the	DET
esrj-39716	123	8	respective	respective	ADJ
esrj-39716	123	9	training	training	NOUN
esrj-39716	123	10	gabor	gabor	PROPN
esrj-39716	123	11	transformation	transformation	NOUN
esrj-39716	123	12	can	can	AUX
esrj-39716	123	13	be	be	AUX
esrj-39716	123	14	written	write	VERB
esrj-39716	123	15	in	in	ADP
esrj-39716	123	16	matrix	matrix	NOUN
esrj-39716	123	17	notation	notation	NOUN
esrj-39716	123	18	as	as	ADP
esrj-39716	123	19	(	(	PUNCT
esrj-39716	123	20	4	4	NUM
esrj-39716	123	21	)	)	PUNCT
esrj-39716	123	22	where	where	SCONJ
esrj-39716	123	23	u	u	NOUN
esrj-39716	123	24	and	and	CCONJ
esrj-39716	123	25	v	v	NOUN
esrj-39716	123	26	indicate	indicate	VERB
esrj-39716	123	27	the	the	DET
esrj-39716	123	28	frequency	frequency	NOUN
esrj-39716	123	29	and	and	CCONJ
esrj-39716	123	30	the	the	DET
esrj-39716	123	31	rotation	rotation	NOUN
esrj-39716	123	32	,	,	PUNCT
esrj-39716	123	33	respectively	respectively	ADV
esrj-39716	123	34	.	.	PUNCT
esrj-39716	124	1	analogously	analogously	ADV
esrj-39716	124	2	,	,	PUNCT
esrj-39716	124	3	the	the	DET
esrj-39716	124	4	gabor	gabor	PROPN
esrj-39716	124	5	transformation	transformation	NOUN
esrj-39716	124	6	of	of	ADP
esrj-39716	124	7	the	the	DET
esrj-39716	124	8	test	test	NOUN
esrj-39716	124	9	vectors	vector	NOUN
esrj-39716	124	10	xdℓ	xdℓ	PROPN
esrj-39716	124	11	j	j	PROPN
esrj-39716	124	12	can	can	AUX
esrj-39716	124	13	be	be	AUX
esrj-39716	124	14	written	write	VERB
esrj-39716	124	15	as	as	ADP
esrj-39716	124	16	(	(	PUNCT
esrj-39716	124	17	5	5	NUM
esrj-39716	124	18	)	)	PUNCT
esrj-39716	124	19	figure	figure	NOUN
esrj-39716	124	20	1	1	NUM
esrj-39716	124	21	shows	show	VERB
esrj-39716	124	22	the	the	DET
esrj-39716	124	23	representation	representation	NOUN
esrj-39716	124	24	of	of	ADP
esrj-39716	124	25	the	the	DET
esrj-39716	124	26	data	data	NOUN
esrj-39716	124	27	sets	set	NOUN
esrj-39716	124	28	and	and	CCONJ
esrj-39716	124	29	the	the	DET
esrj-39716	124	30	process	process	NOUN
esrj-39716	124	31	used	use	VERB
esrj-39716	124	32	to	to	PART
esrj-39716	124	33	obtain	obtain	VERB
esrj-39716	124	34	the	the	DET
esrj-39716	124	35	respective	respective	ADJ
esrj-39716	124	36	transformations	transformation	NOUN
esrj-39716	124	37	.	.	PUNCT
esrj-39716	125	1	2.2	2.2	NUM
esrj-39716	125	2	.	.	PUNCT
esrj-39716	126	1	feature	feature	NOUN
esrj-39716	126	2	extraction	extraction	NOUN
esrj-39716	126	3	two	two	NUM
esrj-39716	126	4	features	feature	NOUN
esrj-39716	126	5	,	,	PUNCT
esrj-39716	126	6	the	the	DET
esrj-39716	126	7	mean	mean	NOUN
esrj-39716	126	8	and	and	CCONJ
esrj-39716	126	9	the	the	DET
esrj-39716	126	10	standard	standard	ADJ
esrj-39716	126	11	deviation	deviation	NOUN
esrj-39716	126	12	of	of	ADP
esrj-39716	126	13	the	the	DET
esrj-39716	126	14	classification	classification	NOUN
esrj-39716	126	15	system	system	NOUN
esrj-39716	126	16	,	,	PUNCT
esrj-39716	126	17	can	can	AUX
esrj-39716	126	18	be	be	AUX
esrj-39716	126	19	directly	directly	ADV
esrj-39716	126	20	estimated	estimate	VERB
esrj-39716	126	21	using	use	VERB
esrj-39716	126	22	the	the	DET
esrj-39716	126	23	gabor	gabor	PROPN
esrj-39716	126	24	transformation	transformation	NOUN
esrj-39716	126	25	in	in	ADP
esrj-39716	126	26	(	(	PUNCT
esrj-39716	126	27	4	4	NUM
esrj-39716	126	28	)	)	PUNCT
esrj-39716	126	29	and	and	CCONJ
esrj-39716	126	30	(	(	PUNCT
esrj-39716	126	31	5	5	NUM
esrj-39716	126	32	)	)	PUNCT
esrj-39716	126	33	;	;	PUNCT
esrj-39716	126	34	the	the	DET
esrj-39716	126	35	index	index	NOUN
esrj-39716	126	36	c	c	PROPN
esrj-39716	126	37	represents	represent	VERB
esrj-39716	126	38	the	the	DET
esrj-39716	126	39	set	set	NOUN
esrj-39716	126	40	of	of	ADP
esrj-39716	126	41	images	image	NOUN
esrj-39716	126	42	to	to	PART
esrj-39716	126	43	which	which	PRON
esrj-39716	126	44	the	the	DET
esrj-39716	126	45	transformation	transformation	NOUN
esrj-39716	126	46	belongs	belong	VERB
esrj-39716	126	47	.	.	PUNCT
esrj-39716	127	1	these	these	DET
esrj-39716	127	2	features	feature	NOUN
esrj-39716	127	3	are	be	AUX
esrj-39716	127	4	calculated	calculate	VERB
esrj-39716	127	5	for	for	ADP
esrj-39716	127	6	each	each	DET
esrj-39716	127	7	subimage	subimage	NOUN
esrj-39716	127	8	of	of	ADP
esrj-39716	127	9	the	the	DET
esrj-39716	127	10	training	training	NOUN
esrj-39716	127	11	set	set	NOUN
esrj-39716	127	12	using	use	VERB
esrj-39716	127	13	the	the	DET
esrj-39716	127	14	transformation	transformation	NOUN
esrj-39716	127	15	in	in	ADP
esrj-39716	127	16	(	(	PUNCT
esrj-39716	127	17	4	4	NUM
esrj-39716	127	18	)	)	PUNCT
esrj-39716	127	19	as	as	ADP
esrj-39716	127	20	(	(	PUNCT
esrj-39716	127	21	6	6	NUM
esrj-39716	127	22	)	)	PUNCT
esrj-39716	127	23	(	(	PUNCT
esrj-39716	127	24	7	7	X
esrj-39716	127	25	)	)	PUNCT
esrj-39716	127	26	where	where	SCONJ
esrj-39716	127	27	p	p	NOUN
esrj-39716	127	28	is	be	AUX
esrj-39716	127	29	the	the	DET
esrj-39716	127	30	dimension	dimension	NOUN
esrj-39716	127	31	of	of	ADP
esrj-39716	127	32	the	the	DET
esrj-39716	127	33	subimage	subimage	NOUN
esrj-39716	127	34	and	and	CCONJ
esrj-39716	127	35	u	u	NOUN
esrj-39716	127	36	is	be	AUX
esrj-39716	127	37	a	a	DET
esrj-39716	127	38	p2	p2	NOUN
esrj-39716	127	39	-	-	PUNCT
esrj-39716	127	40	long	long	ADJ
esrj-39716	127	41	one	one	NUM
esrj-39716	127	42	-	-	PUNCT
esrj-39716	127	43	valued	value	VERB
esrj-39716	127	44	vector	vector	NOUN
esrj-39716	127	45	.	.	PUNCT
esrj-39716	128	1	equivalently	equivalently	ADV
esrj-39716	128	2	,	,	PUNCT
esrj-39716	128	3	the	the	DET
esrj-39716	128	4	mean	mean	ADJ
esrj-39716	128	5	and	and	CCONJ
esrj-39716	128	6	standard	standard	ADJ
esrj-39716	128	7	deviation	deviation	NOUN
esrj-39716	128	8	are	be	AUX
esrj-39716	128	9	calculated	calculate	VERB
esrj-39716	128	10	for	for	ADP
esrj-39716	128	11	the	the	DET
esrj-39716	128	12	test	test	NOUN
esrj-39716	128	13	images	image	NOUN
esrj-39716	128	14	by	by	ADP
esrj-39716	128	15	using	use	VERB
esrj-39716	128	16	the	the	DET
esrj-39716	128	17	respective	respective	ADJ
esrj-39716	128	18	in	in	ADP
esrj-39716	128	19	(	(	PUNCT
esrj-39716	128	20	5	5	NUM
esrj-39716	128	21	)	)	PUNCT
esrj-39716	128	22	as	as	ADP
esrj-39716	128	23	(	(	PUNCT
esrj-39716	128	24	8)	8)	NUM
esrj-39716	128	25	(	(	PUNCT
esrj-39716	128	26	9	9	NUM
esrj-39716	128	27	)	)	PUNCT
esrj-39716	128	28	the	the	DET
esrj-39716	128	29	energy	energy	NOUN
esrj-39716	128	30	,	,	PUNCT
esrj-39716	128	31	contrast	contrast	NOUN
esrj-39716	128	32	,	,	PUNCT
esrj-39716	128	33	homogeneity	homogeneity	NOUN
esrj-39716	128	34	and	and	CCONJ
esrj-39716	128	35	correlation	correlation	NOUN
esrj-39716	128	36	are	be	AUX
esrj-39716	128	37	also	also	ADV
esrj-39716	128	38	calculated	calculate	VERB
esrj-39716	128	39	for	for	ADP
esrj-39716	128	40	the	the	DET
esrj-39716	128	41	subimages	subimage	NOUN
esrj-39716	128	42	,	,	PUNCT
esrj-39716	128	43	in	in	ADP
esrj-39716	128	44	addition	addition	NOUN
esrj-39716	128	45	to	to	ADP
esrj-39716	128	46	the	the	DET
esrj-39716	128	47	mean	mean	NOUN
esrj-39716	128	48	and	and	CCONJ
esrj-39716	128	49	the	the	DET
esrj-39716	128	50	standard	standard	ADJ
esrj-39716	128	51	deviation	deviation	NOUN
esrj-39716	128	52	given	give	VERB
esrj-39716	128	53	in	in	ADP
esrj-39716	128	54	(	(	PUNCT
esrj-39716	128	55	6	6	NUM
esrj-39716	128	56	)	)	PUNCT
esrj-39716	128	57	,	,	PUNCT
esrj-39716	128	58	(	(	PUNCT
esrj-39716	128	59	7	7	NUM
esrj-39716	128	60	)	)	PUNCT
esrj-39716	128	61	,	,	PUNCT
esrj-39716	128	62	(	(	PUNCT
esrj-39716	128	63	8)	8)	NUM
esrj-39716	128	64	and	and	CCONJ
esrj-39716	128	65	(	(	PUNCT
esrj-39716	128	66	9	9	NUM
esrj-39716	128	67	)	)	PUNCT
esrj-39716	128	68	.	.	PUNCT
esrj-39716	129	1	the	the	DET
esrj-39716	129	2	co	co	NOUN
esrj-39716	129	3	-	-	NOUN
esrj-39716	129	4	occurrence	occurrence	ADJ
esrj-39716	129	5	matrix	matrix	NOUN
esrj-39716	129	6	is	be	AUX
esrj-39716	129	7	defined	define	VERB
esrj-39716	129	8	as	as	ADP
esrj-39716	129	9	a	a	DET
esrj-39716	129	10	matrix	matrix	NOUN
esrj-39716	129	11	or	or	CCONJ
esrj-39716	129	12	distribution	distribution	NOUN
esrj-39716	129	13	of	of	ADP
esrj-39716	129	14	co	co	VERB
esrj-39716	129	15	-	-	ADJ
esrj-39716	129	16	occurring	occurring	ADJ
esrj-39716	129	17	values	value	NOUN
esrj-39716	129	18	at	at	ADP
esrj-39716	129	19	a	a	DET
esrj-39716	129	20	given	give	VERB
esrj-39716	129	21	offset	offset	NOUN
esrj-39716	129	22	.	.	PUNCT
esrj-39716	130	1	the	the	DET
esrj-39716	130	2	use	use	NOUN
esrj-39716	130	3	of	of	ADP
esrj-39716	130	4	this	this	DET
esrj-39716	130	5	matrix	matrix	NOUN
esrj-39716	130	6	is	be	AUX
esrj-39716	130	7	based	base	VERB
esrj-39716	130	8	on	on	ADP
esrj-39716	130	9	the	the	DET
esrj-39716	130	10	assumption	assumption	NOUN
esrj-39716	130	11	that	that	SCONJ
esrj-39716	130	12	the	the	DET
esrj-39716	130	13	texture	texture	ADJ
esrj-39716	130	14	information	information	NOUN
esrj-39716	130	15	on	on	ADP
esrj-39716	130	16	the	the	DET
esrj-39716	130	17	image	image	NOUN
esrj-39716	130	18	vector	vector	NOUN
esrj-39716	130	19	or	or	CCONJ
esrj-39716	130	20	is	be	AUX
esrj-39716	130	21	contained	contain	VERB
esrj-39716	130	22	in	in	ADP
esrj-39716	130	23	the	the	DET
esrj-39716	130	24	overall	overall	ADJ
esrj-39716	130	25	or	or	CCONJ
esrj-39716	130	26	average	average	ADJ
esrj-39716	130	27	spatial	spatial	ADJ
esrj-39716	130	28	relationships	relationship	NOUN
esrj-39716	130	29	of	of	ADP
esrj-39716	130	30	these	these	DET
esrj-39716	130	31	vectors	vector	NOUN
esrj-39716	130	32	(	(	PUNCT
esrj-39716	130	33	haralick	haralick	NOUN
esrj-39716	130	34	,	,	PUNCT
esrj-39716	130	35	shanmugan	shanmugan	NOUN
esrj-39716	130	36	,	,	PUNCT
esrj-39716	130	37	&	&	CCONJ
esrj-39716	130	38	dinstein	dinstein	PROPN
esrj-39716	130	39	,	,	PUNCT
esrj-39716	130	40	1973	1973	NUM
esrj-39716	130	41	)	)	PUNCT
esrj-39716	130	42	.	.	PUNCT
esrj-39716	131	1	the	the	DET
esrj-39716	131	2	co	co	NOUN
esrj-39716	131	3	-	-	NOUN
esrj-39716	131	4	occurrence	occurrence	ADJ
esrj-39716	131	5	matrix	matrix	NOUN
esrj-39716	131	6	is	be	AUX
esrj-39716	131	7	defined	define	VERB
esrj-39716	131	8	as	as	ADP
esrj-39716	131	9	g	g	NOUN
esrj-39716	131	10	=	=	PROPN
esrj-39716	131	11	q	q	PROPN
esrj-39716	131	12	(	(	PUNCT
esrj-39716	131	13	)	)	PUNCT
esrj-39716	131	14	where	where	SCONJ
esrj-39716	131	15	q	q	NOUN
esrj-39716	131	16	is	be	AUX
esrj-39716	131	17	an	an	DET
esrj-39716	131	18	operator	operator	NOUN
esrj-39716	131	19	that	that	PRON
esrj-39716	131	20	defines	define	VERB
esrj-39716	131	21	the	the	DET
esrj-39716	131	22	position	position	NOUN
esrj-39716	131	23	of	of	ADP
esrj-39716	131	24	two	two	NUM
esrj-39716	131	25	pixels	pixel	NOUN
esrj-39716	131	26	relative	relative	ADJ
esrj-39716	131	27	to	to	ADP
esrj-39716	131	28	each	each	DET
esrj-39716	131	29	other	other	ADJ
esrj-39716	131	30	.	.	PUNCT
esrj-39716	132	1	let	let	VERB
esrj-39716	132	2	the	the	DET
esrj-39716	132	3	elements	element	NOUN
esrj-39716	132	4	of	of	ADP
esrj-39716	132	5	g	g	PROPN
esrj-39716	132	6	be	be	AUX
esrj-39716	132	7	gij	gij	ADJ
esrj-39716	132	8	.	.	PUNCT
esrj-39716	133	1	then	then	ADV
esrj-39716	133	2	,	,	PUNCT
esrj-39716	133	3	gij	gij	NOUN
esrj-39716	133	4	represents	represent	VERB
esrj-39716	133	5	the	the	DET
esrj-39716	133	6	number	number	NOUN
esrj-39716	133	7	of	of	ADP
esrj-39716	133	8	times	time	NOUN
esrj-39716	133	9	that	that	PRON
esrj-39716	133	10	pixel	pixel	VERB
esrj-39716	133	11	pairs	pair	NOUN
esrj-39716	133	12	with	with	ADP
esrj-39716	133	13	intensities	intensity	NOUN
esrj-39716	133	14	i	i	PRON
esrj-39716	133	15	and	and	CCONJ
esrj-39716	133	16	j	j	PROPN
esrj-39716	133	17	are	be	AUX
esrj-39716	133	18	present	present	ADJ
esrj-39716	133	19	in	in	ADP
esrj-39716	133	20	an	an	DET
esrj-39716	133	21	image	image	NOUN
esrj-39716	133	22	in	in	ADP
esrj-39716	133	23	the	the	DET
esrj-39716	133	24	position	position	NOUN
esrj-39716	133	25	specified	specify	VERB
esrj-39716	133	26	by	by	ADP
esrj-39716	133	27	q.	q.	NOUN
esrj-39716	133	28	the	the	DET
esrj-39716	133	29	size	size	NOUN
esrj-39716	133	30	of	of	ADP
esrj-39716	133	31	this	this	DET
esrj-39716	133	32	co	co	NOUN
esrj-39716	133	33	-	-	NOUN
esrj-39716	133	34	occurrence	occurrence	ADJ
esrj-39716	133	35	matrix	matrix	NOUN
esrj-39716	133	36	is	be	AUX
esrj-39716	133	37	determined	determine	VERB
esrj-39716	133	38	by	by	ADP
esrj-39716	133	39	the	the	DET
esrj-39716	133	40	number	number	NOUN
esrj-39716	133	41	of	of	ADP
esrj-39716	133	42	possible	possible	ADJ
esrj-39716	133	43	intensity	intensity	NOUN
esrj-39716	133	44	levels	level	NOUN
esrj-39716	133	45	in	in	ADP
esrj-39716	133	46	the	the	DET
esrj-39716	133	47	image	image	NOUN
esrj-39716	133	48	.	.	PUNCT
esrj-39716	134	1	for	for	ADP
esrj-39716	134	2	an	an	DET
esrj-39716	134	3	8	8	NUM
esrj-39716	134	4	-	-	PUNCT
esrj-39716	134	5	bit	bit	NOUN
esrj-39716	134	6	(	(	PUNCT
esrj-39716	134	7	256	256	NUM
esrj-39716	134	8	possible	possible	ADJ
esrj-39716	134	9	levels	level	NOUN
esrj-39716	134	10	)	)	PUNCT
esrj-39716	134	11	image	image	NOUN
esrj-39716	134	12	,	,	PUNCT
esrj-39716	134	13	g	g	PROPN
esrj-39716	134	14	will	will	AUX
esrj-39716	134	15	be	be	AUX
esrj-39716	134	16	256x256	256x256	PROPN
esrj-39716	134	17	.	.	PUNCT
esrj-39716	135	1	to	to	PART
esrj-39716	135	2	reduce	reduce	VERB
esrj-39716	135	3	computation	computation	NOUN
esrj-39716	135	4	load	load	NOUN
esrj-39716	135	5	,	,	PUNCT
esrj-39716	135	6	a	a	DET
esrj-39716	135	7	frequently	frequently	ADV
esrj-39716	135	8	used	use	VERB
esrj-39716	135	9	approach	approach	NOUN
esrj-39716	135	10	is	be	AUX
esrj-39716	135	11	to	to	PART
esrj-39716	135	12	quantize	quantize	VERB
esrj-39716	135	13	the	the	DET
esrj-39716	135	14	intensities	intensity	NOUN
esrj-39716	135	15	into	into	ADP
esrj-39716	135	16	a	a	DET
esrj-39716	135	17	few	few	ADJ
esrj-39716	135	18	bands	band	NOUN
esrj-39716	135	19	to	to	PART
esrj-39716	135	20	keep	keep	VERB
esrj-39716	135	21	the	the	DET
esrj-39716	135	22	size	size	NOUN
esrj-39716	135	23	of	of	ADP
esrj-39716	135	24	the	the	DET
esrj-39716	135	25	matrix	matrix	NOUN
esrj-39716	135	26	g	g	NOUN
esrj-39716	135	27	treatable	treatable	NOUN
esrj-39716	135	28	.	.	PUNCT
esrj-39716	136	1	in	in	ADP
esrj-39716	136	2	the	the	DET
esrj-39716	136	3	case	case	NOUN
esrj-39716	136	4	of	of	ADP
esrj-39716	136	5	the	the	DET
esrj-39716	136	6	256	256	NUM
esrj-39716	136	7	intensities	intensity	NOUN
esrj-39716	136	8	,	,	PUNCT
esrj-39716	136	9	a	a	DET
esrj-39716	136	10	quantization	quantization	NOUN
esrj-39716	136	11	on	on	ADP
esrj-39716	136	12	b	b	NOUN
esrj-39716	136	13	levels	level	NOUN
esrj-39716	136	14	,	,	PUNCT
esrj-39716	136	15	where	where	SCONJ
esrj-39716	136	16	l	l	NOUN
esrj-39716	136	17	=	=	NOUN
esrj-39716	136	18	8	8	NUM
esrj-39716	136	19	results	result	NOUN
esrj-39716	136	20	in	in	ADP
esrj-39716	136	21	a	a	DET
esrj-39716	136	22	co	co	NOUN
esrj-39716	136	23	-	-	NOUN
esrj-39716	136	24	occurrence	occurrence	ADJ
esrj-39716	136	25	matrix	matrix	NOUN
esrj-39716	136	26	of	of	ADP
esrj-39716	136	27	size	size	NOUN
esrj-39716	136	28	b	b	PROPN
esrj-39716	136	29	x	x	SYM
esrj-39716	136	30	b	b	PROPN
esrj-39716	136	31	(	(	PUNCT
esrj-39716	136	32	gonzalez	gonzalez	PROPN
esrj-39716	136	33	&	&	CCONJ
esrj-39716	136	34	woods	woods	PROPN
esrj-39716	136	35	,	,	PUNCT
esrj-39716	136	36	2008	2008	NUM
esrj-39716	136	37	)	)	PUNCT
esrj-39716	136	38	.	.	PUNCT
esrj-39716	137	1	the	the	DET
esrj-39716	137	2	co	co	NOUN
esrj-39716	137	3	-	-	NOUN
esrj-39716	137	4	occurrence	occurrence	ADJ
esrj-39716	137	5	matrix	matrix	NOUN
esrj-39716	137	6	associated	associate	VERB
esrj-39716	137	7	with	with	ADP
esrj-39716	137	8	the	the	DET
esrj-39716	137	9	training	training	NOUN
esrj-39716	137	10	image	image	NOUN
esrj-39716	137	11	vector	vector	NOUN
esrj-39716	137	12	is	be	AUX
esrj-39716	137	13	given	give	VERB
esrj-39716	137	14	by	by	ADP
esrj-39716	137	15	.	.	PUNCT
esrj-39716	138	1	(	(	PUNCT
esrj-39716	138	2	10	10	NUM
esrj-39716	138	3	)	)	PUNCT
esrj-39716	138	4	accordingly	accordingly	ADV
esrj-39716	138	5	,	,	PUNCT
esrj-39716	138	6	the	the	DET
esrj-39716	138	7	co	co	NOUN
esrj-39716	138	8	-	-	NOUN
esrj-39716	138	9	occurrence	occurrence	ADJ
esrj-39716	138	10	matrix	matrix	NOUN
esrj-39716	138	11	for	for	ADP
esrj-39716	138	12	the	the	DET
esrj-39716	138	13	image	image	NOUN
esrj-39716	138	14	vector	vector	NOUN
esrj-39716	138	15	is	be	AUX
esrj-39716	138	16	.	.	PUNCT
esrj-39716	139	1	(	(	PUNCT
esrj-39716	139	2	11	11	NUM
esrj-39716	139	3	)	)	PUNCT
esrj-39716	139	4	160	160	NUM
esrj-39716	139	5	laura	laura	PROPN
esrj-39716	139	6	viviana	viviana	PROPN
esrj-39716	139	7	galvis	galvis	PROPN
esrj-39716	139	8	c.	c.	PROPN
esrj-39716	139	9	,	,	PUNCT
esrj-39716	139	10	reinel	reinel	VERB
esrj-39716	139	11	corzo	corzo	NOUN
esrj-39716	139	12	rueda	rueda	PROPN
esrj-39716	139	13	,	,	PUNCT
esrj-39716	139	14	henry	henry	PROPN
esrj-39716	139	15	arguello	arguello	PROPN
esrj-39716	139	16	fuentes	fuentes	PROPN
esrj-39716	139	17	using	use	VERB
esrj-39716	139	18	the	the	DET
esrj-39716	139	19	co	co	NOUN
esrj-39716	139	20	-	-	NOUN
esrj-39716	139	21	occurrence	occurrence	ADJ
esrj-39716	139	22	matrices	matrix	NOUN
esrj-39716	139	23	,	,	PUNCT
esrj-39716	139	24	the	the	DET
esrj-39716	139	25	energy	energy	NOUN
esrj-39716	139	26	,	,	PUNCT
esrj-39716	139	27	contrast	contrast	NOUN
esrj-39716	139	28	,	,	PUNCT
esrj-39716	139	29	homogeneity	homogeneity	NOUN
esrj-39716	139	30	and	and	CCONJ
esrj-39716	139	31	correlation	correlation	NOUN
esrj-39716	139	32	are	be	AUX
esrj-39716	139	33	calculated	calculate	VERB
esrj-39716	139	34	.	.	PUNCT
esrj-39716	140	1	the	the	DET
esrj-39716	140	2	angular	angular	ADJ
esrj-39716	140	3	second	second	ADJ
esrj-39716	140	4	moment	moment	NOUN
esrj-39716	140	5	or	or	CCONJ
esrj-39716	140	6	energy	energy	NOUN
esrj-39716	140	7	for	for	ADP
esrj-39716	140	8	the	the	DET
esrj-39716	140	9	training	training	NOUN
esrj-39716	140	10	set	set	NOUN
esrj-39716	140	11	is	be	AUX
esrj-39716	140	12	calculated	calculate	VERB
esrj-39716	140	13	by	by	ADP
esrj-39716	140	14	.	.	PUNCT
esrj-39716	141	1	(	(	PUNCT
esrj-39716	141	2	12	12	NUM
esrj-39716	141	3	)	)	PUNCT
