id	sid	tid	token	lemma	pos
esrj-66107	1	1	although	although	SCONJ
esrj-66107	1	2	scholars	scholar	NOUN
esrj-66107	1	3	have	have	AUX
esrj-66107	1	4	conducted	conduct	VERB
esrj-66107	1	5	numerous	numerous	ADJ
esrj-66107	1	6	researches	research	NOUN
esrj-66107	1	7	on	on	ADP
esrj-66107	1	8	content	content	NOUN
esrj-66107	1	9	-	-	PUNCT
esrj-66107	1	10	based	base	VERB
esrj-66107	1	11	image	image	NOUN
esrj-66107	1	12	retrieval	retrieval	NOUN
esrj-66107	1	13	and	and	CCONJ
esrj-66107	1	14	obtained	obtain	VERB
esrj-66107	1	15	great	great	ADJ
esrj-66107	1	16	achievements	achievement	NOUN
esrj-66107	1	17	,	,	PUNCT
esrj-66107	1	18	they	they	PRON
esrj-66107	1	19	make	make	VERB
esrj-66107	1	20	little	little	ADJ
esrj-66107	1	21	progress	progress	NOUN
esrj-66107	1	22	in	in	ADP
esrj-66107	1	23	studying	study	VERB
esrj-66107	1	24	remote	remote	ADJ
esrj-66107	1	25	sensing	sense	VERB
esrj-66107	1	26	image	image	NOUN
esrj-66107	1	27	retrieval	retrieval	NOUN
esrj-66107	1	28	.	.	PUNCT
esrj-66107	2	1	both	both	DET
esrj-66107	2	2	theoretical	theoretical	ADJ
esrj-66107	2	3	and	and	CCONJ
esrj-66107	2	4	application	application	NOUN
esrj-66107	2	5	systems	system	NOUN
esrj-66107	2	6	are	be	AUX
esrj-66107	2	7	immature	immature	ADJ
esrj-66107	2	8	.	.	PUNCT
esrj-66107	3	1	since	since	SCONJ
esrj-66107	3	2	remote	remote	ADJ
esrj-66107	3	3	sensing	sensing	NOUN
esrj-66107	3	4	images	image	NOUN
esrj-66107	3	5	are	be	AUX
esrj-66107	3	6	characterized	characterize	VERB
esrj-66107	3	7	by	by	ADP
esrj-66107	3	8	large	large	ADJ
esrj-66107	3	9	data	datum	NOUN
esrj-66107	3	10	volume	volume	NOUN
esrj-66107	3	11	,	,	PUNCT
esrj-66107	3	12	broad	broad	ADJ
esrj-66107	3	13	coverage	coverage	NOUN
esrj-66107	3	14	,	,	PUNCT
esrj-66107	3	15	vague	vague	ADJ
esrj-66107	3	16	themes	theme	NOUN
esrj-66107	3	17	and	and	CCONJ
esrj-66107	3	18	rich	rich	ADJ
esrj-66107	3	19	semantics	semantic	NOUN
esrj-66107	3	20	,	,	PUNCT
esrj-66107	3	21	the	the	DET
esrj-66107	3	22	research	research	NOUN
esrj-66107	3	23	results	result	VERB
esrj-66107	3	24	on	on	ADP
esrj-66107	3	25	natural	natural	ADJ
esrj-66107	3	26	images	image	NOUN
esrj-66107	3	27	and	and	CCONJ
esrj-66107	3	28	medical	medical	ADJ
esrj-66107	3	29	images	image	NOUN
esrj-66107	3	30	can	can	AUX
esrj-66107	3	31	not	not	PART
esrj-66107	3	32	be	be	AUX
esrj-66107	3	33	directly	directly	ADV
esrj-66107	3	34	used	use	VERB
esrj-66107	3	35	in	in	ADP
esrj-66107	3	36	remote	remote	ADJ
esrj-66107	3	37	sensing	sense	VERB
esrj-66107	3	38	image	image	NOUN
esrj-66107	3	39	retrieval	retrieval	NOUN
esrj-66107	3	40	.	.	PUNCT
esrj-66107	4	1	even	even	ADV
esrj-66107	4	2	perfect	perfect	VERB
esrj-66107	4	3	content	content	NOUN
esrj-66107	4	4	-	-	PUNCT
esrj-66107	4	5	based	base	VERB
esrj-66107	4	6	remote	remote	ADJ
esrj-66107	4	7	sensing	sense	VERB
esrj-66107	4	8	image	image	NOUN
esrj-66107	4	9	retrieval	retrieval	NOUN
esrj-66107	4	10	systems	system	NOUN
esrj-66107	4	11	have	have	VERB
esrj-66107	4	12	many	many	ADJ
esrj-66107	4	13	difficulties	difficulty	NOUN
esrj-66107	4	14	with	with	ADP
esrj-66107	4	15	data	datum	NOUN
esrj-66107	4	16	organization	organization	NOUN
esrj-66107	4	17	,	,	PUNCT
esrj-66107	4	18	storage	storage	NOUN
esrj-66107	4	19	and	and	CCONJ
esrj-66107	4	20	management	management	NOUN
esrj-66107	4	21	,	,	PUNCT
esrj-66107	4	22	feature	feature	NOUN
esrj-66107	4	23	description	description	NOUN
esrj-66107	4	24	and	and	CCONJ
esrj-66107	4	25	extraction	extraction	NOUN
esrj-66107	4	26	,	,	PUNCT
esrj-66107	4	27	similarity	similarity	NOUN
esrj-66107	4	28	measurement	measurement	NOUN
esrj-66107	4	29	,	,	PUNCT
esrj-66107	4	30	relevance	relevance	NOUN
esrj-66107	4	31	feedback	feedback	NOUN
esrj-66107	4	32	,	,	PUNCT
esrj-66107	4	33	network	network	NOUN
esrj-66107	4	34	service	service	NOUN
esrj-66107	4	35	mode	mode	NOUN
esrj-66107	4	36	,	,	PUNCT
esrj-66107	4	37	and	and	CCONJ
esrj-66107	4	38	system	system	NOUN
esrj-66107	4	39	structure	structure	NOUN
esrj-66107	4	40	design	design	NOUN
esrj-66107	4	41	and	and	CCONJ
esrj-66107	4	42	implementation	implementation	NOUN
esrj-66107	4	43	.	.	PUNCT
esrj-66107	5	1	this	this	DET
esrj-66107	5	2	paper	paper	NOUN
esrj-66107	5	3	proposes	propose	VERB
esrj-66107	5	4	a	a	DET
esrj-66107	5	5	remote	remote	ADJ
esrj-66107	5	6	sensing	sense	VERB
esrj-66107	5	7	image	image	NOUN
esrj-66107	5	8	retrieval	retrieval	NOUN
esrj-66107	5	9	algorithm	algorithm	NOUN
esrj-66107	5	10	that	that	PRON
esrj-66107	5	11	combines	combine	VERB
esrj-66107	5	12	co	co	ADJ
esrj-66107	5	13	-	-	NOUN
esrj-66107	5	14	occurrence	occurrence	ADJ
esrj-66107	5	15	region	region	NOUN
esrj-66107	5	16	based	base	VERB
esrj-66107	5	17	bayesian	bayesian	NOUN
esrj-66107	5	18	network	network	NOUN
esrj-66107	5	19	image	image	NOUN
esrj-66107	5	20	retrieval	retrieval	NOUN
esrj-66107	5	21	with	with	ADP
esrj-66107	5	22	average	average	ADJ
esrj-66107	5	23	high	high	ADJ
esrj-66107	5	24	-	-	PUNCT
esrj-66107	5	25	frequency	frequency	NOUN
esrj-66107	5	26	signal	signal	NOUN
esrj-66107	5	27	strength	strength	NOUN
esrj-66107	5	28	.	.	PUNCT
esrj-66107	6	1	by	by	ADP
esrj-66107	6	2	bayesian	bayesian	NOUN
esrj-66107	6	3	networks	network	NOUN
esrj-66107	6	4	,	,	PUNCT
esrj-66107	6	5	it	it	PRON
esrj-66107	6	6	establishes	establish	VERB
esrj-66107	6	7	correspondence	correspondence	NOUN
esrj-66107	6	8	relationships	relationship	NOUN
esrj-66107	6	9	between	between	ADP
esrj-66107	6	10	images	image	NOUN
esrj-66107	6	11	and	and	CCONJ
esrj-66107	6	12	semantics	semantic	NOUN
esrj-66107	6	13	,	,	PUNCT
esrj-66107	6	14	thereby	thereby	ADV
esrj-66107	6	15	realizing	realize	VERB
esrj-66107	6	16	semantic	semantic	ADJ
esrj-66107	6	17	-	-	PUNCT
esrj-66107	6	18	based	base	VERB
esrj-66107	6	19	retrieval	retrieval	NOUN
esrj-66107	6	20	of	of	ADP
esrj-66107	6	21	remote	remote	ADJ
esrj-66107	6	22	sensing	sensing	NOUN
esrj-66107	6	23	images	image	NOUN
esrj-66107	6	24	.	.	PUNCT
esrj-66107	7	1	in	in	ADP
esrj-66107	7	2	the	the	DET
esrj-66107	7	3	meantime	meantime	NOUN
esrj-66107	7	4	,	,	PUNCT
esrj-66107	7	5	integrated	integrated	ADJ
esrj-66107	7	6	region	region	NOUN
esrj-66107	7	7	matching	matching	NOUN
esrj-66107	7	8	is	be	AUX
esrj-66107	7	9	introduced	introduce	VERB
esrj-66107	7	10	for	for	ADP
esrj-66107	7	11	iterative	iterative	NOUN
esrj-66107	7	12	retrieval	retrieval	NOUN
esrj-66107	7	13	,	,	PUNCT
esrj-66107	7	14	which	which	PRON
esrj-66107	7	15	effectively	effectively	ADV
esrj-66107	7	16	improves	improve	VERB
esrj-66107	7	17	the	the	DET
esrj-66107	7	18	precision	precision	NOUN
esrj-66107	7	19	of	of	ADP
esrj-66107	7	20	semantic	semantic	ADJ
esrj-66107	7	21	retrieval	retrieval	NOUN
esrj-66107	7	22	.	.	PUNCT
esrj-66107	8	1	abstract	abstract	ADJ
esrj-66107	8	2	keywords	keyword	NOUN
esrj-66107	8	3	:	:	PUNCT
esrj-66107	8	4	the	the	DET
esrj-66107	8	5	bayesian	bayesian	NOUN
esrj-66107	8	6	network	network	NOUN
esrj-66107	8	7	;	;	PUNCT
esrj-66107	8	8	co	co	ADJ
esrj-66107	8	9	-	-	NOUN
esrj-66107	8	10	occurrence	occurrence	ADJ
esrj-66107	8	11	region	region	NOUN
esrj-66107	8	12	;	;	PUNCT
esrj-66107	8	13	remote	remote	ADJ
esrj-66107	8	14	sensing	sense	VERB
esrj-66107	8	15	image	image	NOUN
esrj-66107	8	16	retrieval	retrieval	NOUN
esrj-66107	8	17	.	.	PUNCT
esrj-66107	9	1	a	a	DET
esrj-66107	9	2	co	co	ADJ
esrj-66107	9	3	-	-	NOUN
esrj-66107	9	4	occurrence	occurrence	ADJ
esrj-66107	9	5	region	region	NOUN
esrj-66107	9	6	based	base	VERB
esrj-66107	9	7	bayesian	bayesian	NOUN
esrj-66107	9	8	network	network	NOUN
esrj-66107	9	9	stepwise	stepwise	NOUN
esrj-66107	9	10	remote	remote	ADJ
esrj-66107	9	11	sensing	sense	VERB
esrj-66107	9	12	image	image	NOUN
esrj-66107	9	13	retrieval	retrieval	NOUN
esrj-66107	9	14	algorithm	algorithm	NOUN
esrj-66107	9	15	issn	issn	PROPN
esrj-66107	9	16	1794	1794	NUM
esrj-66107	9	17	-	-	SYM
esrj-66107	9	18	6190	6190	NUM
esrj-66107	9	19	e	e	NOUN
esrj-66107	9	20	-	-	NOUN
esrj-66107	9	21	issn	issn	PROPN
esrj-66107	9	22	2339	2339	NUM
esrj-66107	9	23	-	-	SYM
esrj-66107	9	24	3459	3459	NUM
esrj-66107	9	25	http://dx.doi.org/10.15446/esrj.v22n1.66107	http://dx.doi.org/10.15446/esrj.v22n1.66107	VERB
esrj-66107	9	26	rui	rui	PROPN
esrj-66107	9	27	zeng1	zeng1	PROPN
esrj-66107	9	28	,	,	PUNCT
esrj-66107	9	29	2	2	NUM
esrj-66107	9	30	,	,	PUNCT
esrj-66107	9	31	*	*	ADJ
esrj-66107	9	32	,	,	PUNCT
esrj-66107	9	33	yingyan	yingyan	ADJ
esrj-66107	9	34	wang1	wang1	PROPN
esrj-66107	9	35	,	,	PUNCT
esrj-66107	9	36	wanliang	wanliang	PROPN
esrj-66107	9	37	wang2	wang2	PROPN
esrj-66107	10	1	1school	1school	NUM
esrj-66107	10	2	of	of	ADP
esrj-66107	10	3	electro	electro	VERB
esrj-66107	10	4	-	-	PUNCT
esrj-66107	10	5	mechanical	mechanical	ADJ
esrj-66107	10	6	and	and	CCONJ
esrj-66107	10	7	information	information	NOUN
esrj-66107	10	8	technology	technology	NOUN
esrj-66107	10	9	,	,	PUNCT
esrj-66107	10	10	yi	yi	PROPN
esrj-66107	10	11	wu	wu	PROPN
esrj-66107	10	12	industrial	industrial	PROPN
esrj-66107	10	13	&	&	CCONJ
esrj-66107	10	14	commercial	commercial	PROPN
esrj-66107	10	15	college	college	PROPN
esrj-66107	10	16	,	,	PUNCT
esrj-66107	10	17	yiwu	yiwu	PROPN
esrj-66107	10	18	322000	322000	NUM
esrj-66107	10	19	,	,	PUNCT
esrj-66107	10	20	china	china	PROPN
esrj-66107	10	21	2college	2college	PROPN
esrj-66107	10	22	of	of	ADP
esrj-66107	10	23	computer	computer	NOUN
esrj-66107	10	24	science	science	PROPN
esrj-66107	10	25	&	&	CCONJ
esrj-66107	10	26	technology	technology	PROPN
esrj-66107	10	27	,	,	PUNCT
esrj-66107	10	28	zhejiang	zhejiang	PROPN
esrj-66107	10	29	university	university	PROPN
esrj-66107	10	30	of	of	ADP
esrj-66107	10	31	technology	technology	PROPN
esrj-66107	10	32	,	,	PUNCT
esrj-66107	10	33	hangzhou	hangzhou	PROPN
esrj-66107	10	34	310014	310014	NUM
esrj-66107	10	35	,	,	PUNCT
esrj-66107	10	36	china	china	PROPN
esrj-66107	10	37	*	*	PUNCT
esrj-66107	10	38	email	email	NOUN
esrj-66107	10	39	of	of	ADP
esrj-66107	10	40	corresponding	corresponding	ADJ
esrj-66107	10	41	author	author	NOUN
esrj-66107	10	42	:	:	PUNCT
esrj-66107	10	43	jamse007@126.com	jamse007@126.com	X
esrj-66107	10	44	earth	earth	PROPN
esrj-66107	10	45	sciences	sciences	PROPN
esrj-66107	10	46	research	research	PROPN
esrj-66107	10	47	journal	journal	PROPN
esrj-66107	10	48	earth	earth	PROPN
esrj-66107	10	49	sci	sci	PROPN
esrj-66107	10	50	.	.	PUNCT
esrj-66107	11	1	res	res	PROPN
esrj-66107	11	2	.	.	PUNCT
esrj-66107	12	1	j.	j.	PROPN
esrj-66107	12	2	vol	vol	PROPN
esrj-66107	12	3	.	.	PROPN
esrj-66107	13	1	22	22	NUM
esrj-66107	13	2	,	,	PUNCT
esrj-66107	13	3	no	no	INTJ
esrj-66107	13	4	.	.	NOUN
esrj-66107	13	5	1	1	NUM
esrj-66107	13	6	(	(	PUNCT
esrj-66107	13	7	march	march	NOUN
esrj-66107	13	8	,	,	PUNCT
esrj-66107	13	9	2018	2018	NUM
esrj-66107	13	10	):	):	PUNCT
esrj-66107	13	11	29	29	NUM
esrj-66107	13	12	-	-	SYM
esrj-66107	13	13	35	35	NUM
esrj-66107	13	14	a	a	DET
esrj-66107	13	15	pesar	pesar	PROPN
esrj-66107	13	16	del	del	PROPN
esrj-66107	13	17	gran	gran	PROPN
esrj-66107	13	18	número	número	PROPN
esrj-66107	13	19	de	de	X
esrj-66107	13	20	trabajos	trabajos	X
esrj-66107	13	21	en	en	X
esrj-66107	13	22	recuperación	recuperación	PROPN
esrj-66107	13	23	de	de	PROPN
esrj-66107	13	24	imagenes	imagenes	PROPN
esrj-66107	13	25	basadas	basadas	PROPN
esrj-66107	13	26	en	en	PROPN
esrj-66107	13	27	contenido	contenido	PROPN
esrj-66107	13	28	,	,	PUNCT
esrj-66107	13	29	poco	poco	PROPN
esrj-66107	13	30	se	se	X
esrj-66107	13	31	ha	ha	PROPN
esrj-66107	13	32	avanzado	avanzado	PROPN
esrj-66107	13	33	en	en	X
esrj-66107	13	34	la	la	PROPN
esrj-66107	13	35	recuperación	recuperación	PROPN
esrj-66107	13	36	de	de	PROPN
esrj-66107	13	37	imágenes	imágenes	PROPN
esrj-66107	13	38	por	por	PROPN
esrj-66107	13	39	teledetección	teledetección	PROPN
esrj-66107	13	40	.	.	PUNCT
esrj-66107	14	1	tanto	tanto	PROPN
esrj-66107	14	2	la	la	PROPN
esrj-66107	14	3	teoría	teoría	PROPN
esrj-66107	14	4	como	como	PROPN
esrj-66107	14	5	la	la	PROPN
esrj-66107	14	6	aplicación	aplicación	PROPN
esrj-66107	14	7	de	de	PROPN
esrj-66107	14	8	los	los	PROPN
esrj-66107	14	9	sistemas	sistemas	PROPN
esrj-66107	14	10	son	son	PROPN
esrj-66107	14	11	inmaduros	inmaduros	PROPN
esrj-66107	14	12	.	.	PUNCT
esrj-66107	15	1	ya	ya	PROPN
esrj-66107	15	2	que	que	PROPN
esrj-66107	15	3	las	las	PROPN
esrj-66107	15	4	imágenes	imágenes	PROPN
esrj-66107	15	5	por	por	PROPN
esrj-66107	15	6	teledetección	teledetección	PROPN
esrj-66107	15	7	se	se	PROPN
esrj-66107	15	8	caracterizan	caracterizan	PROPN
esrj-66107	15	9	por	por	PROPN
esrj-66107	15	10	un	un	PROPN
esrj-66107	15	11	gran	gran	PROPN
esrj-66107	15	12	volumen	volumen	PROPN
esrj-66107	15	13	de	de	PROPN
esrj-66107	15	14	información	información	PROPN
esrj-66107	15	15	,	,	PUNCT
esrj-66107	15	16	amplia	amplia	PROPN
esrj-66107	15	17	cobertura	cobertura	PROPN
esrj-66107	15	18	,	,	PUNCT
esrj-66107	15	19	temas	temas	PROPN
esrj-66107	15	20	difusos	difusos	PROPN
esrj-66107	15	21	y	y	PROPN
esrj-66107	15	22	semántica	semántica	PROPN
esrj-66107	15	23	abundante	abundante	PROPN
esrj-66107	15	24	,	,	PUNCT
esrj-66107	15	25	los	los	PROPN
esrj-66107	15	26	resultados	resultados	PROPN
esrj-66107	15	27	de	de	PROPN
esrj-66107	15	28	las	las	PROPN
esrj-66107	15	29	investigaciones	investigaciones	PROPN
esrj-66107	15	30	en	en	PROPN
esrj-66107	15	31	imágenes	imágenes	PROPN
esrj-66107	15	32	naturales	naturales	PROPN
esrj-66107	15	33	e	e	PROPN
esrj-66107	15	34	imágenes	imágene	NOUN
esrj-66107	15	35	médicas	médica	VERB
esrj-66107	15	36	no	no	DET
esrj-66107	15	37	pueden	pueden	ADJ
esrj-66107	15	38	ser	ser	NOUN
esrj-66107	15	39	usados	usados	PROPN
esrj-66107	15	40	directamente	directamente	PROPN
esrj-66107	15	41	en	en	X
esrj-66107	15	42	la	la	PROPN
esrj-66107	15	43	recuperación	recuperación	PROPN
esrj-66107	15	44	de	de	PROPN
esrj-66107	15	45	imágenes	imágenes	PROPN
esrj-66107	15	46	por	por	PROPN
esrj-66107	15	47	teledetección	teledetección	PROPN
esrj-66107	15	48	.	.	PUNCT
esrj-66107	16	1	incluso	incluso	PROPN
esrj-66107	16	2	en	en	PROPN
esrj-66107	16	3	una	una	PROPN
esrj-66107	16	4	consulta	consulta	PROPN
esrj-66107	16	5	perfecta	perfecta	PROPN
esrj-66107	16	6	de	de	PROPN
esrj-66107	16	7	imágenes	imágenes	PROPN
esrj-66107	16	8	basadas	basadas	PROPN
esrj-66107	16	9	en	en	PROPN
esrj-66107	16	10	contenido	contenido	PROPN
esrj-66107	16	11	,	,	PUNCT
esrj-66107	16	12	los	los	PROPN
esrj-66107	16	13	sistemas	sistemas	PROPN
esrj-66107	16	14	tienen	tienen	PROPN
esrj-66107	16	15	muchas	muchas	PROPN
esrj-66107	16	16	dificultades	dificultade	NOUN
esrj-66107	16	17	con	con	PROPN
esrj-66107	16	18	la	la	PROPN
esrj-66107	16	19	organización	organización	PROPN
esrj-66107	16	20	de	de	PROPN
esrj-66107	16	21	información	información	PROPN
esrj-66107	16	22	,	,	PUNCT
esrj-66107	16	23	almacenamiento	almacenamiento	PROPN
esrj-66107	16	24	y	y	PROPN
esrj-66107	16	25	manejo	manejo	PROPN
esrj-66107	16	26	,	,	PUNCT
esrj-66107	16	27	descripción	descripción	PROPN
esrj-66107	16	28	de	de	PROPN
esrj-66107	16	29	características	características	PROPN
esrj-66107	16	30	y	y	PROPN
esrj-66107	16	31	extracción	extracción	PROPN
esrj-66107	16	32	,	,	PUNCT
esrj-66107	16	33	medición	medición	PROPN
esrj-66107	16	34	de	de	X
esrj-66107	16	35	similitudes	similitudes	PROPN
esrj-66107	16	36	,	,	PUNCT
esrj-66107	16	37	retroalimentación	retroalimentación	ADJ
esrj-66107	16	38	relevante	relevante	PROPN
esrj-66107	16	39	,	,	PUNCT
esrj-66107	16	40	modo	modo	PROPN
esrj-66107	16	41	de	de	PROPN
esrj-66107	16	42	servicio	servicio	PROPN
esrj-66107	16	43	de	de	PROPN
esrj-66107	16	44	red	red	PROPN
esrj-66107	16	45	y	y	PROPN
esrj-66107	16	46	diseño	diseño	PROPN
esrj-66107	16	47	e	e	PROPN
esrj-66107	16	48	implementación	implementación	PROPN
esrj-66107	16	49	del	del	PROPN
esrj-66107	16	50	sistema	sistema	PROPN
esrj-66107	16	51	estructural	estructural	ADJ
esrj-66107	16	52	.	.	PUNCT
esrj-66107	17	1	este	este	PROPN
esrj-66107	17	2	artículo	artículo	PROPN
esrj-66107	17	3	propone	propone	PROPN
esrj-66107	17	4	un	un	PROPN
esrj-66107	17	5	algoritmo	algoritmo	PROPN
esrj-66107	17	6	de	de	PROPN
esrj-66107	17	7	recuperación	recuperación	PROPN
esrj-66107	17	8	de	de	PROPN
esrj-66107	17	9	imágenes	imágenes	PROPN
esrj-66107	17	10	por	por	VERB
esrj-66107	17	11	teledetección	teledetección	PROPN
esrj-66107	17	12	que	que	PROPN
esrj-66107	17	13	combina	combina	PROPN
esrj-66107	17	14	la	la	PROPN
esrj-66107	17	15	co	co	PROPN
esrj-66107	17	16	-	-	NOUN
esrj-66107	17	17	ocurrencia	ocurrencia	ADJ
esrj-66107	17	18	local	local	ADJ
esrj-66107	17	19	de	de	X
esrj-66107	17	20	una	una	PROPN
esrj-66107	17	21	red	red	PROPN
esrj-66107	17	22	bayesiana	bayesiana	PROPN
esrj-66107	17	23	de	de	PROPN
esrj-66107	17	24	recuperación	recuperación	PROPN
esrj-66107	17	25	de	de	X
esrj-66107	17	26	imagénes	imagénes	PROPN
esrj-66107	17	27	con	con	PROPN
esrj-66107	17	28	el	el	PROPN
esrj-66107	17	29	promedio	promedio	PROPN
esrj-66107	17	30	de	de	X
esrj-66107	17	31	potencia	potencia	PROPN
esrj-66107	17	32	de	de	X
esrj-66107	17	33	la	la	PROPN
esrj-66107	17	34	señal	señal	PROPN
esrj-66107	17	35	de	de	PROPN
esrj-66107	17	36	alta	alta	PROPN
esrj-66107	17	37	frecuencia	frecuencia	PROPN
esrj-66107	17	38	.	.	PUNCT
esrj-66107	18	1	por	por	PROPN
esrj-66107	18	2	las	las	PROPN
esrj-66107	18	3	redes	redes	PROPN
esrj-66107	18	4	bayesianas	bayesianas	PROPN
esrj-66107	18	5	,	,	PUNCT
esrj-66107	18	6	se	se	X
esrj-66107	18	7	establecen	establecen	VERB
esrj-66107	18	8	las	las	PROPN
esrj-66107	18	9	relaciones	relaciones	PROPN
esrj-66107	18	10	de	de	PROPN
esrj-66107	18	11	correspondencia	correspondencia	PROPN
esrj-66107	18	12	entre	entre	PROPN
esrj-66107	18	13	imágenes	imágene	VERB
esrj-66107	18	14	y	y	PROPN
esrj-66107	18	15	semántica	semántica	PROPN
esrj-66107	18	16	,	,	PUNCT
esrj-66107	18	17	además	además	PROPN
esrj-66107	18	18	de	de	X
esrj-66107	18	19	permitir	permitir	PROPN
esrj-66107	18	20	la	la	PROPN
esrj-66107	18	21	recuperación	recuperación	PROPN
esrj-66107	18	22	de	de	PROPN
esrj-66107	18	23	imágenes	imágenes	PROPN
esrj-66107	18	24	de	de	PROPN
esrj-66107	18	25	teledetección	teledetección	PROPN
esrj-66107	18	26	a	a	DET
esrj-66107	18	27	través	través	X
esrj-66107	18	28	de	de	X
esrj-66107	18	29	la	la	X
esrj-66107	18	30	semántica	semántica	NOUN
esrj-66107	18	31	.	.	PUNCT
esrj-66107	19	1	mientras	mientra	NOUN
esrj-66107	19	2	tanto	tanto	PROPN
esrj-66107	19	3	,	,	PUNCT
esrj-66107	19	4	se	se	X
esrj-66107	19	5	desarrolló	desarrolló	PROPN
esrj-66107	19	6	el	el	PROPN
esrj-66107	19	7	módulo	módulo	PROPN
esrj-66107	19	8	de	de	PROPN
esrj-66107	19	9	región	región	PROPN
esrj-66107	19	10	integrada	integrada	PROPN
esrj-66107	19	11	para	para	PROPN
esrj-66107	19	12	la	la	PROPN
esrj-66107	19	13	recuperación	recuperación	PROPN
esrj-66107	19	14	repetitiva	repetitiva	PROPN
esrj-66107	19	15	,	,	PUNCT
esrj-66107	19	16	lo	lo	PROPN
esrj-66107	19	17	que	que	PROPN
esrj-66107	19	18	mejora	mejora	X
esrj-66107	19	19	efectivamente	efectivamente	PROPN
esrj-66107	19	20	la	la	X
esrj-66107	19	21	precisión	precisión	PROPN
esrj-66107	19	22	de	de	PROPN
esrj-66107	19	23	la	la	PROPN
esrj-66107	19	24	recuperación	recuperación	PROPN
esrj-66107	19	25	semántica	semántica	PROPN
esrj-66107	19	26	.	.	PUNCT
esrj-66107	20	1	resumen	resumen	VERB
esrj-66107	20	2	palabras	palabras	PROPN
esrj-66107	20	3	clave	clave	PROPN
esrj-66107	20	4	:	:	PUNCT
esrj-66107	20	5	red	red	PROPN
esrj-66107	20	6	bayesiana	bayesiana	PROPN
esrj-66107	20	7	;	;	PUNCT
esrj-66107	20	8	región	región	PROPN
esrj-66107	20	9	de	de	X
esrj-66107	20	10	coocurrencia	coocurrencia	PROPN
esrj-66107	20	11	;	;	PUNCT
esrj-66107	20	12	recuperación	recuperación	PROPN
esrj-66107	20	13	de	de	PROPN
esrj-66107	20	14	imágenes	imágenes	PROPN
esrj-66107	20	15	por	por	PROPN
esrj-66107	20	16	teledetección	teledetección	PROPN
esrj-66107	20	17	.	.	PUNCT
esrj-66107	21	1	record	record	PROPN
esrj-66107	21	2	manuscript	manuscript	NOUN
esrj-66107	21	3	received	receive	VERB
esrj-66107	21	4	:	:	PUNCT
esrj-66107	21	5	05/07/2017	05/07/2017	NUM
esrj-66107	21	6	accepted	accept	VERB
esrj-66107	21	7	for	for	ADP
esrj-66107	21	8	publication	publication	NOUN
esrj-66107	21	9	:	:	PUNCT
esrj-66107	21	10	19/01/2018	19/01/2018	NUM
esrj-66107	21	11	how	how	SCONJ
esrj-66107	21	12	to	to	PART
esrj-66107	21	13	cite	cite	VERB
esrj-66107	21	14	item	item	PROPN
esrj-66107	21	15	zeng	zeng	PROPN
esrj-66107	21	16	,	,	PUNCT
esrj-66107	21	17	r.	r.	PROPN
esrj-66107	21	18	,	,	PUNCT
esrj-66107	21	19	wang	wang	PROPN
esrj-66107	21	20	,	,	PUNCT
esrj-66107	21	21	y.	y.	PROPN
esrj-66107	21	22	,	,	PUNCT
esrj-66107	21	23	&	&	CCONJ
esrj-66107	21	24	wang	wang	PROPN
esrj-66107	21	25	,	,	PUNCT
esrj-66107	21	26	w.	w.	PROPN
esrj-66107	21	27	(	(	PUNCT
esrj-66107	21	28	2018	2018	NUM
esrj-66107	21	29	)	)	PUNCT
esrj-66107	21	30	.	.	PUNCT
esrj-66107	22	1	a	a	DET
esrj-66107	22	2	co	co	ADJ
esrj-66107	22	3	-	-	NOUN
esrj-66107	22	4	occurrence	occurrence	ADJ
esrj-66107	22	5	region	region	NOUN
esrj-66107	22	6	based	base	VERB
esrj-66107	22	7	bayesian	bayesian	NOUN
esrj-66107	22	8	network	network	NOUN
esrj-66107	22	9	stepwise	stepwise	NOUN
esrj-66107	22	10	remote	remote	ADJ
esrj-66107	22	11	sensing	sense	VERB
esrj-66107	22	12	image	image	NOUN
esrj-66107	22	13	retrieval	retrieval	NOUN
esrj-66107	22	14	algorithm	algorithm	NOUN
esrj-66107	22	15	.	.	PUNCT
esrj-66107	23	1	earth	earth	PROPN
esrj-66107	23	2	sciences	sciences	PROPN
esrj-66107	23	3	research	research	PROPN
esrj-66107	23	4	journal	journal	NOUN
esrj-66107	23	5	,	,	PUNCT
esrj-66107	23	6	21(1	21(1	NUM
esrj-66107	23	7	)	)	PUNCT
esrj-66107	23	8	,	,	PUNCT
esrj-66107	23	9	29	29	NUM
esrj-66107	23	10	-	-	SYM
esrj-66107	23	11	35	35	NUM
esrj-66107	23	12	doi	doi	NOUN
esrj-66107	23	13	:	:	PUNCT
esrj-66107	23	14	http://dx.doi.org/10.15446/esrj.v22n1.66107	http://dx.doi.org/10.15446/esrj.v22n1.66107	VERB
esrj-66107	23	15	región	región	PROPN
esrj-66107	23	16	de	de	X
esrj-66107	23	17	coocurrencia	coocurrencia	PROPN
esrj-66107	23	18	basada	basada	X
esrj-66107	23	19	en	en	X
esrj-66107	23	20	una	una	PROPN
esrj-66107	23	21	red	red	PROPN
esrj-66107	23	22	bayesiana	bayesiana	PROPN
esrj-66107	23	23	gradual	gradual	ADJ
esrj-66107	23	24	hacia	hacia	PROPN
esrj-66107	23	25	un	un	PROPN
esrj-66107	23	26	algoritmo	algoritmo	PROPN
esrj-66107	23	27	de	de	PROPN
esrj-66107	23	28	recuperación	recuperación	PROPN
esrj-66107	23	29	de	de	PROPN
esrj-66107	23	30	imágenes	imágenes	PROPN
esrj-66107	23	31	por	por	VERB
esrj-66107	23	32	teledetección	teledetección	PROPN
esrj-66107	23	33	e	e	PROPN
esrj-66107	23	34	n	n	CCONJ
esrj-66107	23	35	g	g	NOUN
esrj-66107	23	36	in	in	ADP
esrj-66107	23	37	e	e	X
esrj-66107	23	38	e	e	NOUN
esrj-66107	23	39	r	r	NOUN
esrj-66107	23	40	in	in	ADP
esrj-66107	23	41	g	g	NOUN
esrj-66107	23	42	g	g	NOUN
esrj-66107	23	43	e	e	NOUN
esrj-66107	23	44	o	o	NOUN
esrj-66107	23	45	l	l	NOUN
esrj-66107	24	1	o	o	X
esrj-66107	24	2	g	g	NOUN
esrj-66107	24	3	y	y	PROPN
esrj-66107	24	4	30	30	NUM
esrj-66107	24	5	rui	rui	PROPN
esrj-66107	24	6	zeng	zeng	PROPN
esrj-66107	24	7	,	,	PUNCT
esrj-66107	24	8	yingyan	yingyan	PROPN
esrj-66107	24	9	wang	wang	PROPN
esrj-66107	24	10	,	,	PUNCT
esrj-66107	24	11	wanliang	wanliang	PROPN
esrj-66107	24	12	wang	wang	PROPN
esrj-66107	24	13	1	1	NUM
esrj-66107	24	14	.	.	PUNCT
esrj-66107	25	1	introduction	introduction	NOUN
esrj-66107	25	2	studies	study	NOUN
esrj-66107	25	3	on	on	ADP
esrj-66107	25	4	natural	natural	ADJ
esrj-66107	25	5	and	and	CCONJ
esrj-66107	25	6	medial	medial	ADJ
esrj-66107	25	7	image	image	NOUN
esrj-66107	25	8	retrieval	retrieval	NOUN
esrj-66107	25	9	have	have	AUX
esrj-66107	25	10	achieved	achieve	VERB
esrj-66107	25	11	remarkable	remarkable	ADJ
esrj-66107	25	12	results	result	NOUN
esrj-66107	25	13	.	.	PUNCT
esrj-66107	26	1	meanwhile	meanwhile	ADV