esrj-39716	141	4	the	the	DET
esrj-39716	141	5	contrast	contrast	NOUN
esrj-39716	141	6	or	or	CCONJ
esrj-39716	141	7	the	the	DET
esrj-39716	141	8	measure	measure	NOUN
esrj-39716	141	9	of	of	ADP
esrj-39716	141	10	the	the	DET
esrj-39716	141	11	amount	amount	NOUN
esrj-39716	141	12	of	of	ADP
esrj-39716	141	13	local	local	ADJ
esrj-39716	141	14	variation	variation	NOUN
esrj-39716	141	15	is	be	AUX
esrj-39716	141	16	given	give	VERB
esrj-39716	141	17	by	by	ADP
esrj-39716	141	18	.	.	PUNCT
esrj-39716	142	1	(	(	PUNCT
esrj-39716	142	2	13	13	NUM
esrj-39716	142	3	)	)	PUNCT
esrj-39716	142	4	the	the	DET
esrj-39716	142	5	direct	direct	ADJ
esrj-39716	142	6	measure	measure	NOUN
esrj-39716	142	7	of	of	ADP
esrj-39716	142	8	the	the	DET
esrj-39716	142	9	local	local	ADJ
esrj-39716	142	10	homogeneity	homogeneity	NOUN
esrj-39716	142	11	is	be	AUX
esrj-39716	142	12	calculated	calculate	VERB
esrj-39716	142	13	by	by	ADP
esrj-39716	142	14	(	(	PUNCT
esrj-39716	142	15	14	14	NUM
esrj-39716	142	16	)	)	PUNCT
esrj-39716	142	17	finally	finally	ADV
esrj-39716	142	18	,	,	PUNCT
esrj-39716	142	19	the	the	DET
esrj-39716	142	20	correlation	correlation	NOUN
esrj-39716	142	21	or	or	CCONJ
esrj-39716	142	22	the	the	DET
esrj-39716	142	23	measure	measure	NOUN
esrj-39716	142	24	of	of	ADP
esrj-39716	142	25	linear	linear	ADJ
esrj-39716	142	26	dependency	dependency	NOUN
esrj-39716	142	27	ρ	ρ	NOUN
esrj-39716	142	28	of	of	ADP
esrj-39716	142	29	neighboring	neighboring	NOUN
esrj-39716	142	30	image	image	NOUN
esrj-39716	142	31	pixels	pixel	NOUN
esrj-39716	142	32	is	be	AUX
esrj-39716	142	33	given	give	VERB
esrj-39716	142	34	by	by	ADP
esrj-39716	142	35	(	(	PUNCT
esrj-39716	142	36	15	15	NUM
esrj-39716	142	37	)	)	PUNCT
esrj-39716	142	38	where	where	SCONJ
esrj-39716	142	39	µk	µk	X
esrj-39716	142	40	,	,	PUNCT
esrj-39716	142	41	µr	µr	ADP
esrj-39716	142	42	,	,	PUNCT
esrj-39716	142	43	σk	σk	PROPN
esrj-39716	142	44	and	and	CCONJ
esrj-39716	142	45	σr	σr	PROPN
esrj-39716	142	46	are	be	AUX
esrj-39716	142	47	the	the	DET
esrj-39716	142	48	means	mean	NOUN
esrj-39716	142	49	and	and	CCONJ
esrj-39716	142	50	standard	standard	ADJ
esrj-39716	142	51	deviations	deviation	NOUN
esrj-39716	142	52	of	of	ADP
esrj-39716	142	53	gc	gc	PROPN
esrj-39716	142	54	and	and	CCONJ
esrj-39716	142	55	gc	gc	PROPN
esrj-39716	142	56	,	,	PUNCT
esrj-39716	142	57	respectively	respectively	ADV
esrj-39716	142	58	.	.	PUNCT
esrj-39716	143	1	similarly	similarly	ADV
esrj-39716	143	2	,	,	PUNCT
esrj-39716	143	3	textural	textural	ADJ
esrj-39716	143	4	features	feature	NOUN
esrj-39716	143	5	are	be	AUX
esrj-39716	143	6	calculated	calculate	VERB
esrj-39716	143	7	for	for	ADP
esrj-39716	143	8	the	the	DET
esrj-39716	143	9	testing	testing	NOUN
esrj-39716	143	10	image	image	NOUN
esrj-39716	143	11	vector	vector	NOUN
esrj-39716	143	12	.	.	PUNCT
esrj-39716	144	1	the	the	DET
esrj-39716	144	2	6	6	NUM
esrj-39716	144	3	characteristics	characteristic	NOUN
esrj-39716	144	4	for	for	ADP
esrj-39716	144	5	the	the	DET
esrj-39716	144	6	training	training	NOUN
esrj-39716	144	7	set	set	VERB
esrj-39716	144	8	in	in	ADP
esrj-39716	144	9	(	(	PUNCT
esrj-39716	144	10	6	6	NUM
esrj-39716	144	11	)	)	PUNCT
esrj-39716	144	12	,	,	PUNCT
esrj-39716	144	13	(	(	PUNCT
esrj-39716	144	14	7	7	X
esrj-39716	144	15	)	)	PUNCT
esrj-39716	144	16	and	and	CCONJ
esrj-39716	144	17	(	(	PUNCT
esrj-39716	144	18	12)-(15	12)-(15	X
esrj-39716	144	19	)	)	PUNCT
esrj-39716	144	20	are	be	AUX
esrj-39716	144	21	combined	combine	VERB
esrj-39716	144	22	into	into	ADP
esrj-39716	144	23	the	the	DET
esrj-39716	144	24	matrix	matrix	NOUN
esrj-39716	144	25	fc	fc	NOUN
esrj-39716	144	26	shown	show	VERB
esrj-39716	144	27	in	in	ADP
esrj-39716	144	28	equation	equation	NOUN
esrj-39716	144	29	(	(	PUNCT
esrj-39716	144	30	16	16	NUM
esrj-39716	144	31	)	)	PUNCT
esrj-39716	144	32	for	for	ADP
esrj-39716	144	33	the	the	DET
esrj-39716	144	34	h	h	NOUN
esrj-39716	144	35	sub	sub	NOUN
esrj-39716	144	36	-	-	NOUN
esrj-39716	144	37	images	image	NOUN
esrj-39716	144	38	and	and	CCONJ
esrj-39716	144	39	the	the	DET
esrj-39716	144	40	uv	uv	PROPN
esrj-39716	144	41	gabor	gabor	NOUN
esrj-39716	144	42	transformations	transformation	NOUN
esrj-39716	144	43	of	of	ADP
esrj-39716	144	44	each	each	PRON
esrj-39716	144	45	of	of	ADP
esrj-39716	144	46	those	those	DET
esrj-39716	144	47	sub	sub	NOUN
esrj-39716	144	48	-	-	NOUN
esrj-39716	144	49	images	image	NOUN
esrj-39716	144	50	.	.	PUNCT
esrj-39716	145	1	similarly	similarly	ADV
esrj-39716	145	2	,	,	PUNCT
esrj-39716	145	3	the	the	DET
esrj-39716	145	4	matrix	matrix	NOUN
esrj-39716	145	5	fx	fx	NOUN
esrj-39716	145	6	is	be	AUX
esrj-39716	145	7	constructed	construct	VERB
esrj-39716	145	8	using	use	VERB
esrj-39716	145	9	the	the	DET
esrj-39716	145	10	characteristics	characteristic	NOUN
esrj-39716	145	11	for	for	ADP
esrj-39716	145	12	the	the	DET
esrj-39716	145	13	testing	testing	NOUN
esrj-39716	145	14	set	set	NOUN
esrj-39716	145	15	.	.	PUNCT
esrj-39716	146	1	the	the	DET
esrj-39716	146	2	columns	column	NOUN
esrj-39716	146	3	of	of	ADP
esrj-39716	146	4	this	this	DET
esrj-39716	146	5	matrix	matrix	NOUN
esrj-39716	146	6	represent	represent	VERB
esrj-39716	146	7	the	the	DET
esrj-39716	146	8	h	h	NOUN
esrj-39716	146	9	subimages	subimage	NOUN
esrj-39716	146	10	,	,	PUNCT
esrj-39716	146	11	and	and	CCONJ
esrj-39716	146	12	the	the	DET
esrj-39716	146	13	rows	row	NOUN
esrj-39716	146	14	represent	represent	VERB
esrj-39716	146	15	the	the	DET
esrj-39716	146	16	filtered	filter	VERB
esrj-39716	146	17	images	image	NOUN
esrj-39716	146	18	uv	uv	NOUN
esrj-39716	146	19	for	for	ADP
esrj-39716	146	20	each	each	PRON
esrj-39716	146	21	of	of	ADP
esrj-39716	146	22	the	the	DET
esrj-39716	146	23	k	k	PROPN
esrj-39716	146	24	features	feature	VERB
esrj-39716	146	25	.	.	PUNCT
esrj-39716	147	1	a	a	DET
esrj-39716	147	2	flowchart	flowchart	NOUN
esrj-39716	147	3	of	of	ADP
esrj-39716	147	4	the	the	DET
esrj-39716	147	5	procedure	procedure	NOUN
esrj-39716	147	6	used	use	VERB
esrj-39716	147	7	to	to	PART
esrj-39716	147	8	obtain	obtain	VERB
esrj-39716	147	9	the	the	DET
esrj-39716	147	10	matrix	matrix	NOUN
esrj-39716	147	11	of	of	ADP
esrj-39716	147	12	features	feature	NOUN
esrj-39716	147	13	of	of	ADP
esrj-39716	147	14	any	any	DET
esrj-39716	147	15	image	image	NOUN
esrj-39716	147	16	and	and	CCONJ
esrj-39716	147	17	to	to	PART
esrj-39716	147	18	make	make	VERB
esrj-39716	147	19	a	a	DET
esrj-39716	147	20	final	final	ADJ
esrj-39716	147	21	decision	decision	NOUN
esrj-39716	147	22	about	about	ADP
esrj-39716	147	23	its	its	PRON
esrj-39716	147	24	classification	classification	NOUN
esrj-39716	147	25	is	be	AUX
esrj-39716	147	26	presented	present	VERB
esrj-39716	147	27	in	in	ADP
esrj-39716	147	28	figure	figure	NOUN
esrj-39716	147	29	2	2	NUM
esrj-39716	147	30	.	.	PUNCT
esrj-39716	148	1	(	(	PUNCT
esrj-39716	148	2	16	16	NUM
esrj-39716	148	3	)	)	PUNCT
esrj-39716	148	4	figure	figure	NOUN
esrj-39716	148	5	2	2	NUM
esrj-39716	148	6	.	.	X
esrj-39716	149	1	flowchart	flowchart	NOUN
esrj-39716	149	2	of	of	ADP
esrj-39716	149	3	the	the	DET
esrj-39716	149	4	process	process	NOUN
esrj-39716	149	5	used	use	VERB
esrj-39716	149	6	to	to	PART
esrj-39716	149	7	estimate	estimate	VERB
esrj-39716	149	8	the	the	DET
esrj-39716	149	9	matrix	matrix	NOUN
esrj-39716	149	10	of	of	ADP
esrj-39716	149	11	features	feature	NOUN
esrj-39716	149	12	.	.	PUNCT
esrj-39716	150	1	the	the	DET
esrj-39716	150	2	matrices	matrix	NOUN
esrj-39716	150	3	of	of	ADP
esrj-39716	150	4	features	feature	NOUN
esrj-39716	150	5	fc	fc	PROPN
esrj-39716	150	6	and	and	CCONJ
esrj-39716	150	7	fx	fx	PROPN
esrj-39716	150	8	represent	represent	VERB
esrj-39716	150	9	the	the	DET
esrj-39716	150	10	texture	texture	NOUN
esrj-39716	150	11	at	at	ADP
esrj-39716	150	12	determined	determined	ADJ
esrj-39716	150	13	frequencies	frequency	NOUN
esrj-39716	150	14	u	u	NOUN
esrj-39716	150	15	and	and	CCONJ
esrj-39716	150	16	orientations	orientation	NOUN
esrj-39716	150	17	v	v	VERB
esrj-39716	150	18	after	after	ADP
esrj-39716	150	19	filtering	filter	VERB
esrj-39716	150	20	by	by	ADP
esrj-39716	150	21	the	the	DET
esrj-39716	150	22	gabor	gabor	PROPN
esrj-39716	150	23	transformation	transformation	NOUN
esrj-39716	150	24	.	.	PUNCT
esrj-39716	151	1	some	some	PRON
esrj-39716	151	2	of	of	ADP
esrj-39716	151	3	the	the	DET
esrj-39716	151	4	frequency	frequency	NOUN
esrj-39716	151	5	-	-	PUNCT
esrj-39716	151	6	orientation	orientation	NOUN
esrj-39716	151	7	combinations	combination	NOUN
esrj-39716	151	8	will	will	AUX
esrj-39716	151	9	be	be	AUX
esrj-39716	151	10	more	more	ADV
esrj-39716	151	11	representative	representative	ADJ
esrj-39716	151	12	than	than	ADP
esrj-39716	151	13	others	other	NOUN
esrj-39716	151	14	,	,	PUNCT
esrj-39716	151	15	taking	take	VERB
esrj-39716	151	16	into	into	ADP
esrj-39716	151	17	account	account	NOUN
esrj-39716	151	18	that	that	SCONJ
esrj-39716	151	19	the	the	DET
esrj-39716	151	20	real	real	ADJ
esrj-39716	151	21	frequency	frequency	NOUN
esrj-39716	151	22	-	-	PUNCT
esrj-39716	151	23	rotation	rotation	NOUN
esrj-39716	151	24	of	of	ADP
esrj-39716	151	25	the	the	DET
esrj-39716	151	26	texture	texture	NOUN
esrj-39716	151	27	is	be	AUX
esrj-39716	151	28	adjusted	adjust	VERB
esrj-39716	151	29	to	to	ADP
esrj-39716	151	30	the	the	DET
esrj-39716	151	31	combination	combination	NOUN
esrj-39716	151	32	given	give	VERB
esrj-39716	151	33	by	by	ADP
esrj-39716	151	34	the	the	DET
esrj-39716	151	35	gabor	gabor	PROPN
esrj-39716	151	36	function	function	NOUN
esrj-39716	151	37	.	.	PUNCT
esrj-39716	152	1	the	the	DET
esrj-39716	152	2	analysis	analysis	NOUN
esrj-39716	152	3	of	of	ADP
esrj-39716	152	4	the	the	DET
esrj-39716	152	5	data	data	NOUN
esrj-39716	152	6	allows	allow	VERB
esrj-39716	152	7	an	an	DET
esrj-39716	152	8	image	image	NOUN
esrj-39716	152	9	to	to	PART
esrj-39716	152	10	be	be	AUX
esrj-39716	152	11	characterized	characterize	VERB
esrj-39716	152	12	using	use	VERB
esrj-39716	152	13	only	only	ADV
esrj-39716	152	14	a	a	DET
esrj-39716	152	15	small	small	ADJ
esrj-39716	152	16	set	set	NOUN
esrj-39716	152	17	of	of	ADP
esrj-39716	152	18	the	the	DET
esrj-39716	152	19	images	image	NOUN
esrj-39716	152	20	filtered	filter	VERB
esrj-39716	152	21	by	by	ADP
esrj-39716	152	22	gabor	gabor	NOUN
esrj-39716	152	23	filters	filter	NOUN
esrj-39716	152	24	.	.	PUNCT
esrj-39716	153	1	thus	thus	ADV
esrj-39716	153	2	,	,	PUNCT
esrj-39716	153	3	a	a	DET
esrj-39716	153	4	portion	portion	NOUN
esrj-39716	153	5	of	of	ADP
esrj-39716	153	6	the	the	DET
esrj-39716	153	7	data	datum	NOUN
esrj-39716	153	8	extracted	extract	VERB
esrj-39716	153	9	from	from	ADP
esrj-39716	153	10	and	and	CCONJ
esrj-39716	153	11	can	can	AUX
esrj-39716	153	12	be	be	AUX
esrj-39716	153	13	used	use	VERB
esrj-39716	153	14	for	for	ADP
esrj-39716	153	15	the	the	DET
esrj-39716	153	16	classification	classification	NOUN
esrj-39716	153	17	while	while	SCONJ
esrj-39716	153	18	the	the	DET
esrj-39716	153	19	other	other	ADJ
esrj-39716	153	20	portion	portion	NOUN
esrj-39716	153	21	is	be	AUX
esrj-39716	153	22	noise	noise	NOUN
esrj-39716	153	23	,	,	PUNCT
esrj-39716	153	24	making	make	VERB
esrj-39716	153	25	the	the	DET
esrj-39716	153	26	classification	classification	NOUN
esrj-39716	153	27	more	more	ADV
esrj-39716	153	28	difficult	difficult	ADJ
esrj-39716	153	29	.	.	PUNCT
esrj-39716	154	1	for	for	ADP
esrj-39716	154	2	this	this	DET
esrj-39716	154	3	reason	reason	NOUN
esrj-39716	154	4	,	,	PUNCT
esrj-39716	154	5	a	a	DET
esrj-39716	154	6	classification	classification	NOUN
esrj-39716	154	7	based	base	VERB
esrj-39716	154	8	on	on	ADP
esrj-39716	154	9	distances	distance	NOUN
esrj-39716	154	10	is	be	AUX
esrj-39716	154	11	used	use	VERB
esrj-39716	154	12	in	in	ADP
esrj-39716	154	13	this	this	DET
esrj-39716	154	14	model	model	NOUN
esrj-39716	154	15	,	,	PUNCT
esrj-39716	154	16	following	follow	VERB
esrj-39716	154	17	heuristic	heuristic	ADJ
esrj-39716	154	18	rules	rule	NOUN
esrj-39716	154	19	to	to	PART
esrj-39716	154	20	use	use	VERB
esrj-39716	154	21	the	the	DET
esrj-39716	154	22	most	most	ADV
esrj-39716	154	23	representative	representative	ADJ
esrj-39716	154	24	features	feature	NOUN
esrj-39716	154	25	.	.	PUNCT
esrj-39716	155	1	two	two	NUM
esrj-39716	155	2	approaches	approach	NOUN
esrj-39716	155	3	for	for	ADP
esrj-39716	155	4	the	the	DET
esrj-39716	155	5	estimation	estimation	NOUN
esrj-39716	155	6	of	of	ADP
esrj-39716	155	7	the	the	DET
esrj-39716	155	8	depth	depth	NOUN
esrj-39716	155	9	d	d	NOUN
esrj-39716	155	10	by	by	ADP
esrj-39716	155	11	the	the	DET
esrj-39716	155	12	classification	classification	NOUN
esrj-39716	155	13	of	of	ADP
esrj-39716	155	14	a	a	DET
esrj-39716	155	15	caving	caving	NOUN
esrj-39716	155	16	are	be	AUX
esrj-39716	155	17	proposed	propose	VERB
esrj-39716	155	18	.	.	PUNCT
esrj-39716	156	1	2.3	2.3	NUM
esrj-39716	156	2	.	.	PUNCT
esrj-39716	156	3	classification	classification	NOUN
esrj-39716	156	4	based	base	VERB
esrj-39716	156	5	on	on	ADP
esrj-39716	156	6	a	a	DET
esrj-39716	156	7	hard	hard	ADJ
esrj-39716	156	8	thresholding	thresholding	NOUN
esrj-39716	156	9	in	in	ADP
esrj-39716	156	10	this	this	DET
esrj-39716	156	11	approach	approach	NOUN
esrj-39716	156	12	,	,	PUNCT
esrj-39716	156	13	the	the	DET
esrj-39716	156	14	goal	goal	NOUN
esrj-39716	156	15	is	be	AUX
esrj-39716	156	16	to	to	PART
esrj-39716	156	17	find	find	VERB
esrj-39716	156	18	the	the	DET
esrj-39716	156	19	subset	subset	NOUN
esrj-39716	156	20	of	of	ADP
esrj-39716	156	21	feature	feature	NOUN
esrj-39716	156	22	vectors	vector	NOUN
esrj-39716	156	23	that	that	PRON
esrj-39716	156	24	determines	determine	VERB
esrj-39716	156	25	the	the	DET
esrj-39716	156	26	texture	texture	NOUN
esrj-39716	156	27	of	of	ADP
esrj-39716	156	28	an	an	DET
esrj-39716	156	29	image	image	NOUN
esrj-39716	156	30	.	.	PUNCT
esrj-39716	157	1	each	each	DET
esrj-39716	157	2	feature	feature	NOUN
esrj-39716	157	3	matrix	matrix	NOUN
esrj-39716	157	4	of	of	ADP
esrj-39716	157	5	the	the	DET
esrj-39716	157	6	training	training	NOUN
esrj-39716	157	7	classes	class	NOUN
esrj-39716	157	8	is	be	AUX
esrj-39716	157	9	compared	compare	VERB
esrj-39716	157	10	with	with	ADP
esrj-39716	157	11	the	the	DET
esrj-39716	157	12	feature	feature	NOUN
esrj-39716	157	13	matrix	matrix	NOUN
esrj-39716	157	14	of	of	ADP
esrj-39716	157	15	a	a	DET
esrj-39716	157	16	test	test	NOUN
esrj-39716	157	17	image	image	NOUN
esrj-39716	157	18	.	.	PUNCT
esrj-39716	158	1	a	a	DET
esrj-39716	158	2	sum	sum	NOUN
esrj-39716	158	3	of	of	ADP
esrj-39716	158	4	the	the	DET
esrj-39716	158	5	differences	difference	NOUN
esrj-39716	158	6	of	of	ADP
esrj-39716	158	7	the	the	DET
esrj-39716	158	8	matrices	matrix	NOUN
esrj-39716	158	9	for	for	ADP
esrj-39716	158	10	small	small	ADJ
esrj-39716	158	11	distances	distance	NOUN
esrj-39716	158	12	is	be	AUX
esrj-39716	158	13	calculated	calculate	VERB
esrj-39716	158	14	.	.	PUNCT
esrj-39716	159	1	to	to	PART
esrj-39716	159	2	calculate	calculate	VERB
esrj-39716	159	3	those	those	DET
esrj-39716	159	4	distances	distance	NOUN
esrj-39716	159	5	and	and	CCONJ
esrj-39716	159	6	to	to	PART
esrj-39716	159	7	make	make	VERB
esrj-39716	159	8	a	a	DET
esrj-39716	159	9	decision	decision	NOUN
esrj-39716	159	10	related	relate	VERB
esrj-39716	159	11	to	to	ADP
esrj-39716	159	12	the	the	DET
esrj-39716	159	13	similarity	similarity	NOUN
esrj-39716	159	14	among	among	ADP
esrj-39716	159	15	vectors	vector	NOUN
esrj-39716	159	16	,	,	PUNCT
esrj-39716	159	17	a	a	DET
esrj-39716	159	18	threshold	threshold	NOUN
esrj-39716	159	19	is	be	AUX
esrj-39716	159	20	included	include	VERB
esrj-39716	159	21	in	in	ADP
esrj-39716	159	22	the	the	DET
esrj-39716	159	23	model	model	NOUN
esrj-39716	159	24	.	.	PUNCT
esrj-39716	160	1	this	this	DET
esrj-39716	160	2	threshold	threshold	NOUN
esrj-39716	160	3	τ	τ	PROPN
esrj-39716	160	4	is	be	AUX
esrj-39716	160	5	estimated	estimate	VERB
esrj-39716	160	6	using	use	VERB
esrj-39716	160	7	the	the	DET
esrj-39716	160	8	training	training	NOUN
esrj-39716	160	9	set	set	NOUN
esrj-39716	160	10	of	of	ADP
esrj-39716	160	11	images	image	NOUN
esrj-39716	160	12	.	.	PUNCT
esrj-39716	161	1	the	the	DET
esrj-39716	161	2	distances	distance	NOUN
esrj-39716	161	3	in	in	ADP
esrj-39716	161	4	this	this	DET
esrj-39716	161	5	approach	approach	NOUN
esrj-39716	161	6	are	be	AUX
esrj-39716	161	7	given	give	VERB
esrj-39716	161	8	by	by	ADP
esrj-39716	161	9	:	:	PUNCT
esrj-39716	161	10	(	(	PUNCT
esrj-39716	161	11	17	17	NUM
esrj-39716	161	12	)	)	PUNCT
esrj-39716	161	13	for	for	ADP
esrj-39716	161	14	h	h	NOUN
esrj-39716	161	15	=	=	SYM
esrj-39716	161	16	0	0	NUM
esrj-39716	161	17	,	,	PUNCT
esrj-39716	161	18	…	…	PUNCT
esrj-39716	161	19	,	,	PUNCT
esrj-39716	161	20	h	h	NOUN
esrj-39716	161	21	‒	‒	ADP
esrj-39716	161	22	1	1	NUM
esrj-39716	161	23	;	;	PUNCT
esrj-39716	161	24	ℓ	ℓ	X
esrj-39716	161	25	=	=	SYM
esrj-39716	161	26	0	0	NUM
esrj-39716	161	27	,	,	PUNCT
esrj-39716	161	28	…	…	PUNCT
esrj-39716	161	29	,	,	PUNCT
esrj-39716	161	30	uvh	uvh	X
esrj-39716	161	31	‒	‒	X
esrj-39716	161	32	1	1	NUM
esrj-39716	161	33	and	and	CCONJ
esrj-39716	161	34	.	.	PUNCT
esrj-39716	162	1	then	then	ADV
esrj-39716	162	2	,	,	PUNCT
esrj-39716	162	3	the	the	DET
esrj-39716	162	4	maximum	maximum	ADJ
esrj-39716	162	5	value	value	NOUN
esrj-39716	162	6	for	for	ADP
esrj-39716	162	7	similar	similar	ADJ
esrj-39716	162	8	features	feature	NOUN
esrj-39716	162	9	present	present	ADJ
esrj-39716	162	10	in	in	ADP
esrj-39716	162	11	is	be	AUX
esrj-39716	162	12	used	use	VERB
esrj-39716	162	13	for	for	ADP
esrj-39716	162	14	the	the	DET
esrj-39716	162	15	classification	classification	NOUN
esrj-39716	162	16	,	,	PUNCT
esrj-39716	162	17	and	and	CCONJ
esrj-39716	162	18	this	this	DET
esrj-39716	162	19	selection	selection	NOUN
esrj-39716	162	20	can	can	AUX
esrj-39716	162	21	be	be	AUX
esrj-39716	162	22	represented	represent	VERB
esrj-39716	162	23	as	as	ADP
esrj-39716	162	24	rc	rc	PROPN
esrj-39716	162	25	=	=	PROPN
esrj-39716	162	26	maxh	maxh	PROPN
esrj-39716	162	27	maxℓ	maxℓ	NOUN