esrj-66107	26	2	,	,	PUNCT
esrj-66107	26	3	there	there	PRON
esrj-66107	26	4	have	have	AUX
esrj-66107	26	5	been	be	AUX
esrj-66107	26	6	numerous	numerous	ADJ
esrj-66107	26	7	research	research	NOUN
esrj-66107	26	8	projects	project	NOUN
esrj-66107	26	9	designed	design	VERB
esrj-66107	26	10	specifically	specifically	ADV
esrj-66107	26	11	for	for	ADP
esrj-66107	26	12	remote	remote	ADJ
esrj-66107	26	13	sensing	sense	VERB
esrj-66107	26	14	image	image	NOUN
esrj-66107	26	15	retrieval	retrieval	NOUN
esrj-66107	26	16	.	.	PUNCT
esrj-66107	27	1	however	however	ADV
esrj-66107	27	2	,	,	PUNCT
esrj-66107	27	3	both	both	CCONJ
esrj-66107	27	4	theoretical	theoretical	ADJ
esrj-66107	27	5	and	and	CCONJ
esrj-66107	27	6	application	application	NOUN
esrj-66107	27	7	systems	system	NOUN
esrj-66107	27	8	are	be	AUX
esrj-66107	27	9	immature	immature	ADJ
esrj-66107	27	10	and	and	CCONJ
esrj-66107	27	11	need	need	VERB
esrj-66107	27	12	to	to	PART
esrj-66107	27	13	be	be	AUX
esrj-66107	27	14	further	far	ADV
esrj-66107	27	15	researched	research	VERB
esrj-66107	27	16	(	(	PUNCT
esrj-66107	27	17	samadzadegan	samadzadegan	PROPN
esrj-66107	27	18	et	et	PROPN
esrj-66107	27	19	al	al	PROPN
esrj-66107	27	20	.	.	PROPN
esrj-66107	27	21	,	,	PUNCT
esrj-66107	27	22	2012	2012	NUM
esrj-66107	27	23	;	;	PUNCT
esrj-66107	27	24	hejazi	hejazi	NOUN
esrj-66107	27	25	et	et	PROPN
esrj-66107	27	26	al	al	PROPN
esrj-66107	27	27	.	.	PROPN
esrj-66107	27	28	,	,	PUNCT
esrj-66107	27	29	2017	2017	NUM
esrj-66107	27	30	)	)	PUNCT
esrj-66107	27	31	.	.	PUNCT
esrj-66107	28	1	for	for	ADP
esrj-66107	28	2	example	example	NOUN
esrj-66107	28	3	,	,	PUNCT
esrj-66107	28	4	the	the	DET
esrj-66107	28	5	kim	kim	PROPN
esrj-66107	28	6	system	system	NOUN
esrj-66107	28	7	developed	develop	VERB
esrj-66107	28	8	by	by	ADP
esrj-66107	28	9	dlr	dlr	PROPN
esrj-66107	28	10	explores	explore	NOUN
esrj-66107	28	11	implied	imply	VERB
esrj-66107	28	12	semantic	semantic	ADJ
esrj-66107	28	13	features	feature	NOUN
esrj-66107	28	14	of	of	ADP
esrj-66107	28	15	images	image	NOUN
esrj-66107	28	16	by	by	ADP
esrj-66107	28	17	bayesian	bayesian	NOUN
esrj-66107	28	18	networks	network	NOUN
esrj-66107	28	19	.	.	PUNCT
esrj-66107	29	1	nanyang	nanyang	PROPN
esrj-66107	29	2	technological	technological	PROPN
esrj-66107	29	3	university	university	NOUN
esrj-66107	29	4	conducts	conduct	VERB
esrj-66107	29	5	multi	multi	ADJ
esrj-66107	29	6	-	-	NOUN
esrj-66107	29	7	sensor	sensor	ADJ
esrj-66107	29	8	(	(	PUNCT
esrj-66107	29	9	rs)2i	rs)2i	VERB
esrj-66107	29	10	thoroughly	thoroughly	ADV
esrj-66107	29	11	research	research	NOUN
esrj-66107	29	12	feature	feature	NOUN
esrj-66107	29	13	description	description	NOUN
esrj-66107	29	14	and	and	CCONJ
esrj-66107	29	15	extraction	extraction	NOUN
esrj-66107	29	16	,	,	PUNCT
esrj-66107	29	17	multidimensional	multidimensional	ADJ
esrj-66107	29	18	indexing	indexing	NOUN
esrj-66107	29	19	technology	technology	NOUN
esrj-66107	29	20	and	and	CCONJ
esrj-66107	29	21	system	system	NOUN
esrj-66107	29	22	structure	structure	NOUN
esrj-66107	29	23	design	design	NOUN
esrj-66107	29	24	(	(	PUNCT
esrj-66107	29	25	mountrakis	mountrakis	NOUN
esrj-66107	29	26	,	,	PUNCT
esrj-66107	29	27	2012	2012	NUM
esrj-66107	29	28	)	)	PUNCT
esrj-66107	29	29	.	.	PUNCT
esrj-66107	30	1	the	the	DET
esrj-66107	30	2	study	study	NOUN
esrj-66107	30	3	compares	compare	VERB
esrj-66107	30	4	existing	exist	VERB
esrj-66107	30	5	image	image	NOUN
esrj-66107	30	6	retrieval	retrieval	NOUN
esrj-66107	30	7	systems	system	NOUN
esrj-66107	30	8	and	and	CCONJ
esrj-66107	30	9	focuses	focus	VERB
esrj-66107	30	10	on	on	ADP
esrj-66107	30	11	image	image	NOUN
esrj-66107	30	12	storage	storage	NOUN
esrj-66107	30	13	,	,	PUNCT
esrj-66107	30	14	network	network	NOUN
esrj-66107	30	15	transmission	transmission	NOUN
esrj-66107	30	16	model	model	NOUN
esrj-66107	30	17	,	,	PUNCT
esrj-66107	30	18	feature	feature	NOUN
esrj-66107	30	19	extraction	extraction	NOUN
esrj-66107	30	20	and	and	CCONJ
esrj-66107	30	21	description	description	NOUN
esrj-66107	30	22	,	,	PUNCT
esrj-66107	30	23	segmentation	segmentation	NOUN
esrj-66107	30	24	algorithm	algorithm	NOUN
esrj-66107	30	25	,	,	PUNCT
esrj-66107	30	26	reasonable	reasonable	ADJ
esrj-66107	30	27	segmentation	segmentation	NOUN
esrj-66107	30	28	,	,	PUNCT
esrj-66107	30	29	similarity	similarity	NOUN
esrj-66107	30	30	measurement	measurement	NOUN
esrj-66107	30	31	and	and	CCONJ
esrj-66107	30	32	relevance	relevance	NOUN
esrj-66107	30	33	feedback	feedback	NOUN
esrj-66107	30	34	.	.	PUNCT
esrj-66107	31	1	the	the	DET
esrj-66107	31	2	results	result	NOUN
esrj-66107	31	3	show	show	VERB
esrj-66107	31	4	that	that	SCONJ
esrj-66107	31	5	studies	study	NOUN
esrj-66107	31	6	on	on	ADP
esrj-66107	31	7	remote	remote	ADJ
esrj-66107	31	8	sensing	sense	VERB
esrj-66107	31	9	image	image	NOUN
esrj-66107	31	10	retrieval	retrieval	NOUN
esrj-66107	31	11	have	have	VERB
esrj-66107	31	12	some	some	DET
esrj-66107	31	13	deficiencies	deficiency	NOUN
esrj-66107	31	14	,	,	PUNCT
esrj-66107	31	15	which	which	PRON
esrj-66107	31	16	are	be	AUX
esrj-66107	31	17	mainly	mainly	ADV
esrj-66107	31	18	manifested	manifest	VERB
esrj-66107	31	19	as	as	SCONJ
esrj-66107	31	20	follows	follow	VERB
esrj-66107	31	21	:	:	PUNCT
esrj-66107	31	22	(	(	PUNCT
esrj-66107	31	23	1	1	X
esrj-66107	31	24	)	)	PUNCT
esrj-66107	31	25	although	although	SCONJ
esrj-66107	31	26	studies	study	NOUN
esrj-66107	31	27	on	on	ADP
esrj-66107	31	28	content	content	NOUN
esrj-66107	31	29	-	-	PUNCT
esrj-66107	31	30	based	base	VERB
esrj-66107	31	31	image	image	NOUN
esrj-66107	31	32	retrieval	retrieval	NOUN
esrj-66107	31	33	have	have	AUX
esrj-66107	31	34	achieved	achieve	VERB
esrj-66107	31	35	brilliant	brilliant	ADJ
esrj-66107	31	36	results	result	NOUN
esrj-66107	31	37	,	,	PUNCT
esrj-66107	31	38	they	they	PRON
esrj-66107	31	39	are	be	AUX
esrj-66107	31	40	mostly	mostly	ADV
esrj-66107	31	41	focused	focus	VERB
esrj-66107	31	42	on	on	ADP
esrj-66107	31	43	natural	natural	ADJ
esrj-66107	31	44	and	and	CCONJ
esrj-66107	31	45	medical	medical	ADJ
esrj-66107	31	46	images	image	NOUN
esrj-66107	31	47	.	.	PUNCT
esrj-66107	32	1	rarely	rarely	ADV
esrj-66107	32	2	do	do	AUX
esrj-66107	32	3	scholars	scholar	NOUN
esrj-66107	32	4	study	study	VERB
esrj-66107	32	5	remote	remote	ADJ
esrj-66107	32	6	sensing	sensing	NOUN
esrj-66107	32	7	images	image	NOUN
esrj-66107	32	8	(	(	PUNCT
esrj-66107	32	9	han	han	NOUN
esrj-66107	32	10	,	,	PUNCT
esrj-66107	32	11	2012	2012	NUM
esrj-66107	32	12	;	;	PUNCT
esrj-66107	32	13	xu	xu	PROPN
esrj-66107	32	14	,	,	PUNCT
esrj-66107	32	15	2015	2015	NUM
esrj-66107	32	16	;	;	PUNCT
esrj-66107	32	17	radan	radan	PROPN
esrj-66107	32	18	et	et	PROPN
esrj-66107	32	19	al	al	PROPN
esrj-66107	32	20	.	.	PROPN
esrj-66107	32	21	,	,	PUNCT
esrj-66107	32	22	2017	2017	NUM
esrj-66107	32	23	)	)	PUNCT
esrj-66107	32	24	.	.	PUNCT
esrj-66107	33	1	(	(	PUNCT
esrj-66107	33	2	2	2	X
esrj-66107	33	3	)	)	PUNCT
esrj-66107	33	4	currently	currently	ADV
esrj-66107	33	5	,	,	PUNCT
esrj-66107	33	6	remote	remote	ADJ
esrj-66107	33	7	sensing	sense	VERB
esrj-66107	33	8	image	image	NOUN
esrj-66107	33	9	retrieval	retrieval	NOUN
esrj-66107	33	10	systems	system	NOUN
esrj-66107	33	11	are	be	AUX
esrj-66107	33	12	mainly	mainly	ADV
esrj-66107	33	13	based	base	VERB
esrj-66107	33	14	on	on	ADP
esrj-66107	33	15	texts	text	NOUN
esrj-66107	33	16	,	,	PUNCT
esrj-66107	33	17	strip	strip	NOUN
esrj-66107	33	18	numbers	number	NOUN
esrj-66107	33	19	,	,	PUNCT
esrj-66107	33	20	latitudes	latitude	NOUN
esrj-66107	33	21	,	,	PUNCT
esrj-66107	33	22	and	and	CCONJ
esrj-66107	33	23	longitudes	longitude	NOUN
esrj-66107	33	24	,	,	PUNCT
esrj-66107	33	25	rather	rather	ADV
esrj-66107	33	26	than	than	ADP
esrj-66107	33	27	contents	content	NOUN
esrj-66107	33	28	(	(	PUNCT
esrj-66107	33	29	abdi	abdi	PROPN
esrj-66107	33	30	,	,	PUNCT
esrj-66107	33	31	2013	2013	NUM
esrj-66107	33	32	)	)	PUNCT
esrj-66107	33	33	.	.	PUNCT
esrj-66107	34	1	(	(	PUNCT
esrj-66107	34	2	3	3	X
esrj-66107	34	3	)	)	PUNCT
esrj-66107	34	4	scholars	scholar	NOUN
esrj-66107	34	5	have	have	AUX
esrj-66107	34	6	made	make	VERB
esrj-66107	34	7	great	great	ADJ
esrj-66107	34	8	use	use	NOUN
esrj-66107	34	9	of	of	ADP
esrj-66107	34	10	bayesian	bayesian	NOUN
esrj-66107	34	11	networks	network	NOUN
esrj-66107	34	12	to	to	PART
esrj-66107	34	13	study	study	VERB
esrj-66107	34	14	semantic	semantic	NOUN
esrj-66107	34	15	-	-	PUNCT
esrj-66107	34	16	based	base	VERB
esrj-66107	34	17	remote	remote	ADJ
esrj-66107	34	18	sensing	sense	VERB
esrj-66107	34	19	image	image	NOUN
esrj-66107	34	20	retrieval	retrieval	NOUN
esrj-66107	34	21	.	.	PUNCT
esrj-66107	35	1	retrieval	retrieval	NOUN
esrj-66107	35	2	precision	precision	NOUN
esrj-66107	35	3	of	of	ADP
esrj-66107	35	4	existing	exist	VERB
esrj-66107	35	5	algorithms	algorithm	NOUN
esrj-66107	35	6	can	can	AUX
esrj-66107	35	7	be	be	AUX
esrj-66107	35	8	further	far	ADV
esrj-66107	35	9	improved	improve	VERB
esrj-66107	35	10	.	.	PUNCT
esrj-66107	36	1	(	(	PUNCT
esrj-66107	36	2	4	4	X
esrj-66107	36	3	)	)	PUNCT
esrj-66107	36	4	the	the	DET
esrj-66107	36	5	retrieval	retrieval	NOUN
esrj-66107	36	6	precision	precision	NOUN
esrj-66107	36	7	is	be	AUX
esrj-66107	36	8	inversely	inversely	ADV
esrj-66107	36	9	related	relate	VERB
esrj-66107	36	10	to	to	ADP
esrj-66107	36	11	time	time	NOUN
esrj-66107	36	12	efficiency	efficiency	NOUN
esrj-66107	36	13	for	for	ADP
esrj-66107	36	14	most	most	ADJ
esrj-66107	36	15	image	image	NOUN
esrj-66107	36	16	retrieval	retrieval	NOUN
esrj-66107	36	17	algorithms	algorithm	NOUN
esrj-66107	36	18	.	.	PUNCT
esrj-66107	37	1	in	in	ADP
esrj-66107	37	2	other	other	ADJ
esrj-66107	37	3	words	word	NOUN
esrj-66107	37	4	,	,	PUNCT
esrj-66107	37	5	high	high	ADJ
esrj-66107	37	6	-	-	PUNCT
esrj-66107	37	7	precision	precision	NOUN
esrj-66107	37	8	image	image	NOUN
esrj-66107	37	9	retrieval	retrieval	NOUN
esrj-66107	37	10	tends	tend	VERB
esrj-66107	37	11	to	to	PART
esrj-66107	37	12	consume	consume	VERB
esrj-66107	37	13	lots	lot	NOUN
esrj-66107	37	14	of	of	ADP
esrj-66107	37	15	time	time	NOUN
esrj-66107	37	16	(	(	PUNCT
esrj-66107	37	17	zhai	zhai	PROPN
esrj-66107	37	18	,	,	PUNCT
esrj-66107	37	19	2014	2014	NUM
esrj-66107	37	20	;	;	PUNCT
esrj-66107	37	21	simon	simon	PROPN
esrj-66107	37	22	et	et	PROPN
esrj-66107	37	23	al	al	PROPN
esrj-66107	37	24	.	.	PROPN
esrj-66107	37	25	,	,	PUNCT
esrj-66107	37	26	2017	2017	NUM
esrj-66107	37	27	)	)	PUNCT
esrj-66107	37	28	.	.	PUNCT
esrj-66107	38	1	this	this	DET
esrj-66107	38	2	paper	paper	NOUN
esrj-66107	38	3	proposes	propose	VERB
esrj-66107	38	4	a	a	DET
esrj-66107	38	5	stepwise	stepwise	ADJ
esrj-66107	38	6	bayesian	bayesian	NOUN
esrj-66107	38	7	network	network	NOUN
esrj-66107	38	8	algorithm	algorithm	NOUN
esrj-66107	38	9	for	for	ADP
esrj-66107	38	10	retrieving	retrieve	VERB
esrj-66107	38	11	remote	remote	ADJ
esrj-66107	38	12	sensing	sensing	NOUN
esrj-66107	38	13	images	image	NOUN
esrj-66107	38	14	,	,	PUNCT
esrj-66107	38	15	aim	aim	VERB
esrj-66107	38	16	to	to	PART
esrj-66107	38	17	address	address	VERB
esrj-66107	38	18	these	these	DET
esrj-66107	38	19	problems	problem	NOUN
esrj-66107	38	20	;	;	PUNCT
esrj-66107	38	21	the	the	DET
esrj-66107	38	22	schema	schema	NOUN
esrj-66107	38	23	combines	combine	VERB
esrj-66107	38	24	co	co	ADJ
esrj-66107	38	25	-	-	NOUN
esrj-66107	38	26	occurrence	occurrence	ADJ
esrj-66107	38	27	region	region	NOUN
esrj-66107	38	28	-	-	PUNCT
esrj-66107	38	29	based	base	VERB
esrj-66107	38	30	bayesian	bayesian	NOUN
esrj-66107	38	31	network	network	NOUN
esrj-66107	38	32	image	image	NOUN
esrj-66107	38	33	retrieval	retrieval	NOUN
esrj-66107	38	34	with	with	ADP
esrj-66107	38	35	average	average	ADJ
esrj-66107	38	36	high	high	ADJ
esrj-66107	38	37	-	-	PUNCT
esrj-66107	38	38	frequency	frequency	NOUN
esrj-66107	38	39	signal	signal	NOUN
esrj-66107	38	40	strength	strength	NOUN
esrj-66107	38	41	,	,	PUNCT
esrj-66107	38	42	and	and	CCONJ
esrj-66107	38	43	adopts	adopt	VERB
esrj-66107	38	44	integrated	integrated	ADJ
esrj-66107	38	45	region	region	NOUN
esrj-66107	38	46	matching	match	VERB
esrj-66107	38	47	for	for	ADP
esrj-66107	38	48	iterative	iterative	NOUN
esrj-66107	38	49	retrieval	retrieval	NOUN
esrj-66107	38	50	,	,	PUNCT
esrj-66107	38	51	thereby	thereby	ADV
esrj-66107	38	52	efficiently	efficiently	ADV
esrj-66107	38	53	improving	improve	VERB
esrj-66107	38	54	the	the	DET
esrj-66107	38	55	precision	precision	NOUN
esrj-66107	38	56	of	of	ADP
esrj-66107	38	57	semantic	semantic	ADJ
esrj-66107	38	58	retrieval	retrieval	NOUN
esrj-66107	38	59	and	and	CCONJ
esrj-66107	38	60	significantly	significantly	ADV
esrj-66107	38	61	reducing	reduce	VERB
esrj-66107	38	62	the	the	DET
esrj-66107	38	63	retrieval	retrieval	NOUN
esrj-66107	38	64	time	time	NOUN
esrj-66107	38	65	.	.	PUNCT
esrj-66107	39	1	in	in	ADP
esrj-66107	39	2	the	the	DET
esrj-66107	39	3	meantime	meantime	NOUN
esrj-66107	39	4	,	,	PUNCT
esrj-66107	39	5	semantic	semantic	NOUN
esrj-66107	39	6	-	-	PUNCT
esrj-66107	39	7	based	base	VERB
esrj-66107	39	8	feature	feature	NOUN
esrj-66107	39	9	vectors	vector	NOUN
esrj-66107	39	10	are	be	AUX
esrj-66107	39	11	introduced	introduce	VERB
esrj-66107	39	12	to	to	PART
esrj-66107	39	13	enhance	enhance	VERB
esrj-66107	39	14	the	the	DET
esrj-66107	39	15	precision	precision	NOUN
esrj-66107	39	16	of	of	ADP
esrj-66107	39	17	image	image	NOUN
esrj-66107	39	18	retrieval	retrieval	NOUN
esrj-66107	39	19	.	.	PUNCT
esrj-66107	40	1	2	2	X
esrj-66107	40	2	.	.	X
esrj-66107	40	3	material	material	NOUN
esrj-66107	40	4	and	and	CCONJ
esrj-66107	40	5	methods	method	NOUN
esrj-66107	40	6	in	in	ADP
esrj-66107	40	7	content	content	NOUN
esrj-66107	40	8	-	-	PUNCT
esrj-66107	40	9	based	base	VERB
esrj-66107	40	10	image	image	NOUN
esrj-66107	40	11	retrieval	retrieval	NOUN
esrj-66107	40	12	,	,	PUNCT
esrj-66107	40	13	scientific	scientific	ADJ
esrj-66107	40	14	and	and	CCONJ
esrj-66107	40	15	reasonable	reasonable	ADJ
esrj-66107	40	16	similarity	similarity	NOUN
esrj-66107	40	17	measurement	measurement	NOUN
esrj-66107	40	18	models	model	NOUN
esrj-66107	40	19	are	be	AUX
esrj-66107	40	20	the	the	DET
esrj-66107	40	21	keys	key	NOUN
esrj-66107	40	22	to	to	ADP
esrj-66107	40	23	achieving	achieve	VERB
esrj-66107	40	24	the	the	DET
esrj-66107	40	25	precision	precision	NOUN
esrj-66107	40	26	of	of	ADP
esrj-66107	40	27	the	the	DET
esrj-66107	40	28	entire	entire	ADJ
esrj-66107	40	29	retrieval	retrieval	NOUN
esrj-66107	40	30	system	system	NOUN
esrj-66107	40	31	(	(	PUNCT
esrj-66107	40	32	zhong	zhong	PROPN
esrj-66107	40	33	et	et	PROPN
esrj-66107	40	34	al	al	PROPN
esrj-66107	40	35	.	.	PROPN
esrj-66107	40	36	,	,	PUNCT
esrj-66107	40	37	2012	2012	NUM
esrj-66107	40	38	;	;	PUNCT
esrj-66107	40	39	bata	bata	PROPN
esrj-66107	40	40	et	et	PROPN
esrj-66107	40	41	al	al	PROPN
esrj-66107	40	42	.	.	PROPN
esrj-66107	40	43	,	,	PUNCT
esrj-66107	40	44	2017	2017	NUM
esrj-66107	40	45	)	)	PUNCT
esrj-66107	40	46	.	.	PUNCT
esrj-66107	41	1	bayesian	bayesian	NOUN
esrj-66107	41	2	network	network	NOUN
esrj-66107	41	3	image	image	NOUN
esrj-66107	41	4	retrieval	retrieval	NOUN
esrj-66107	41	5	systems	system	NOUN
esrj-66107	41	6	consist	consist	VERB
esrj-66107	41	7	of	of	ADP
esrj-66107	41	8	three	three	NUM
esrj-66107	41	9	parts	part	NOUN
esrj-66107	41	10	(	(	PUNCT
esrj-66107	41	11	boser	boser	NOUN
esrj-66107	41	12	et	et	PROPN
esrj-66107	41	13	al	al	PROPN
esrj-66107	41	14	.	.	PROPN
esrj-66107	41	15	,	,	PUNCT
esrj-66107	41	16	1992	1992	NUM
esrj-66107	41	17	;	;	PUNCT
esrj-66107	41	18	roslee	roslee	PROPN
esrj-66107	41	19	et	et	PROPN
esrj-66107	41	20	al	al	PROPN
esrj-66107	41	21	.	.	PROPN
esrj-66107	41	22	,	,	PUNCT
esrj-66107	41	23	2017	2017	NUM
esrj-66107	41	24	):	):	PUNCT
esrj-66107	41	25	(	(	PUNCT
esrj-66107	41	26	1	1	X
esrj-66107	41	27	)	)	PUNCT
esrj-66107	41	28	segment	segment	NOUN
esrj-66107	41	29	images	image	NOUN
esrj-66107	41	30	with	with	ADP
esrj-66107	41	31	a	a	DET
esrj-66107	41	32	simple	simple	ADJ
esrj-66107	41	33	image	image	NOUN
esrj-66107	41	34	segmentation	segmentation	NOUN
esrj-66107	41	35	algorithm	algorithm	NOUN
esrj-66107	41	36	and	and	CCONJ
esrj-66107	41	37	extract	extract	VERB
esrj-66107	41	38	color	color	NOUN
esrj-66107	41	39	or	or	CCONJ
esrj-66107	41	40	texture	texture	ADJ
esrj-66107	41	41	features	feature	NOUN
esrj-66107	41	42	of	of	ADP
esrj-66107	41	43	each	each	DET
esrj-66107	41	44	sub	sub	NOUN
esrj-66107	41	45	-	-	NOUN
esrj-66107	41	46	image	image	NOUN
esrj-66107	41	47	to	to	PART
esrj-66107	41	48	describe	describe	VERB
esrj-66107	41	49	image	image	NOUN
esrj-66107	41	50	contents	content	NOUN
esrj-66107	41	51	,	,	PUNCT
esrj-66107	41	52	which	which	PRON
esrj-66107	41	53	is	be	AUX
esrj-66107	41	54	referred	refer	VERB
esrj-66107	41	55	to	to	ADP
esrj-66107	41	56	as	as	ADP
esrj-66107	41	57	image	image	NOUN
esrj-66107	41	58	segmentation	segmentation	NOUN
esrj-66107	41	59	and	and	CCONJ
esrj-66107	41	60	feature	feature	NOUN
esrj-66107	41	61	extraction	extraction	NOUN
esrj-66107	41	62	.	.	PUNCT
esrj-66107	42	1	(	(	PUNCT
esrj-66107	42	2	2	2	X
esrj-66107	42	3	)	)	PUNCT
esrj-66107	42	4	employ	employ	VERB
esrj-66107	42	5	unsupervised	unsupervised	ADJ
esrj-66107	42	6	classification	classification	NOUN
esrj-66107	42	7	to	to	PART
esrj-66107	42	8	classify	classify	VERB
esrj-66107	42	9	the	the	DET
esrj-66107	42	10	extracted	extract	VERB
esrj-66107	42	11	features	feature	NOUN
esrj-66107	42	12	,	,	PUNCT
esrj-66107	42	13	generate	generate	VERB
esrj-66107	42	14	codebooks	codebook	NOUN
esrj-66107	42	15	and	and	CCONJ
esrj-66107	42	16	encode	encode	ADJ
esrj-66107	42	17	images	image	NOUN
esrj-66107	42	18	following	follow	VERB
esrj-66107	42	19	the	the	DET
esrj-66107	42	20	codebooks	codebook	NOUN
esrj-66107	42	21	,	,	PUNCT
esrj-66107	42	22	thereby	thereby	ADV
esrj-66107	42	23	producing	produce	VERB
esrj-66107	42	24	encoded	encode	VERB
esrj-66107	42	25	image	image	NOUN
esrj-66107	42	26	library	library	NOUN
esrj-66107	42	27	.	.	PUNCT
esrj-66107	43	1	(	(	PUNCT
esrj-66107	43	2	3	3	X
esrj-66107	43	3	)	)	PUNCT
esrj-66107	43	4	obtain	obtain	VERB
esrj-66107	43	5	the	the	DET
esrj-66107	43	6	final	final	ADJ
esrj-66107	43	7	retrieval	retrieval	NOUN
esrj-66107	43	8	results	result	NOUN
esrj-66107	43	9	by	by	ADP
esrj-66107	43	10	selecting	select	VERB
esrj-66107	43	11	training	training	NOUN
esrj-66107	43	12	samples	sample	NOUN
esrj-66107	43	13	and	and	CCONJ
esrj-66107	43	14	calculating	calculate	VERB
esrj-66107	43	15	related	related	ADJ
esrj-66107	43	16	probabilities	probability	NOUN
esrj-66107	43	17	,	,	PUNCT
esrj-66107	43	18	which	which	PRON
esrj-66107	43	19	is	be	AUX
esrj-66107	43	20	known	know	VERB
esrj-66107	43	21	as	as	ADP
esrj-66107	43	22	semantic	semantic	ADJ
esrj-66107	43	23	inference	inference	NOUN
esrj-66107	43	24	.	.	PUNCT
esrj-66107	44	1	the	the	DET
esrj-66107	44	2	paper	paper	NOUN
esrj-66107	44	3	proposes	propose	VERB
esrj-66107	44	4	two	two	NUM
esrj-66107	44	5	concepts	concept	NOUN
esrj-66107	44	6	:	:	PUNCT
esrj-66107	44	7	code	code	NOUN
esrj-66107	44	8	co	co	NOUN
esrj-66107	44	9	-	-	NOUN
esrj-66107	44	10	occurrence	occurrence	ADJ
esrj-66107	44	11	matrix	matrix	NOUN
esrj-66107	44	12	and	and	CCONJ
esrj-66107	44	13	semantic	semantic	ADJ
esrj-66107	44	14	score	score	NOUN
esrj-66107	44	15	function	function	NOUN
esrj-66107	44	16	to	to	PART
esrj-66107	44	17	simplify	simplify	VERB
esrj-66107	44	18	the	the	DET
esrj-66107	44	19	process	process	NOUN
esrj-66107	44	20	of	of	ADP
esrj-66107	44	21	semantic	semantic	ADJ
esrj-66107	44	22	inference	inference	NOUN
esrj-66107	44	23	.	.	PUNCT
esrj-66107	45	1	2.1	2.1	NUM
esrj-66107	45	2	co	co	ADJ
esrj-66107	45	3	-	-	NOUN
esrj-66107	45	4	occurrence	occurrence	ADJ
esrj-66107	45	5	region	region	NOUN
esrj-66107	45	6	based	base	VERB
esrj-66107	45	7	bayesian	bayesian	NOUN
esrj-66107	45	8	network	network	NOUN
esrj-66107	45	9	algorithms	algorithm	NOUN
esrj-66107	45	10	for	for	ADP
esrj-66107	45	11	remote	remote	ADJ
esrj-66107	45	12	sensing	sensing	NOUN
esrj-66107	45	13	images	image	NOUN
esrj-66107	45	14	retrieval	retrieval	ADJ
esrj-66107	45	15	2.1.1	2.1.1	NUM
esrj-66107	45	16	features	feature	NOUN
esrj-66107	45	17	of	of	ADP
esrj-66107	45	18	ikonos	ikono	NOUN
esrj-66107	45	19	images	image	NOUN
esrj-66107	45	20	ikonos	ikono	NOUN
esrj-66107	45	21	is	be	AUX
esrj-66107	45	22	the	the	DET
esrj-66107	45	23	world	world	NOUN
esrj-66107	45	24	’s	’s	PART
esrj-66107	45	25	first	first	ADJ
esrj-66107	45	26	high	high	ADJ
esrj-66107	45	27	-	-	PUNCT
esrj-66107	45	28	resolution	resolution	NOUN
esrj-66107	45	29	commercial	commercial	ADJ
esrj-66107	45	30	satellite	satellite	NOUN
esrj-66107	45	31	,	,	PUNCT
esrj-66107	45	32	with	with	ADP
esrj-66107	45	33	an	an	DET
esrj-66107	45	34	orbit	orbit	NOUN
esrj-66107	45	35	altitude	altitude	NOUN
esrj-66107	45	36	of	of	ADP
esrj-66107	45	37	681	681	NUM
esrj-66107	45	38	km	km	NOUN
esrj-66107	45	39	,	,	PUNCT
esrj-66107	45	40	a	a	DET
esrj-66107	45	41	revisit	revisit	NOUN
esrj-66107	45	42	period	period	NOUN
esrj-66107	45	43	of	of	ADP
esrj-66107	45	44	3	3	NUM
esrj-66107	45	45	days	day	NOUN
esrj-66107	45	46	and	and	CCONJ
esrj-66107	45	47	a	a	DET
esrj-66107	45	48	nadir	nadir	NOUN
esrj-66107	45	49	image	image	NOUN
esrj-66107	45	50	swath	swath	NOUN
esrj-66107	45	51	width	width	NOUN
esrj-66107	45	52	of	of	ADP
esrj-66107	45	53	11.3	11.3	NUM
esrj-66107	45	54	km	km	NOUN
esrj-66107	45	55	.	.	PUNCT
esrj-66107	46	1	it	it	PRON
esrj-66107	46	2	has	have	VERB
esrj-66107	46	3	one	one	NUM
esrj-66107	46	4	panchromatic	panchromatic	ADJ
esrj-66107	46	5	band	band	NOUN
esrj-66107	46	6	and	and	CCONJ
esrj-66107	46	7	four	four	NUM
esrj-66107	46	8	multi	multi	ADJ
esrj-66107	46	9	-	-	ADJ
esrj-66107	46	10	spectral	spectral	ADJ
esrj-66107	46	11	bands	band	NOUN
esrj-66107	46	12	(	(	PUNCT
esrj-66107	46	13	pedergnana	pedergnana	NOUN
esrj-66107	46	14	,	,	PUNCT
esrj-66107	46	15	2013	2013	NUM
esrj-66107	46	16	;	;	PUNCT
esrj-66107	46	17	rahman	rahman	PROPN
esrj-66107	46	18	et	et	PROPN
esrj-66107	46	19	al	al	PROPN
esrj-66107	46	20	.	.	PROPN
esrj-66107	46	21	,	,	PUNCT
esrj-66107	46	22	2017	2017	NUM
esrj-66107	46	23	)	)	PUNCT
esrj-66107	46	24	.	.	PUNCT
esrj-66107	47	1	wherein	wherein	PROPN
esrj-66107	47	2	,	,	PUNCT
esrj-66107	47	3	the	the	DET
esrj-66107	47	4	spectral	spectral	ADJ
esrj-66107	47	5	resolution	resolution	NOUN
esrj-66107	47	6	of	of	ADP
esrj-66107	47	7	the	the	DET
esrj-66107	47	8	panchromatic	panchromatic	ADJ
esrj-66107	47	9	band	band	NOUN
esrj-66107	47	10	and	and	CCONJ
esrj-66107	47	11	multispectral	multispectral	ADJ
esrj-66107	47	12	bands	band	NOUN
esrj-66107	47	13	is	be	AUX
esrj-66107	47	14	1	1	NUM
esrj-66107	47	15	m	m	NOUN
esrj-66107	47	16	and	and	CCONJ
esrj-66107	47	17	4	4	NUM
esrj-66107	47	18	m	m	NOUN
esrj-66107	47	19	respectively	respectively	ADV
esrj-66107	47	20	.	.	PUNCT
esrj-66107	48	1	fundamental	fundamental	ADJ
esrj-66107	48	2	parameters	parameter	NOUN
esrj-66107	48	3	of	of	ADP
esrj-66107	48	4	wave	wave	NOUN
esrj-66107	48	5	bands	band	NOUN
esrj-66107	48	6	are	be	AUX
esrj-66107	48	7	shown	show	VERB
esrj-66107	48	8	in	in	ADP
esrj-66107	48	9	table	table	NOUN
esrj-66107	48	10	1	1	NUM
esrj-66107	48	11	.	.	PUNCT
esrj-66107	48	12	table	table	NOUN
esrj-66107	48	13	1	1	NUM
esrj-66107	48	14	.	.	PUNCT
esrj-66107	48	15	wave	wave	NOUN
esrj-66107	48	16	bands	band	NOUN
esrj-66107	48	17	of	of	ADP
esrj-66107	48	18	iknos	ikno	NOUN
esrj-66107	48	19	imagesz2.1.2	imagesz2.1.2	VERB
esrj-66107	48	20	spectral	spectral	ADJ
esrj-66107	48	21	feature	feature	NOUN
esrj-66107	48	22	extraction	extraction	NOUN
esrj-66107	48	23	this	this	DET
esrj-66107	48	24	study	study	NOUN
esrj-66107	48	25	adopts	adopt	VERB
esrj-66107	48	26	a	a	DET
esrj-66107	48	27	256	256	NUM
esrj-66107	48	28	-	-	PUNCT