esrj-39716	162	28	(	(	PUNCT
esrj-39716	162	29	sc	sc	PROPN
esrj-39716	162	30	)	)	PUNCT
esrj-39716	162	31	ℓ,h	ℓ,h	PROPN
esrj-39716	162	32	(	(	PUNCT
esrj-39716	162	33	18	18	NUM
esrj-39716	162	34	)	)	PUNCT
esrj-39716	162	35	to	to	PART
esrj-39716	162	36	make	make	VERB
esrj-39716	162	37	the	the	DET
esrj-39716	162	38	decision	decision	NOUN
esrj-39716	162	39	,	,	PUNCT
esrj-39716	162	40	the	the	DET
esrj-39716	162	41	training	training	NOUN
esrj-39716	162	42	set	set	NOUN
esrj-39716	162	43	class	class	NOUN
esrj-39716	162	44	with	with	ADP
esrj-39716	162	45	the	the	DET
esrj-39716	162	46	greater	great	ADJ
esrj-39716	162	47	number	number	NOUN
esrj-39716	162	48	of	of	ADP
esrj-39716	162	49	similar	similar	ADJ
esrj-39716	162	50	feature	feature	NOUN
esrj-39716	162	51	sets	set	NOUN
esrj-39716	162	52	is	be	AUX
esrj-39716	162	53	established	establish	VERB
esrj-39716	162	54	as	as	ADP
esrj-39716	162	55	the	the	DET
esrj-39716	162	56	class	class	NOUN
esrj-39716	162	57	to	to	PART
esrj-39716	162	58	which	which	PRON
esrj-39716	162	59	the	the	DET
esrj-39716	162	60	test	test	NOUN
esrj-39716	162	61	image	image	NOUN
esrj-39716	162	62	belongs	belong	VERB
esrj-39716	162	63	.	.	PUNCT
esrj-39716	163	1	this	this	DET
esrj-39716	163	2	decision	decision	NOUN
esrj-39716	163	3	is	be	AUX
esrj-39716	163	4	given	give	VERB
esrj-39716	163	5	by	by	ADP
esrj-39716	163	6	the	the	DET
esrj-39716	163	7	comparison	comparison	NOUN
esrj-39716	163	8	among	among	ADP
esrj-39716	163	9	the	the	DET
esrj-39716	163	10	rc	rc	PROPN
esrj-39716	163	11	of	of	ADP
esrj-39716	163	12	the	the	DET
esrj-39716	163	13	possible	possible	ADJ
esrj-39716	163	14	classes	class	NOUN
esrj-39716	163	15	and	and	CCONJ
esrj-39716	163	16	is	be	AUX
esrj-39716	163	17	defined	define	VERB
esrj-39716	163	18	as	as	ADP
esrj-39716	163	19	:	:	PUNCT
esrj-39716	163	20	class	class	NOUN
esrj-39716	163	21	=	=	SYM
esrj-39716	163	22	maxc	maxc	NOUN
esrj-39716	163	23	r	r	NOUN
esrj-39716	163	24	c	c	NOUN
esrj-39716	163	25	(	(	PUNCT
esrj-39716	163	26	19	19	NUM
esrj-39716	163	27	)	)	PUNCT
esrj-39716	163	28	2.4	2.4	NUM
esrj-39716	163	29	.	.	PUNCT
esrj-39716	164	1	classification	classification	NOUN
esrj-39716	164	2	based	base	VERB
esrj-39716	164	3	on	on	ADP
esrj-39716	164	4	the	the	DET
esrj-39716	164	5	euclidean	euclidean	ADJ
esrj-39716	164	6	norm	norm	NOUN
esrj-39716	164	7	(	(	PUNCT
esrj-39716	164	8	ℓ2	ℓ2	NOUN
esrj-39716	164	9	)	)	PUNCT
esrj-39716	164	10	instead	instead	ADV
esrj-39716	164	11	of	of	ADP
esrj-39716	164	12	the	the	DET
esrj-39716	164	13	sum	sum	NOUN
esrj-39716	164	14	presented	present	VERB
esrj-39716	164	15	with	with	ADP
esrj-39716	164	16	the	the	DET
esrj-39716	164	17	previous	previous	ADJ
esrj-39716	164	18	approach	approach	NOUN
esrj-39716	164	19	,	,	PUNCT
esrj-39716	164	20	this	this	DET
esrj-39716	164	21	method	method	NOUN
esrj-39716	164	22	uses	use	VERB
esrj-39716	164	23	the	the	DET
esrj-39716	164	24	distances	distance	NOUN
esrj-39716	164	25	between	between	ADP
esrj-39716	164	26	vectors	vector	NOUN
esrj-39716	164	27	.	.	PUNCT
esrj-39716	165	1	to	to	PART
esrj-39716	165	2	calculate	calculate	VERB
esrj-39716	165	3	those	those	DET
esrj-39716	165	4	distances	distance	NOUN
esrj-39716	165	5	,	,	PUNCT
esrj-39716	165	6	is	be	AUX
esrj-39716	165	7	calculated	calculate	VERB
esrj-39716	165	8	as	as	ADP
esrj-39716	165	9	:	:	PUNCT
esrj-39716	165	10	(	(	PUNCT
esrj-39716	165	11	20	20	NUM
esrj-39716	165	12	)	)	PUNCT
esrj-39716	165	13	for	for	ADP
esrj-39716	165	14	h	h	NOUN
esrj-39716	165	15	=	=	SYM
esrj-39716	165	16	0	0	NUM
esrj-39716	165	17	,	,	PUNCT
esrj-39716	165	18	…	…	PUNCT
esrj-39716	165	19	,	,	PUNCT
esrj-39716	165	20	h	h	NOUN
esrj-39716	165	21	‒	‒	ADP
esrj-39716	165	22	1	1	NUM
esrj-39716	165	23	;	;	PUNCT
esrj-39716	165	24	ℓ	ℓ	X
esrj-39716	165	25	=	=	SYM
esrj-39716	165	26	0	0	NUM
esrj-39716	165	27	,	,	PUNCT
esrj-39716	165	28	…	…	PUNCT
esrj-39716	165	29	,	,	PUNCT
esrj-39716	165	30	uvh	uvh	X
esrj-39716	165	31	‒	‒	X
esrj-39716	165	32	1	1	NUM
esrj-39716	165	33	and	and	CCONJ
esrj-39716	165	34	.	.	PUNCT
esrj-39716	166	1	the	the	DET
esrj-39716	166	2	matrix	matrix	NOUN
esrj-39716	166	3	contains	contain	VERB
esrj-39716	166	4	the	the	DET
esrj-39716	166	5	minimum	minimum	ADJ
esrj-39716	166	6	distances	distance	NOUN
esrj-39716	166	7	between	between	ADP
esrj-39716	166	8	the	the	DET
esrj-39716	166	9	features	feature	NOUN
esrj-39716	166	10	in	in	ADP
esrj-39716	166	11	the	the	DET
esrj-39716	166	12	training	training	NOUN
esrj-39716	166	13	and	and	CCONJ
esrj-39716	166	14	test	test	NOUN
esrj-39716	166	15	images	image	NOUN
esrj-39716	166	16	,	,	PUNCT
esrj-39716	166	17	and	and	CCONJ
esrj-39716	166	18	those	those	DET
esrj-39716	166	19	minimum	minimum	ADJ
esrj-39716	166	20	distances	distance	NOUN
esrj-39716	166	21	characterize	characterize	VERB
esrj-39716	166	22	each	each	DET
esrj-39716	166	23	subimage	subimage	NOUN
esrj-39716	166	24	and	and	CCONJ
esrj-39716	166	25	image	image	NOUN
esrj-39716	166	26	,	,	PUNCT
esrj-39716	166	27	respectively	respectively	ADV
esrj-39716	166	28	.	.	PUNCT
esrj-39716	167	1	to	to	PART
esrj-39716	167	2	use	use	VERB
esrj-39716	167	3	the	the	DET
esrj-39716	167	4	most	most	ADV
esrj-39716	167	5	representative	representative	ADJ
esrj-39716	167	6	distances	distance	NOUN
esrj-39716	167	7	,	,	PUNCT
esrj-39716	167	8	a	a	DET
esrj-39716	167	9	distance	distance	NOUN
esrj-39716	167	10	per	per	ADP
esrj-39716	167	11	class	class	NOUN
esrj-39716	167	12	is	be	AUX
esrj-39716	167	13	obtained	obtain	VERB
esrj-39716	167	14	by	by	ADP
esrj-39716	167	15	rc	rc	PROPN
esrj-39716	167	16	=	=	PROPN
esrj-39716	167	17	minh	minh	NOUN
esrj-39716	167	18	minℓ(sc	minℓ(sc	NOUN
esrj-39716	167	19	)	)	PUNCT
esrj-39716	167	20	ℓ,h	ℓ,h	PROPN
esrj-39716	167	21	(	(	PUNCT
esrj-39716	167	22	21	21	NUM
esrj-39716	167	23	)	)	PUNCT
esrj-39716	167	24	for	for	ADP
esrj-39716	167	25	comparison	comparison	NOUN
esrj-39716	167	26	among	among	ADP
esrj-39716	167	27	classes	class	NOUN
esrj-39716	167	28	,	,	PUNCT
esrj-39716	167	29	the	the	DET
esrj-39716	167	30	distances	distance	NOUN
esrj-39716	167	31	between	between	ADP
esrj-39716	167	32	the	the	DET
esrj-39716	167	33	classes	class	NOUN
esrj-39716	167	34	are	be	AUX
esrj-39716	167	35	evaluated	evaluate	VERB
esrj-39716	167	36	and	and	CCONJ
esrj-39716	167	37	the	the	DET
esrj-39716	167	38	class	class	NOUN
esrj-39716	167	39	with	with	ADP
esrj-39716	167	40	the	the	DET
esrj-39716	167	41	minimum	minimum	ADJ
esrj-39716	167	42	distance	distance	NOUN
esrj-39716	167	43	is	be	AUX
esrj-39716	167	44	selected	select	VERB
esrj-39716	167	45	as	as	ADP
esrj-39716	167	46	the	the	DET
esrj-39716	167	47	class	class	NOUN
esrj-39716	167	48	to	to	PART
esrj-39716	167	49	which	which	PRON
esrj-39716	167	50	the	the	DET
esrj-39716	167	51	test	test	NOUN
esrj-39716	167	52	image	image	NOUN
esrj-39716	167	53	belongs	belong	VERB
esrj-39716	167	54	.	.	PUNCT
esrj-39716	168	1	this	this	DET
esrj-39716	168	2	decision	decision	NOUN
esrj-39716	168	3	is	be	AUX
esrj-39716	168	4	given	give	VERB
esrj-39716	168	5	by	by	ADP
esrj-39716	168	6	the	the	DET
esrj-39716	168	7	evaluation	evaluation	NOUN
esrj-39716	168	8	of	of	ADP
esrj-39716	168	9	the	the	DET
esrj-39716	168	10	distances	distance	NOUN
esrj-39716	168	11	rc	rc	PROPN
esrj-39716	168	12	as	as	ADP
esrj-39716	168	13	:	:	PUNCT
esrj-39716	168	14	class	class	NOUN
esrj-39716	168	15	=	=	SYM
esrj-39716	168	16	minc	minc	PROPN
esrj-39716	168	17	r	r	NOUN
esrj-39716	168	18	c	c	PROPN
esrj-39716	168	19	(	(	PUNCT
esrj-39716	168	20	22	22	NUM
esrj-39716	168	21	)	)	PUNCT
esrj-39716	168	22	finally	finally	ADV
esrj-39716	168	23	,	,	PUNCT
esrj-39716	168	24	weight	weight	NOUN
esrj-39716	168	25	can	can	AUX
esrj-39716	168	26	be	be	AUX
esrj-39716	168	27	applied	apply	VERB
esrj-39716	168	28	in	in	ADP
esrj-39716	168	29	the	the	DET
esrj-39716	168	30	model	model	NOUN
esrj-39716	168	31	to	to	PART
esrj-39716	168	32	give	give	VERB
esrj-39716	168	33	more	more	ADJ
esrj-39716	168	34	importance	importance	NOUN
esrj-39716	168	35	to	to	ADP
esrj-39716	168	36	some	some	PRON
esrj-39716	168	37	of	of	ADP
esrj-39716	168	38	the	the	DET
esrj-39716	168	39	features	feature	NOUN
esrj-39716	168	40	.	.	PUNCT
esrj-39716	169	1	to	to	PART
esrj-39716	169	2	apply	apply	VERB
esrj-39716	169	3	this	this	DET
esrj-39716	169	4	weight	weight	NOUN
esrj-39716	169	5	,	,	PUNCT
esrj-39716	169	6	a	a	DET
esrj-39716	169	7	vector	vector	NOUN
esrj-39716	169	8	ω	ω	PROPN
esrj-39716	169	9	with	with	ADP
esrj-39716	169	10	the	the	DET
esrj-39716	169	11	weights	weight	NOUN
esrj-39716	169	12	is	be	AUX
esrj-39716	169	13	applied	apply	VERB
esrj-39716	169	14	to	to	ADP
esrj-39716	169	15	the	the	DET
esrj-39716	169	16	feature	feature	NOUN
esrj-39716	169	17	vector	vector	NOUN
esrj-39716	169	18	before	before	ADP
esrj-39716	169	19	the	the	DET
esrj-39716	169	20	comparisons	comparison	NOUN
esrj-39716	169	21	in	in	ADP
esrj-39716	169	22	equations	equation	NOUN
esrj-39716	169	23	(	(	PUNCT
esrj-39716	169	24	17	17	NUM
esrj-39716	169	25	)	)	PUNCT
esrj-39716	169	26	and	and	CCONJ
esrj-39716	169	27	(	(	PUNCT
esrj-39716	169	28	20	20	NUM
esrj-39716	169	29	)	)	PUNCT
esrj-39716	169	30	.	.	PUNCT
esrj-39716	170	1	then	then	ADV
esrj-39716	170	2	,	,	PUNCT
esrj-39716	170	3	the	the	DET
esrj-39716	170	4	vector	vector	NOUN
esrj-39716	170	5	ω	ω	PROPN
esrj-39716	170	6	can	can	AUX
esrj-39716	170	7	be	be	AUX
esrj-39716	170	8	expressed	express	VERB
esrj-39716	170	9	as	as	ADP
esrj-39716	170	10	a	a	DET
esrj-39716	170	11	function	function	NOUN
esrj-39716	170	12	of	of	ADP
esrj-39716	170	13	the	the	DET
esrj-39716	170	14	weights	weight	NOUN
esrj-39716	170	15	,	,	PUNCT
esrj-39716	170	16	ω	ω	NOUN
esrj-39716	170	17	=	=	PUNCT
esrj-39716	171	1	[	[	X
esrj-39716	171	2	ω1	ω1	PROPN
esrj-39716	171	3	,	,	PUNCT
esrj-39716	171	4	…	…	PUNCT
esrj-39716	171	5	,	,	PUNCT
esrj-39716	171	6	ωk	ωk	ADP
esrj-39716	171	7	]	]	PUNCT
esrj-39716	171	8	.	.	PUNCT
esrj-39716	172	1	given	give	VERB
esrj-39716	172	2	the	the	DET
esrj-39716	172	3	images	image	NOUN
esrj-39716	172	4	of	of	ADP
esrj-39716	172	5	the	the	DET
esrj-39716	172	6	test	test	NOUN
esrj-39716	172	7	set	set	NOUN
esrj-39716	172	8	,	,	PUNCT
esrj-39716	172	9	the	the	DET
esrj-39716	172	10	accuracy	accuracy	NOUN
esrj-39716	172	11	of	of	ADP
esrj-39716	172	12	each	each	PRON
esrj-39716	172	13	of	of	ADP
esrj-39716	172	14	the	the	DET
esrj-39716	172	15	approaches	approach	NOUN
esrj-39716	172	16	is	be	AUX
esrj-39716	172	17	calculated	calculate	VERB
esrj-39716	172	18	as	as	ADP
esrj-39716	172	19	the	the	DET
esrj-39716	172	20	sum	sum	NOUN
esrj-39716	172	21	of	of	ADP
esrj-39716	172	22	the	the	DET
esrj-39716	172	23	successful	successful	ADJ
esrj-39716	172	24	classifications	classification	NOUN
esrj-39716	172	25	over	over	ADP
esrj-39716	172	26	the	the	DET
esrj-39716	172	27	number	number	NOUN
esrj-39716	172	28	of	of	ADP
esrj-39716	172	29	evaluations	evaluation	NOUN
esrj-39716	172	30	,	,	PUNCT
esrj-39716	172	31	which	which	PRON
esrj-39716	172	32	consists	consist	VERB
esrj-39716	172	33	of	of	ADP
esrj-39716	172	34	the	the	DET
esrj-39716	172	35	evaluation	evaluation	NOUN
esrj-39716	172	36	of	of	ADP
esrj-39716	172	37	the	the	DET
esrj-39716	172	38	l	l	NOUN
esrj-39716	172	39	images	image	NOUN
esrj-39716	172	40	in	in	ADP
esrj-39716	172	41	the	the	DET
esrj-39716	172	42	test	test	NOUN
esrj-39716	172	43	set	set	VERB
esrj-39716	172	44	in	in	ADP
esrj-39716	172	45	this	this	DET
esrj-39716	172	46	case	case	NOUN
esrj-39716	172	47	.	.	PUNCT
esrj-39716	173	1	the	the	DET
esrj-39716	173	2	equations	equation	NOUN
esrj-39716	173	3	for	for	ADP
esrj-39716	173	4	the	the	DET
esrj-39716	173	5	calculation	calculation	NOUN
esrj-39716	173	6	of	of	ADP
esrj-39716	173	7	the	the	DET
esrj-39716	173	8	performance	performance	NOUN
esrj-39716	173	9	are	be	AUX
esrj-39716	173	10	(	(	PUNCT
esrj-39716	173	11	23	23	NUM
esrj-39716	173	12	)	)	PUNCT
esrj-39716	173	13	161caving	161caving	NOUN
esrj-39716	173	14	depth	depth	NOUN
esrj-39716	173	15	classification	classification	NOUN
esrj-39716	173	16	by	by	ADP
esrj-39716	173	17	feature	feature	NOUN
esrj-39716	173	18	extraction	extraction	NOUN
esrj-39716	173	19	in	in	ADP
esrj-39716	173	20	cuttings	cutting	NOUN
esrj-39716	173	21	images	image	VERB
esrj-39716	173	22	3	3	NUM
esrj-39716	173	23	.	.	PUNCT
esrj-39716	173	24	experimental	experimental	ADJ
esrj-39716	173	25	setup	setup	NOUN
esrj-39716	173	26	to	to	PART
esrj-39716	173	27	evaluate	evaluate	VERB
esrj-39716	173	28	the	the	DET
esrj-39716	173	29	efficiency	efficiency	NOUN
esrj-39716	173	30	of	of	ADP
esrj-39716	173	31	the	the	DET
esrj-39716	173	32	presented	present	VERB
esrj-39716	173	33	model	model	NOUN
esrj-39716	173	34	,	,	PUNCT
esrj-39716	173	35	rock	rock	NOUN
esrj-39716	173	36	samples	sample	NOUN
esrj-39716	173	37	extracted	extract	VERB
esrj-39716	173	38	from	from	ADP
esrj-39716	173	39	a	a	DET
esrj-39716	173	40	wellbore	wellbore	NOUN
esrj-39716	173	41	in	in	ADP
esrj-39716	173	42	a	a	DET
esrj-39716	173	43	colombian	colombian	ADJ
esrj-39716	173	44	basin	basin	NOUN
esrj-39716	173	45	were	be	AUX
esrj-39716	173	46	used	use	VERB
esrj-39716	173	47	.	.	PUNCT
esrj-39716	174	1	cuttings	cutting	NOUN
esrj-39716	174	2	from	from	ADP
esrj-39716	174	3	depths	depth	NOUN
esrj-39716	174	4	between	between	ADP
esrj-39716	174	5	1371.6	1371.6	NUM
esrj-39716	174	6	and	and	CCONJ
esrj-39716	174	7	3825.54	3825.54	NUM
esrj-39716	174	8	meters	meter	NOUN
esrj-39716	174	9	(	(	PUNCT
esrj-39716	174	10	4500	4500	NUM
esrj-39716	174	11	-	-	SYM
esrj-39716	174	12	12550	12550	NUM
esrj-39716	174	13	ft	ft	NOUN
esrj-39716	174	14	)	)	PUNCT
esrj-39716	174	15	were	be	AUX
esrj-39716	174	16	acquired	acquire	VERB
esrj-39716	174	17	via	via	ADP
esrj-39716	174	18	realtime	realtime	NOUN
esrj-39716	174	19	monitoring	monitoring	NOUN
esrj-39716	174	20	by	by	ADP
esrj-39716	174	21	the	the	DET
esrj-39716	174	22	colombian	colombian	ADJ
esrj-39716	174	23	petroleum	petroleum	PROPN
esrj-39716	174	24	institute	institute	PROPN
esrj-39716	174	25	(	(	PUNCT
esrj-39716	174	26	icp	icp	PROPN
esrj-39716	174	27	)	)	PUNCT
esrj-39716	174	28	.	.	PUNCT
esrj-39716	175	1	to	to	PART
esrj-39716	175	2	facilitate	facilitate	VERB
esrj-39716	175	3	the	the	DET
esrj-39716	175	4	process	process	NOUN
esrj-39716	175	5	of	of	ADP
esrj-39716	175	6	acquisition	acquisition	NOUN
esrj-39716	175	7	and	and	CCONJ
esrj-39716	175	8	reduce	reduce	VERB
esrj-39716	175	9	uncertainty	uncertainty	NOUN
esrj-39716	175	10	,	,	PUNCT
esrj-39716	175	11	specimens	specimen	NOUN
esrj-39716	175	12	were	be	AUX
esrj-39716	175	13	created	create	VERB
esrj-39716	175	14	in	in	ADP
esrj-39716	175	15	an	an	DET
esrj-39716	175	16	icp	icp	PROPN
esrj-39716	175	17	laboratory	laboratory	NOUN
esrj-39716	175	18	containing	contain	VERB
esrj-39716	175	19	samples	sample	NOUN
esrj-39716	175	20	of	of	ADP
esrj-39716	175	21	cuttings	cutting	NOUN
esrj-39716	175	22	and	and	CCONJ
esrj-39716	175	23	caving	cave	VERB
esrj-39716	175	24	materials	material	NOUN
esrj-39716	175	25	.	.	PUNCT
esrj-39716	176	1	images	image	NOUN
esrj-39716	176	2	of	of	ADP
esrj-39716	176	3	some	some	DET
esrj-39716	176	4	samples	sample	NOUN
esrj-39716	176	5	are	be	AUX
esrj-39716	176	6	presented	present	VERB
esrj-39716	176	7	in	in	ADP
esrj-39716	176	8	figure	figure	NOUN
esrj-39716	176	9	3	3	NUM
esrj-39716	176	10	.	.	PUNCT
esrj-39716	176	11	figure	figure	NOUN
esrj-39716	176	12	3	3	NUM
esrj-39716	176	13	.	.	PUNCT
esrj-39716	177	1	real	real	ADJ
esrj-39716	177	2	cuttings	cutting	NOUN
esrj-39716	177	3	samples	sample	NOUN
esrj-39716	177	4	selected	select	VERB
esrj-39716	177	5	for	for	ADP
esrj-39716	177	6	creation	creation	NOUN
esrj-39716	177	7	of	of	ADP
esrj-39716	177	8	specimens	specimens	PROPN
esrj-39716	177	9	.	.	PUNCT
esrj-39716	178	1	for	for	ADP
esrj-39716	178	2	the	the	DET
esrj-39716	178	3	preparation	preparation	NOUN
esrj-39716	178	4	of	of	ADP
esrj-39716	178	5	the	the	DET
esrj-39716	178	6	specimens	specimen	NOUN
esrj-39716	178	7	,	,	PUNCT
esrj-39716	178	8	the	the	DET
esrj-39716	178	9	rock	rock	NOUN
esrj-39716	178	10	samples	sample	NOUN
esrj-39716	178	11	were	be	AUX
esrj-39716	178	12	placed	place	VERB
esrj-39716	178	13	in	in	ADP
esrj-39716	178	14	a	a	DET
esrj-39716	178	15	metallic	metallic	ADJ
esrj-39716	178	16	mold	mold	NOUN
esrj-39716	178	17	lined	line	VERB
esrj-39716	178	18	with	with	ADP
esrj-39716	178	19	vacuum	vacuum	NOUN
esrj-39716	178	20	grease	grease	NOUN
esrj-39716	178	21	or	or	CCONJ
esrj-39716	178	22	acrylic	acrylic	NOUN
esrj-39716	178	23	.	.	PUNCT
esrj-39716	179	1	a	a	DET
esrj-39716	179	2	mixture	mixture	NOUN
esrj-39716	179	3	of	of	ADP
esrj-39716	179	4	resin	resin	NOUN
esrj-39716	179	5	and	and	CCONJ
esrj-39716	179	6	hardening	harden	VERB
esrj-39716	179	7	in	in	ADP
esrj-39716	179	8	a	a	DET
esrj-39716	179	9	ratio	ratio	NOUN
esrj-39716	179	10	of	of	ADP
esrj-39716	179	11	1	1	NUM
esrj-39716	179	12	to	to	PART
esrj-39716	179	13	2	2	NUM
esrj-39716	179	14	grams	gram	NOUN
esrj-39716	179	15	was	be	AUX
esrj-39716	179	16	added	add	VERB
esrj-39716	179	17	and	and	CCONJ
esrj-39716	179	18	allowed	allow	VERB
esrj-39716	179	19	to	to	PART
esrj-39716	179	20	dry	dry	VERB
esrj-39716	179	21	.	.	PUNCT
esrj-39716	180	1	when	when	SCONJ
esrj-39716	180	2	the	the	DET
esrj-39716	180	3	specimen	speciman	NOUN
esrj-39716	180	4	was	be	AUX
esrj-39716	180	5	completely	completely	ADV
esrj-39716	180	6	hardened	harden	VERB
esrj-39716	180	7	,	,	PUNCT
esrj-39716	180	8	it	it	PRON
esrj-39716	180	9	was	be	AUX
esrj-39716	180	10	extracted	extract	VERB
esrj-39716	180	11	from	from	ADP
esrj-39716	180	12	the	the	DET
esrj-39716	180	13	mold	mold	NOUN
esrj-39716	180	14	.	.	PUNCT
esrj-39716	181	1	finally	finally	ADV
esrj-39716	181	2	,	,	PUNCT
esrj-39716	181	3	the	the	DET
esrj-39716	181	4	surface	surface	NOUN
esrj-39716	181	5	was	be	AUX
esrj-39716	181	6	polished	polish	VERB
esrj-39716	181	7	until	until	SCONJ
esrj-39716	181	8	the	the	DET
esrj-39716	181	9	visible	visible	ADJ
esrj-39716	181	10	area	area	NOUN
esrj-39716	181	11	of	of	ADP
esrj-39716	181	12	the	the	DET
esrj-39716	181	13	sample	sample	NOUN
esrj-39716	181	14	surface	surface	NOUN
esrj-39716	181	15	was	be	AUX
esrj-39716	181	16	maximized	maximize	VERB
esrj-39716	181	17	.	.	PUNCT
esrj-39716	182	1	figure	figure	NOUN
esrj-39716	182	2	4	4	NUM
esrj-39716	182	3	shows	show	VERB
esrj-39716	182	4	the	the	DET
esrj-39716	182	5	process	process	NOUN
esrj-39716	182	6	used	use	VERB
esrj-39716	182	7	to	to	PART
esrj-39716	182	8	generate	generate	VERB
esrj-39716	182	9	specimens	specimen	NOUN
esrj-39716	182	10	.	.	PUNCT
esrj-39716	182	11	figure	figure	NOUN
esrj-39716	182	12	4	4	NUM
esrj-39716	182	13	.	.	PUNCT
esrj-39716	183	1	specimen	speciman	NOUN
esrj-39716	183	2	preparation	preparation	NOUN
esrj-39716	183	3	.	.	PUNCT
esrj-39716	184	1	the	the	DET
esrj-39716	184	2	rock	rock	NOUN
esrj-39716	184	3	samples	sample	NOUN
esrj-39716	184	4	are	be	AUX
esrj-39716	184	5	placed	place	VERB
esrj-39716	184	6	into	into	ADP
esrj-39716	184	7	a	a	DET
esrj-39716	184	8	mold	mold	NOUN
esrj-39716	184	9	lined	line	VERB
esrj-39716	184	10	with	with	ADP
esrj-39716	184	11	acrylic	acrylic	NOUN
esrj-39716	184	12	,	,	PUNCT
esrj-39716	184	13	and	and	CCONJ
esrj-39716	184	14	a	a	DET
esrj-39716	184	15	resin	resin	NOUN
esrj-39716	184	16	-	-	PUNCT
esrj-39716	184	17	hardener	hardener	NOUN
esrj-39716	184	18	is	be	AUX
esrj-39716	184	19	added	add	VERB
esrj-39716	184	20	and	and	CCONJ
esrj-39716	184	21	allowed	allow	VERB
esrj-39716	184	22	to	to	PART
esrj-39716	184	23	dry	dry	VERB
esrj-39716	184	24	.	.	PUNCT
esrj-39716	185	1	the	the	DET
esrj-39716	185	2	specimen	speciman	NOUN
esrj-39716	185	3	is	be	AUX
esrj-39716	185	4	extracted	extract	VERB
esrj-39716	185	5	from	from	ADP
esrj-39716	185	6	the	the	DET
esrj-39716	185	7	mold	mold	NOUN
esrj-39716	185	8	when	when	SCONJ
esrj-39716	185	9	it	it	PRON
esrj-39716	185	10	is	be	AUX
esrj-39716	185	11	consistent	consistent	ADJ
esrj-39716	185	12	and	and	CCONJ
esrj-39716	185	13	polished	polished	ADJ
esrj-39716	185	14	to	to	PART
esrj-39716	185	15	obtain	obtain	VERB
esrj-39716	185	16	the	the	DET
esrj-39716	185	17	maximum	maximum	ADJ
esrj-39716	185	18	visible	visible	ADJ
esrj-39716	185	19	area	area	NOUN
esrj-39716	185	20	of	of	ADP
esrj-39716	185	21	the	the	DET
esrj-39716	185	22	samples	sample	NOUN
esrj-39716	185	23	.	.	PUNCT
esrj-39716	186	1	a	a	DET
esrj-39716	186	2	set	set	NOUN
esrj-39716	186	3	of	of	ADP
esrj-39716	186	4	images	image	NOUN
esrj-39716	186	5	was	be	AUX
esrj-39716	186	6	acquired	acquire	VERB
esrj-39716	186	7	using	use	VERB
esrj-39716	186	8	a	a	DET
esrj-39716	186	9	reflected	reflect	VERB
esrj-39716	186	10	-	-	PUNCT
esrj-39716	186	11	light	light	ADJ
esrj-39716	186	12	microscope	microscope	NOUN
esrj-39716	186	13	.	.	PUNCT
esrj-39716	187	1	figure	figure	NOUN
esrj-39716	187	2	5	5	NUM
esrj-39716	187	3	presents	present	VERB
esrj-39716	187	4	some	some	PRON
esrj-39716	187	5	of	of	ADP
esrj-39716	187	6	these	these	DET
esrj-39716	187	7	images	image	NOUN
esrj-39716	187	8	,	,	PUNCT
esrj-39716	187	9	and	and	CCONJ
esrj-39716	187	10	it	it	PRON
esrj-39716	187	11	should	should	AUX
esrj-39716	187	12	be	be	AUX
esrj-39716	187	13	noted	note	VERB
esrj-39716	187	14	that	that	SCONJ
esrj-39716	187	15	different	different	ADJ
esrj-39716	187	16	textures	texture	NOUN
esrj-39716	187	17	are	be	AUX
esrj-39716	187	18	present	present	ADJ
esrj-39716	187	19	.	.	PUNCT
esrj-39716	188	1	training	training	NOUN
esrj-39716	188	2	set	set	VERB
esrj-39716	188	3	c	c	NOUN
esrj-39716	188	4	and	and	CCONJ
esrj-39716	188	5	testing	testing	NOUN
esrj-39716	188	6	set	set	NOUN
esrj-39716	188	7	x	x	PUNCT
esrj-39716	188	8	were	be	AUX
esrj-39716	188	9	thus	thus	ADV
esrj-39716	188	10	randomly	randomly	ADV
esrj-39716	188	11	created	create	VERB
esrj-39716	188	12	.	.	PUNCT
esrj-39716	189	1	to	to	PART
esrj-39716	189	2	simulate	simulate	VERB
esrj-39716	189	3	the	the	DET
esrj-39716	189	4	classification	classification	NOUN
esrj-39716	189	5	process	process	NOUN
esrj-39716	189	6	,	,	PUNCT
esrj-39716	189	7	a	a	DET
esrj-39716	189	8	set	set	NOUN
esrj-39716	189	9	of	of	ADP
esrj-39716	189	10	d	d	PROPN
esrj-39716	189	11	=	=	SYM
esrj-39716	189	12	17	17	NUM
esrj-39716	189	13	classes	class	NOUN
esrj-39716	189	14	was	be	AUX
esrj-39716	189	15	chosen	choose	VERB
esrj-39716	189	16	,	,	PUNCT
esrj-39716	189	17	each	each	PRON
esrj-39716	189	18	representing	represent	VERB
esrj-39716	189	19	a	a	DET
esrj-39716	189	20	depth	depth	NOUN
esrj-39716	189	21	in	in	ADP
esrj-39716	189	22	a	a	DET
esrj-39716	189	23	well	well	NOUN
esrj-39716	189	24	as	as	SCONJ
esrj-39716	189	25	illustrated	illustrate	VERB
esrj-39716	189	26	in	in	ADP
esrj-39716	189	27	table	table	NOUN
esrj-39716	189	28	1	1	NUM
esrj-39716	189	29	.	.	PUNCT
esrj-39716	190	1	then	then	ADV
esrj-39716	190	2	,	,	PUNCT
esrj-39716	190	3	the	the	DET
esrj-39716	190	4	mathematical	mathematical	ADJ
esrj-39716	190	5	model	model	NOUN
esrj-39716	190	6	presented	present	VERB
esrj-39716	190	7	in	in	ADP
esrj-39716	190	8	section	section	NOUN
esrj-39716	190	9	2	2	NUM
esrj-39716	190	10	was	be	AUX
esrj-39716	190	11	applied	apply	VERB
esrj-39716	190	12	.	.	PUNCT
esrj-39716	191	1	class	class	NOUN
esrj-39716	191	2	depth	depth	NOUN
esrj-39716	191	3	in	in	ADP
esrj-39716	191	4	meters	meter	NOUN
esrj-39716	191	5	(	(	PUNCT
esrj-39716	191	6	ft	ft	NOUN
esrj-39716	191	7	)	)	PUNCT
esrj-39716	191	8	class	class	NOUN
esrj-39716	191	9	depth	depth	NOUN
esrj-39716	191	10	in	in	ADP
esrj-39716	191	11	meters	meter	NOUN
esrj-39716	191	12	(	(	PUNCT
esrj-39716	191	13	ft	ft	NOUN
esrj-39716	191	14	)	)	PUNCT
esrj-39716	191	15	(	(	PUNCT
esrj-39716	191	16	ft	ft	NOUN
esrj-39716	191	17	)	)	PUNCT
esrj-39716	191	18	1	1	NUM
esrj-39716	191	19	1371.60	1371.60	NUM
esrj-39716	191	20	(	(	PUNCT
esrj-39716	191	21	4500	4500	NUM
esrj-39716	191	22	)	)	PUNCT
esrj-39716	191	23	10	10	NUM
esrj-39716	191	24	3111.70	3111.70	NUM
esrj-39716	191	25	(	(	PUNCT
esrj-39716	191	26	10209	10209	NUM
esrj-39716	191	27	)	)	PUNCT
esrj-39716	191	28	2	2	NUM
esrj-39716	191	29	1463.04	1463.04	NUM
esrj-39716	191	30	(	(	PUNCT
esrj-39716	191	31	4800	4800	NUM
esrj-39716	191	32	)	)	PUNCT
esrj-39716	191	33	11	11	NUM
esrj-39716	191	34	3232.40	3232.40	NUM
esrj-39716	191	35	(	(	PUNCT
esrj-39716	191	36	10605	10605	NUM
esrj-39716	191	37	)	)	PUNCT
esrj-39716	191	38	3	3	NUM
esrj-39716	191	39	1572.46	1572.46	NUM
esrj-39716	191	40	(	(	PUNCT
esrj-39716	191	41	5159	5159	NUM
esrj-39716	191	42	)	)	PUNCT
esrj-39716	191	43	12	12	NUM
esrj-39716	191	44	3358.90	3358.90	NUM
esrj-39716	191	45	(	(	PUNCT
esrj-39716	191	46	11020	11020	NUM
esrj-39716	191	47	)	)	PUNCT
esrj-39716	191	48	4	4	NUM
esrj-39716	191	49	1750.16	1750.16	NUM
esrj-39716	191	50	(	(	PUNCT
esrj-39716	191	51	5742	5742	NUM
esrj-39716	191	52	)	)	PUNCT
esrj-39716	191	53	13	13	NUM
esrj-39716	191	54	3441.50	3441.50	NUM
esrj-39716	191	55	(	(	PUNCT
esrj-39716	191	56	11291	11291	NUM
esrj-39716	191	57	)	)	PUNCT
esrj-39716	191	58	5	5	NUM
esrj-39716	191	59	2083.31	2083.31	NUM
esrj-39716	191	60	(	(	PUNCT
esrj-39716	191	61	6835	6835	NUM
esrj-39716	191	62	)	)	PUNCT
esrj-39716	191	63	14	14	NUM
esrj-39716	191	64	3538.73	3538.73	NUM
esrj-39716	191	65	(	(	PUNCT
esrj-39716	191	66	11610	11610	NUM
esrj-39716	191	67	)	)	PUNCT
esrj-39716	191	68	6	6	NUM
esrj-39716	191	69	2508.81	2508.81	NUM
esrj-39716	191	70	(	(	PUNCT
esrj-39716	191	71	8231	8231	NUM
esrj-39716	191	72	)	)	PUNCT
esrj-39716	191	73	15	15	NUM
esrj-39716	191	74	3658.51	3658.51	NUM
esrj-39716	191	75	(	(	PUNCT
esrj-39716	191	76	12003	12003	NUM
esrj-39716	191	77	)	)	PUNCT
esrj-39716	191	78	7	7	NUM
esrj-39716	191	79	2706.32	2706.32	NUM
esrj-39716	191	80	(	(	PUNCT
esrj-39716	191	81	8879	8879	NUM
esrj-39716	191	82	)	)	PUNCT
esrj-39716	191	83	16	16	NUM
esrj-39716	191	84	3758.18	3758.18	NUM
esrj-39716	191	85	(	(	PUNCT
esrj-39716	191	86	12330	12330	NUM
esrj-39716	191	87	)	)	PUNCT
esrj-39716	191	88	8	8	NUM
esrj-39716	191	89	2798.37	2798.37	NUM
esrj-39716	191	90	(	(	PUNCT
esrj-39716	191	91	9181	9181	NUM
esrj-39716	191	92	)	)	PUNCT
esrj-39716	191	93	17	17	NUM
esrj-39716	191	94	3825.54	3825.54	NUM
esrj-39716	191	95	(	(	PUNCT
esrj-39716	191	96	12551	12551	NUM
esrj-39716	191	97	)	)	PUNCT
esrj-39716	191	98	9	9	NUM
esrj-39716	191	99	2944.98	2944.98	NUM
esrj-39716	191	100	(	(	PUNCT
esrj-39716	191	101	9662	9662	NUM
esrj-39716	191	102	)	)	PUNCT
esrj-39716	191	103	table	table	NOUN
esrj-39716	191	104	1	1	NUM
esrj-39716	191	105	.	.	PUNCT
esrj-39716	191	106	training	training	NOUN
esrj-39716	191	107	classes	class	NOUN
esrj-39716	191	108	.	.	PUNCT
esrj-39716	192	1	figure	figure	NOUN
esrj-39716	192	2	5	5	NUM
esrj-39716	192	3	.	.	PUNCT
esrj-39716	192	4	rock	rock	NOUN
esrj-39716	192	5	images	image	NOUN
esrj-39716	192	6	for	for	ADP
esrj-39716	192	7	classification	classification	NOUN
esrj-39716	192	8	.	.	PUNCT
esrj-39716	193	1	note	note	VERB
esrj-39716	193	2	the	the	DET
esrj-39716	193	3	different	different	ADJ
esrj-39716	193	4	textures	texture	NOUN
esrj-39716	193	5	present	present	ADJ
esrj-39716	193	6	in	in	ADP
esrj-39716	193	7	the	the	DET
esrj-39716	193	8	set	set	NOUN
esrj-39716	193	9	.	.	PUNCT
esrj-39716	194	1	a	a	DET
esrj-39716	194	2	subsection	subsection	NOUN
esrj-39716	194	3	of	of	ADP
esrj-39716	194	4	each	each	PRON
esrj-39716	194	5	of	of	ADP
esrj-39716	194	6	the	the	DET
esrj-39716	194	7	images	image	NOUN
esrj-39716	194	8	in	in	ADP
esrj-39716	194	9	c	c	PROPN
esrj-39716	194	10	and	and	CCONJ
esrj-39716	194	11	x	x	PRON
esrj-39716	194	12	was	be	AUX
esrj-39716	194	13	extracted	extract	VERB
esrj-39716	194	14	to	to	PART
esrj-39716	194	15	eliminate	eliminate	VERB
esrj-39716	194	16	the	the	DET
esrj-39716	194	17	blurred	blurred	ADJ
esrj-39716	194	18	borders	border	NOUN
esrj-39716	194	19	that	that	PRON
esrj-39716	194	20	were	be	AUX
esrj-39716	194	21	present	present	ADJ
esrj-39716	194	22	.	.	PUNCT
esrj-39716	195	1	then	then	ADV
esrj-39716	195	2	,	,	PUNCT
esrj-39716	195	3	each	each	DET
esrj-39716	195	4	image	image	NOUN
esrj-39716	195	5	cd	cd	PROPN
esrj-39716	195	6	and	and	CCONJ
esrj-39716	195	7	xdℓ	xdℓ	NOUN
esrj-39716	195	8	was	be	AUX
esrj-39716	195	9	divided	divide	VERB
esrj-39716	195	10	into	into	ADP
esrj-39716	195	11	12	12	NUM
esrj-39716	195	12	non	non	ADJ
esrj-39716	195	13	-	-	ADJ
esrj-39716	195	14	overlapping	overlapping	ADJ
esrj-39716	195	15	subimages	subimage	NOUN
esrj-39716	195	16	.	.	PUNCT
esrj-39716	196	1	the	the	DET
esrj-39716	196	2	preprocessing	preprocessing	NOUN
esrj-39716	196	3	was	be	AUX
esrj-39716	196	4	performed	perform	VERB
esrj-39716	196	5	using	use	VERB
esrj-39716	196	6	a	a	DET
esrj-39716	196	7	bank	bank	NOUN
esrj-39716	196	8	of	of	ADP
esrj-39716	196	9	gabor	gabor	PROPN
esrj-39716	196	10	filters	filter	VERB
esrj-39716	196	11	w	w	PROPN
esrj-39716	196	12	,	,	PUNCT
esrj-39716	196	13	as	as	SCONJ
esrj-39716	196	14	presented	present	VERB
esrj-39716	196	15	in	in	ADP
esrj-39716	196	16	equation	equation	NOUN
esrj-39716	196	17	(	(	PUNCT
esrj-39716	196	18	2	2	NUM
esrj-39716	196	19	)	)	PUNCT
esrj-39716	196	20	.	.	PUNCT
esrj-39716	197	1	for	for	ADP
esrj-39716	197	2	each	each	DET
esrj-39716	197	3	subimage	subimage	NOUN
esrj-39716	197	4	of	of	ADP
esrj-39716	197	5	cd	cd	PROPN
esrj-39716	197	6	and	and	CCONJ
esrj-39716	197	7	xdℓ	xdℓ	PROPN
esrj-39716	197	8	,	,	PUNCT
esrj-39716	197	9	a	a	DET
esrj-39716	197	10	set	set	NOUN
esrj-39716	197	11	of	of	ADP
esrj-39716	197	12	u	u	NOUN
esrj-39716	197	13	=	=	NOUN
esrj-39716	197	14	14	14	NUM
esrj-39716	197	15	frequencies	frequency	NOUN
esrj-39716	197	16	and	and	CCONJ
esrj-39716	197	17	v=6	v=6	PRON
esrj-39716	197	18	rotations	rotation	NOUN
esrj-39716	197	19	were	be	AUX
esrj-39716	197	20	applied	apply	VERB
esrj-39716	197	21	,	,	PUNCT
esrj-39716	197	22	for	for	ADP
esrj-39716	197	23	a	a	DET
esrj-39716	197	24	total	total	NOUN
esrj-39716	197	25	of	of	ADP
esrj-39716	197	26	uv	uv	NOUN
esrj-39716	197	27	=	=	SYM
esrj-39716	197	28	84	84	NUM
esrj-39716	197	29	gabor	gabor	NOUN
esrj-39716	197	30	filters	filter	NOUN
esrj-39716	197	31	.	.	PUNCT
esrj-39716	198	1	figure	figure	VERB
esrj-39716	198	2	6	6	NUM
esrj-39716	198	3	.	.	PUNCT
esrj-39716	198	4	comparison	comparison	NOUN
esrj-39716	198	5	of	of	ADP
esrj-39716	198	6	histograms	histogram	NOUN
esrj-39716	198	7	for	for	ADP
esrj-39716	198	8	different	different	ADJ
esrj-39716	198	9	classes	class	NOUN
esrj-39716	198	10	.	.	PUNCT
esrj-39716	199	1	the	the	DET
esrj-39716	199	2	descriptors	descriptor	NOUN
esrj-39716	199	3	for	for	ADP
esrj-39716	199	4	different	different	ADJ
esrj-39716	199	5	classes	class	NOUN
esrj-39716	199	6	are	be	AUX
esrj-39716	199	7	concentrated	concentrate	VERB
esrj-39716	199	8	in	in	ADP
esrj-39716	199	9	the	the	DET
esrj-39716	199	10	same	same	ADJ
esrj-39716	199	11	value	value	NOUN
esrj-39716	199	12	ranges	range	NOUN
esrj-39716	199	13	.	.	PUNCT
esrj-39716	200	1	for	for	ADP
esrj-39716	200	2	each	each	PRON
esrj-39716	200	3	of	of	ADP
esrj-39716	200	4	the	the	DET
esrj-39716	200	5	transformations	transformation	NOUN
esrj-39716	200	6	and	and	CCONJ
esrj-39716	200	7	,	,	PUNCT
esrj-39716	200	8	k	k	PROPN
esrj-39716	200	9	=	=	SYM
esrj-39716	200	10	6	6	NUM
esrj-39716	200	11	texture	texture	NOUN
esrj-39716	200	12	descriptors	descriptor	NOUN
esrj-39716	200	13	were	be	AUX
esrj-39716	200	14	calculated	calculate	VERB
esrj-39716	200	15	.	.	PUNCT
esrj-39716	201	1	an	an	DET
esrj-39716	201	2	analysis	analysis	NOUN
esrj-39716	201	3	of	of	ADP
esrj-39716	201	4	the	the	DET
esrj-39716	201	5	descriptors	descriptor	NOUN
esrj-39716	201	6	among	among	ADP
esrj-39716	201	7	the	the	DET
esrj-39716	201	8	different	different	ADJ
esrj-39716	201	9	d	d	PROPN
esrj-39716	201	10	classes	class	NOUN
esrj-39716	201	11	allowed	allow	VERB
esrj-39716	201	12	determining	determine	VERB
esrj-39716	201	13	the	the	DET
esrj-39716	201	14	difficulty	difficulty	NOUN
esrj-39716	201	15	of	of	ADP
esrj-39716	201	16	separation	separation	NOUN
esrj-39716	201	17	.	.	PUNCT
esrj-39716	202	1	this	this	PRON
esrj-39716	202	2	is	be	AUX
esrj-39716	202	3	the	the	DET
esrj-39716	202	4	main	main	ADJ
esrj-39716	202	5	reason	reason	NOUN
esrj-39716	202	6	to	to	PART
esrj-39716	202	7	use	use	VERB
esrj-39716	202	8	this	this	DET
esrj-39716	202	9	approach	approach	NOUN
esrj-39716	202	10	instead	instead	ADV
esrj-39716	202	11	of	of	ADP
esrj-39716	202	12	traditional	traditional	ADJ
esrj-39716	202	13	classification	classification	NOUN
esrj-39716	202	14	methods	method	NOUN
esrj-39716	202	15	,	,	PUNCT
esrj-39716	202	16	given	give	VERB
esrj-39716	202	17	that	that	SCONJ
esrj-39716	202	18	the	the	DET
esrj-39716	202	19	classes	class	NOUN
esrj-39716	202	20	are	be	AUX
esrj-39716	202	21	not	not	PART
esrj-39716	202	22	linearly	linearly	ADV
esrj-39716	202	23	separable	separable	ADJ
esrj-39716	202	24	.	.	PUNCT
esrj-39716	203	1	to	to	PART
esrj-39716	203	2	show	show	VERB
esrj-39716	203	3	the	the	DET
esrj-39716	203	4	non	non	ADJ
esrj-39716	203	5	-	-	ADJ
esrj-39716	203	6	separable	separable	ADJ
esrj-39716	203	7	characteristic	characteristic	NOUN
esrj-39716	203	8	,	,	PUNCT
esrj-39716	203	9	the	the	DET
esrj-39716	203	10	following	follow	VERB
esrj-39716	203	11	figures	figure	NOUN
esrj-39716	203	12	present	present	VERB
esrj-39716	203	13	the	the	DET
esrj-39716	203	14	histograms	histogram	NOUN
esrj-39716	203	15	and	and	CCONJ
esrj-39716	203	16	some	some	DET
esrj-39716	203	17	examples	example	NOUN
esrj-39716	203	18	of	of	ADP
esrj-39716	203	19	the	the	DET
esrj-39716	203	20	features	feature	NOUN
esrj-39716	203	21	.	.	PUNCT
esrj-39716	204	1	the	the	DET
esrj-39716	204	2	histograms	histogram	NOUN
esrj-39716	204	3	in	in	ADP
esrj-39716	204	4	figure	figure	NOUN
esrj-39716	204	5	6	6	NUM
esrj-39716	204	6	show	show	VERB
esrj-39716	204	7	the	the	DET
esrj-39716	204	8	concentration	concentration	NOUN
esrj-39716	204	9	of	of	ADP
esrj-39716	204	10	the	the	DET
esrj-39716	204	11	descriptors	descriptor	NOUN
esrj-39716	204	12	in	in	ADP
esrj-39716	204	13	the	the	DET
esrj-39716	204	14	same	same	ADJ
esrj-39716	204	15	value	value	NOUN
esrj-39716	204	16	ranges	range	VERB
esrj-39716	204	17	for	for	ADP
esrj-39716	204	18	two	two	NUM
esrj-39716	204	19	randomly	randomly	ADV
esrj-39716	204	20	selected	select	VERB
esrj-39716	204	21	classes	class	NOUN
esrj-39716	204	22	.	.	PUNCT
esrj-39716	205	1	it	it	PRON
esrj-39716	205	2	is	be	AUX
esrj-39716	205	3	important	important	ADJ
esrj-39716	205	4	to	to	PART
esrj-39716	205	5	clarify	clarify	VERB
esrj-39716	205	6	that	that	SCONJ
esrj-39716	205	7	the	the	DET
esrj-39716	205	8	domain	domain	NOUN
esrj-39716	205	9	does	do	AUX
esrj-39716	205	10	not	not	PART
esrj-39716	205	11	significantly	significantly	ADV
esrj-39716	205	12	change	change	VERB
esrj-39716	205	13	between	between	ADP
esrj-39716	205	14	classes	class	NOUN
esrj-39716	205	15	and	and	CCONJ
esrj-39716	205	16	that	that	SCONJ
esrj-39716	205	17	the	the	DET
esrj-39716	205	18	overlapping	overlap	VERB
esrj-39716	205	19	behavior	behavior	NOUN
esrj-39716	205	20	is	be	AUX
esrj-39716	205	21	similar	similar	ADJ
esrj-39716	205	22	for	for	ADP
esrj-39716	205	23	any	any	DET
esrj-39716	205	24	pair	pair	NOUN
esrj-39716	205	25	of	of	ADP
esrj-39716	205	26	selected	select	VERB
esrj-39716	205	27	classes	class	NOUN
esrj-39716	205	28	.	.	PUNCT
esrj-39716	206	1	162	162	NUM
esrj-39716	206	2	laura	laura	PROPN
esrj-39716	206	3	viviana	viviana	PROPN
esrj-39716	206	4	galvis	galvis	PROPN
esrj-39716	206	5	c.	c.	PROPN
esrj-39716	206	6	,	,	PUNCT
esrj-39716	206	7	reinel	reinel	VERB
esrj-39716	206	8	corzo	corzo	NOUN
esrj-39716	206	9	rueda	rueda	PROPN
esrj-39716	206	10	,	,	PUNCT
esrj-39716	206	11	henry	henry	PROPN
esrj-39716	206	12	arguello	arguello	PROPN
esrj-39716	206	13	fuentes	fuentes	PROPN
esrj-39716	206	14	figure	figure	VERB
esrj-39716	206	15	7	7	NUM
esrj-39716	206	16	shows	show	VERB
esrj-39716	206	17	samples	sample	NOUN
esrj-39716	206	18	of	of	ADP
esrj-39716	206	19	two	two	NUM
esrj-39716	206	20	randomly	randomly	ADV
esrj-39716	206	21	selected	select	VERB