esrj-66107	48	29	dimensional	dimensional	ADJ
esrj-66107	48	30	color	color	NOUN
esrj-66107	48	31	histogram	histogram	NOUN
esrj-66107	48	32	to	to	PART
esrj-66107	48	33	describe	describe	VERB
esrj-66107	48	34	spectral	spectral	ADJ
esrj-66107	48	35	features	feature	NOUN
esrj-66107	48	36	of	of	ADP
esrj-66107	48	37	images	image	NOUN
esrj-66107	48	38	.	.	PUNCT
esrj-66107	49	1	in	in	ADP
esrj-66107	49	2	fact	fact	NOUN
esrj-66107	49	3	,	,	PUNCT
esrj-66107	49	4	swain	swain	PROPN
esrj-66107	49	5	et	et	PROPN
esrj-66107	49	6	al	al	PROPN
esrj-66107	49	7	.	.	PROPN
esrj-66107	49	8	proposed	propose	VERB
esrj-66107	49	9	to	to	PART
esrj-66107	49	10	describe	describe	VERB
esrj-66107	49	11	color	color	NOUN
esrj-66107	49	12	features	feature	NOUN
esrj-66107	49	13	of	of	ADP
esrj-66107	49	14	images	image	NOUN
esrj-66107	49	15	with	with	ADP
esrj-66107	49	16	color	color	NOUN
esrj-66107	49	17	histograms	histogram	NOUN
esrj-66107	49	18	in	in	ADP
esrj-66107	49	19	1991	1991	NUM
esrj-66107	49	20	.	.	PUNCT
esrj-66107	50	1	since	since	SCONJ
esrj-66107	50	2	color	color	NOUN
esrj-66107	50	3	histogram	histogram	NOUN
esrj-66107	50	4	,	,	PUNCT
esrj-66107	50	5	which	which	PRON
esrj-66107	50	6	presents	present	VERB
esrj-66107	50	7	the	the	DET
esrj-66107	50	8	number	number	NOUN
esrj-66107	50	9	of	of	ADP
esrj-66107	50	10	image	image	NOUN
esrj-66107	50	11	pixels	pixel	NOUN
esrj-66107	50	12	of	of	ADP
esrj-66107	50	13	each	each	DET
esrj-66107	50	14	color	color	NOUN
esrj-66107	50	15	afterimage	afterimage	NOUN
esrj-66107	50	16	colors	color	NOUN
esrj-66107	50	17	is	be	AUX
esrj-66107	50	18	quantified	quantify	VERB
esrj-66107	50	19	,	,	PUNCT
esrj-66107	50	20	has	have	VERB
esrj-66107	50	21	transition	transition	NOUN
esrj-66107	50	22	invariance	invariance	NOUN
esrj-66107	50	23	and	and	CCONJ
esrj-66107	50	24	strong	strong	ADJ
esrj-66107	50	25	robustness	robustness	NOUN
esrj-66107	50	26	to	to	ADP
esrj-66107	50	27	rotation	rotation	NOUN
esrj-66107	50	28	and	and	CCONJ
esrj-66107	50	29	scale	scale	NOUN
esrj-66107	50	30	changes	change	NOUN
esrj-66107	50	31	,	,	PUNCT
esrj-66107	50	32	it	it	PRON
esrj-66107	50	33	is	be	AUX
esrj-66107	50	34	extensively	extensively	ADV
esrj-66107	50	35	used	use	VERB
esrj-66107	50	36	(	(	PUNCT
esrj-66107	50	37	stumpf	stumpf	PROPN
esrj-66107	50	38	,	,	PUNCT
esrj-66107	50	39	2014	2014	NUM
esrj-66107	50	40	;	;	PUNCT
esrj-66107	50	41	ruiz	ruiz	NOUN
esrj-66107	50	42	,	,	PUNCT
esrj-66107	50	43	2014	2014	NUM
esrj-66107	50	44	;	;	PUNCT
esrj-66107	50	45	maleki	maleki	NOUN
esrj-66107	50	46	-	-	PUNCT
esrj-66107	50	47	ghelichi	ghelichi	NOUN
esrj-66107	50	48	and	and	CCONJ
esrj-66107	50	49	sharifi	sharifi	NOUN
esrj-66107	50	50	,	,	PUNCT
esrj-66107	50	51	2017	2017	NUM
esrj-66107	50	52	)	)	PUNCT
esrj-66107	50	53	.	.	PUNCT
esrj-66107	51	1	normalization	normalization	NOUN
esrj-66107	51	2	processing	processing	NOUN
esrj-66107	51	3	shall	shall	AUX
esrj-66107	51	4	be	be	AUX
esrj-66107	51	5	adopted	adopt	VERB
esrj-66107	51	6	,	,	PUNCT
esrj-66107	51	7	and	and	CCONJ
esrj-66107	51	8	color	color	NOUN
esrj-66107	51	9	features	feature	NOUN
esrj-66107	51	10	shall	shall	AUX
esrj-66107	51	11	be	be	AUX
esrj-66107	51	12	described	describe	VERB
esrj-66107	51	13	by	by	ADP
esrj-66107	51	14	the	the	DET
esrj-66107	51	15	proportion	proportion	NOUN
esrj-66107	51	16	of	of	ADP
esrj-66107	51	17	(	(	PUNCT
esrj-66107	51	18	1	1	X
esrj-66107	51	19	)	)	PUNCT
esrj-66107	51	20	different	different	ADJ
esrj-66107	51	21	colors	color	NOUN
esrj-66107	51	22	to	to	PART
esrj-66107	51	23	keep	keep	VERB
esrj-66107	51	24	the	the	DET
esrj-66107	51	25	scale	scale	NOUN
esrj-66107	51	26	invariant	invariant	ADJ
esrj-66107	51	27	;	;	PUNCT
esrj-66107	51	28	as	as	SCONJ
esrj-66107	51	29	shown	show	VERB
esrj-66107	51	30	in	in	ADP
esrj-66107	51	31	formula	formula	NOUN
esrj-66107	51	32	(	(	PUNCT
esrj-66107	51	33	1	1	NUM
esrj-66107	51	34	)	)	PUNCT
esrj-66107	51	35	.	.	PUNCT
esrj-66107	52	1	in	in	ADP
esrj-66107	52	2	the	the	DET
esrj-66107	52	3	formula	formula	NOUN
esrj-66107	52	4	,	,	PUNCT
esrj-66107	52	5	n	n	X
esrj-66107	52	6	is	be	AUX
esrj-66107	52	7	the	the	DET
esrj-66107	52	8	total	total	ADJ
esrj-66107	52	9	number	number	NOUN
esrj-66107	52	10	of	of	ADP
esrj-66107	52	11	image	image	NOUN
esrj-66107	52	12	pixels	pixel	NOUN
esrj-66107	52	13	;	;	PUNCT
esrj-66107	52	14	l	l	NOUN
esrj-66107	52	15	is	be	AUX
esrj-66107	52	16	the	the	DET
esrj-66107	52	17	dimension	dimension	NOUN
esrj-66107	52	18	of	of	ADP
esrj-66107	52	19	the	the	DET
esrj-66107	52	20	color	color	NOUN
esrj-66107	52	21	histogram	histogram	NOUN
esrj-66107	52	22	;	;	PUNCT
esrj-66107	52	23	nk	nk	PROPN
esrj-66107	52	24	is	be	AUX
esrj-66107	52	25	the	the	DET
esrj-66107	52	26	number	number	NOUN
esrj-66107	52	27	of	of	ADP
esrj-66107	52	28	image	image	NOUN
esrj-66107	52	29	pixels	pixel	NOUN
esrj-66107	52	30	in	in	ADP
esrj-66107	52	31	the	the	DET
esrj-66107	52	32	k	k	NOUN
esrj-66107	52	33	-	-	PUNCT
esrj-66107	52	34	th	th	VERB
esrj-66107	52	35	color	color	NOUN
esrj-66107	52	36	dimension	dimension	NOUN
esrj-66107	52	37	.	.	PUNCT
esrj-66107	53	1	2.1.3	2.1.3	NUM
esrj-66107	53	2	image	image	NOUN
esrj-66107	53	3	segmentation	segmentation	NOUN
esrj-66107	53	4	in	in	ADP
esrj-66107	53	5	the	the	DET
esrj-66107	53	6	experiment	experiment	NOUN
esrj-66107	53	7	,	,	PUNCT
esrj-66107	53	8	multi	multi	ADJ
esrj-66107	53	9	-	-	ADJ
esrj-66107	53	10	spectral	spectral	ADJ
esrj-66107	53	11	konos	konos	NOUN
esrj-66107	53	12	images	image	NOUN
esrj-66107	53	13	are	be	AUX
esrj-66107	53	14	segmented	segment	VERB
esrj-66107	53	15	into	into	ADP
esrj-66107	53	16	non	non	ADJ
esrj-66107	53	17	-	-	ADJ
esrj-66107	53	18	repetitive	repetitive	ADJ
esrj-66107	53	19	sub	sub	NOUN
esrj-66107	53	20	-	-	NOUN
esrj-66107	53	21	images	image	NOUN
esrj-66107	53	22	,	,	PUNCT
esrj-66107	53	23	and	and	CCONJ
esrj-66107	53	24	256	256	NUM
esrj-66107	53	25	-	-	PUNCT
esrj-66107	53	26	dimensional	dimensional	ADJ
esrj-66107	53	27	color	color	NOUN
esrj-66107	53	28	histograms	histogram	NOUN
esrj-66107	53	29	of	of	ADP
esrj-66107	53	30	the	the	DET
esrj-66107	53	31	sub	sub	NOUN
esrj-66107	53	32	-	-	NOUN
esrj-66107	53	33	images	image	NOUN
esrj-66107	53	34	are	be	AUX
esrj-66107	53	35	extracted	extract	VERB
esrj-66107	53	36	and	and	CCONJ
esrj-66107	53	37	considered	consider	VERB
esrj-66107	53	38	as	as	ADP
esrj-66107	53	39	their	their	PRON
esrj-66107	53	40	spectral	spectral	ADJ
esrj-66107	53	41	features	feature	NOUN
esrj-66107	53	42	.	.	PUNCT
esrj-66107	54	1	however	however	ADV
esrj-66107	54	2	,	,	PUNCT
esrj-66107	54	3	the	the	DET
esrj-66107	54	4	sub	sub	NOUN
esrj-66107	54	5	-	-	NOUN
esrj-66107	54	6	images	image	NOUN
esrj-66107	54	7	are	be	AUX
esrj-66107	54	8	in	in	ADP
esrj-66107	54	9	large	large	ADJ
esrj-66107	54	10	quantities	quantity	NOUN
esrj-66107	54	11	,	,	PUNCT
esrj-66107	54	12	and	and	CCONJ
esrj-66107	54	13	objects	object	NOUN
esrj-66107	54	14	with	with	ADP
esrj-66107	54	15	similar	similar	ADJ
esrj-66107	54	16	characteristics	characteristic	NOUN
esrj-66107	54	17	are	be	AUX
esrj-66107	54	18	segmented	segment	VERB
esrj-66107	54	19	into	into	ADP
esrj-66107	54	20	different	different	ADJ
esrj-66107	54	21	sub	sub	NOUN
esrj-66107	54	22	-	-	NOUN
esrj-66107	54	23	images	image	NOUN
esrj-66107	54	24	,	,	PUNCT
esrj-66107	54	25	which	which	PRON
esrj-66107	54	26	is	be	AUX
esrj-66107	54	27	not	not	PART
esrj-66107	54	28	conducive	conducive	ADJ
esrj-66107	54	29	to	to	ADP
esrj-66107	54	30	image	image	NOUN
esrj-66107	54	31	retrieval	retrieval	NOUN
esrj-66107	54	32	(	(	PUNCT
esrj-66107	54	33	amiri	amiri	PROPN
esrj-66107	54	34	et	et	PROPN
esrj-66107	54	35	al	al	PROPN
esrj-66107	54	36	.	.	PROPN
esrj-66107	54	37	,	,	PUNCT
esrj-66107	54	38	2017	2017	NUM
esrj-66107	54	39	)	)	PUNCT
esrj-66107	54	40	.	.	PUNCT
esrj-66107	55	1	to	to	PART
esrj-66107	55	2	better	well	ADV
esrj-66107	55	3	describe	describe	VERB
esrj-66107	55	4	major	major	ADJ
esrj-66107	55	5	features	feature	NOUN
esrj-66107	55	6	of	of	ADP
esrj-66107	55	7	images	image	NOUN
esrj-66107	55	8	and	and	CCONJ
esrj-66107	55	9	reduce	reduce	VERB
esrj-66107	55	10	the	the	DET
esrj-66107	55	11	number	number	NOUN
esrj-66107	55	12	of	of	ADP
esrj-66107	55	13	feature	feature	NOUN
esrj-66107	55	14	vectors	vector	NOUN
esrj-66107	55	15	,	,	PUNCT
esrj-66107	55	16	the	the	DET
esrj-66107	55	17	k	k	NOUN
esrj-66107	55	18	-	-	PUNCT
esrj-66107	55	19	means	means	NOUN
esrj-66107	55	20	algorithm	algorithm	NOUN
esrj-66107	55	21	is	be	AUX
esrj-66107	55	22	introduced	introduce	VERB
esrj-66107	55	23	to	to	PART
esrj-66107	55	24	cluster	cluster	NOUN
esrj-66107	55	25	segmented	segment	VERB
esrj-66107	55	26	sub	sub	NOUN
esrj-66107	55	27	-	-	NOUN
esrj-66107	55	28	images	image	NOUN
esrj-66107	55	29	.	.	PUNCT
esrj-66107	56	1	the	the	DET
esrj-66107	56	2	clustering	clustering	ADJ
esrj-66107	56	3	results	result	NOUN
esrj-66107	56	4	are	be	AUX
esrj-66107	56	5	deemed	deem	VERB
esrj-66107	56	6	as	as	ADP
esrj-66107	56	7	the	the	DET
esrj-66107	56	8	final	final	ADJ
esrj-66107	56	9	segmentation	segmentation	NOUN
esrj-66107	56	10	results	result	NOUN
esrj-66107	56	11	.	.	PUNCT
esrj-66107	57	1	sub	sub	ADJ
esrj-66107	57	2	-	-	NOUN
esrj-66107	57	3	image	image	NOUN
esrj-66107	57	4	is	be	AUX
esrj-66107	57	5	taken	take	VERB
esrj-66107	57	6	as	as	SCONJ
esrj-66107	57	7	the	the	DET
esrj-66107	57	8	minimum	minimum	ADJ
esrj-66107	57	9	unit	unit	NOUN
esrj-66107	57	10	to	to	PART
esrj-66107	57	11	judge	judge	VERB
esrj-66107	57	12	whether	whether	SCONJ
esrj-66107	57	13	image	image	NOUN
esrj-66107	57	14	regions	region	NOUN
esrj-66107	57	15	are	be	AUX
esrj-66107	57	16	spatially	spatially	ADV
esrj-66107	57	17	connected	connect	VERB
esrj-66107	57	18	,	,	PUNCT
esrj-66107	57	19	preventing	prevent	VERB
esrj-66107	57	20	segmented	segment	VERB
esrj-66107	57	21	regions	region	NOUN
esrj-66107	57	22	from	from	ADP
esrj-66107	57	23	being	be	AUX
esrj-66107	57	24	spatially	spatially	ADV
esrj-66107	57	25	unconnected	unconnected	ADJ
esrj-66107	57	26	(	(	PUNCT
esrj-66107	57	27	tariq	tariq	NOUN
esrj-66107	57	28	et	et	PROPN
esrj-66107	57	29	al	al	PROPN
esrj-66107	57	30	.	.	PROPN
esrj-66107	57	31	,	,	PUNCT
esrj-66107	57	32	2017	2017	NUM
esrj-66107	57	33	)	)	PUNCT
esrj-66107	57	34	.	.	PUNCT
esrj-66107	58	1	if	if	SCONJ
esrj-66107	58	2	not	not	PART
esrj-66107	58	3	,	,	PUNCT
esrj-66107	58	4	the	the	DET
esrj-66107	58	5	clustering	clustering	ADJ
esrj-66107	58	6	results	result	NOUN
esrj-66107	58	7	shall	shall	AUX
esrj-66107	58	8	be	be	AUX
esrj-66107	58	9	segmented	segment	VERB
esrj-66107	58	10	so	so	SCONJ
esrj-66107	58	11	that	that	SCONJ
esrj-66107	58	12	the	the	DET
esrj-66107	58	13	images	image	NOUN
esrj-66107	58	14	are	be	AUX
esrj-66107	58	15	spatially	spatially	ADV
esrj-66107	58	16	combined	combine	VERB
esrj-66107	58	17	after	after	ADP
esrj-66107	58	18	segmentation	segmentation	NOUN
esrj-66107	58	19	.	.	PUNCT
esrj-66107	59	1	2.2	2.2	NUM
esrj-66107	59	2	codebook	codebook	NOUN
esrj-66107	59	3	and	and	CCONJ
esrj-66107	59	4	image	image	NOUN
esrj-66107	59	5	coding	code	VERB
esrj-66107	59	6	2.2.1	2.2.1	NUM
esrj-66107	59	7	codebook	codebook	NOUN
esrj-66107	59	8	image	image	NOUN
esrj-66107	59	9	features	feature	NOUN
esrj-66107	59	10	are	be	AUX
esrj-66107	59	11	accurately	accurately	ADV
esrj-66107	59	12	extracted	extract	VERB
esrj-66107	59	13	for	for	ADP
esrj-66107	59	14	quantification	quantification	NOUN
esrj-66107	59	15	and	and	CCONJ
esrj-66107	59	16	classified	classify	VERB
esrj-66107	59	17	by	by	ADP
esrj-66107	59	18	the	the	DET
esrj-66107	59	19	k	k	PROPN
esrj-66107	59	20	-	-	PUNCT
esrj-66107	59	21	means	means	NOUN
esrj-66107	59	22	algorithm	algorithm	NOUN
esrj-66107	59	23	to	to	PART
esrj-66107	59	24	realize	realize	VERB
esrj-66107	59	25	many	many	ADJ
esrj-66107	59	26	-	-	PUNCT
esrj-66107	59	27	to	to	ADP
esrj-66107	59	28	-	-	PUNCT
esrj-66107	59	29	many	many	ADJ