esrj-39716	206	22	features	feature	NOUN
esrj-39716	206	23	from	from	ADP
esrj-39716	206	24	the	the	DET
esrj-39716	206	25	data	datum	NOUN
esrj-39716	206	26	set	set	VERB
esrj-39716	206	27	,	,	PUNCT
esrj-39716	206	28	and	and	CCONJ
esrj-39716	206	29	again	again	ADV
esrj-39716	206	30	,	,	PUNCT
esrj-39716	206	31	the	the	DET
esrj-39716	206	32	overlap	overlap	NOUN
esrj-39716	206	33	is	be	AUX
esrj-39716	206	34	similar	similar	ADJ
esrj-39716	206	35	for	for	ADP
esrj-39716	206	36	any	any	DET
esrj-39716	206	37	pair	pair	NOUN
esrj-39716	206	38	of	of	ADP
esrj-39716	206	39	selected	select	VERB
esrj-39716	206	40	classes	class	NOUN
esrj-39716	206	41	.	.	PUNCT
esrj-39716	207	1	each	each	DET
esrj-39716	207	2	data	datum	NOUN
esrj-39716	207	3	point	point	NOUN
esrj-39716	207	4	is	be	AUX
esrj-39716	207	5	labeled	label	VERB
esrj-39716	207	6	according	accord	VERB
esrj-39716	207	7	to	to	ADP
esrj-39716	207	8	the	the	DET
esrj-39716	207	9	classes	class	NOUN
esrj-39716	207	10	it	it	PRON
esrj-39716	207	11	belongs	belong	VERB
esrj-39716	207	12	to	to	PART
esrj-39716	207	13	.	.	PUNCT
esrj-39716	208	1	here	here	ADV
esrj-39716	208	2	,	,	PUNCT
esrj-39716	208	3	the	the	DET
esrj-39716	208	4	classes	class	NOUN
esrj-39716	208	5	are	be	AUX
esrj-39716	208	6	depicted	depict	VERB
esrj-39716	208	7	in	in	ADP
esrj-39716	208	8	green	green	ADJ
esrj-39716	208	9	and	and	CCONJ
esrj-39716	208	10	blue	blue	ADJ
esrj-39716	208	11	,	,	PUNCT
esrj-39716	208	12	and	and	CCONJ
esrj-39716	208	13	the	the	DET
esrj-39716	208	14	goal	goal	NOUN
esrj-39716	208	15	is	be	AUX
esrj-39716	208	16	to	to	PART
esrj-39716	208	17	use	use	VERB
esrj-39716	208	18	these	these	DET
esrj-39716	208	19	data	datum	NOUN
esrj-39716	208	20	as	as	ADP
esrj-39716	208	21	a	a	DET
esrj-39716	208	22	training	training	NOUN
esrj-39716	208	23	set	set	VERB
esrj-39716	208	24	to	to	PART
esrj-39716	208	25	classify	classify	VERB
esrj-39716	208	26	a	a	DET
esrj-39716	208	27	new	new	ADJ
esrj-39716	208	28	observation	observation	NOUN
esrj-39716	208	29	according	accord	VERB
esrj-39716	208	30	to	to	ADP
esrj-39716	208	31	the	the	DET
esrj-39716	208	32	feature	feature	NOUN
esrj-39716	208	33	classes	class	NOUN
esrj-39716	208	34	.	.	PUNCT
esrj-39716	209	1	note	note	VERB
esrj-39716	209	2	that	that	SCONJ
esrj-39716	209	3	class	class	NOUN
esrj-39716	209	4	overlap	overlap	NOUN
esrj-39716	209	5	is	be	AUX
esrj-39716	209	6	present	present	ADJ
esrj-39716	209	7	in	in	ADP
esrj-39716	209	8	the	the	DET
esrj-39716	209	9	projected	project	VERB
esrj-39716	209	10	space	space	NOUN
esrj-39716	209	11	.	.	PUNCT
esrj-39716	210	1	in	in	ADP
esrj-39716	210	2	evaluating	evaluate	VERB
esrj-39716	210	3	the	the	DET
esrj-39716	210	4	computational	computational	ADJ
esrj-39716	210	5	complexity	complexity	NOUN
esrj-39716	210	6	of	of	ADP
esrj-39716	210	7	the	the	DET
esrj-39716	210	8	algorithms	algorithm	NOUN
esrj-39716	210	9	,	,	PUNCT
esrj-39716	210	10	we	we	PRON
esrj-39716	210	11	consider	consider	VERB
esrj-39716	210	12	two	two	NUM
esrj-39716	210	13	stages	stage	NOUN
esrj-39716	210	14	:	:	PUNCT
esrj-39716	210	15	feature	feature	NOUN
esrj-39716	210	16	extraction	extraction	NOUN
esrj-39716	210	17	and	and	CCONJ
esrj-39716	210	18	classification	classification	NOUN
esrj-39716	210	19	.	.	PUNCT
esrj-39716	211	1	the	the	DET
esrj-39716	211	2	two	two	NUM
esrj-39716	211	3	stages	stage	NOUN
esrj-39716	211	4	can	can	AUX
esrj-39716	211	5	be	be	AUX
esrj-39716	211	6	performed	perform	VERB
esrj-39716	211	7	efficiently	efficiently	ADV
esrj-39716	211	8	,	,	PUNCT
esrj-39716	211	9	requiring	require	VERB
esrj-39716	211	10	ơ(uvh	ơ(uvh	NOUN
esrj-39716	211	11	+	+	CCONJ
esrj-39716	211	12	d2	d2	ADJ
esrj-39716	211	13	)	)	PUNCT
esrj-39716	211	14	operations	operation	NOUN
esrj-39716	211	15	per	per	ADP
esrj-39716	211	16	image	image	NOUN
esrj-39716	211	17	,	,	PUNCT
esrj-39716	211	18	where	where	SCONJ
esrj-39716	211	19	h	h	NOUN
esrj-39716	211	20	is	be	AUX
esrj-39716	211	21	the	the	DET
esrj-39716	211	22	number	number	NOUN
esrj-39716	211	23	of	of	ADP
esrj-39716	211	24	subimages	subimage	NOUN
esrj-39716	211	25	(	(	PUNCT
esrj-39716	211	26	12	12	NUM
esrj-39716	211	27	in	in	ADP
esrj-39716	211	28	our	our	PRON
esrj-39716	211	29	experiments	experiment	NOUN
esrj-39716	211	30	)	)	PUNCT
esrj-39716	211	31	,	,	PUNCT
esrj-39716	211	32	u	u	NOUN
esrj-39716	211	33	and	and	CCONJ
esrj-39716	211	34	v	v	NOUN
esrj-39716	211	35	are	be	AUX
esrj-39716	211	36	the	the	DET
esrj-39716	211	37	frequency	frequency	NOUN
esrj-39716	211	38	and	and	CCONJ
esrj-39716	211	39	rotation	rotation	NOUN
esrj-39716	211	40	of	of	ADP
esrj-39716	211	41	the	the	DET
esrj-39716	211	42	gabor	gabor	PROPN
esrj-39716	211	43	filter	filter	PROPN
esrj-39716	211	44	bank	bank	PROPN
esrj-39716	211	45	,	,	PUNCT
esrj-39716	211	46	respectively	respectively	ADV
esrj-39716	211	47	,	,	PUNCT
esrj-39716	211	48	and	and	CCONJ
esrj-39716	211	49	d	d	NOUN
esrj-39716	211	50	is	be	AUX
esrj-39716	211	51	the	the	DET
esrj-39716	211	52	number	number	NOUN
esrj-39716	211	53	of	of	ADP
esrj-39716	211	54	classes	class	NOUN
esrj-39716	211	55	.	.	PUNCT
esrj-39716	212	1	0.2	0.2	NUM
esrj-39716	212	2	0.3	0.3	NUM
esrj-39716	212	3	0.4	0.4	NUM
esrj-39716	212	4	0.5	0.5	NUM
esrj-39716	212	5	0.6	0.6	NUM
esrj-39716	212	6	0.7	0.7	NUM
esrj-39716	212	7	0.8	0.8	NUM
esrj-39716	212	8	0.9	0.9	NUM
esrj-39716	212	9	0.65	0.65	NUM
esrj-39716	212	10	0.7	0.7	NUM
esrj-39716	212	11	0.75	0.75	NUM
esrj-39716	212	12	0.8	0.8	NUM
esrj-39716	212	13	0.85	0.85	NUM
esrj-39716	212	14	0.9	0.9	NUM
esrj-39716	212	15	0.95	0.95	NUM
esrj-39716	212	16	1	1	NUM
esrj-39716	212	17	feature	feature	NOUN
esrj-39716	212	18	1	1	NUM
esrj-39716	212	19	fe	fe	NOUN
esrj-39716	212	20	at	at	ADP
esrj-39716	212	21	ur	ur	PROPN
esrj-39716	212	22	e	e	PROPN
esrj-39716	212	23	6	6	NUM
esrj-39716	212	24	class	class	NOUN
esrj-39716	212	25	1	1	NUM
esrj-39716	212	26	mean	mean	NOUN
esrj-39716	212	27	:	:	PUNCT
esrj-39716	212	28	class	class	NOUN
esrj-39716	212	29	1	1	NUM
esrj-39716	212	30	class	class	NOUN
esrj-39716	212	31	2	2	NUM
esrj-39716	212	32	mean	mean	NOUN
esrj-39716	212	33	:	:	PUNCT
esrj-39716	212	34	class	class	NOUN
esrj-39716	212	35	2	2	NUM
esrj-39716	212	36	0.02	0.02	NUM
esrj-39716	212	37	0.04	0.04	NUM
esrj-39716	212	38	0.06	0.06	NUM
esrj-39716	212	39	0.08	0.08	NUM
esrj-39716	212	40	0.1	0.1	NUM
esrj-39716	212	41	0.12	0.12	NUM
esrj-39716	212	42	0.14	0.14	NUM
esrj-39716	212	43	0.16	0.16	NUM
esrj-39716	212	44	0	0	NUM
esrj-39716	212	45	0.1	0.1	NUM
esrj-39716	212	46	0.2	0.2	NUM
esrj-39716	212	47	0.3	0.3	NUM
esrj-39716	212	48	0.4	0.4	NUM
esrj-39716	212	49	0.5	0.5	NUM
esrj-39716	212	50	0.6	0.6	NUM
esrj-39716	212	51	0.7	0.7	NUM
esrj-39716	212	52	0.8	0.8	NUM
esrj-39716	212	53	0.9	0.9	NUM
esrj-39716	212	54	feature	feature	NOUN
esrj-39716	212	55	2	2	NUM
esrj-39716	212	56	fe	fe	NOUN
esrj-39716	212	57	at	at	ADP
esrj-39716	212	58	ur	ur	PROPN
esrj-39716	212	59	e	e	PROPN
esrj-39716	212	60	5	5	NUM
esrj-39716	212	61	class	class	NOUN
esrj-39716	212	62	1	1	NUM
esrj-39716	212	63	mean	mean	NOUN
esrj-39716	212	64	:	:	PUNCT
esrj-39716	212	65	class	class	NOUN
esrj-39716	212	66	1	1	NUM
esrj-39716	212	67	class	class	NOUN
esrj-39716	212	68	2	2	NUM
esrj-39716	212	69	mean	mean	NOUN
esrj-39716	212	70	:	:	PUNCT
esrj-39716	212	71	class	class	NOUN
esrj-39716	212	72	2	2	NUM
esrj-39716	212	73	0.02	0.02	NUM
esrj-39716	212	74	0.04	0.04	NUM
esrj-39716	212	75	0.06	0.06	NUM
esrj-39716	212	76	0.08	0.08	NUM
esrj-39716	212	77	0.1	0.1	NUM
esrj-39716	212	78	0.12	0.12	NUM
esrj-39716	212	79	0.14	0.14	NUM
esrj-39716	212	80	0.16	0.16	NUM
esrj-39716	212	81	0.65	0.65	NUM
esrj-39716	212	82	0.7	0.7	NUM
esrj-39716	212	83	0.75	0.75	NUM
esrj-39716	212	84	0.8	0.8	NUM
esrj-39716	212	85	0.85	0.85	NUM
esrj-39716	212	86	0.9	0.9	NUM
esrj-39716	212	87	0.95	0.95	NUM
esrj-39716	212	88	1	1	NUM
esrj-39716	212	89	feature	feature	NOUN
esrj-39716	212	90	2	2	NUM
esrj-39716	212	91	fe	fe	NOUN
esrj-39716	212	92	at	at	ADP
esrj-39716	212	93	ur	ur	PROPN
esrj-39716	212	94	e	e	PROPN
esrj-39716	212	95	6	6	NUM
esrj-39716	212	96	class	class	NOUN
esrj-39716	212	97	1	1	NUM
esrj-39716	212	98	mean	mean	NOUN
esrj-39716	212	99	:	:	PUNCT
esrj-39716	212	100	class	class	NOUN
esrj-39716	212	101	1	1	NUM
esrj-39716	212	102	class	class	NOUN
esrj-39716	212	103	2	2	NUM
esrj-39716	212	104	mean	mean	NOUN
esrj-39716	212	105	:	:	PUNCT
esrj-39716	212	106	class	class	NOUN
esrj-39716	212	107	2	2	NUM
esrj-39716	212	108	0	0	NUM
esrj-39716	212	109	0.5	0.5	NUM
esrj-39716	212	110	1	1	NUM
esrj-39716	212	111	1.5	1.5	NUM
esrj-39716	212	112	0	0	NUM
esrj-39716	212	113	0.1	0.1	NUM
esrj-39716	212	114	0.2	0.2	NUM
esrj-39716	212	115	0.3	0.3	NUM
esrj-39716	212	116	0.4	0.4	NUM
esrj-39716	212	117	0.5	0.5	NUM
esrj-39716	212	118	0.6	0.6	NUM
esrj-39716	212	119	0.7	0.7	NUM
esrj-39716	212	120	0.8	0.8	NUM
esrj-39716	212	121	0.9	0.9	NUM
esrj-39716	212	122	feature	feature	NOUN
esrj-39716	212	123	3	3	NUM
esrj-39716	212	124	fe	fe	NOUN
esrj-39716	212	125	at	at	ADP
esrj-39716	212	126	ur	ur	PROPN
esrj-39716	212	127	e	e	PROPN
esrj-39716	212	128	5	5	NUM
esrj-39716	212	129	class	class	NOUN
esrj-39716	212	130	1	1	NUM
esrj-39716	212	131	mean	mean	NOUN
esrj-39716	212	132	:	:	PUNCT
esrj-39716	212	133	class	class	NOUN
esrj-39716	212	134	1	1	NUM
esrj-39716	212	135	class	class	NOUN
esrj-39716	212	136	2	2	NUM
esrj-39716	212	137	mean	mean	NOUN
esrj-39716	212	138	:	:	PUNCT
esrj-39716	212	139	class	class	NOUN
esrj-39716	212	140	2	2	NUM
esrj-39716	212	141	figure	figure	NOUN
esrj-39716	212	142	7	7	NUM
esrj-39716	212	143	.	.	PUNCT
esrj-39716	212	144	scatter	scatter	NOUN
esrj-39716	212	145	plot	plot	NOUN
esrj-39716	212	146	of	of	ADP
esrj-39716	212	147	depth	depth	NOUN
esrj-39716	212	148	features	feature	NOUN
esrj-39716	212	149	for	for	ADP
esrj-39716	212	150	two	two	NUM
esrj-39716	212	151	randomly	randomly	ADV
esrj-39716	212	152	chosen	choose	VERB
esrj-39716	212	153	features	feature	NOUN
esrj-39716	212	154	represented	represent	VERB
esrj-39716	212	155	by	by	ADP
esrj-39716	212	156	green	green	ADJ
esrj-39716	212	157	and	and	CCONJ
esrj-39716	212	158	blue	blue	ADJ
esrj-39716	212	159	.	.	PUNCT
esrj-39716	213	1	there	there	PRON
esrj-39716	213	2	is	be	VERB
esrj-39716	213	3	a	a	DET
esrj-39716	213	4	class	class	NOUN
esrj-39716	213	5	overlap	overlap	NOUN
esrj-39716	213	6	in	in	ADP
esrj-39716	213	7	the	the	DET
esrj-39716	213	8	projected	project	VERB
esrj-39716	213	9	space	space	NOUN
esrj-39716	213	10	showing	show	VERB
esrj-39716	213	11	that	that	SCONJ
esrj-39716	213	12	the	the	DET
esrj-39716	213	13	classes	class	NOUN
esrj-39716	213	14	are	be	AUX
esrj-39716	213	15	not	not	PART
esrj-39716	213	16	linearly	linearly	ADV
esrj-39716	213	17	separable	separable	ADJ
esrj-39716	213	18	.	.	PUNCT
esrj-39716	214	1	4	4	X
esrj-39716	214	2	.	.	NUM
esrj-39716	214	3	simulations	simulation	NOUN
esrj-39716	214	4	and	and	CCONJ
esrj-39716	214	5	results	result	VERB
esrj-39716	214	6	the	the	DET
esrj-39716	214	7	classification	classification	NOUN
esrj-39716	214	8	was	be	AUX
esrj-39716	214	9	performed	perform	VERB
esrj-39716	214	10	following	follow	VERB
esrj-39716	214	11	the	the	DET
esrj-39716	214	12	mathematical	mathematical	ADJ
esrj-39716	214	13	model	model	NOUN
esrj-39716	214	14	in	in	ADP
esrj-39716	214	15	section	section	NOUN
esrj-39716	214	16	2	2	NUM
esrj-39716	214	17	.	.	PUNCT
esrj-39716	214	18	to	to	PART
esrj-39716	214	19	calculate	calculate	VERB
esrj-39716	214	20	the	the	DET
esrj-39716	214	21	performance	performance	NOUN
esrj-39716	214	22	of	of	ADP
esrj-39716	214	23	this	this	DET
esrj-39716	214	24	method	method	NOUN
esrj-39716	214	25	,	,	PUNCT
esrj-39716	214	26	the	the	DET
esrj-39716	214	27	correct	correct	ADJ
esrj-39716	214	28	classification	classification	NOUN
esrj-39716	214	29	of	of	ADP
esrj-39716	214	30	each	each	PRON
esrj-39716	214	31	of	of	ADP
esrj-39716	214	32	the	the	DET
esrj-39716	214	33	binary	binary	ADJ
esrj-39716	214	34	classifiers	classifier	NOUN
esrj-39716	214	35	must	must	AUX
esrj-39716	214	36	be	be	AUX
esrj-39716	214	37	considered	consider	VERB
esrj-39716	214	38	.	.	PUNCT
esrj-39716	215	1	the	the	DET
esrj-39716	215	2	general	general	ADJ
esrj-39716	215	3	performance	performance	NOUN
esrj-39716	215	4	calculated	calculate	VERB
esrj-39716	215	5	using	use	VERB
esrj-39716	215	6	equation	equation	NOUN
esrj-39716	215	7	(	(	PUNCT
esrj-39716	215	8	23	23	NUM
esrj-39716	215	9	)	)	PUNCT
esrj-39716	215	10	for	for	ADP
esrj-39716	215	11	each	each	PRON
esrj-39716	215	12	of	of	ADP
esrj-39716	215	13	the	the	DET
esrj-39716	215	14	approaches	approach	NOUN
esrj-39716	215	15	—	—	PUNCT
esrj-39716	215	16	hard	hard	ADJ
esrj-39716	215	17	thresholding	thresholding	NOUN
esrj-39716	215	18	and	and	CCONJ
esrj-39716	215	19	ℓ2	ℓ2	NOUN
esrj-39716	215	20	-norm	-norm	NOUN
esrj-39716	215	21	—	—	PUNCT
esrj-39716	215	22	is	be	AUX
esrj-39716	215	23	presented	present	VERB
esrj-39716	215	24	in	in	ADP
esrj-39716	215	25	figure	figure	NOUN
esrj-39716	215	26	8	8	NUM
esrj-39716	215	27	.	.	PUNCT
esrj-39716	216	1	the	the	DET
esrj-39716	216	2	performance	performance	NOUN
esrj-39716	216	3	results	result	NOUN
esrj-39716	216	4	obtained	obtain	VERB
esrj-39716	216	5	using	use	VERB
esrj-39716	216	6	real	real	ADJ
esrj-39716	216	7	data	datum	NOUN
esrj-39716	216	8	and	and	CCONJ
esrj-39716	216	9	the	the	DET
esrj-39716	216	10	two	two	NUM
esrj-39716	216	11	approaches	approach	NOUN
esrj-39716	216	12	are	be	AUX
esrj-39716	216	13	91.3	91.3	NUM
esrj-39716	216	14	%	%	NOUN
esrj-39716	216	15	and	and	CCONJ
esrj-39716	216	16	87.5	87.5	NUM
esrj-39716	216	17	%	%	NOUN
esrj-39716	216	18	,	,	PUNCT
esrj-39716	216	19	respectively	respectively	ADV
esrj-39716	216	20	,	,	PUNCT
esrj-39716	216	21	for	for	ADP
esrj-39716	216	22	the	the	DET
esrj-39716	216	23	hard	hard	ADJ
esrj-39716	216	24	thresholding	thresholding	NOUN
esrj-39716	216	25	and	and	CCONJ
esrj-39716	216	26	ℓ2	ℓ2	NOUN
esrj-39716	216	27	-	-	PUNCT
esrj-39716	216	28	norm	norm	NOUN
esrj-39716	216	29	approach	approach	NOUN
esrj-39716	216	30	.	.	PUNCT
esrj-39716	217	1	to	to	PART
esrj-39716	217	2	highlight	highlight	VERB
esrj-39716	217	3	the	the	DET
esrj-39716	217	4	influence	influence	NOUN
esrj-39716	217	5	of	of	ADP
esrj-39716	217	6	the	the	DET
esrj-39716	217	7	different	different	ADJ
esrj-39716	217	8	features	feature	NOUN
esrj-39716	217	9	,	,	PUNCT
esrj-39716	217	10	the	the	DET
esrj-39716	217	11	performance	performance	NOUN
esrj-39716	217	12	was	be	AUX
esrj-39716	217	13	calculated	calculate	VERB
esrj-39716	217	14	using	use	VERB
esrj-39716	217	15	different	different	ADJ
esrj-39716	217	16	numbers	number	NOUN
esrj-39716	217	17	and	and	CCONJ
esrj-39716	217	18	combinations	combination	NOUN
esrj-39716	217	19	of	of	ADP
esrj-39716	217	20	features	feature	NOUN
esrj-39716	217	21	.	.	PUNCT
esrj-39716	218	1	figure	figure	NOUN
esrj-39716	218	2	9	9	NUM
esrj-39716	218	3	shows	show	VERB
esrj-39716	218	4	the	the	DET
esrj-39716	218	5	performance	performance	NOUN
esrj-39716	218	6	using	use	VERB
esrj-39716	218	7	4,5	4,5	NUM
esrj-39716	218	8	and	and	CCONJ
esrj-39716	218	9	6	6	NUM
esrj-39716	218	10	features	feature	NOUN
esrj-39716	218	11	,	,	PUNCT
esrj-39716	218	12	and	and	CCONJ
esrj-39716	218	13	each	each	PRON
esrj-39716	218	14	of	of	ADP
esrj-39716	218	15	the	the	DET
esrj-39716	218	16	bars	bar	NOUN
esrj-39716	218	17	represents	represent	VERB
esrj-39716	218	18	a	a	DET
esrj-39716	218	19	different	different	ADJ
esrj-39716	218	20	combination	combination	NOUN
esrj-39716	218	21	of	of	ADP
esrj-39716	218	22	features	feature	NOUN
esrj-39716	218	23	.	.	PUNCT
esrj-39716	219	1	the	the	DET
esrj-39716	219	2	comparison	comparison	NOUN
esrj-39716	219	3	shows	show	VERB
esrj-39716	219	4	that	that	SCONJ
esrj-39716	219	5	the	the	DET
esrj-39716	219	6	performance	performance	NOUN
esrj-39716	219	7	increases	increase	VERB
esrj-39716	219	8	with	with	ADP
esrj-39716	219	9	the	the	DET
esrj-39716	219	10	number	number	NOUN
esrj-39716	219	11	of	of	ADP
esrj-39716	219	12	features	feature	NOUN
esrj-39716	219	13	and	and	CCONJ
esrj-39716	219	14	becomes	become	VERB
esrj-39716	219	15	more	more	ADV
esrj-39716	219	16	precise	precise	ADJ
esrj-39716	219	17	for	for	ADP
esrj-39716	219	18	k	k	PROPN
esrj-39716	219	19	=	=	SYM
esrj-39716	219	20	4,5,6	4,5,6	X
esrj-39716	219	21	.	.	PUNCT
esrj-39716	220	1	the	the	DET
esrj-39716	220	2	best	good	ADJ
esrj-39716	220	3	performance	performance	NOUN
esrj-39716	220	4	is	be	AUX
esrj-39716	220	5	obtained	obtain	VERB
esrj-39716	220	6	using	use	VERB
esrj-39716	220	7	the	the	DET
esrj-39716	220	8	complete	complete	ADJ
esrj-39716	220	9	set	set	NOUN
esrj-39716	220	10	of	of	ADP
esrj-39716	220	11	features	feature	NOUN
esrj-39716	220	12	.	.	PUNCT
esrj-39716	221	1	figure	figure	VERB
esrj-39716	221	2	8	8	NUM
esrj-39716	221	3	.	.	PUNCT
esrj-39716	222	1	overall	overall	ADJ
esrj-39716	222	2	performance	performance	NOUN
esrj-39716	222	3	evaluated	evaluate	VERB
esrj-39716	222	4	using	use	VERB
esrj-39716	222	5	hard	hard	ADJ
esrj-39716	222	6	thresholding	thresholding	NOUN
esrj-39716	222	7	and	and	CCONJ
esrj-39716	222	8	ℓ2norm	ℓ2norm	NOUN
esrj-39716	222	9	distances	distance	NOUN
esrj-39716	222	10	.	.	PUNCT
esrj-39716	223	1	given	give	VERB
esrj-39716	223	2	the	the	DET
esrj-39716	223	3	variability	variability	NOUN
esrj-39716	223	4	in	in	ADP
esrj-39716	223	5	the	the	DET
esrj-39716	223	6	performance	performance	NOUN
esrj-39716	223	7	,	,	PUNCT
esrj-39716	223	8	especially	especially	ADV
esrj-39716	223	9	when	when	SCONJ
esrj-39716	223	10	4	4	NUM
esrj-39716	223	11	features	feature	NOUN
esrj-39716	223	12	were	be	AUX
esrj-39716	223	13	used	use	VERB
esrj-39716	223	14	,	,	PUNCT
esrj-39716	223	15	an	an	DET
esrj-39716	223	16	analysis	analysis	NOUN
esrj-39716	223	17	was	be	AUX
esrj-39716	223	18	performed	perform	VERB
esrj-39716	223	19	to	to	PART
esrj-39716	223	20	determine	determine	VERB
esrj-39716	223	21	whether	whether	SCONJ
esrj-39716	223	22	some	some	DET
esrj-39716	223	23	features	feature	NOUN
esrj-39716	223	24	are	be	AUX
esrj-39716	223	25	dominant	dominant	ADJ
esrj-39716	223	26	over	over	ADP
esrj-39716	223	27	the	the	DET
esrj-39716	223	28	others	other	NOUN
esrj-39716	223	29	following	follow	VERB
esrj-39716	223	30	the	the	DET
esrj-39716	223	31	weighting	weighting	NOUN
esrj-39716	223	32	method	method	NOUN
esrj-39716	223	33	in	in	ADP
esrj-39716	223	34	the	the	DET
esrj-39716	223	35	mathematical	mathematical	ADJ
esrj-39716	223	36	model	model	NOUN
esrj-39716	223	37	.	.	PUNCT
esrj-39716	224	1	simulations	simulation	NOUN
esrj-39716	224	2	involving	involve	VERB
esrj-39716	224	3	the	the	DET
esrj-39716	224	4	total	total	ADJ
esrj-39716	224	5	number	number	NOUN
esrj-39716	224	6	of	of	ADP
esrj-39716	224	7	features	feature	NOUN
esrj-39716	224	8	and	and	CCONJ
esrj-39716	224	9	assigning	assign	VERB
esrj-39716	224	10	weights	weight	NOUN
esrj-39716	224	11	were	be	AUX
esrj-39716	224	12	performed	perform	VERB
esrj-39716	224	13	by	by	ADP
esrj-39716	224	14	applying	apply	VERB
esrj-39716	224	15	the	the	DET
esrj-39716	224	16	vector	vector	NOUN
esrj-39716	224	17	ω	ω	PROPN
esrj-39716	224	18	.	.	PUNCT
esrj-39716	225	1	improvements	improvement	NOUN
esrj-39716	225	2	in	in	ADP
esrj-39716	225	3	the	the	DET
esrj-39716	225	4	performance	performance	NOUN
esrj-39716	225	5	obtained	obtain	VERB
esrj-39716	225	6	using	use	VERB
esrj-39716	225	7	the	the	DET
esrj-39716	225	8	hard	hard	ADJ
esrj-39716	225	9	thresholding	thresholde	VERB
esrj-39716	225	10	classification	classification	NOUN
esrj-39716	225	11	resulted	result	VERB
esrj-39716	225	12	in	in	ADP
esrj-39716	225	13	92	92	NUM
esrj-39716	225	14	%	%	NOUN
esrj-39716	225	15	,	,	PUNCT
esrj-39716	225	16	93	93	NUM
esrj-39716	225	17	%	%	NOUN
esrj-39716	225	18	and	and	CCONJ
esrj-39716	225	19	94	94	NUM
esrj-39716	225	20	%	%	NOUN
esrj-39716	225	21	success	success	NOUN
esrj-39716	225	22	when	when	SCONJ
esrj-39716	225	23	the	the	DET
esrj-39716	225	24	weight	weight	NOUN
esrj-39716	225	25	values	value	NOUN
esrj-39716	225	26	ω2	ω2	ADJ
esrj-39716	225	27	,	,	PUNCT
esrj-39716	225	28	ω4	ω4	NUM
esrj-39716	225	29	and	and	CCONJ
esrj-39716	225	30	ω5	ω5	PROPN
esrj-39716	225	31	were	be	AUX
esrj-39716	225	32	respectively	respectively	ADV
esrj-39716	225	33	applied	apply	VERB
esrj-39716	225	34	to	to	ADP
esrj-39716	225	35	the	the	DET
esrj-39716	225	36	standard	standard	ADJ
esrj-39716	225	37	deviation	deviation	NOUN
esrj-39716	225	38	,	,	PUNCT
esrj-39716	225	39	contrast	contrast	NOUN
esrj-39716	225	40	and	and	CCONJ
esrj-39716	225	41	homogeneity	homogeneity	NOUN
esrj-39716	225	42	with	with	ADP
esrj-39716	225	43	greater	great	ADJ
esrj-39716	225	44	consideration	consideration	NOUN
esrj-39716	225	45	compared	compare	VERB
esrj-39716	225	46	with	with	ADP
esrj-39716	225	47	the	the	DET
esrj-39716	225	48	other	other	ADJ
esrj-39716	225	49	features	feature	NOUN
esrj-39716	225	50	.	.	PUNCT
esrj-39716	226	1	the	the	DET
esrj-39716	226	2	weight	weight	NOUN
esrj-39716	226	3	values	value	NOUN
esrj-39716	226	4	considered	consider	VERB
esrj-39716	226	5	in	in	ADP
esrj-39716	226	6	the	the	DET
esrj-39716	226	7	analysis	analysis	NOUN
esrj-39716	226	8	were	be	AUX
esrj-39716	226	9	ω2	ω2	ADJ
esrj-39716	226	10	=	=	SYM
esrj-39716	226	11	1.2	1.2	NUM
esrj-39716	226	12	,	,	PUNCT
esrj-39716	226	13	ω4	ω4	NUM
esrj-39716	226	14	=	=	SYM
esrj-39716	226	15	1.6	1.6	NUM
esrj-39716	226	16	and	and	CCONJ
esrj-39716	226	17	ω5	ω5	NUM
esrj-39716	226	18	=	=	SYM
esrj-39716	226	19	1.6	1.6	NUM
esrj-39716	226	20	.	.	PUNCT
esrj-39716	227	1	figure	figure	NOUN
esrj-39716	227	2	9	9	NUM
esrj-39716	227	3	.	.	PUNCT
esrj-39716	227	4	comparison	comparison	NOUN
esrj-39716	227	5	of	of	ADP
esrj-39716	227	6	the	the	DET
esrj-39716	227	7	performance	performance	NOUN
esrj-39716	227	8	using	use	VERB
esrj-39716	227	9	different	different	ADJ
esrj-39716	227	10	values	value	NOUN
esrj-39716	227	11	of	of	ADP
esrj-39716	227	12	k.	k.	PROPN
esrj-39716	227	13	different	different	ADJ
esrj-39716	227	14	settings	setting	NOUN
esrj-39716	227	15	were	be	AUX
esrj-39716	227	16	tested	test	VERB
esrj-39716	227	17	in	in	ADP
esrj-39716	227	18	the	the	DET
esrj-39716	227	19	hard	hard	ADJ
esrj-39716	227	20	thresholding	thresholde	VERB
esrj-39716	227	21	classification	classification	NOUN
esrj-39716	227	22	,	,	PUNCT
esrj-39716	227	23	which	which	PRON
esrj-39716	227	24	includes	include	VERB
esrj-39716	227	25	a	a	DET
esrj-39716	227	26	threshold	threshold	NOUN
esrj-39716	227	27	value	value	NOUN
esrj-39716	227	28	τ	τ	PROPN
esrj-39716	227	29	.	.	PROPN
esrj-39716	227	30	figure	figure	NOUN
esrj-39716	227	31	10	10	NUM
esrj-39716	227	32	shows	show	VERB
esrj-39716	227	33	the	the	DET
esrj-39716	227	34	variation	variation	NOUN
esrj-39716	227	35	in	in	ADP
esrj-39716	227	36	classification	classification	NOUN
esrj-39716	227	37	accuracy	accuracy	NOUN
esrj-39716	227	38	for	for	ADP
esrj-39716	227	39	13	13	NUM
esrj-39716	227	40	different	different	ADJ
esrj-39716	227	41	values	value	NOUN
esrj-39716	227	42	of	of	ADP
esrj-39716	227	43	τ	τ	PROPN
esrj-39716	227	44	for	for	ADP
esrj-39716	227	45	the	the	DET
esrj-39716	227	46	proposed	propose	VERB
esrj-39716	227	47	κ	κ	NOUN
esrj-39716	227	48	features	feature	NOUN
esrj-39716	227	49	and	and	CCONJ
esrj-39716	227	50	distance	distance	NOUN
esrj-39716	227	51	measures	measure	NOUN
esrj-39716	227	52	.	.	PUNCT
esrj-39716	228	1	figure	figure	NOUN
esrj-39716	228	2	10	10	NUM
esrj-39716	228	3	shows	show	VERB
esrj-39716	228	4	the	the	DET
esrj-39716	228	5	independence	independence	NOUN
esrj-39716	228	6	of	of	ADP
esrj-39716	228	7	the	the	DET
esrj-39716	228	8	performance	performance	NOUN
esrj-39716	228	9	from	from	ADP
esrj-39716	228	10	the	the	DET
esrj-39716	228	11	ℓ2norm	ℓ2norm	NOUN
esrj-39716	228	12	distance	distance	NOUN
esrj-39716	228	13	,	,	PUNCT
esrj-39716	228	14	represented	represent	VERB
esrj-39716	228	15	by	by	ADP
esrj-39716	228	16	the	the	DET
esrj-39716	228	17	red	red	ADJ
esrj-39716	228	18	line	line	NOUN
esrj-39716	228	19	,	,	PUNCT
esrj-39716	228	20	and	and	CCONJ
esrj-39716	228	21	the	the	DET
esrj-39716	228	22	best	good	ADJ
esrj-39716	228	23	performance	performance	NOUN
esrj-39716	228	24	achieved	achieve	VERB
esrj-39716	228	25	was	be	AUX
esrj-39716	228	26	91.3	91.3	NUM
esrj-39716	228	27	%	%	NOUN
esrj-39716	228	28	correct	correct	ADJ
esrj-39716	228	29	classification	classification	NOUN
esrj-39716	228	30	using	use	VERB
esrj-39716	228	31	the	the	DET
esrj-39716	228	32	hard	hard	ADJ
esrj-39716	228	33	thresholding	thresholding	NOUN
esrj-39716	228	34	approach	approach	NOUN
esrj-39716	228	35	and	and	CCONJ
esrj-39716	228	36	a	a	DET
esrj-39716	228	37	τ	τ	NOUN
esrj-39716	228	38	value	value	NOUN
esrj-39716	228	39	of	of	ADP
esrj-39716	228	40	0.008	0.008	NUM
esrj-39716	228	41	.	.	PUNCT
esrj-39716	229	1	0.007	0.007	NUM
esrj-39716	229	2	0.0072	0.0072	NUM
esrj-39716	229	3	0.0074	0.0074	NUM
esrj-39716	229	4	0.0076	0.0076	NUM
esrj-39716	229	5	0.0078	0.0078	NUM
esrj-39716	229	6	0.008	0.008	NUM
esrj-39716	229	7	0.0082	0.0082	NUM
esrj-39716	229	8	0.0084	0.0084	NUM
esrj-39716	229	9	0.0086	0.0086	NUM
esrj-39716	229	10	0.0088	0.0088	NUM
esrj-39716	229	11	0.0090	0.0090	NUM
esrj-39716	229	12	0.0092	0.0092	NUM
esrj-39716	229	13	0.0094	0.0094	NUM
esrj-39716	229	14	60	60	NUM
esrj-39716	229	15	70	70	NUM
esrj-39716	229	16	80	80	NUM
esrj-39716	229	17	90	90	NUM
esrj-39716	229	18	100	100	NUM
esrj-39716	229	19	tau	tau	PROPN
esrj-39716	229	20	values	value	NOUN
esrj-39716	229	21	pe	pe	PROPN
esrj-39716	229	22	rfo	rfo	PROPN
esrj-39716	229	23	rm	rm	PROPN
esrj-39716	229	24	an	an	PROPN
esrj-39716	229	25	ce	ce	PROPN
esrj-39716	229	26	(	(	PUNCT
esrj-39716	229	27	%	%	NOUN
esrj-39716	229	28	)	)	PUNCT
esrj-39716	229	29	figure	figure	NOUN
esrj-39716	229	30	10	10	NUM
esrj-39716	229	31	.	.	PUNCT
esrj-39716	230	1	performance	performance	NOUN
esrj-39716	230	2	for	for	ADP
esrj-39716	230	3	different	different	ADJ
esrj-39716	230	4	τ	τ	PROPN
esrj-39716	230	5	values	value	NOUN
esrj-39716	230	6	represented	represent	VERB
esrj-39716	230	7	by	by	ADP
esrj-39716	230	8	the	the	DET
esrj-39716	230	9	blue	blue	ADJ
esrj-39716	230	10	bars	bar	NOUN
esrj-39716	230	11	.	.	PUNCT
esrj-39716	231	1	the	the	DET
esrj-39716	231	2	performance	performance	NOUN
esrj-39716	231	3	using	use	VERB
esrj-39716	231	4	the	the	DET
esrj-39716	231	5	ℓ2	ℓ2	NOUN
esrj-39716	231	6	-	-	PUNCT
esrj-39716	231	7	norm	norm	NOUN
esrj-39716	231	8	distances	distance	NOUN
esrj-39716	231	9	is	be	AUX
esrj-39716	231	10	shown	show	VERB
esrj-39716	231	11	in	in	ADP
esrj-39716	231	12	red	red	ADJ
esrj-39716	231	13	and	and	CCONJ
esrj-39716	231	14	is	be	AUX
esrj-39716	231	15	independent	independent	ADJ
esrj-39716	231	16	of	of	ADP
esrj-39716	231	17	the	the	DET
esrj-39716	231	18	τ	τ	PROPN
esrj-39716	231	19	values	value	NOUN
esrj-39716	231	20	.	.	PUNCT
esrj-39716	232	1	the	the	DET
esrj-39716	232	2	performance	performance	NOUN
esrj-39716	232	3	of	of	ADP
esrj-39716	232	4	the	the	DET
esrj-39716	232	5	binary	binary	ADJ
esrj-39716	232	6	classifiers	classifier	NOUN
esrj-39716	232	7	is	be	AUX
esrj-39716	232	8	presented	present	VERB
esrj-39716	232	9	in	in	ADP
esrj-39716	232	10	figure	figure	NOUN
esrj-39716	232	11	11	11	NUM
esrj-39716	232	12	;	;	PUNCT
esrj-39716	232	13	values	value	NOUN
esrj-39716	232	14	of	of	ADP
esrj-39716	232	15	0	0	NUM
esrj-39716	232	16	(	(	PUNCT
esrj-39716	232	17	blue	blue	ADJ
esrj-39716	232	18	)	)	PUNCT
esrj-39716	232	19	above	above	ADP
esrj-39716	232	20	the	the	DET
esrj-39716	232	21	diagonal	diagonal	ADJ
esrj-39716	232	22	represent	represent	VERB
esrj-39716	232	23	classification	classification	NOUN
esrj-39716	232	24	errors	error	NOUN
esrj-39716	232	25	and	and	CCONJ
esrj-39716	232	26	values	value	NOUN
esrj-39716	232	27	of	of	ADP
esrj-39716	232	28	1	1	NUM
esrj-39716	232	29	(	(	PUNCT
esrj-39716	232	30	red	red	ADJ
esrj-39716	232	31	)	)	PUNCT
esrj-39716	232	32	represent	represent	VERB
esrj-39716	232	33	a	a	DET
esrj-39716	232	34	successful	successful	ADJ
esrj-39716	232	35	classification	classification	NOUN
esrj-39716	232	36	.	.	PUNCT
esrj-39716	233	1	the	the	DET
esrj-39716	233	2	point	point	NOUN
esrj-39716	233	3	highlighted	highlight	VERB
esrj-39716	233	4	in	in	ADP
esrj-39716	233	5	figure	figure	NOUN
esrj-39716	233	6	11a	11a	NOUN
esrj-39716	233	7	represents	represent	VERB
esrj-39716	233	8	a	a	DET
esrj-39716	233	9	classification	classification	NOUN
esrj-39716	233	10	error	error	NOUN
esrj-39716	233	11	in	in	ADP
esrj-39716	233	12	the	the	DET
esrj-39716	233	13	binary	binary	ADJ
esrj-39716	233	14	classifier	classifier	NOUN
esrj-39716	233	15	among	among	ADP
esrj-39716	233	16	classes	class	NOUN
esrj-39716	233	17	2	2	NUM
esrj-39716	233	18	and	and	CCONJ
esrj-39716	233	19	4	4	NUM
esrj-39716	233	20	for	for	ADP
esrj-39716	233	21	the	the	DET
esrj-39716	233	22	hard	hard	ADJ
esrj-39716	233	23	thresholding	thresholde	VERB
esrj-39716	233	24	classification	classification	NOUN
esrj-39716	233	25	.	.	PUNCT
esrj-39716	234	1	163caving	163caving	NOUN
esrj-39716	234	2	depth	depth	NOUN
esrj-39716	234	3	classification	classification	NOUN
esrj-39716	234	4	by	by	ADP
esrj-39716	234	5	feature	feature	NOUN
esrj-39716	234	6	extraction	extraction	NOUN
esrj-39716	234	7	in	in	ADP
esrj-39716	234	8	cuttings	cutting	NOUN
esrj-39716	234	9	images	image	NOUN
esrj-39716	234	10	(	(	PUNCT
esrj-39716	234	11	a	a	X
esrj-39716	234	12	)	)	PUNCT
esrj-39716	234	13	(	(	PUNCT
esrj-39716	234	14	b	b	X
esrj-39716	234	15	)	)	PUNCT
esrj-39716	234	16	figure	figure	NOUN
esrj-39716	234	17	11	11	NUM
esrj-39716	234	18	.	.	PUNCT
esrj-39716	235	1	binary	binary	ADJ
esrj-39716	235	2	classifiers	classifier	NOUN
esrj-39716	235	3	using	use	VERB
esrj-39716	235	4	the	the	DET
esrj-39716	235	5	(	(	PUNCT
esrj-39716	235	6	a	a	PRON
esrj-39716	235	7	)	)	PUNCT
esrj-39716	235	8	heuristic	heuristic	NOUN
esrj-39716	235	9	and	and	CCONJ
esrj-39716	235	10	the	the	DET
esrj-39716	235	11	(	(	PUNCT
esrj-39716	235	12	b	b	NOUN
esrj-39716	235	13	)	)	PUNCT
esrj-39716	235	14	ℓ2	ℓ2	NOUN
esrj-39716	235	15	-	-	PUNCT
esrj-39716	235	16	norm	norm	NOUN
esrj-39716	235	17	decisions	decision	NOUN
esrj-39716	235	18	.	.	PUNCT
esrj-39716	236	1	in	in	ADP
esrj-39716	236	2	both	both	DET
esrj-39716	236	3	figures	figure	NOUN
esrj-39716	236	4	,	,	PUNCT
esrj-39716	236	5	the	the	DET
esrj-39716	236	6	0	0	NUM
esrj-39716	236	7	(	(	PUNCT
esrj-39716	236	8	blue	blue	ADJ
esrj-39716	236	9	)	)	PUNCT
esrj-39716	236	10	values	value	NOUN
esrj-39716	236	11	represent	represent	VERB
esrj-39716	236	12	errors	error	NOUN
esrj-39716	236	13	and	and	CCONJ
esrj-39716	236	14	the	the	DET
esrj-39716	236	15	1	1	NUM
esrj-39716	236	16	(	(	PUNCT
esrj-39716	236	17	red	red	ADJ
esrj-39716	236	18	)	)	PUNCT
esrj-39716	236	19	values	value	NOUN
esrj-39716	236	20	represent	represent	VERB
esrj-39716	236	21	successful	successful	ADJ
esrj-39716	236	22	classifications	classification	NOUN
esrj-39716	236	23	.	.	PUNCT
esrj-39716	237	1	in	in	ADP
esrj-39716	237	2	figure	figure	NOUN
esrj-39716	237	3	11b	11b	NOUN
esrj-39716	237	4	,	,	PUNCT
esrj-39716	237	5	some	some	PRON
esrj-39716	237	6	of	of	ADP
esrj-39716	237	7	the	the	DET
esrj-39716	237	8	classifier	classifier	NOUN
esrj-39716	237	9	errors	error	NOUN
esrj-39716	237	10	are	be	AUX
esrj-39716	237	11	present	present	ADJ
esrj-39716	237	12	in	in	ADP
esrj-39716	237	13	binary	binary	ADJ
esrj-39716	237	14	classifiers	classifier	NOUN
esrj-39716	237	15	involving	involve	VERB
esrj-39716	237	16	the	the	DET
esrj-39716	237	17	same	same	ADJ
esrj-39716	237	18	class	class	NOUN
esrj-39716	237	19	.	.	PUNCT
esrj-39716	238	1	for	for	ADP
esrj-39716	238	2	instance	instance	NOUN
esrj-39716	238	3	,	,	PUNCT
esrj-39716	238	4	the	the	DET
esrj-39716	238	5	errors	error	NOUN
esrj-39716	238	6	in	in	ADP
esrj-39716	238	7	classes	class	NOUN
esrj-39716	238	8	2	2	NUM
esrj-39716	238	9	16	16	NUM
esrj-39716	238	10	,	,	PUNCT
esrj-39716	238	11	11	11	NUM
esrj-39716	238	12	16	16	NUM
esrj-39716	238	13	and	and	CCONJ
esrj-39716	238	14	,	,	PUNCT
esrj-39716	238	15	12	12	NUM
esrj-39716	238	16	–	–	PUNCT
esrj-39716	238	17	16	16	NUM
esrj-39716	238	18	indicate	indicate	VERB
esrj-39716	238	19	that	that	SCONJ
esrj-39716	238	20	some	some	DET
esrj-39716	238	21	classes	class	NOUN
esrj-39716	238	22	as	as	ADP
esrj-39716	238	23	the	the	DET
esrj-39716	238	24	16	16	NUM
esrj-39716	238	25	in	in	ADP
esrj-39716	238	26	this	this	DET
esrj-39716	238	27	case	case	NOUN
esrj-39716	238	28	present	present	ADJ
esrj-39716	238	29	very	very	ADV
esrj-39716	238	30	similar	similar	ADJ
esrj-39716	238	31	features	feature	NOUN
esrj-39716	238	32	compared	compare	VERB
esrj-39716	238	33	to	to	ADP
esrj-39716	238	34	other	other	ADJ
esrj-39716	238	35	classes	class	NOUN
esrj-39716	238	36	,	,	PUNCT
esrj-39716	238	37	which	which	PRON
esrj-39716	238	38	makes	make	VERB
esrj-39716	238	39	the	the	DET
esrj-39716	238	40	classification	classification	NOUN
esrj-39716	238	41	more	more	ADV
esrj-39716	238	42	difficult	difficult	ADJ
esrj-39716	238	43	.	.	PUNCT
esrj-39716	239	1	conclusions	conclusion	NOUN
esrj-39716	239	2	the	the	DET
esrj-39716	239	3	classification	classification	NOUN
esrj-39716	239	4	of	of	ADP
esrj-39716	239	5	caving	cave	VERB
esrj-39716	239	6	depth	depth	NOUN
esrj-39716	239	7	estimation	estimation	NOUN
esrj-39716	239	8	using	use	VERB
esrj-39716	239	9	hard	hard	ADJ
esrj-39716	239	10	thresholding	thresholding	NOUN
esrj-39716	239	11	and	and	CCONJ
esrj-39716	239	12	the	the	DET
esrj-39716	239	13	ℓ2	ℓ2	NOUN
esrj-39716	239	14	-	-	PUNCT
esrj-39716	239	15	norm	norm	NOUN
esrj-39716	239	16	has	have	AUX
esrj-39716	239	17	been	be	AUX
esrj-39716	239	18	developed	develop	VERB
esrj-39716	239	19	in	in	ADP
esrj-39716	239	20	this	this	DET
esrj-39716	239	21	work	work	NOUN
esrj-39716	239	22	.	.	PUNCT
esrj-39716	240	1	the	the	DET
esrj-39716	240	2	developed	develop	VERB
esrj-39716	240	3	methods	method	NOUN
esrj-39716	240	4	and	and	CCONJ
esrj-39716	240	5	a	a	DET
esrj-39716	240	6	complete	complete	ADJ
esrj-39716	240	7	mathematical	mathematical	ADJ
esrj-39716	240	8	model	model	NOUN
esrj-39716	240	9	are	be	AUX
esrj-39716	240	10	then	then	ADV
esrj-39716	240	11	used	use	VERB
esrj-39716	240	12	to	to	PART
esrj-39716	240	13	classify	classify	VERB
esrj-39716	240	14	caving	cave	VERB
esrj-39716	240	15	depths	depth	NOUN
esrj-39716	240	16	by	by	ADP
esrj-39716	240	17	features	feature	NOUN
esrj-39716	240	18	extracted	extract	VERB
esrj-39716	240	19	from	from	ADP
esrj-39716	240	20	cutting	cut	VERB
esrj-39716	240	21	images	image	NOUN
esrj-39716	240	22	.	.	PUNCT
esrj-39716	241	1	the	the	DET
esrj-39716	241	2	multi	multi	ADJ
esrj-39716	241	3	-	-	ADJ
esrj-39716	241	4	scale	scale	ADJ
esrj-39716	241	5	and	and	CCONJ
esrj-39716	241	6	multi	multi	ADJ
esrj-39716	241	7	-	-	ADJ
esrj-39716	241	8	orientation	orientation	ADJ
esrj-39716	241	9	representation	representation	NOUN
esrj-39716	241	10	obtained	obtain	VERB
esrj-39716	241	11	using	use	VERB
esrj-39716	241	12	gabor	gabor	PROPN
esrj-39716	241	13	filters	filter	NOUN
esrj-39716	241	14	permit	permit	VERB
esrj-39716	241	15	a	a	DET
esrj-39716	241	16	much	much	ADV
esrj-39716	241	17	more	more	ADV
esrj-39716	241	18	complex	complex	ADJ
esrj-39716	241	19	characterization	characterization	NOUN
esrj-39716	241	20	of	of	ADP
esrj-39716	241	21	the	the	DET
esrj-39716	241	22	texture	texture	NOUN
esrj-39716	241	23	due	due	ADP
esrj-39716	241	24	to	to	ADP
esrj-39716	241	25	the	the	DET
esrj-39716	241	26	independence	independence	NOUN
esrj-39716	241	27	of	of	ADP
esrj-39716	241	28	the	the	DET
esrj-39716	241	29	rotation	rotation	NOUN
esrj-39716	241	30	used	use	VERB
esrj-39716	241	31	in	in	ADP
esrj-39716	241	32	the	the	DET
esrj-39716	241	33	acquisition	acquisition	NOUN
esrj-39716	241	34	process	process	NOUN
esrj-39716	241	35	.	.	PUNCT
esrj-39716	242	1	the	the	DET
esrj-39716	242	2	performed	perform	VERB
esrj-39716	242	3	analysis	analysis	NOUN
esrj-39716	242	4	precisely	precisely	ADV
esrj-39716	242	5	extracts	extract	VERB