esrj-66107	59	30	matching	matching	NOUN
esrj-66107	59	31	between	between	ADP
esrj-66107	59	32	image	image	NOUN
esrj-66107	59	33	features	feature	NOUN
esrj-66107	59	34	and	and	CCONJ
esrj-66107	59	35	semantic	semantic	ADJ
esrj-66107	59	36	meanings	meaning	NOUN
esrj-66107	59	37	.	.	PUNCT
esrj-66107	60	1	assuming	assume	VERB
esrj-66107	60	2	that	that	SCONJ
esrj-66107	60	3	all	all	DET
esrj-66107	60	4	image	image	NOUN
esrj-66107	60	5	areas	area	NOUN
esrj-66107	60	6	in	in	ADP
esrj-66107	60	7	the	the	DET
esrj-66107	60	8	database	database	NOUN
esrj-66107	60	9	are	be	AUX
esrj-66107	60	10	expressed	express	VERB
esrj-66107	60	11	as	as	ADP
esrj-66107	60	12	,	,	PUNCT
esrj-66107	60	13	n	n	PRON
esrj-66107	60	14	is	be	AUX
esrj-66107	60	15	the	the	DET
esrj-66107	60	16	total	total	ADJ
esrj-66107	60	17	number	number	NOUN
esrj-66107	60	18	of	of	ADP
esrj-66107	60	19	image	image	NOUN
esrj-66107	60	20	segmentation	segmentation	NOUN
esrj-66107	60	21	regions	region	NOUN
esrj-66107	60	22	,	,	PUNCT
esrj-66107	60	23	f(d	f(d	PROPN
esrj-66107	60	24	)	)	PUNCT
esrj-66107	60	25	is	be	AUX
esrj-66107	60	26	the	the	DET
esrj-66107	60	27	region	region	NOUN
esrj-66107	60	28	feature	feature	NOUN
esrj-66107	60	29	extraction	extraction	NOUN
esrj-66107	60	30	function	function	NOUN
esrj-66107	60	31	and	and	CCONJ
esrj-66107	60	32	f(d	f(d	PROPN
esrj-66107	60	33	)	)	PUNCT
esrj-66107	60	34	represents	represent	VERB
esrj-66107	60	35	features	feature	NOUN
esrj-66107	60	36	of	of	ADP
esrj-66107	60	37	all	all	DET
esrj-66107	60	38	image	image	NOUN
esrj-66107	60	39	areas	area	NOUN
esrj-66107	60	40	in	in	ADP
esrj-66107	60	41	the	the	DET
esrj-66107	60	42	database	database	NOUN
esrj-66107	60	43	.	.	PUNCT
esrj-66107	61	1	f(d	f(d	PROPN
esrj-66107	61	2	)	)	PUNCT
esrj-66107	61	3	is	be	AUX
esrj-66107	61	4	classified	classify	VERB
esrj-66107	61	5	into	into	ADP
esrj-66107	61	6	l	l	NOUN
esrj-66107	61	7	categories	category	NOUN
esrj-66107	61	8	by	by	ADP
esrj-66107	61	9	the	the	DET
esrj-66107	61	10	k	k	PROPN
esrj-66107	61	11	-	-	PUNCT
esrj-66107	61	12	means	means	NOUN
esrj-66107	61	13	algorithm	algorithm	NOUN
esrj-66107	61	14	,	,	PUNCT
esrj-66107	61	15	and	and	CCONJ
esrj-66107	61	16	each	each	DET
esrj-66107	61	17	cluster	cluster	NOUN
esrj-66107	61	18	is	be	AUX
esrj-66107	61	19	a	a	DET
esrj-66107	61	20	set	set	NOUN
esrj-66107	61	21	of	of	ADP
esrj-66107	61	22	features	feature	NOUN
esrj-66107	61	23	.	.	PUNCT
esrj-66107	62	1	let	let	VERB
esrj-66107	62	2	cu	cu	PROPN
esrj-66107	62	3	be	be	AUX
esrj-66107	62	4	the	the	DET
esrj-66107	62	5	cluster	cluster	NOUN
esrj-66107	62	6	center	center	NOUN
esrj-66107	62	7	of	of	ADP
esrj-66107	62	8	λu	λu	PROPN
esrj-66107	62	9	,	,	PUNCT
esrj-66107	62	10	then	then	ADV
esrj-66107	62	11	there	there	PRON
esrj-66107	62	12	is	be	VERB
esrj-66107	62	13	a	a	DET
esrj-66107	62	14	mapping	mapping	NOUN
esrj-66107	62	15	relation	relation	NOUN
esrj-66107	62	16	.	.	PUNCT
esrj-66107	63	1	wherein	wherein	ADJ
esrj-66107	63	2	,	,	PUNCT
esrj-66107	63	3	cbi	cbi	PROPN
esrj-66107	63	4	is	be	AUX
esrj-66107	63	5	referred	refer	VERB
esrj-66107	63	6	to	to	ADP
esrj-66107	63	7	as	as	ADP
esrj-66107	63	8	codebook	codebook	NOUN
esrj-66107	63	9	and	and	CCONJ
esrj-66107	63	10	the	the	DET
esrj-66107	63	11	index	index	NOUN
esrj-66107	63	12	number	number	NOUN
esrj-66107	63	13	between	between	ADP
esrj-66107	63	14	cu	cu	PROPN
esrj-66107	63	15	and	and	CCONJ
esrj-66107	63	16	λu	λu	PROPN
esrj-66107	63	17	is	be	AUX
esrj-66107	63	18	referred	refer	VERB
esrj-66107	63	19	to	to	ADP
esrj-66107	63	20	as	as	ADP
esrj-66107	63	21	code	code	NOUN
esrj-66107	63	22	.	.	PUNCT
esrj-66107	64	1	for	for	ADP
esrj-66107	64	2	the	the	DET
esrj-66107	64	3	image	image	NOUN
esrj-66107	64	4	it	it	PRON
esrj-66107	64	5	,	,	PUNCT
esrj-66107	64	6	its	its	PRON
esrj-66107	64	7	region	region	NOUN
esrj-66107	64	8	code	code	NOUN
esrj-66107	64	9	rt	rt	PROPN
esrj-66107	64	10	can	can	AUX
esrj-66107	64	11	be	be	AUX
esrj-66107	64	12	expressed	express	VERB
esrj-66107	64	13	as	as	ADP
esrj-66107	64	14	ci(rt	ci(rt	ADJ
esrj-66107	64	15	)	)	PUNCT
esrj-66107	64	16	.	.	PUNCT
esrj-66107	65	1	wherein	wherein	PROPN
esrj-66107	65	2	,	,	PUNCT
esrj-66107	65	3	ci	ci	PROPN
esrj-66107	65	4	is	be	AUX
esrj-66107	65	5	the	the	DET
esrj-66107	65	6	code	code	NOUN
esrj-66107	65	7	function	function	NOUN
esrj-66107	65	8	of	of	ADP
esrj-66107	65	9	the	the	DET
esrj-66107	65	10	region	region	NOUN
esrj-66107	65	11	.	.	PUNCT
esrj-66107	66	1	since	since	SCONJ
esrj-66107	66	2	codebooks	codebook	NOUN
esrj-66107	66	3	generated	generate	VERB
esrj-66107	66	4	by	by	ADP
esrj-66107	66	5	the	the	DET
esrj-66107	66	6	k	k	PROPN
esrj-66107	66	7	-	-	PUNCT
esrj-66107	66	8	means	means	NOUN
esrj-66107	66	9	algorithm	algorithm	NOUN
esrj-66107	66	10	are	be	AUX
esrj-66107	66	11	all	all	PRON
esrj-66107	66	12	of	of	ADP
esrj-66107	66	13	the	the	DET
esrj-66107	66	14	fixed	fix	VERB
esrj-66107	66	15	length	length	NOUN
esrj-66107	66	16	and	and	CCONJ
esrj-66107	66	17	appropriate	appropriate	ADJ
esrj-66107	66	18	codebook	codebook	NOUN
esrj-66107	66	19	sizes	size	NOUN
esrj-66107	66	20	are	be	AUX
esrj-66107	66	21	difficult	difficult	ADJ
esrj-66107	66	22	to	to	PART
esrj-66107	66	23	be	be	AUX
esrj-66107	66	24	identified	identify	VERB
esrj-66107	66	25	,	,	PUNCT
esrj-66107	66	26	this	this	DET
esrj-66107	66	27	paper	paper	NOUN
esrj-66107	66	28	adopts	adopt	VERB
esrj-66107	66	29	tree	tree	NOUN
esrj-66107	66	30	structured	structure	VERB
esrj-66107	66	31	coding	code	VERB
esrj-66107	66	32	to	to	PART
esrj-66107	66	33	solve	solve	VERB
esrj-66107	66	34	the	the	DET
esrj-66107	66	35	problem	problem	NOUN
esrj-66107	66	36	.	.	PUNCT
esrj-66107	67	1	tree	tree	NOUN
esrj-66107	67	2	-	-	PUNCT
esrj-66107	67	3	structured	structure	VERB
esrj-66107	67	4	codebooks	codebook	NOUN
esrj-66107	67	5	are	be	AUX
esrj-66107	67	6	composed	compose	VERB
esrj-66107	67	7	of	of	ADP
esrj-66107	67	8	different	different	ADJ
esrj-66107	67	9	levels	level	NOUN
esrj-66107	67	10	of	of	ADP
esrj-66107	67	11	(	(	PUNCT
esrj-66107	67	12	n	n	CCONJ
esrj-66107	67	13	represents	represent	VERB
esrj-66107	67	14	the	the	DET
esrj-66107	67	15	number	number	NOUN
esrj-66107	67	16	of	of	ADP
esrj-66107	67	17	codebook	codebook	NOUN
esrj-66107	67	18	levels	level	NOUN
esrj-66107	67	19	)	)	PUNCT
esrj-66107	67	20	.	.	PUNCT
esrj-66107	68	1	figure	figure	NOUN
esrj-66107	68	2	1	1	NUM
esrj-66107	68	3	demonstrates	demonstrate	VERB
esrj-66107	68	4	a	a	DET
esrj-66107	68	5	schematic	schematic	ADJ
esrj-66107	68	6	drawing	drawing	NOUN
esrj-66107	68	7	31a	31a	NOUN
esrj-66107	68	8	co	co	ADJ
esrj-66107	68	9	-	-	NOUN
esrj-66107	68	10	occurrence	occurrence	ADJ
esrj-66107	68	11	region	region	NOUN
esrj-66107	68	12	based	base	VERB
esrj-66107	68	13	bayesian	bayesian	NOUN
esrj-66107	68	14	network	network	NOUN
esrj-66107	68	15	stepwise	stepwise	NOUN
esrj-66107	68	16	remote	remote	ADJ
esrj-66107	68	17	sensing	sense	VERB
esrj-66107	68	18	image	image	NOUN
esrj-66107	68	19	retrieval	retrieval	NOUN
esrj-66107	68	20	algorithm	algorithm	NOUN
esrj-66107	68	21	of	of	ADP
esrj-66107	68	22	structured	structured	ADJ
esrj-66107	68	23	tree	tree	NOUN
esrj-66107	68	24	coding	coding	NOUN
esrj-66107	68	25	.	.	PUNCT
esrj-66107	69	1	figure	figure	NOUN
esrj-66107	69	2	1	1	NUM
esrj-66107	69	3	.	.	PUNCT
esrj-66107	70	1	a	a	DET
esrj-66107	70	2	schematic	schematic	ADJ
esrj-66107	70	3	drawing	drawing	NOUN
esrj-66107	70	4	of	of	ADP
esrj-66107	70	5	three	three	NUM
esrj-66107	70	6	-	-	PUNCT
esrj-66107	70	7	level	level	NOUN
esrj-66107	70	8	tree	tree	NOUN
esrj-66107	70	9	structured	structure	VERB
esrj-66107	70	10	codebooks	codebook	NOUN
esrj-66107	70	11	according	accord	VERB
esrj-66107	70	12	to	to	PART
esrj-66107	70	13	figure	figure	VERB
esrj-66107	70	14	1	1	NUM
esrj-66107	70	15	,	,	PUNCT
esrj-66107	70	16	top	top	ADJ
esrj-66107	70	17	-	-	PUNCT
esrj-66107	70	18	level	level	NOUN
esrj-66107	70	19	codes	code	NOUN
esrj-66107	70	20	have	have	VERB
esrj-66107	70	21	more	more	ADJ
esrj-66107	70	22	regional	regional	ADJ
esrj-66107	70	23	features	feature	NOUN
esrj-66107	70	24	,	,	PUNCT
esrj-66107	70	25	which	which	PRON
esrj-66107	70	26	flexibly	flexibly	ADV
esrj-66107	70	27	and	and	CCONJ
esrj-66107	70	28	efficiently	efficiently	ADV
esrj-66107	70	29	allows	allow	VERB
esrj-66107	70	30	users	user	NOUN
esrj-66107	70	31	to	to	PART
esrj-66107	70	32	select	select	VERB
esrj-66107	70	33	codebooks	codebook	NOUN
esrj-66107	70	34	required	require	VERB
esrj-66107	70	35	at	at	ADP
esrj-66107	70	36	different	different	ADJ
esrj-66107	70	37	levels	level	NOUN
esrj-66107	70	38	of	of	ADP
esrj-66107	70	39	.	.	PUNCT
esrj-66107	71	1	based	base	VERB
esrj-66107	71	2	on	on	ADP
esrj-66107	71	3	the	the	DET
esrj-66107	71	4	features	feature	NOUN
esrj-66107	71	5	of	of	ADP
esrj-66107	71	6	image	image	NOUN
esrj-66107	71	7	areas	area	NOUN
esrj-66107	71	8	,	,	PUNCT
esrj-66107	71	9	the	the	DET
esrj-66107	71	10	chosen	choose	VERB
esrj-66107	71	11	codebooks	codebook	NOUN
esrj-66107	71	12	shall	shall	AUX
esrj-66107	71	13	be	be	AUX
esrj-66107	71	14	used	use	VERB
esrj-66107	71	15	to	to	PART
esrj-66107	71	16	encode	encode	VERB
esrj-66107	71	17	images	image	NOUN
esrj-66107	71	18	,	,	PUNCT
esrj-66107	71	19	thereby	thereby	ADV
esrj-66107	71	20	generating	generate	VERB
esrj-66107	71	21	image	image	NOUN
esrj-66107	71	22	library	library	NOUN
esrj-66107	71	23	(	(	PUNCT
esrj-66107	71	24	encoded	encode	VERB
esrj-66107	71	25	image	image	NOUN
esrj-66107	71	26	library	library	NOUN
esrj-66107	71	27	)	)	PUNCT
esrj-66107	71	28	.	.	PUNCT
esrj-66107	72	1	2.2.2	2.2.2	NUM
esrj-66107	72	2	image	image	NOUN
esrj-66107	72	3	coding	code	VERB
esrj-66107	72	4	it	it	PRON
esrj-66107	72	5	is	be	AUX
esrj-66107	72	6	necessary	necessary	ADJ
esrj-66107	72	7	to	to	PART
esrj-66107	72	8	select	select	VERB
esrj-66107	72	9	proper	proper	ADJ
esrj-66107	72	10	codebooks	codebook	NOUN
esrj-66107	72	11	from	from	ADP
esrj-66107	72	12	tree	tree	NOUN
esrj-66107	72	13	-	-	PUNCT
esrj-66107	72	14	structured	structure	VERB
esrj-66107	72	15	codebooks	codebook	NOUN
esrj-66107	72	16	to	to	PART
esrj-66107	72	17	encode	encode	ADJ
esrj-66107	72	18	images	image	NOUN
esrj-66107	72	19	.	.	PUNCT
esrj-66107	73	1	the	the	DET
esrj-66107	73	2	coding	code	VERB
esrj-66107	73	3	function	function	NOUN
esrj-66107	73	4	of	of	ADP
esrj-66107	73	5	image	image	NOUN
esrj-66107	73	6	areas	area	NOUN
esrj-66107	73	7	is	be	AUX
esrj-66107	73	8	defined	define	VERB
esrj-66107	73	9	as	as	ADP
esrj-66107	73	10	(	(	PUNCT
esrj-66107	73	11	n	n	PRON
esrj-66107	73	12	represents	represent	VERB
esrj-66107	73	13	the	the	DET
esrj-66107	73	14	number	number	NOUN
esrj-66107	73	15	of	of	ADP
esrj-66107	73	16	tree	tree	NOUN
esrj-66107	73	17	-	-	PUNCT
esrj-66107	73	18	structured	structure	VERB
esrj-66107	73	19	codebook	codebook	NOUN
esrj-66107	73	20	level	level	NOUN
esrj-66107	73	21	)	)	PUNCT
esrj-66107	73	22	,	,	PUNCT
esrj-66107	73	23	and	and	CCONJ
esrj-66107	73	24	the	the	DET
esrj-66107	73	25	process	process	NOUN
esrj-66107	73	26	of	of	ADP
esrj-66107	73	27	image	image	NOUN
esrj-66107	73	28	coding	coding	NOUN
esrj-66107	73	29	is	be	AUX
esrj-66107	73	30	described	describe	VERB
esrj-66107	73	31	as	as	ADP
esrj-66107	73	32	follows	follow	VERB
esrj-66107	73	33	:	:	PUNCT
esrj-66107	73	34	step	step	NOUN
esrj-66107	73	35	1	1	NUM
esrj-66107	73	36	:	:	PUNCT
esrj-66107	73	37	select	select	VERB
esrj-66107	73	38	a	a	DET
esrj-66107	73	39	m	m	NOUN
esrj-66107	73	40	-	-	PUNCT
esrj-66107	73	41	level	level	NOUN
esrj-66107	73	42	tree	tree	NOUN
esrj-66107	73	43	-	-	PUNCT
esrj-66107	73	44	structured	structure	VERB
esrj-66107	73	45	codebook	codebook	NOUN
esrj-66107	73	46	for	for	ADP
esrj-66107	73	47	in	in	ADP
esrj-66107	73	48	it	it	PRON
esrj-66107	73	49	and	and	CCONJ
esrj-66107	73	50	its	its	PRON
esrj-66107	73	51	region	region	NOUN
esrj-66107	73	52	features	feature	VERB
esrj-66107	73	53	,	,	PUNCT
esrj-66107	73	54	and	and	CCONJ
esrj-66107	73	55	let	let	VERB
esrj-66107	73	56	the	the	DET
esrj-66107	73	57	optimal	optimal	ADJ
esrj-66107	73	58	codebook	codebook	NOUN
esrj-66107	73	59	level	level	NOUN
esrj-66107	73	60	l	l	NOUN
esrj-66107	73	61	be	be	VERB
esrj-66107	73	62	1	1	NUM
esrj-66107	73	63	.	.	PUNCT
esrj-66107	74	1	step	step	NOUN
esrj-66107	74	2	2	2	NUM
esrj-66107	74	3	:	:	PUNCT
esrj-66107	74	4	traverse	traverse	VERB
esrj-66107	74	5	each	each	DET
esrj-66107	74	6	cluster	cluster	NOUN
esrj-66107	74	7	λu	λu	NOUN
esrj-66107	74	8	,	,	PUNCT
esrj-66107	74	9	identify	identify	VERB
esrj-66107	74	10	the	the	DET
esrj-66107	74	11	cluster	cluster	NOUN
esrj-66107	74	12	center	center	NOUN
esrj-66107	74	13	cu	cu	PROPN
esrj-66107	74	14	that	that	PRON
esrj-66107	74	15	contains	contain	VERB
esrj-66107	74	16	clusters	cluster	NOUN
esrj-66107	74	17	of	of	ADP
esrj-66107	74	18	regional	regional	ADJ
esrj-66107	74	19	features	feature	NOUN
esrj-66107	74	20	and	and	CCONJ
esrj-66107	74	21	encode	encode	VERB
esrj-66107	74	22	the	the	DET
esrj-66107	74	23	region	region	NOUN
esrj-66107	74	24	as	as	ADP
esrj-66107	74	25	u	u	NOUN
esrj-66107	74	26	,	,	PUNCT
esrj-66107	74	27	then	then	ADV
esrj-66107	74	28	,	,	PUNCT
esrj-66107	74	29	.	.	PUNCT
esrj-66107	75	1	step	step	NOUN
esrj-66107	75	2	3	3	NUM
esrj-66107	75	3	:	:	PUNCT
esrj-66107	75	4	if	if	SCONJ
esrj-66107	75	5	,	,	PUNCT
esrj-66107	75	6	the	the	DET
esrj-66107	75	7	program	program	NOUN
esrj-66107	75	8	stops	stop	VERB
esrj-66107	75	9	.	.	PUNCT
esrj-66107	76	1	otherwise	otherwise	ADV
esrj-66107	76	2	,	,	PUNCT
esrj-66107	76	3	it	it	PRON
esrj-66107	76	4	will	will	AUX
esrj-66107	76	5	go	go	VERB
esrj-66107	76	6	to	to	PART
esrj-66107	76	7	step	step	VERB
esrj-66107	76	8	2	2	NUM
esrj-66107	76	9	.	.	PUNCT
esrj-66107	76	10	step	step	NOUN
esrj-66107	76	11	4	4	NUM
esrj-66107	76	12	:	:	PUNCT
esrj-66107	76	13	encode	encode	VERB
esrj-66107	76	14	into	into	ADP
esrj-66107	76	15	a	a	DET
esrj-66107	76	16	code	code	NOUN
esrj-66107	76	17	strand	strand	NOUN
esrj-66107	76	18	(	(	PUNCT
esrj-66107	76	19	each	each	DET
esrj-66107	76	20	code	code	NOUN
esrj-66107	76	21	represents	represent	VERB
esrj-66107	76	22	clusters	cluster	NOUN
esrj-66107	76	23	of	of	ADP
esrj-66107	76	24	image	image	NOUN
esrj-66107	76	25	areas	area	NOUN
esrj-66107	76	26	at	at	ADP
esrj-66107	76	27	different	different	ADJ
esrj-66107	76	28	codebook	codebook	NOUN
esrj-66107	76	29	levels	level	NOUN
esrj-66107	76	30	)	)	PUNCT
esrj-66107	76	31	,	,	PUNCT
esrj-66107	76	32	encode	encode	VERB
esrj-66107	76	33	each	each	DET
esrj-66107	76	34	image	image	NOUN
esrj-66107	76	35	area	area	NOUN
esrj-66107	76	36	and	and	CCONJ
esrj-66107	76	37	obtain	obtain	VERB
esrj-66107	76	38	encoded	encode	VERB
esrj-66107	76	39	images	image	NOUN
esrj-66107	76	40	,	,	PUNCT
esrj-66107	76	41	thereby	thereby	ADV
esrj-66107	76	42	forming	form	VERB
esrj-66107	76	43	encoded	encode	VERB
esrj-66107	76	44	image	image	NOUN
esrj-66107	76	45	library	library	NOUN
esrj-66107	76	46	.	.	PUNCT
esrj-66107	77	1	2.3	2.3	NUM
esrj-66107	77	2	semantic	semantic	ADJ
esrj-66107	77	3	inference	inference	NOUN
esrj-66107	77	4	2.3.1	2.3.1	NUM
esrj-66107	77	5	mathematical	mathematical	ADJ
esrj-66107	77	6	models	model	NOUN
esrj-66107	77	7	,	,	PUNCT
esrj-66107	77	8	and	and	CCONJ
esrj-66107	77	9	coexist	coexist	VERB
esrj-66107	77	10	in	in	ADP
esrj-66107	77	11	the	the	DET
esrj-66107	77	12	image	image	NOUN
esrj-66107	77	13	it	it	PRON
esrj-66107	77	14	,	,	PUNCT
esrj-66107	77	15	and	and	CCONJ
esrj-66107	77	16	are	be	AUX
esrj-66107	77	17	referred	refer	VERB
esrj-66107	77	18	to	to	ADP
esrj-66107	77	19	as	as	ADP
esrj-66107	77	20	cooccurrence	cooccurrence	NOUN
esrj-66107	77	21	regions	region	NOUN
esrj-66107	77	22	of	of	ADP
esrj-66107	77	23	.	.	PUNCT
esrj-66107	78	1	semantic	semantic	ADJ
esrj-66107	78	2	inference	inference	NOUN
esrj-66107	78	3	is	be	AUX
esrj-66107	78	4	based	base	VERB
esrj-66107	78	5	on	on	ADP
esrj-66107	78	6	codes	code	NOUN
esrj-66107	78	7	of	of	ADP
esrj-66107	78	8	and	and	CCONJ
esrj-66107	78	9	its	its	PRON
esrj-66107	78	10	co	co	ADJ
esrj-66107	78	11	-	-	ADJ
esrj-66107	78	12	occurrence	occurrence	ADJ
esrj-66107	78	13	regions	region	NOUN
esrj-66107	78	14	(	(	PUNCT
esrj-66107	78	15	and	and	CCONJ
esrj-66107	78	16	)	)	PUNCT
esrj-66107	78	17	.	.	PUNCT
esrj-66107	79	1	spectral	spectral	ADJ
esrj-66107	79	2	or	or	CCONJ
esrj-66107	79	3	texture	texture	ADJ
esrj-66107	79	4	features	feature	NOUN
esrj-66107	79	5	of	of	ADP
esrj-66107	79	6	the	the	DET
esrj-66107	79	7	triad	triad	NOUN
esrj-66107	79	8	constituted	constitute	VERB
esrj-66107	79	9	by	by	ADP
esrj-66107	79	10	,	,	PUNCT
esrj-66107	79	11	and	and	CCONJ
esrj-66107	79	12	are	be	AUX
esrj-66107	79	13	described	describe	VERB
esrj-66107	79	14	by	by	ADP
esrj-66107	79	15	corresponding	correspond	VERB
esrj-66107	79	16	code	code	NOUN
esrj-66107	79	17	triad	triad	PROPN
esrj-66107	79	18	(	(	PUNCT
esrj-66107	79	19	region	region	NOUN
esrj-66107	79	20	code	code	PROPN
esrj-66107	79	21	)	)	PUNCT
esrj-66107	79	22	.	.	PUNCT
esrj-66107	80	1	assuming	assume	VERB
esrj-66107	80	2	that	that	SCONJ
esrj-66107	80	3	the	the	DET
esrj-66107	80	4	codebook	codebook	NOUN
esrj-66107	80	5	has	have	VERB
esrj-66107	80	6	l	l	NOUN
esrj-66107	80	7	codes	code	NOUN
esrj-66107	80	8	,	,	PUNCT
esrj-66107	80	9	it	it	PRON
esrj-66107	80	10	may	may	AUX
esrj-66107	80	11	generate	generate	VERB
esrj-66107	80	12	l3	l3	PROPN
esrj-66107	80	13	code	code	NOUN
esrj-66107	80	14	combinations	combination	NOUN
esrj-66107	80	15	from	from	ADP
esrj-66107	80	16	the	the	DET
esrj-66107	80	17	perspective	perspective	NOUN
esrj-66107	80	18	of	of	ADP
esrj-66107	80	19	the	the	DET
esrj-66107	80	20	combination	combination	NOUN
esrj-66107	80	21	.	.	PUNCT
esrj-66107	81	1	in	in	ADP
esrj-66107	81	2	this	this	DET
esrj-66107	81	3	way	way	NOUN
esrj-66107	81	4	,	,	PUNCT
esrj-66107	81	5	spectral	spectral	ADJ
esrj-66107	81	6	or	or	CCONJ
esrj-66107	81	7	texture	texture	ADJ
esrj-66107	81	8	feature	feature	NOUN
esrj-66107	81	9	symbols	symbol	NOUN
esrj-66107	81	10	of	of	ADP
esrj-66107	81	11	the	the	DET
esrj-66107	81	12	region	region	NOUN
esrj-66107	81	13	increased	increase	VERB
esrj-66107	81	14	from	from	ADP
esrj-66107	81	15	l	l	NOUN
esrj-66107	81	16	to	to	ADP
esrj-66107	81	17	l3	l3	NOUN
esrj-66107	81	18	,	,	PUNCT
esrj-66107	81	19	thereby	thereby	ADV
esrj-66107	81	20	improving	improve	VERB
esrj-66107	81	21	the	the	DET
esrj-66107	81	22	precision	precision	NOUN
esrj-66107	81	23	of	of	ADP
esrj-66107	81	24	semantic	semantic	ADJ
esrj-66107	81	25	inference	inference	NOUN
esrj-66107	81	26	.	.	PUNCT
esrj-66107	82	1	when	when	SCONJ
esrj-66107	82	2	inferring	infer	VERB
esrj-66107	82	3	semantic	semantic	ADJ
esrj-66107	82	4	meanings	meaning	NOUN
esrj-66107	82	5	of	of	ADP
esrj-66107	82	6	images	image	NOUN
esrj-66107	82	7	,	,	PUNCT
esrj-66107	82	8	the	the	DET
esrj-66107	82	9	correlation	correlation	NOUN
esrj-66107	82	10	between	between	ADP
esrj-66107	82	11	it	it	PRON
esrj-66107	82	12	and	and	CCONJ
esrj-66107	82	13	is	be	AUX
esrj-66107	82	14	measured	measure	VERB
esrj-66107	82	15	by	by	ADP
esrj-66107	82	16	the	the	DET
esrj-66107	82	17	posterior	posterior	ADJ
esrj-66107	82	18	probability	probability	NOUN
esrj-66107	82	19	of	of	ADP
esrj-66107	82	20	cooccurrence	cooccurrence	NOUN
esrj-66107	82	21	region	region	NOUN
esrj-66107	82	22	based	base	VERB
esrj-66107	82	23	bayesian	bayesian	NOUN
esrj-66107	82	24	networks	network	NOUN
esrj-66107	82	25	.	.	PUNCT
esrj-66107	83	1	co	co	ADJ
esrj-66107	83	2	-	-	NOUN
esrj-66107	83	3	occurrence	occurrence	ADJ
esrj-66107	83	4	region	region	NOUN
esrj-66107	83	5	based	base	VERB
esrj-66107	83	6	bayesian	bayesian	NOUN
esrj-66107	83	7	networks	network	NOUN
esrj-66107	83	8	are	be	AUX
esrj-66107	83	9	shown	show	VERB
esrj-66107	83	10	in	in	ADP
esrj-66107	83	11	figure	figure	NOUN
esrj-66107	83	12	2	2	NUM
esrj-66107	83	13	:	:	PUNCT
esrj-66107	83	14	figure	figure	NOUN
esrj-66107	83	15	2	2	NUM
esrj-66107	83	16	.	.	PUNCT
esrj-66107	83	17	co	co	ADJ
esrj-66107	83	18	-	-	NOUN
esrj-66107	83	19	occurrence	occurrence	ADJ
esrj-66107	83	20	region	region	NOUN
esrj-66107	83	21	based	base	VERB
esrj-66107	83	22	bayesian	bayesian	NOUN
esrj-66107	83	23	networks	network	NOUN
esrj-66107	83	24	formula	formula	NOUN
esrj-66107	83	25	(	(	PUNCT
esrj-66107	83	26	2	2	X
esrj-66107	83	27	)	)	PUNCT
esrj-66107	83	28	is	be	AUX
esrj-66107	83	29	the	the	DET
esrj-66107	83	30	formula	formula	NOUN
esrj-66107	83	31	for	for	ADP
esrj-66107	83	32	calculating	calculate	VERB
esrj-66107	83	33	the	the	DET
esrj-66107	83	34	posterior	posterior	ADJ
esrj-66107	83	35	probability	probability	NOUN
esrj-66107	83	36	of	of	ADP
esrj-66107	83	37	co	co	ADJ
esrj-66107	83	38	-	-	NOUN
esrj-66107	83	39	occurrence	occurrence	ADJ
esrj-66107	83	40	region	region	NOUN
esrj-66107	83	41	based	base	VERB
esrj-66107	83	42	bayesian	bayesian	NOUN
esrj-66107	83	43	networks	network	NOUN
esrj-66107	83	44	.	.	PUNCT
esrj-66107	84	1	(	(	PUNCT
esrj-66107	84	2	2	2	X
esrj-66107	84	3	)	)	PUNCT
esrj-66107	84	4	(	(	PUNCT
esrj-66107	84	5	5	5	NUM
esrj-66107	84	6	)	)	PUNCT
esrj-66107	84	7	(	(	PUNCT
esrj-66107	84	8	7	7	NUM
esrj-66107	84	9	)	)	PUNCT
esrj-66107	84	10	(	(	PUNCT
esrj-66107	84	11	6	6	NUM
esrj-66107	84	12	)	)	PUNCT
esrj-66107	84	13	(	(	PUNCT
esrj-66107	84	14	3	3	X
esrj-66107	84	15	)	)	PUNCT
esrj-66107	84	16	according	accord	VERB
esrj-66107	84	17	to	to	ADP
esrj-66107	84	18	bayesian	bayesian	NOUN
esrj-66107	84	19	formula	formula	NOUN
esrj-66107	84	20	,	,	PUNCT
esrj-66107	84	21	formula	formula	NOUN
esrj-66107	84	22	(	(	PUNCT
esrj-66107	84	23	2	2	X
esrj-66107	84	24	)	)	PUNCT
esrj-66107	84	25	can	can	AUX
esrj-66107	84	26	be	be	AUX
esrj-66107	84	27	expressed	express	VERB
esrj-66107	84	28	as	as	ADP
esrj-66107	84	29	:	:	PUNCT
esrj-66107	84	30	where	where	SCONJ
esrj-66107	84	31	in	in	ADV
esrj-66107	84	32	,	,	PUNCT
esrj-66107	84	33	is	be	AUX
esrj-66107	84	34	the	the	DET
esrj-66107	84	35	prior	prior	ADJ
esrj-66107	84	36	probability	probability	NOUN
esrj-66107	84	37	of	of	ADP
esrj-66107	84	38	;	;	PUNCT
esrj-66107	84	39	the	the	DET
esrj-66107	84	40	conditional	conditional	ADJ
esrj-66107	84	41	probability	probability	NOUN
esrj-66107	84	42	reflects	reflect	VERB
esrj-66107	84	43	random	random	ADJ
esrj-66107	84	44	links	link	NOUN
esrj-66107	84	45	between	between	ADP
esrj-66107	84	46	codes	code	NOUN
esrj-66107	84	47	and	and	CCONJ
esrj-66107	84	48	semantic	semantic	ADJ
esrj-66107	84	49	concepts	concept	NOUN
esrj-66107	84	50	and	and	CCONJ
esrj-66107	84	51	can	can	AUX
esrj-66107	84	52	be	be	AUX
esrj-66107	84	53	obtained	obtain	VERB
esrj-66107	84	54	from	from	ADP
esrj-66107	84	55	user	user	NOUN
esrj-66107	84	56	feedback	feedback	NOUN
esrj-66107	84	57	or	or	CCONJ
esrj-66107	84	58	training	training	NOUN
esrj-66107	84	59	samples	sample	NOUN
esrj-66107	84	60	.	.	PUNCT
esrj-66107	85	1	assuming	assume	VERB
esrj-66107	85	2	that	that	SCONJ
esrj-66107	85	3	the	the	DET
esrj-66107	85	4	prior	prior	ADJ
esrj-66107	85	5	probability	probability	NOUN
esrj-66107	85	6	follows	follow	VERB
esrj-66107	85	7	a	a	DET
esrj-66107	85	8	uniform	uniform	ADJ
esrj-66107	85	9	distribution	distribution	NOUN
esrj-66107	85	10	,	,	PUNCT
esrj-66107	85	11	it	it	PRON
esrj-66107	85	12	can	can	AUX
esrj-66107	85	13	be	be	AUX
esrj-66107	85	14	ignored	ignore	VERB
esrj-66107	85	15	when	when	SCONJ
esrj-66107	85	16	calculating	calculate	VERB
esrj-66107	85	17	.	.	PUNCT
esrj-66107	86	1	the	the	DET
esrj-66107	86	2	calculation	calculation	NOUN
esrj-66107	86	3	formula	formula	NOUN
esrj-66107	86	4	is	be	AUX
esrj-66107	86	5	as	as	SCONJ
esrj-66107	86	6	follows	follow	VERB
esrj-66107	86	7	:	:	PUNCT
esrj-66107	86	8	when	when	SCONJ
esrj-66107	86	9	interpreting	interpret	VERB
esrj-66107	86	10	the	the	DET
esrj-66107	86	11	image	image	NOUN