esrj-39716	242	6	the	the	DET
esrj-39716	242	7	texture	texture	NOUN
esrj-39716	242	8	features	feature	VERB
esrj-39716	242	9	for	for	ADP
esrj-39716	242	10	different	different	ADJ
esrj-39716	242	11	rotations	rotation	NOUN
esrj-39716	242	12	,	,	PUNCT
esrj-39716	242	13	which	which	PRON
esrj-39716	242	14	allows	allow	VERB
esrj-39716	242	15	an	an	DET
esrj-39716	242	16	optimal	optimal	ADJ
esrj-39716	242	17	comparison	comparison	NOUN
esrj-39716	242	18	among	among	ADP
esrj-39716	242	19	the	the	DET
esrj-39716	242	20	images	image	NOUN
esrj-39716	242	21	in	in	ADP
esrj-39716	242	22	a	a	DET
esrj-39716	242	23	training	training	NOUN
esrj-39716	242	24	set	set	NOUN
esrj-39716	242	25	and	and	CCONJ
esrj-39716	242	26	a	a	DET
esrj-39716	242	27	testing	testing	NOUN
esrj-39716	242	28	set	set	NOUN
esrj-39716	242	29	.	.	PUNCT
esrj-39716	243	1	the	the	DET
esrj-39716	243	2	size	size	NOUN
esrj-39716	243	3	of	of	ADP
esrj-39716	243	4	the	the	DET
esrj-39716	243	5	images	image	NOUN
esrj-39716	243	6	and	and	CCONJ
esrj-39716	243	7	the	the	DET
esrj-39716	243	8	number	number	NOUN
esrj-39716	243	9	of	of	ADP
esrj-39716	243	10	gabor	gabor	PROPN
esrj-39716	243	11	filters	filter	NOUN
esrj-39716	243	12	applied	apply	VERB
esrj-39716	243	13	are	be	AUX
esrj-39716	243	14	important	important	ADJ
esrj-39716	243	15	because	because	SCONJ
esrj-39716	243	16	these	these	DET
esrj-39716	243	17	parameters	parameter	NOUN
esrj-39716	243	18	allow	allow	VERB
esrj-39716	243	19	a	a	DET
esrj-39716	243	20	complete	complete	ADJ
esrj-39716	243	21	characterization	characterization	NOUN
esrj-39716	243	22	of	of	ADP
esrj-39716	243	23	the	the	DET
esrj-39716	243	24	texture	texture	NOUN
esrj-39716	243	25	.	.	PUNCT
esrj-39716	244	1	however	however	ADV
esrj-39716	244	2	,	,	PUNCT
esrj-39716	244	3	as	as	ADP
esrj-39716	244	4	a	a	DET
esrj-39716	244	5	consequence	consequence	NOUN
esrj-39716	244	6	,	,	PUNCT
esrj-39716	244	7	additional	additional	ADJ
esrj-39716	244	8	information	information	NOUN
esrj-39716	244	9	is	be	AUX
esrj-39716	244	10	included	include	VERB
esrj-39716	244	11	.	.	PUNCT
esrj-39716	245	1	this	this	DET
esrj-39716	245	2	information	information	NOUN
esrj-39716	245	3	is	be	AUX
esrj-39716	245	4	noise	noise	NOUN
esrj-39716	245	5	and	and	CCONJ
esrj-39716	245	6	should	should	AUX
esrj-39716	245	7	be	be	AUX
esrj-39716	245	8	removed	remove	VERB
esrj-39716	245	9	for	for	ADP
esrj-39716	245	10	the	the	DET
esrj-39716	245	11	classification	classification	NOUN
esrj-39716	245	12	process	process	NOUN
esrj-39716	245	13	.	.	PUNCT
esrj-39716	246	1	the	the	DET
esrj-39716	246	2	approaches	approach	NOUN
esrj-39716	246	3	in	in	ADP
esrj-39716	246	4	this	this	DET
esrj-39716	246	5	work	work	NOUN
esrj-39716	246	6	treat	treat	VERB
esrj-39716	246	7	this	this	DET
esrj-39716	246	8	problem	problem	NOUN
esrj-39716	246	9	by	by	ADP
esrj-39716	246	10	searching	search	VERB
esrj-39716	246	11	a	a	DET
esrj-39716	246	12	reduced	reduce	VERB
esrj-39716	246	13	and	and	CCONJ
esrj-39716	246	14	a	a	DET
esrj-39716	246	15	representative	representative	ADJ
esrj-39716	246	16	set	set	NOUN
esrj-39716	246	17	.	.	PUNCT
esrj-39716	247	1	additionally	additionally	ADV
esrj-39716	247	2	,	,	PUNCT
esrj-39716	247	3	simulations	simulation	NOUN
esrj-39716	247	4	using	use	VERB
esrj-39716	247	5	different	different	ADJ
esrj-39716	247	6	numbers	number	NOUN
esrj-39716	247	7	of	of	ADP
esrj-39716	247	8	feature	feature	NOUN
esrj-39716	247	9	combinations	combination	NOUN
esrj-39716	247	10	reveal	reveal	VERB
esrj-39716	247	11	variation	variation	NOUN
esrj-39716	247	12	in	in	ADP
esrj-39716	247	13	the	the	DET
esrj-39716	247	14	performance	performance	NOUN
esrj-39716	247	15	of	of	ADP
esrj-39716	247	16	these	these	DET
esrj-39716	247	17	methods	method	NOUN
esrj-39716	247	18	.	.	PUNCT
esrj-39716	248	1	however	however	ADV
esrj-39716	248	2	,	,	PUNCT
esrj-39716	248	3	none	none	NOUN
esrj-39716	248	4	of	of	ADP
esrj-39716	248	5	the	the	DET
esrj-39716	248	6	combinations	combination	NOUN
esrj-39716	248	7	with	with	ADP
esrj-39716	248	8	fewer	few	ADJ
esrj-39716	248	9	features	feature	NOUN
esrj-39716	248	10	than	than	ADP
esrj-39716	248	11	the	the	DET
esrj-39716	248	12	established	established	ADJ
esrj-39716	248	13	κ	κ	NOUN
esrj-39716	248	14	achieved	achieve	VERB
esrj-39716	248	15	a	a	DET
esrj-39716	248	16	greater	great	ADJ
esrj-39716	248	17	performance	performance	NOUN
esrj-39716	248	18	.	.	PUNCT
esrj-39716	249	1	the	the	DET
esrj-39716	249	2	performance	performance	NOUN
esrj-39716	249	3	achieved	achieve	VERB
esrj-39716	249	4	with	with	ADP
esrj-39716	249	5	the	the	DET
esrj-39716	249	6	hard	hard	ADJ
esrj-39716	249	7	thresholding	thresholde	VERB
esrj-39716	249	8	classification	classification	NOUN
esrj-39716	249	9	is	be	AUX
esrj-39716	249	10	91.3	91.3	NUM
esrj-39716	249	11	%	%	NOUN
esrj-39716	249	12	,	,	PUNCT
esrj-39716	249	13	whereas	whereas	SCONJ
esrj-39716	249	14	the	the	DET
esrj-39716	249	15	ℓ2	ℓ2	NOUN
esrj-39716	249	16	-	-	PUNCT
esrj-39716	249	17	norm	norm	NOUN
esrj-39716	249	18	based	base	VERB
esrj-39716	249	19	classification	classification	NOUN
esrj-39716	249	20	achieved	achieve	VERB
esrj-39716	249	21	87.5	87.5	NUM
esrj-39716	249	22	%	%	NOUN
esrj-39716	249	23	success	success	NOUN
esrj-39716	249	24	.	.	PUNCT
esrj-39716	250	1	these	these	DET
esrj-39716	250	2	values	value	NOUN
esrj-39716	250	3	demonstrate	demonstrate	VERB
esrj-39716	250	4	the	the	DET
esrj-39716	250	5	applicability	applicability	NOUN
esrj-39716	250	6	of	of	ADP
esrj-39716	250	7	the	the	DET
esrj-39716	250	8	methods	method	NOUN
esrj-39716	250	9	and	and	CCONJ
esrj-39716	250	10	techniques	technique	NOUN
esrj-39716	250	11	developed	develop	VERB
esrj-39716	250	12	in	in	ADP
esrj-39716	250	13	this	this	DET
esrj-39716	250	14	work	work	NOUN
esrj-39716	250	15	.	.	PUNCT
esrj-39716	251	1	in	in	ADP
esrj-39716	251	2	addition	addition	NOUN
esrj-39716	251	3	,	,	PUNCT
esrj-39716	251	4	these	these	DET
esrj-39716	251	5	methods	method	NOUN
esrj-39716	251	6	can	can	AUX
esrj-39716	251	7	be	be	AUX
esrj-39716	251	8	applied	apply	VERB
esrj-39716	251	9	directly	directly	ADV
esrj-39716	251	10	in	in	ADP
esrj-39716	251	11	rock	rock	NOUN
esrj-39716	251	12	classification	classification	NOUN
esrj-39716	251	13	problems	problem	NOUN
esrj-39716	251	14	.	.	PUNCT
esrj-39716	252	1	references	reference	NOUN
esrj-39716	252	2	aldred	aldre	VERB
esrj-39716	252	3	,	,	PUNCT
esrj-39716	252	4	w.	w.	PROPN
esrj-39716	252	5	,	,	PUNCT
esrj-39716	252	6	plumb	plumb	PROPN
esrj-39716	252	7	,	,	PUNCT
esrj-39716	252	8	d.	d.	PROPN
esrj-39716	252	9	,	,	PUNCT
esrj-39716	252	10	bradford	bradford	PROPN
esrj-39716	252	11	,	,	PUNCT
esrj-39716	252	12	i.	i.	PROPN
esrj-39716	252	13	,	,	PUNCT
esrj-39716	252	14	cook	cook	PROPN
esrj-39716	252	15	,	,	PUNCT
esrj-39716	252	16	j.	j.	PROPN
esrj-39716	252	17	,	,	PUNCT
esrj-39716	252	18	gholkar	gholkar	NOUN
esrj-39716	252	19	,	,	PUNCT
esrj-39716	252	20	v.	v.	PROPN
esrj-39716	252	21	,	,	PUNCT
esrj-39716	252	22	cousins	cousin	NOUN
esrj-39716	252	23	,	,	PUNCT
esrj-39716	252	24	l.	l.	PROPN
esrj-39716	252	25	,	,	PUNCT
esrj-39716	252	26	et	et	PROPN
esrj-39716	252	27	al	al	PROPN
esrj-39716	252	28	.	.	PUNCT
esrj-39716	253	1	(	(	PUNCT
esrj-39716	253	2	1999	1999	NUM
esrj-39716	253	3	)	)	PUNCT
esrj-39716	253	4	.	.	PUNCT
esrj-39716	254	1	managing	manage	VERB
esrj-39716	254	2	drilling	drilling	NOUN
esrj-39716	254	3	risk	risk	NOUN
esrj-39716	254	4	.	.	PUNCT
esrj-39716	255	1	oilfield	oilfield	PROPN
esrj-39716	255	2	review	review	PROPN
esrj-39716	255	3	,	,	PUNCT
esrj-39716	255	4	2	2	NUM
esrj-39716	255	5	-	-	SYM
esrj-39716	255	6	19	19	NUM
esrj-39716	255	7	.	.	PUNCT
esrj-39716	256	1	bajwa	bajwa	PROPN
esrj-39716	256	2	,	,	PUNCT
esrj-39716	256	3	i.	i.	PROPN
esrj-39716	256	4	s.	s.	PROPN
esrj-39716	256	5	,	,	PUNCT
esrj-39716	256	6	&	&	CCONJ
esrj-39716	256	7	choudhary	choudhary	PROPN
esrj-39716	256	8	,	,	PUNCT
esrj-39716	256	9	m.	m.	NOUN
esrj-39716	256	10	a.	a.	NOUN
esrj-39716	256	11	(	(	PUNCT
esrj-39716	256	12	2006	2006	NUM
esrj-39716	256	13	)	)	PUNCT
esrj-39716	256	14	.	.	PUNCT
esrj-39716	257	1	a	a	DET
esrj-39716	257	2	study	study	NOUN
esrj-39716	257	3	for	for	ADP
esrj-39716	257	4	prediction	prediction	NOUN
esrj-39716	257	5	of	of	ADP
esrj-39716	257	6	minerals	mineral	NOUN
esrj-39716	257	7	in	in	ADP
esrj-39716	257	8	rock	rock	NOUN
esrj-39716	257	9	images	image	NOUN
esrj-39716	257	10	using	use	VERB
esrj-39716	257	11	back	back	ADP
esrj-39716	257	12	propagation	propagation	NOUN
esrj-39716	257	13	neural	neural	ADJ
esrj-39716	257	14	networks	network	NOUN
esrj-39716	257	15	.	.	PUNCT
esrj-39716	258	1	international	international	ADJ
esrj-39716	258	2	conference	conference	NOUN
esrj-39716	258	3	on	on	ADP
esrj-39716	258	4	advances	advance	NOUN
esrj-39716	258	5	in	in	ADP
esrj-39716	258	6	space	space	NOUN
esrj-39716	258	7	technologies	technology	NOUN
esrj-39716	258	8	(	(	PUNCT
esrj-39716	258	9	pp	pp	ADJ
esrj-39716	258	10	.	.	PUNCT
esrj-39716	259	1	185	185	NUM
esrj-39716	259	2	-	-	SYM
esrj-39716	259	3	189	189	NUM
esrj-39716	259	4	)	)	PUNCT
esrj-39716	259	5	.	.	PUNCT
esrj-39716	260	1	ieee	ieee	PROPN
esrj-39716	260	2	.	.	PUNCT
esrj-39716	261	1	castillo	castillo	PROPN
esrj-39716	261	2	,	,	PUNCT
esrj-39716	261	3	d.	d.	PROPN
esrj-39716	261	4	a.	a.	PROPN
esrj-39716	261	5	,	,	PUNCT
esrj-39716	261	6	&	&	CCONJ
esrj-39716	261	7	moos	moos	PROPN
esrj-39716	261	8	,	,	PUNCT
esrj-39716	261	9	d.	d.	PROPN
esrj-39716	261	10	(	(	PUNCT
esrj-39716	261	11	2000	2000	NUM
esrj-39716	261	12	)	)	PUNCT
esrj-39716	261	13	.	.	PUNCT
esrj-39716	262	1	reservoir	reservoir	PROPN
esrj-39716	262	2	geomechanics	geomechanic	NOUN
esrj-39716	262	3	applied	apply	VERB
esrj-39716	262	4	to	to	ADP
esrj-39716	262	5	drilling	drilling	NOUN
esrj-39716	262	6	and	and	CCONJ
esrj-39716	262	7	completion	completion	NOUN
esrj-39716	262	8	programs	program	NOUN
esrj-39716	262	9	in	in	ADP
esrj-39716	262	10	challenging	challenging	ADJ
esrj-39716	262	11	formations	formation	NOUN
esrj-39716	262	12	:	:	PUNCT
esrj-39716	262	13	north	north	NOUN
esrj-39716	262	14	west	west	PROPN
esrj-39716	262	15	shelf	shelf	NOUN
esrj-39716	262	16	,	,	PUNCT
esrj-39716	262	17	timor	timor	PROPN
esrj-39716	262	18	sea	sea	PROPN
esrj-39716	262	19	,	,	PUNCT
esrj-39716	262	20	north	north	NOUN
esrj-39716	262	21	sea	sea	PROPN
esrj-39716	262	22	and	and	CCONJ
esrj-39716	262	23	colombia	colombia	PROPN
esrj-39716	262	24	.	.	PUNCT
esrj-39716	263	1	appea	appea	PROPN
esrj-39716	263	2	,	,	PUNCT
esrj-39716	263	3	509	509	NUM
esrj-39716	263	4	-	-	SYM
esrj-39716	263	5	521	521	NUM
esrj-39716	263	6	.	.	PUNCT
esrj-39716	264	1	chang	chang	PROPN
esrj-39716	264	2	,	,	PUNCT
esrj-39716	264	3	t.	t.	PROPN
esrj-39716	264	4	,	,	PUNCT
esrj-39716	264	5	&	&	CCONJ
esrj-39716	264	6	kuo	kuo	PROPN
esrj-39716	264	7	,	,	PUNCT
esrj-39716	264	8	c.-c	c.-c	PROPN
esrj-39716	264	9	.	.	PUNCT
esrj-39716	265	1	j.	j.	PROPN
esrj-39716	265	2	(	(	PUNCT
esrj-39716	265	3	1993	1993	NUM
esrj-39716	265	4	)	)	PUNCT
esrj-39716	265	5	.	.	PUNCT
esrj-39716	266	1	texture	texture	ADJ
esrj-39716	266	2	analysis	analysis	NOUN
esrj-39716	266	3	and	and	CCONJ
esrj-39716	266	4	classification	classification	NOUN
esrj-39716	266	5	with	with	ADP
esrj-39716	266	6	treestructured	treestructure	VERB
esrj-39716	266	7	wavelet	wavelet	NOUN
esrj-39716	266	8	transform	transform	NOUN
esrj-39716	266	9	.	.	PUNCT
esrj-39716	267	1	ieee	ieee	NOUN
esrj-39716	267	2	transactions	transaction	NOUN
esrj-39716	267	3	on	on	ADP
esrj-39716	267	4	image	image	NOUN
esrj-39716	267	5	processing	processing	NOUN
esrj-39716	267	6	,	,	PUNCT
esrj-39716	267	7	429	429	NUM
esrj-39716	267	8	-	-	SYM
esrj-39716	267	9	441	441	NUM
esrj-39716	267	10	.	.	PUNCT
esrj-39716	268	1	clausi	clausi	NOUN
esrj-39716	268	2	,	,	PUNCT
esrj-39716	268	3	d.	d.	PROPN
esrj-39716	268	4	a.	a.	PROPN
esrj-39716	268	5	,	,	PUNCT
esrj-39716	268	6	&	&	CCONJ
esrj-39716	268	7	jernigan	jernigan	PROPN
esrj-39716	268	8	,	,	PUNCT
esrj-39716	268	9	m.	m.	PROPN
esrj-39716	268	10	e.	e.	PROPN
esrj-39716	268	11	(	(	PUNCT
esrj-39716	268	12	2000	2000	NUM
esrj-39716	268	13	)	)	PUNCT
esrj-39716	268	14	.	.	PUNCT
esrj-39716	269	1	designing	design	VERB
esrj-39716	269	2	gabor	gabor	NOUN
esrj-39716	269	3	filters	filter	NOUN
esrj-39716	269	4	for	for	ADP
esrj-39716	269	5	optimal	optimal	ADJ
esrj-39716	269	6	texture	texture	NOUN
esrj-39716	269	7	separability	separability	NOUN
esrj-39716	269	8	.	.	PUNCT
esrj-39716	270	1	pattern	pattern	NOUN
esrj-39716	270	2	recognition	recognition	NOUN
esrj-39716	270	3	,	,	PUNCT
esrj-39716	270	4	33	33	NUM
esrj-39716	270	5	,	,	PUNCT
esrj-39716	270	6	1835	1835	NUM
esrj-39716	270	7	-	-	SYM
esrj-39716	270	8	1849	1849	NUM
esrj-39716	270	9	.	.	PUNCT
esrj-39716	271	1	crida	crida	PROPN
esrj-39716	271	2	,	,	PUNCT
esrj-39716	271	3	r.	r.	PROPN
esrj-39716	271	4	c.	c.	PROPN
esrj-39716	271	5	,	,	PUNCT
esrj-39716	271	6	&	&	CCONJ
esrj-39716	271	7	de	de	X
esrj-39716	271	8	jager	jager	PROPN
esrj-39716	271	9	,	,	PUNCT
esrj-39716	271	10	g.	g.	PROPN
esrj-39716	271	11	(	(	PUNCT
esrj-39716	271	12	1996	1996	NUM
esrj-39716	271	13	)	)	PUNCT
esrj-39716	271	14	.	.	PUNCT
esrj-39716	272	1	multiscalar	multiscalar	ADJ
esrj-39716	272	2	rock	rock	NOUN
esrj-39716	272	3	recognition	recognition	NOUN
esrj-39716	272	4	using	use	VERB
esrj-39716	272	5	active	active	ADJ
esrj-39716	272	6	vision	vision	NOUN
esrj-39716	272	7	.	.	PUNCT
esrj-39716	273	1	international	international	ADJ
esrj-39716	273	2	conference	conference	NOUN
esrj-39716	273	3	on	on	ADP
esrj-39716	273	4	image	image	NOUN
esrj-39716	273	5	processing	processing	NOUN
esrj-39716	273	6	.	.	PUNCT
esrj-39716	274	1	1	1	NUM
esrj-39716	274	2	,	,	PUNCT
esrj-39716	274	3	pp	pp	ADJ
esrj-39716	274	4	.	.	PUNCT
esrj-39716	275	1	345	345	NUM
esrj-39716	275	2	-	-	SYM
esrj-39716	275	3	348	348	NUM
esrj-39716	275	4	.	.	PUNCT
esrj-39716	276	1	ieee	ieee	PROPN
esrj-39716	276	2	.	.	PUNCT
esrj-39716	277	1	galvis	galvis	PROPN
esrj-39716	277	2	,	,	PUNCT
esrj-39716	277	3	l.	l.	PROPN
esrj-39716	277	4	v.	v.	PROPN
esrj-39716	277	5	,	,	PUNCT
esrj-39716	277	6	arguello	arguello	PROPN
esrj-39716	277	7	,	,	PUNCT
esrj-39716	277	8	h.	h.	PROPN
esrj-39716	277	9	,	,	PUNCT
esrj-39716	277	10	&	&	CCONJ
esrj-39716	277	11	tarazona	tarazona	PROPN
esrj-39716	277	12	,	,	PUNCT
esrj-39716	277	13	d.	d.	PROPN
esrj-39716	277	14	(	(	PUNCT
esrj-39716	277	15	2011	2011	NUM
esrj-39716	277	16	)	)	PUNCT
esrj-39716	277	17	.	.	PUNCT
esrj-39716	278	1	digital	digital	ADJ
esrj-39716	278	2	image	image	NOUN
esrj-39716	278	3	processing	processing	NOUN
esrj-39716	278	4	and	and	CCONJ
esrj-39716	278	5	artificial	artificial	ADJ
esrj-39716	278	6	intelligence	intelligence	NOUN
esrj-39716	278	7	applied	apply	VERB
esrj-39716	278	8	to	to	ADP
esrj-39716	278	9	the	the	DET
esrj-39716	278	10	oil	oil	NOUN
esrj-39716	278	11	wells	well	NOUN
esrj-39716	278	12	drilling	drilling	NOUN
esrj-39716	278	13	.	.	PUNCT
esrj-39716	279	1	fuentes	fuente	NOUN
esrj-39716	279	2	:	:	PUNCT
esrj-39716	280	1	el	el	PROPN
esrj-39716	280	2	reventón	reventón	VERB
esrj-39716	280	3	energético	energético	NOUN
esrj-39716	280	4	,	,	PUNCT
esrj-39716	280	5	21	21	NUM
esrj-39716	280	6	-	-	SYM
esrj-39716	280	7	31	31	NUM
esrj-39716	280	8	.	.	PUNCT
esrj-39716	281	1	galvis	galvis	PROPN
esrj-39716	281	2	,	,	PUNCT
esrj-39716	281	3	l.	l.	PROPN
esrj-39716	281	4	v.	v.	PROPN
esrj-39716	281	5	,	,	PUNCT
esrj-39716	281	6	ochoa	ochoa	PROPN
esrj-39716	281	7	,	,	PUNCT
esrj-39716	281	8	c.	c.	PROPN
esrj-39716	281	9	,	,	PUNCT
esrj-39716	281	10	arguello	arguello	PROPN
esrj-39716	281	11	,	,	PUNCT
esrj-39716	281	12	h.	h.	PROPN
esrj-39716	281	13	,	,	PUNCT
esrj-39716	281	14	carvajal	carvajal	PROPN
esrj-39716	281	15	,	,	PUNCT
esrj-39716	281	16	j.	j.	PROPN
esrj-39716	281	17	,	,	PUNCT
esrj-39716	281	18	&	&	CCONJ
esrj-39716	281	19	calderón	calderón	PROPN
esrj-39716	281	20	,	,	PUNCT
esrj-39716	281	21	z.	z.	PROPN
esrj-39716	281	22	h.	h.	PROPN
esrj-39716	281	23	(	(	PUNCT
esrj-39716	281	24	2011	2011	NUM
esrj-39716	281	25	)	)	PUNCT
esrj-39716	281	26	.	.	PUNCT
esrj-39716	282	1	estimation	estimation	NOUN
esrj-39716	282	2	of	of	ADP
esrj-39716	282	3	mechanical	mechanical	ADJ
esrj-39716	282	4	properties	property	NOUN
esrj-39716	282	5	of	of	ADP
esrj-39716	282	6	rock	rock	NOUN
esrj-39716	282	7	using	use	VERB
esrj-39716	282	8	artificial	artificial	ADJ
esrj-39716	282	9	intelligence	intelligence	NOUN
esrj-39716	282	10	.	.	PUNCT
esrj-39716	283	1	ingeniería	ingeniería	PROPN
esrj-39716	283	2	y	y	PROPN
esrj-39716	283	3	ciencia	ciencia	PROPN
esrj-39716	283	4	,	,	PUNCT
esrj-39716	283	5	7	7	NUM
esrj-39716	283	6	(	(	PUNCT
esrj-39716	283	7	14	14	NUM
esrj-39716	283	8	)	)	PUNCT
esrj-39716	283	9	,	,	PUNCT
esrj-39716	283	10	83	83	NUM
esrj-39716	283	11	-	-	SYM
esrj-39716	283	12	103	103	NUM
esrj-39716	283	13	.	.	PUNCT
esrj-39716	284	1	gonzalez	gonzalez	PROPN
esrj-39716	284	2	,	,	PUNCT
esrj-39716	284	3	r.	r.	PROPN
esrj-39716	284	4	c.	c.	PROPN
esrj-39716	284	5	,	,	PUNCT
esrj-39716	284	6	&	&	CCONJ
esrj-39716	284	7	woods	woods	PROPN
esrj-39716	284	8	,	,	PUNCT
esrj-39716	284	9	r.	r.	PROPN
esrj-39716	284	10	e.	e.	PROPN
esrj-39716	284	11	(	(	PUNCT
esrj-39716	284	12	2008	2008	NUM
esrj-39716	284	13	)	)	PUNCT
esrj-39716	284	14	.	.	PUNCT
esrj-39716	285	1	digital	digital	ADJ
esrj-39716	285	2	image	image	NOUN
esrj-39716	285	3	processing	processing	NOUN
esrj-39716	285	4	(	(	PUNCT
esrj-39716	285	5	third	third	ADJ
esrj-39716	285	6	ed	ed	NOUN
esrj-39716	285	7	.	.	PUNCT
esrj-39716	285	8	)	)	PUNCT
esrj-39716	285	9	.	.	PUNCT
esrj-39716	286	1	pearson	pearson	PROPN
esrj-39716	286	2	prentice	prentice	PROPN
esrj-39716	286	3	hall	hall	PROPN
esrj-39716	286	4	.	.	PUNCT
esrj-39716	287	1	haralick	haralick	PROPN
esrj-39716	287	2	,	,	PUNCT
esrj-39716	287	3	r.	r.	PROPN
esrj-39716	287	4	m.	m.	PROPN
esrj-39716	287	5	,	,	PUNCT
esrj-39716	287	6	shanmugan	shanmugan	PROPN
esrj-39716	287	7	,	,	PUNCT
esrj-39716	287	8	k.	k.	PROPN
esrj-39716	287	9	,	,	PUNCT
esrj-39716	287	10	&	&	CCONJ
esrj-39716	287	11	dinstein	dinstein	PROPN
esrj-39716	287	12	,	,	PUNCT
esrj-39716	287	13	i.	i.	PROPN
esrj-39716	287	14	(	(	PUNCT
esrj-39716	287	15	1973	1973	NUM
esrj-39716	287	16	)	)	PUNCT
esrj-39716	287	17	.	.	PUNCT
esrj-39716	288	1	texture	texture	NOUN
esrj-39716	288	2	features	feature	VERB
esrj-39716	288	3	for	for	ADP
esrj-39716	288	4	image	image	NOUN
esrj-39716	288	5	classification	classification	NOUN
esrj-39716	288	6	.	.	PUNCT
esrj-39716	289	1	transactions	transaction	NOUN
esrj-39716	289	2	on	on	ADP
esrj-39716	289	3	systems	system	NOUN
esrj-39716	289	4	,	,	PUNCT
esrj-39716	289	5	man	man	NOUN
esrj-39716	289	6	and	and	CCONJ
esrj-39716	289	7	cybernetics	cybernetic	NOUN
esrj-39716	289	8	,	,	PUNCT
esrj-39716	289	9	3	3	NUM
esrj-39716	289	10	,	,	PUNCT
esrj-39716	289	11	610	610	NUM
esrj-39716	289	12	-	-	SYM
esrj-39716	289	13	621	621	NUM
esrj-39716	289	14	.	.	PUNCT
esrj-39716	290	1	islam	islam	PROPN
esrj-39716	290	2	,	,	PUNCT
esrj-39716	290	3	m.	m.	PROPN
esrj-39716	290	4	j.	j.	PROPN
esrj-39716	290	5	,	,	PUNCT
esrj-39716	290	6	wu	wu	PROPN
esrj-39716	290	7	,	,	PUNCT
esrj-39716	290	8	q.	q.	PROPN
esrj-39716	290	9	j.	j.	PROPN
esrj-39716	290	10	,	,	PUNCT
esrj-39716	290	11	ahmadi	ahmadi	PROPN
esrj-39716	290	12	,	,	PUNCT
esrj-39716	290	13	m.	m.	NOUN
esrj-39716	290	14	,	,	PUNCT
esrj-39716	290	15	&	&	CCONJ
esrj-39716	290	16	sid	sid	PROPN
esrj-39716	290	17	-	-	PUNCT
esrj-39716	290	18	ahmed	ahmed	PROPN
esrj-39716	290	19	,	,	PUNCT
esrj-39716	290	20	a.	a.	NOUN
esrj-39716	290	21	investigating	investigate	VERB
esrj-39716	290	22	the	the	DET
esrj-39716	290	23	performance	performance	NOUN
esrj-39716	290	24	of	of	ADP
esrj-39716	290	25	naive	naive	ADJ
esrj-39716	290	26	-	-	PUNCT
esrj-39716	290	27	bayes	bayes	NOUN
esrj-39716	290	28	classifiers	classifier	NOUN
esrj-39716	290	29	and	and	CCONJ
esrj-39716	290	30	k	k	NOUN
esrj-39716	290	31	-	-	PUNCT
esrj-39716	290	32	nearest	near	ADJ
esrj-39716	290	33	neighbor	neighbor	NOUN
esrj-39716	290	34	classifiers	classifier	NOUN
esrj-39716	290	35	.	.	PUNCT
esrj-39716	291	1	international	international	ADJ
esrj-39716	291	2	conference	conference	NOUN
esrj-39716	291	3	on	on	ADP
esrj-39716	291	4	convergence	convergence	NOUN
esrj-39716	291	5	information	information	NOUN
esrj-39716	291	6	technology	technology	NOUN
esrj-39716	291	7	,	,	PUNCT
esrj-39716	291	8	(	(	PUNCT
esrj-39716	291	9	pp	pp	ADV
esrj-39716	291	10	.	.	PUNCT
esrj-39716	292	1	1541	1541	NUM
esrj-39716	292	2	-	-	SYM
esrj-39716	292	3	1546	1546	NUM
esrj-39716	292	4	)	)	PUNCT
esrj-39716	292	5	.	.	PUNCT
esrj-39716	293	1	gyeongju	gyeongju	PROPN
esrj-39716	293	2	.	.	PUNCT
esrj-39716	294	1	kachanuban	kachanuban	PROPN
esrj-39716	294	2	,	,	PUNCT
esrj-39716	294	3	t.	t.	PROPN
esrj-39716	294	4	,	,	PUNCT
esrj-39716	294	5	&	&	CCONJ
esrj-39716	294	6	udomhunsakul	udomhunsakul	ADJ
esrj-39716	294	7	,	,	PUNCT
esrj-39716	294	8	s.	s.	PROPN
esrj-39716	294	9	(	(	PUNCT
esrj-39716	294	10	2007	2007	NUM
esrj-39716	294	11	)	)	PUNCT
esrj-39716	294	12	.	.	PUNCT
esrj-39716	295	1	natural	natural	ADJ
esrj-39716	295	2	rock	rock	NOUN
esrj-39716	295	3	images	image	NOUN
esrj-39716	295	4	classification	classification	NOUN
esrj-39716	295	5	using	use	VERB
esrj-39716	295	6	spatial	spatial	ADJ
esrj-39716	295	7	frequency	frequency	NOUN
esrj-39716	295	8	measurement	measurement	NOUN
esrj-39716	295	9	.	.	PUNCT
esrj-39716	296	1	international	international	ADJ
esrj-39716	296	2	conference	conference	NOUN
esrj-39716	296	3	on	on	ADP
esrj-39716	296	4	intelligent	intelligent	ADJ
esrj-39716	296	5	and	and	CCONJ
esrj-39716	296	6	advanced	advanced	ADJ
esrj-39716	296	7	systems	system	NOUN
esrj-39716	296	8	,	,	PUNCT
esrj-39716	296	9	(	(	PUNCT
esrj-39716	296	10	pp	pp	X
esrj-39716	296	11	.	.	PUNCT
esrj-39716	296	12	815	815	NUM
esrj-39716	296	13	-	-	SYM
esrj-39716	296	14	818	818	NUM
esrj-39716	296	15	)	)	PUNCT
esrj-39716	296	16	.	.	PUNCT
esrj-39716	297	1	marana	marana	PROPN
esrj-39716	297	2	,	,	PUNCT
esrj-39716	297	3	a.	a.	NOUN
esrj-39716	297	4	n.	n.	PROPN
esrj-39716	297	5	,	,	PUNCT
esrj-39716	297	6	chiachia	chiachia	PROPN
esrj-39716	297	7	,	,	PUNCT
esrj-39716	297	8	g.	g.	PROPN
esrj-39716	297	9	,	,	PUNCT
esrj-39716	297	10	guilherme	guilherme	PROPN
esrj-39716	297	11	,	,	PUNCT
esrj-39716	297	12	i.	i.	PROPN
esrj-39716	297	13	r.	r.	PROPN
esrj-39716	297	14	,	,	PUNCT
esrj-39716	297	15	papa	papa	NOUN
esrj-39716	297	16	,	,	PUNCT
esrj-39716	297	17	j.	j.	PROPN
esrj-39716	297	18	p.	p.	PROPN
esrj-39716	297	19	,	,	PUNCT
esrj-39716	297	20	miura	miura	PROPN
esrj-39716	297	21	,	,	PUNCT
esrj-39716	297	22	k.	k.	PROPN
esrj-39716	297	23	,	,	PUNCT
esrj-39716	297	24	ferreira	ferreira	PROPN
esrj-39716	297	25	,	,	PUNCT
esrj-39716	297	26	v.	v.	PROPN
esrj-39716	297	27	d.	d.	PROPN
esrj-39716	297	28	,	,	PUNCT
esrj-39716	297	29	et	et	PROPN
esrj-39716	297	30	al	al	PROPN
esrj-39716	297	31	.	.	PUNCT
esrj-39716	297	32	(	(	PUNCT
esrj-39716	297	33	2009	2009	NUM
esrj-39716	297	34	)	)	PUNCT
esrj-39716	297	35	.	.	PUNCT
esrj-39716	298	1	an	an	DET
esrj-39716	298	2	intelligent	intelligent	ADJ
esrj-39716	298	3	system	system	NOUN
esrj-39716	298	4	for	for	ADP
esrj-39716	298	5	petroleum	petroleum	NOUN
esrj-39716	298	6	well	well	ADV
esrj-39716	298	7	drilling	drilling	NOUN
esrj-39716	298	8	cutting	cut	VERB
esrj-39716	298	9	analysis	analysis	NOUN
esrj-39716	298	10	.	.	PUNCT
esrj-39716	299	1	international	international	ADJ
esrj-39716	299	2	conference	conference	NOUN
esrj-39716	299	3	on	on	ADP
esrj-39716	299	4	adaptive	adaptive	ADJ
esrj-39716	299	5	and	and	CCONJ
esrj-39716	299	6	intelligent	intelligent	ADJ
esrj-39716	299	7	systems	system	NOUN
esrj-39716	299	8	(	(	PUNCT
esrj-39716	299	9	icais	icais	NOUN
esrj-39716	299	10	2009	2009	NUM
esrj-39716	299	11	)	)	PUNCT
esrj-39716	299	12	(	(	PUNCT
esrj-39716	299	13	pp	pp	ADJ
esrj-39716	299	14	.	.	PUNCT
esrj-39716	300	1	37	37	NUM
esrj-39716	300	2	-	-	SYM
esrj-39716	300	3	42	42	NUM
esrj-39716	300	4	)	)	PUNCT
esrj-39716	300	5	.	.	PUNCT
esrj-39716	301	1	ieee	ieee	PROPN
esrj-39716	301	2	.	.	PUNCT
esrj-39716	301	3	marmo	marmo	PROPN
esrj-39716	301	4	,	,	PUNCT
esrj-39716	301	5	r.	r.	PROPN
esrj-39716	301	6	,	,	PUNCT
esrj-39716	301	7	amodio	amodio	NOUN
esrj-39716	301	8	,	,	PUNCT
esrj-39716	301	9	s.	s.	PROPN
esrj-39716	301	10	,	,	PUNCT
esrj-39716	301	11	tagliaferri	tagliaferri	PROPN
esrj-39716	301	12	,	,	PUNCT
esrj-39716	301	13	r.	r.	PROPN
esrj-39716	301	14	,	,	PUNCT
esrj-39716	301	15	ferreri	ferreri	PROPN
esrj-39716	301	16	,	,	PUNCT
esrj-39716	301	17	v.	v.	PROPN
esrj-39716	301	18	,	,	PUNCT
esrj-39716	301	19	&	&	CCONJ
esrj-39716	301	20	longo	longo	PROPN
esrj-39716	301	21	,	,	PUNCT
esrj-39716	301	22	g.	g.	PROPN
esrj-39716	301	23	(	(	PUNCT
esrj-39716	301	24	2005	2005	NUM
esrj-39716	301	25	)	)	PUNCT
esrj-39716	301	26	.	.	PUNCT
esrj-39716	302	1	textural	textural	ADJ
esrj-39716	302	2	identification	identification	NOUN
esrj-39716	302	3	of	of	ADP
esrj-39716	302	4	carbonate	carbonate	NOUN
esrj-39716	302	5	rocks	rock	NOUN
esrj-39716	302	6	by	by	ADP
esrj-39716	302	7	image	image	NOUN
esrj-39716	302	8	processing	processing	NOUN
esrj-39716	302	9	and	and	CCONJ
esrj-39716	302	10	neural	neural	ADJ
esrj-39716	302	11	network	network	NOUN
esrj-39716	302	12	:	:	PUNCT
esrj-39716	302	13	methodology	methodology	NOUN
esrj-39716	302	14	proposal	proposal	NOUN
esrj-39716	302	15	and	and	CCONJ
esrj-39716	302	16	examples	example	NOUN
esrj-39716	302	17	.	.	PUNCT
esrj-39716	303	1	computers	computer	NOUN
esrj-39716	303	2	&	&	CCONJ
esrj-39716	303	3	geosciences	geoscience	NOUN
esrj-39716	303	4	,	,	PUNCT
esrj-39716	303	5	31	31	NUM
esrj-39716	303	6	(	(	PUNCT
esrj-39716	303	7	5	5	NUM
esrj-39716	303	8	)	)	PUNCT
esrj-39716	303	9	,	,	PUNCT
esrj-39716	303	10	649	649	NUM
esrj-39716	303	11	-	-	SYM
esrj-39716	303	12	659	659	NUM
esrj-39716	303	13	.	.	PUNCT
esrj-39716	303	14	mengko	mengko	PROPN
esrj-39716	303	15	,	,	PUNCT
esrj-39716	303	16	t.	t.	PROPN
esrj-39716	303	17	r.	r.	PROPN
esrj-39716	303	18	,	,	PUNCT
esrj-39716	303	19	susilowati	susilowati	NOUN
esrj-39716	303	20	,	,	PUNCT
esrj-39716	303	21	y.	y.	PROPN
esrj-39716	303	22	,	,	PUNCT
esrj-39716	303	23	mengko	mengko	PROPN
esrj-39716	303	24	,	,	PUNCT
esrj-39716	303	25	r.	r.	PROPN
esrj-39716	303	26	,	,	PUNCT
esrj-39716	303	27	&	&	CCONJ
esrj-39716	303	28	leksono	leksono	PROPN
esrj-39716	303	29	,	,	PUNCT
esrj-39716	303	30	b.	b.	PROPN
esrj-39716	303	31	e.	e.	PROPN
esrj-39716	303	32	(	(	PUNCT
esrj-39716	303	33	2000	2000	NUM
esrj-39716	303	34	)	)	PUNCT
esrj-39716	303	35	.	.	PUNCT
esrj-39716	304	1	digital	digital	ADJ
esrj-39716	304	2	image	image	NOUN
esrj-39716	304	3	processing	processing	NOUN
esrj-39716	304	4	technique	technique	NOUN
esrj-39716	304	5	in	in	ADP
esrj-39716	304	6	rock	rock	NOUN
esrj-39716	304	7	forming	form	VERB
esrj-39716	304	8	minerals	mineral	NOUN
esrj-39716	304	9	identification	identification	NOUN
esrj-39716	304	10	.	.	PUNCT
esrj-39716	305	1	the	the	DET
esrj-39716	305	2	2000	2000	NUM
esrj-39716	305	3	ieee	ieee	NOUN
esrj-39716	305	4	asia	asia	PROPN
esrj-39716	305	5	-	-	PUNCT
esrj-39716	305	6	pacific	pacific	PROPN
esrj-39716	305	7	conference	conference	NOUN
esrj-39716	305	8	on	on	ADP
esrj-39716	305	9	circuits	circuit	NOUN
esrj-39716	305	10	and	and	CCONJ
esrj-39716	305	11	systems	system	NOUN
esrj-39716	305	12	.	.	PUNCT
esrj-39716	306	1	(	(	PUNCT
esrj-39716	306	2	pp	pp	ADJ
esrj-39716	306	3	.	.	PUNCT
esrj-39716	307	1	441	441	NUM
esrj-39716	307	2	-	-	SYM
esrj-39716	307	3	444	444	NUM
esrj-39716	307	4	)	)	PUNCT
esrj-39716	307	5	.	.	PUNCT
esrj-39716	308	1	ieee	ieee	PROPN
esrj-39716	308	2	.	.	PUNCT
esrj-39716	309	1	shen	shen	PROPN
esrj-39716	309	2	,	,	PUNCT
esrj-39716	309	3	l.	l.	PROPN
esrj-39716	309	4	,	,	PUNCT
esrj-39716	309	5	jia	jia	PROPN
esrj-39716	309	6	,	,	PUNCT
esrj-39716	309	7	s.	s.	PROPN
esrj-39716	309	8	,	,	PUNCT
esrj-39716	309	9	&	&	CCONJ
esrj-39716	309	10	chen	chen	PROPN
esrj-39716	309	11	,	,	PUNCT
esrj-39716	309	12	w.	w.	PROPN
esrj-39716	309	13	(	(	PUNCT
esrj-39716	309	14	2011	2011	NUM
esrj-39716	309	15	)	)	PUNCT
esrj-39716	309	16	.	.	PUNCT
esrj-39716	310	1	extracting	extract	VERB
esrj-39716	310	2	local	local	ADJ
esrj-39716	310	3	texture	texture	NOUN
esrj-39716	310	4	features	feature	NOUN
esrj-39716	310	5	for	for	ADP
esrj-39716	310	6	imagebased	imagebase	VERB
esrj-39716	310	7	coin	coin	NOUN
esrj-39716	310	8	recognition	recognition	NOUN
esrj-39716	310	9	.	.	PUNCT
esrj-39716	311	1	iet	iet	PROPN
esrj-39716	311	2	image	image	PROPN
esrj-39716	311	3	processing	processing	NOUN
esrj-39716	311	4	,	,	PUNCT
esrj-39716	311	5	5	5	NUM
esrj-39716	311	6	(	(	PUNCT
esrj-39716	311	7	5	5	NUM
esrj-39716	311	8	)	)	PUNCT
esrj-39716	311	9	,	,	PUNCT
esrj-39716	311	10	394	394	NUM
esrj-39716	311	11	-	-	SYM
esrj-39716	311	12	401	401	NUM
esrj-39716	311	13	.	.	PUNCT
esrj-39716	312	1	singh	singh	PROPN
esrj-39716	312	2	,	,	PUNCT
esrj-39716	312	3	n.	n.	NOUN
esrj-39716	312	4	,	,	PUNCT
esrj-39716	312	5	singh	singh	PROPN
esrj-39716	312	6	,	,	PUNCT
esrj-39716	312	7	t.	t.	PROPN
esrj-39716	312	8	n.	n.	PROPN
esrj-39716	312	9	,	,	PUNCT
esrj-39716	312	10	tiwary	tiwary	PROPN
esrj-39716	312	11	,	,	PUNCT
esrj-39716	312	12	a.	a.	NOUN
esrj-39716	312	13	,	,	PUNCT
esrj-39716	312	14	&	&	CCONJ
esrj-39716	312	15	sarkar	sarkar	PROPN
esrj-39716	312	16	,	,	PUNCT
esrj-39716	312	17	k.	k.	PROPN
esrj-39716	312	18	m.	m.	PROPN
esrj-39716	312	19	(	(	PUNCT
esrj-39716	312	20	2010	2010	NUM
esrj-39716	312	21	)	)	PUNCT
esrj-39716	312	22	.	.	PUNCT
esrj-39716	313	1	textural	textural	ADJ
esrj-39716	313	2	identification	identification	NOUN
esrj-39716	313	3	of	of	ADP
esrj-39716	313	4	basaltic	basaltic	ADJ
esrj-39716	313	5	rock	rock	NOUN
esrj-39716	313	6	mass	mass	NOUN
esrj-39716	313	7	using	use	VERB
esrj-39716	313	8	image	image	NOUN
esrj-39716	313	9	processing	processing	NOUN
esrj-39716	313	10	and	and	CCONJ
esrj-39716	313	11	neural	neural	ADJ
esrj-39716	313	12	network	network	NOUN
esrj-39716	313	13	.	.	PUNCT
esrj-39716	314	1	computational	computational	ADJ
esrj-39716	314	2	geosciences	geoscience	NOUN
esrj-39716	314	3	,	,	PUNCT
esrj-39716	314	4	14	14	NUM
esrj-39716	314	5	(	(	PUNCT
esrj-39716	314	6	2	2	NUM
esrj-39716	314	7	)	)	PUNCT
esrj-39716	314	8	,	,	PUNCT
esrj-39716	314	9	301	301	NUM
esrj-39716	314	10	-	-	SYM
esrj-39716	314	11	310	310	NUM
esrj-39716	314	12	.	.	PUNCT
esrj-39716	315	1	thompson	thompson	PROPN
esrj-39716	315	2	,	,	PUNCT
esrj-39716	315	3	d.	d.	PROPN
esrj-39716	315	4	,	,	PUNCT
esrj-39716	315	5	niekum	niekum	NOUN
esrj-39716	315	6	,	,	PUNCT
esrj-39716	315	7	s.	s.	PROPN
esrj-39716	315	8	,	,	PUNCT
esrj-39716	315	9	smith	smith	PROPN
esrj-39716	315	10	,	,	PUNCT
esrj-39716	315	11	t.	t.	PROPN
esrj-39716	315	12	,	,	PUNCT
esrj-39716	315	13	&	&	CCONJ
esrj-39716	315	14	wettergreen	wettergreen	PROPN
esrj-39716	315	15	,	,	PUNCT
esrj-39716	315	16	d.	d.	PROPN
esrj-39716	315	17	(	(	PUNCT
esrj-39716	315	18	2005	2005	NUM
esrj-39716	315	19	)	)	PUNCT
esrj-39716	315	20	.	.	PUNCT
esrj-39716	316	1	automatic	automatic	ADJ
esrj-39716	316	2	detection	detection	NOUN
esrj-39716	316	3	and	and	CCONJ
esrj-39716	316	4	classification	classification	NOUN
esrj-39716	316	5	of	of	ADP
esrj-39716	316	6	features	feature	NOUN
esrj-39716	316	7	of	of	ADP
esrj-39716	316	8	geologic	geologic	ADJ
esrj-39716	316	9	interest	interest	NOUN
esrj-39716	316	10	.	.	PUNCT
esrj-39716	317	1	2005	2005	NUM
esrj-39716	317	2	ieee	ieee	PROPN
esrj-39716	317	3	aerospace	aerospace	NOUN
esrj-39716	317	4	conference	conference	NOUN
esrj-39716	317	5	,	,	PUNCT
esrj-39716	317	6	(	(	PUNCT
esrj-39716	317	7	pp	pp	ADV
esrj-39716	317	8	.	.	PUNCT
esrj-39716	318	1	366	366	NUM
esrj-39716	318	2	-	-	SYM
esrj-39716	318	3	377	377	NUM
esrj-39716	318	4	)	)	PUNCT
esrj-39716	318	5	.	.	PUNCT
esrj-39716	319	1	tou	tou	PROPN
esrj-39716	319	2	,	,	PUNCT
esrj-39716	319	3	j.	j.	PROPN
esrj-39716	319	4	y.	y.	PROPN
esrj-39716	319	5	,	,	PUNCT
esrj-39716	319	6	tay	tay	PROPN
esrj-39716	319	7	,	,	PUNCT
esrj-39716	319	8	y.	y.	PROPN
esrj-39716	319	9	h.	h.	PROPN
esrj-39716	319	10	,	,	PUNCT
esrj-39716	319	11	&	&	CCONJ
esrj-39716	319	12	lau	lau	PROPN
esrj-39716	319	13	,	,	PUNCT
esrj-39716	319	14	p.	p.	PROPN
esrj-39716	319	15	y.	y.	PROPN
esrj-39716	319	16	(	(	PUNCT
esrj-39716	319	17	2009	2009	NUM
esrj-39716	319	18	)	)	PUNCT
esrj-39716	319	19	.	.	PUNCT
esrj-39716	320	1	gabor	gabor	PROPN
esrj-39716	320	2	filters	filter	NOUN
esrj-39716	320	3	as	as	ADP
esrj-39716	320	4	feature	feature	NOUN
esrj-39716	320	5	images	image	NOUN
esrj-39716	320	6	for	for	ADP
esrj-39716	320	7	covariance	covariance	NOUN
esrj-39716	320	8	matrix	matrix	NOUN
esrj-39716	320	9	on	on	ADP
esrj-39716	320	10	texture	texture	ADJ
esrj-39716	320	11	classification	classification	NOUN
esrj-39716	320	12	problem	problem	NOUN
esrj-39716	320	13	.	.	PUNCT
esrj-39716	321	1	advances	advance	NOUN
esrj-39716	321	2	in	in	ADP
esrj-39716	321	3	neuro	neuro	NOUN
esrj-39716	321	4	-	-	PUNCT
esrj-39716	321	5	information	information	NOUN
esrj-39716	321	6	processing	processing	NOUN
esrj-39716	321	7	lecture	lecture	NOUN
esrj-39716	321	8	notes	note	NOUN
esrj-39716	321	9	in	in	ADP
esrj-39716	321	10	computer	computer	NOUN
esrj-39716	321	11	science	science	NOUN
esrj-39716	321	12	,	,	PUNCT
esrj-39716	321	13	5507	5507	NUM
esrj-39716	321	14	,	,	PUNCT
esrj-39716	321	15	745	745	NUM
esrj-39716	321	16	-	-	SYM
esrj-39716	321	17	751	751	NUM
esrj-39716	321	18	.	.	PUNCT
esrj-39716	322	1	wang	wang	PROPN
esrj-39716	322	2	,	,	PUNCT
esrj-39716	322	3	q.	q.	PROPN
esrj-39716	322	4	,	,	PUNCT
esrj-39716	322	5	&	&	CCONJ
esrj-39716	322	6	lin	lin	PROPN
esrj-39716	322	7	,	,	PUNCT
esrj-39716	322	8	q.	q.	PROPN
esrj-39716	322	9	(	(	PUNCT
esrj-39716	322	10	2005	2005	NUM
esrj-39716	322	11	)	)	PUNCT
esrj-39716	322	12	.	.	PUNCT
esrj-39716	323	1	rock	rock	NOUN
esrj-39716	323	2	types	type	NOUN
esrj-39716	323	3	detection	detection	NOUN
esrj-39716	323	4	and	and	CCONJ
esrj-39716	323	5	classification	classification	NOUN
esrj-39716	323	6	through	through	ADP
esrj-39716	323	7	the	the	DET
esrj-39716	323	8	orthogonal	orthogonal	ADJ
esrj-39716	323	9	subspace	subspace	NOUN
esrj-39716	323	10	projection	projection	NOUN
esrj-39716	323	11	approach	approach	NOUN
esrj-39716	323	12	.	.	PUNCT
esrj-39716	324	1	international	international	ADJ
esrj-39716	324	2	geoscience	geoscience	PROPN
esrj-39716	324	3	and	and	CCONJ
esrj-39716	324	4	remote	remote	ADJ
esrj-39716	324	5	sensing	sense	VERB
esrj-39716	324	6	symposium	symposium	NOUN
esrj-39716	324	7	.	.	PUNCT
esrj-39716	325	1	igarss	igarss	PROPN
esrj-39716	325	2	.	.	PUNCT
esrj-39716	326	1	4	4	NUM
esrj-39716	326	2	,	,	PUNCT
esrj-39716	326	3	pp	pp	ADJ
esrj-39716	326	4	.	.	PUNCT
esrj-39716	327	1	2910	2910	NUM
esrj-39716	327	2	-	-	SYM
esrj-39716	327	3	2913	2913	NUM
esrj-39716	327	4	.	.	PUNCT
esrj-39716	328	1	ieee	ieee	PROPN
esrj-39716	328	2	.	.	PUNCT
esrj-39716	329	1	zhang	zhang	PROPN
esrj-39716	329	2	,	,	PUNCT
esrj-39716	329	3	j.	j.	PROPN
esrj-39716	329	4	,	,	PUNCT
esrj-39716	329	5	tan	tan	PROPN
esrj-39716	329	6	,	,	PUNCT
esrj-39716	329	7	t.	t.	PROPN
esrj-39716	329	8	,	,	PUNCT
esrj-39716	329	9	&	&	CCONJ
esrj-39716	329	10	ma	ma	PROPN
esrj-39716	329	11	,	,	PUNCT
esrj-39716	329	12	l.	l.	PROPN
esrj-39716	329	13	(	(	PUNCT
esrj-39716	329	14	2002	2002	NUM
esrj-39716	329	15	)	)	PUNCT
esrj-39716	329	16	.	.	PUNCT
esrj-39716	330	1	invariant	invariant	ADJ
esrj-39716	330	2	texture	texture	ADJ
esrj-39716	330	3	segmentation	segmentation	NOUN
esrj-39716	330	4	via	via	ADP
esrj-39716	330	5	circular	circular	ADJ
esrj-39716	330	6	gabor	gabor	NOUN
esrj-39716	330	7	filters	filter	NOUN
esrj-39716	330	8	.	.	PUNCT
esrj-39716	331	1	16th	16th	ADJ
esrj-39716	331	2	international	international	ADJ
esrj-39716	331	3	conference	conference	NOUN
esrj-39716	331	4	on	on	ADP
esrj-39716	331	5	pattern	pattern	NOUN
esrj-39716	331	6	recognition	recognition	NOUN
esrj-39716	331	7	,	,	PUNCT
esrj-39716	331	8	901	901	NUM
esrj-39716	331	9	-	-	SYM
esrj-39716	331	10	904	904	NUM
esrj-39716	331	11	.	.	PUNCT