esrj-66107	86	12	,	,	PUNCT
esrj-66107	86	13	importance	importance	NOUN
esrj-66107	86	14	of	of	ADP
esrj-66107	86	15	the	the	DET
esrj-66107	86	16	code	code	NOUN
esrj-66107	86	17	triad	triad	NOUN
esrj-66107	86	18	can	can	AUX
esrj-66107	86	19	be	be	AUX
esrj-66107	86	20	described	describe	VERB
esrj-66107	86	21	with	with	ADP
esrj-66107	86	22	and	and	CCONJ
esrj-66107	86	23	calculated	calculate	VERB
esrj-66107	86	24	by	by	ADP
esrj-66107	86	25	the	the	DET
esrj-66107	86	26	product	product	NOUN
esrj-66107	86	27	of	of	ADP
esrj-66107	86	28	region	region	NOUN
esrj-66107	86	29	importance	importance	NOUN
esrj-66107	86	30	function	function	NOUN
esrj-66107	86	31	and	and	CCONJ
esrj-66107	86	32	co	co	NOUN
esrj-66107	86	33	-	-	ADJ
esrj-66107	86	34	occurrence	occurrence	ADJ
esrj-66107	86	35	region	region	NOUN
esrj-66107	86	36	importance	importance	NOUN
esrj-66107	86	37	function	function	NOUN
esrj-66107	86	38	.	.	PUNCT
esrj-66107	87	1	assuming	assume	VERB
esrj-66107	87	2	that	that	PRON
esrj-66107	87	3	and	and	CCONJ
esrj-66107	87	4	its	its	PRON
esrj-66107	87	5	co	co	ADJ
esrj-66107	87	6	-	-	ADJ
esrj-66107	87	7	occurrence	occurrence	ADJ
esrj-66107	87	8	regions	region	NOUN
esrj-66107	87	9	are	be	AUX
esrj-66107	87	10	equally	equally	ADV
esrj-66107	87	11	important	important	ADJ
esrj-66107	87	12	to	to	ADP
esrj-66107	87	13	interpreting	interpret	VERB
esrj-66107	87	14	,	,	PUNCT
esrj-66107	87	15	then	then	ADV
esrj-66107	87	16	and	and	CCONJ
esrj-66107	87	17	.	.	PUNCT
esrj-66107	88	1	where	where	SCONJ
esrj-66107	88	2	in	in	ADV
esrj-66107	88	3	,	,	PUNCT
esrj-66107	88	4	the	the	DET
esrj-66107	88	5	function	function	NOUN
esrj-66107	88	6	is	be	AUX
esrj-66107	88	7	element	element	ADJ
esrj-66107	88	8	data	datum	NOUN
esrj-66107	88	9	in	in	ADP
esrj-66107	88	10	the	the	DET
esrj-66107	88	11	set	set	NOUN
esrj-66107	88	12	.	.	PUNCT
esrj-66107	89	1	if	if	SCONJ
esrj-66107	89	2	all	all	DET
esrj-66107	89	3	co	co	ADJ
esrj-66107	89	4	-	-	ADJ
esrj-66107	89	5	occurrence	occurrence	ADJ
esrj-66107	89	6	regions	region	NOUN
esrj-66107	89	7	are	be	AUX
esrj-66107	89	8	taken	take	VERB
esrj-66107	89	9	into	into	ADP
esrj-66107	89	10	account	account	NOUN
esrj-66107	89	11	,	,	PUNCT
esrj-66107	89	12	the	the	DET
esrj-66107	89	13	following	follow	VERB
esrj-66107	89	14	formula	formula	NOUN
esrj-66107	89	15	is	be	AUX
esrj-66107	89	16	valid	valid	ADJ
esrj-66107	89	17	:	:	PUNCT
esrj-66107	89	18	formula	formula	NOUN
esrj-66107	89	19	(	(	PUNCT
esrj-66107	89	20	6	6	NUM
esrj-66107	89	21	)	)	PUNCT
esrj-66107	89	22	prevents	prevent	VERB
esrj-66107	89	23	the	the	DET
esrj-66107	89	24	bias	bias	NOUN
esrj-66107	89	25	toward	toward	ADP
esrj-66107	89	26	regions	region	NOUN
esrj-66107	89	27	with	with	ADP
esrj-66107	89	28	more	more	ADJ
esrj-66107	89	29	co	co	ADJ
esrj-66107	89	30	-	-	ADJ
esrj-66107	89	31	occurrence	occurrence	ADJ
esrj-66107	89	32	regions	region	NOUN
esrj-66107	89	33	when	when	SCONJ
esrj-66107	89	34	calculating	calculate	VERB
esrj-66107	89	35	.	.	PUNCT
esrj-66107	90	1	based	base	VERB
esrj-66107	90	2	on	on	ADP
esrj-66107	90	3	formula	formula	NOUN
esrj-66107	90	4	(	(	PUNCT
esrj-66107	90	5	5	5	NUM
esrj-66107	90	6	)	)	PUNCT
esrj-66107	90	7	and	and	CCONJ
esrj-66107	90	8	the	the	DET
esrj-66107	90	9	calculation	calculation	NOUN
esrj-66107	90	10	formula	formula	NOUN
esrj-66107	90	11	of	of	ADP
esrj-66107	90	12	,	,	PUNCT
esrj-66107	90	13	formula	formula	NOUN
esrj-66107	90	14	(	(	PUNCT
esrj-66107	90	15	4	4	X
esrj-66107	90	16	)	)	PUNCT
esrj-66107	90	17	can	can	AUX
esrj-66107	90	18	be	be	AUX
esrj-66107	90	19	simplified	simplify	VERB
esrj-66107	90	20	as	as	ADP
esrj-66107	90	21	:	:	PUNCT
esrj-66107	90	22	2.3.2	2.3.2	NUM
esrj-66107	90	23	code	code	NOUN
esrj-66107	90	24	co	co	NOUN
esrj-66107	90	25	-	-	NOUN
esrj-66107	90	26	occurrence	occurrence	ADJ
esrj-66107	90	27	matrix	matrix	NOUN
esrj-66107	90	28	the	the	DET
esrj-66107	90	29	codes	code	NOUN
esrj-66107	90	30	are	be	AUX
esrj-66107	90	31	defined	define	VERB
esrj-66107	90	32	to	to	PART
esrj-66107	90	33	describe	describe	VERB
esrj-66107	90	34	the	the	DET
esrj-66107	90	35	importance	importance	NOUN
esrj-66107	90	36	and	and	CCONJ
esrj-66107	90	37	generate	generate	VERB
esrj-66107	90	38	code	code	NOUN
esrj-66107	90	39	cooccurrence	cooccurrence	NOUN
esrj-66107	90	40	matrix	matrix	NOUN
esrj-66107	90	41	to	to	PART
esrj-66107	90	42	simplify	simplify	VERB
esrj-66107	90	43	the	the	DET
esrj-66107	90	44	calculation	calculation	NOUN
esrj-66107	90	45	of	of	ADP
esrj-66107	90	46	,	,	PUNCT
esrj-66107	90	47	the	the	DET
esrj-66107	90	48	correlation	correlation	NOUN
esrj-66107	90	49	between	between	ADP
esrj-66107	90	50	and	and	CCONJ
esrj-66107	90	51	is	be	AUX
esrj-66107	90	52	reflected	reflect	VERB
esrj-66107	90	53	by	by	ADP
esrj-66107	90	54	the	the	DET
esrj-66107	90	55	code	code	NOUN
esrj-66107	90	56	triad	triad	NOUN
esrj-66107	90	57	importance	importance	NOUN
esrj-66107	90	58	function	function	NOUN
esrj-66107	90	59	.	.	PUNCT
esrj-66107	91	1	it	it	PRON
esrj-66107	91	2	is	be	AUX
esrj-66107	91	3	possible	possible	ADJ
esrj-66107	91	4	to	to	PART
esrj-66107	91	5	determine	determine	VERB
esrj-66107	91	6	the	the	DET
esrj-66107	91	7	importance	importance	NOUN
esrj-66107	91	8	of	of	ADP
esrj-66107	91	9	the	the	DET
esrj-66107	91	10	code	code	NOUN
esrj-66107	91	11	triad	triad	VERB
esrj-66107	91	12	to	to	ADP
esrj-66107	91	13	by	by	ADP
esrj-66107	91	14	virtue	virtue	NOUN
esrj-66107	91	15	of	of	ADP
esrj-66107	91	16	prior	prior	ADJ
esrj-66107	91	17	probability	probability	NOUN
esrj-66107	91	18	of	of	ADP
esrj-66107	91	19	.	.	PUNCT
esrj-66107	92	1	the	the	DET
esrj-66107	92	2	calculation	calculation	NOUN
esrj-66107	92	3	formula	formula	NOUN
esrj-66107	92	4	is	be	AUX
esrj-66107	92	5	as	as	SCONJ
esrj-66107	92	6	follows	follow	VERB
esrj-66107	92	7	:	:	PUNCT
esrj-66107	92	8	(	(	PUNCT
esrj-66107	92	9	8)	8)	NUM
esrj-66107	92	10	wherein	wherein	NOUN
esrj-66107	92	11	,	,	PUNCT
esrj-66107	92	12	u	u	NOUN
esrj-66107	92	13	,	,	PUNCT
esrj-66107	92	14	v	v	NOUN
esrj-66107	92	15	and	and	CCONJ
esrj-66107	92	16	w	w	PROPN
esrj-66107	92	17	are	be	AUX
esrj-66107	92	18	codes	code	NOUN
esrj-66107	92	19	that	that	PRON
esrj-66107	92	20	jointly	jointly	ADV
esrj-66107	92	21	constitute	constitute	VERB
esrj-66107	92	22	code	code	NOUN
esrj-66107	92	23	cooccurrence	cooccurrence	NOUN
esrj-66107	92	24	matrix	matrix	NOUN
esrj-66107	92	25	mk	mk	PROPN
esrj-66107	92	26	.	.	PUNCT
esrj-66107	93	1	assuming	assume	VERB
esrj-66107	93	2	that	that	SCONJ
esrj-66107	93	3	the	the	DET
esrj-66107	93	4	prior	prior	ADJ
esrj-66107	93	5	probability	probability	NOUN
esrj-66107	93	6	follows	follow	VERB
esrj-66107	93	7	a	a	DET
esrj-66107	93	8	uniform	uniform	ADJ
esrj-66107	93	9	distribution	distribution	NOUN
esrj-66107	93	10	,	,	PUNCT
esrj-66107	93	11	formula	formula	NOUN
esrj-66107	93	12	(	(	PUNCT
esrj-66107	93	13	7	7	X
esrj-66107	93	14	)	)	PUNCT
esrj-66107	93	15	can	can	AUX
esrj-66107	93	16	be	be	AUX
esrj-66107	93	17	simplified	simplify	VERB
esrj-66107	93	18	as	as	ADP
esrj-66107	93	19	:	:	PUNCT
esrj-66107	93	20	(	(	PUNCT
esrj-66107	93	21	4	4	X
esrj-66107	93	22	)	)	PUNCT
esrj-66107	93	23	32	32	NUM
esrj-66107	93	24	rui	rui	PROPN
esrj-66107	93	25	zeng	zeng	PROPN
esrj-66107	93	26	,	,	PUNCT
esrj-66107	93	27	yingyan	yingyan	PROPN
esrj-66107	93	28	wang	wang	PROPN
esrj-66107	93	29	,	,	PUNCT
esrj-66107	93	30	wanliang	wanliang	PROPN
esrj-66107	93	31	wang	wang	PROPN
esrj-66107	93	32	2.3.3	2.3.3	NUM
esrj-66107	93	33	semantic	semantic	ADJ
esrj-66107	93	34	score	score	NOUN
esrj-66107	93	35	function	function	NOUN
esrj-66107	93	36	semantic	semantic	ADJ
esrj-66107	93	37	scores	score	NOUN
esrj-66107	93	38	can	can	AUX
esrj-66107	93	39	be	be	AUX
esrj-66107	93	40	divided	divide	VERB
esrj-66107	93	41	into	into	ADP
esrj-66107	93	42	region	region	NOUN
esrj-66107	93	43	semantic	semantic	ADJ
esrj-66107	93	44	scores	score	NOUN
esrj-66107	93	45	and	and	CCONJ
esrj-66107	93	46	semantic	semantic	ADJ
esrj-66107	93	47	image	image	NOUN
esrj-66107	93	48	scores	score	NOUN
esrj-66107	93	49	.	.	PUNCT
esrj-66107	94	1	region	region	NOUN
esrj-66107	94	2	semantic	semantic	ADJ
esrj-66107	94	3	score	score	NOUN
esrj-66107	94	4	function	function	NOUN
esrj-66107	94	5	is	be	AUX
esrj-66107	94	6	used	use	VERB
esrj-66107	94	7	to	to	PART
esrj-66107	94	8	calculate	calculate	VERB
esrj-66107	94	9	the	the	DET
esrj-66107	94	10	correlation	correlation	NOUN
esrj-66107	94	11	between	between	ADP
esrj-66107	94	12	and	and	CCONJ
esrj-66107	94	13	:	:	PUNCT
esrj-66107	94	14	(	(	PUNCT
esrj-66107	94	15	9	9	X
esrj-66107	94	16	)	)	PUNCT
esrj-66107	94	17	(	(	PUNCT
esrj-66107	94	18	10	10	NUM
esrj-66107	94	19	)	)	PUNCT
esrj-66107	94	20	(	(	PUNCT
esrj-66107	94	21	12	12	NUM
esrj-66107	94	22	)	)	PUNCT
esrj-66107	94	23	(	(	PUNCT
esrj-66107	94	24	13	13	NUM
esrj-66107	94	25	)	)	PUNCT
esrj-66107	94	26	(	(	PUNCT
esrj-66107	94	27	14	14	NUM
esrj-66107	94	28	)	)	PUNCT
esrj-66107	94	29	(	(	PUNCT
esrj-66107	94	30	15	15	NUM
esrj-66107	94	31	)	)	PUNCT
esrj-66107	94	32	(	(	PUNCT
esrj-66107	94	33	17	17	NUM
esrj-66107	94	34	)	)	PUNCT
esrj-66107	94	35	(	(	PUNCT
esrj-66107	94	36	18	18	NUM
esrj-66107	94	37	)	)	PUNCT
esrj-66107	94	38	(	(	PUNCT
esrj-66107	94	39	19	19	NUM
esrj-66107	94	40	)	)	PUNCT
esrj-66107	94	41	(	(	PUNCT
esrj-66107	94	42	16	16	NUM
esrj-66107	94	43	)	)	PUNCT
esrj-66107	94	44	(	(	PUNCT
esrj-66107	94	45	11	11	NUM
esrj-66107	94	46	)	)	PUNCT
esrj-66107	94	47	the	the	DET
esrj-66107	94	48	normalization	normalization	NOUN
esrj-66107	94	49	coefficient	coefficient	NOUN
esrj-66107	94	50	prevents	prevent	VERB
esrj-66107	94	51	bias	bias	NOUN
esrj-66107	94	52	of	of	ADP
esrj-66107	94	53	semantic	semantic	ADJ
esrj-66107	94	54	scores	score	NOUN
esrj-66107	94	55	toward	toward	ADP
esrj-66107	94	56	regions	region	NOUN
esrj-66107	94	57	with	with	ADP
esrj-66107	94	58	more	more	ADJ
esrj-66107	94	59	co	co	ADJ
esrj-66107	94	60	-	-	ADJ
esrj-66107	94	61	occurrence	occurrence	ADJ
esrj-66107	94	62	regions	region	NOUN
esrj-66107	94	63	.	.	PUNCT
esrj-66107	95	1	according	accord	VERB
esrj-66107	95	2	to	to	ADP
esrj-66107	95	3	the	the	DET
esrj-66107	95	4	region	region	NOUN
esrj-66107	95	5	semantic	semantic	ADJ
esrj-66107	95	6	score	score	NOUN
esrj-66107	95	7	function	function	NOUN
esrj-66107	95	8	,	,	PUNCT
esrj-66107	95	9	the	the	DET
esrj-66107	95	10	image	image	NOUN
esrj-66107	95	11	semantic	semantic	ADJ
esrj-66107	95	12	score	score	NOUN
esrj-66107	95	13	function	function	NOUN
esrj-66107	95	14	can	can	AUX
esrj-66107	95	15	be	be	AUX
esrj-66107	95	16	defined	define	VERB
esrj-66107	95	17	as	as	ADP
esrj-66107	95	18	:	:	PUNCT
esrj-66107	95	19	the	the	DET
esrj-66107	95	20	image	image	NOUN
esrj-66107	95	21	semantic	semantic	ADJ
esrj-66107	95	22	score	score	NOUN
esrj-66107	95	23	function	function	NOUN
esrj-66107	95	24	is	be	AUX
esrj-66107	95	25	used	use	VERB
esrj-66107	95	26	to	to	PART
esrj-66107	95	27	measure	measure	VERB
esrj-66107	95	28	the	the	DET
esrj-66107	95	29	correlation	correlation	NOUN
esrj-66107	95	30	between	between	ADP
esrj-66107	95	31	it	it	PRON
esrj-66107	95	32	and	and	CCONJ
esrj-66107	95	33	.	.	PUNCT
esrj-66107	96	1	if	if	SCONJ
esrj-66107	96	2	is	be	AUX
esrj-66107	96	3	greater	great	ADJ
esrj-66107	96	4	than	than	ADP
esrj-66107	96	5	the	the	DET
esrj-66107	96	6	predefined	predefine	VERB
esrj-66107	96	7	thresholds	threshold	NOUN
esrj-66107	96	8	,	,	PUNCT
esrj-66107	96	9	it	it	PRON
esrj-66107	96	10	is	be	AUX
esrj-66107	96	11	deemed	deem	VERB
esrj-66107	96	12	to	to	PART
esrj-66107	96	13	contain	contain	VERB
esrj-66107	96	14	the	the	DET
esrj-66107	96	15	semantic	semantic	ADJ
esrj-66107	96	16	concept	concept	NOUN
esrj-66107	96	17	at	at	ADP
esrj-66107	96	18	least	least	ADJ
esrj-66107	96	19	.	.	PUNCT
esrj-66107	97	1	according	accord	VERB
esrj-66107	97	2	to	to	ADP
esrj-66107	97	3	formula	formula	NOUN
esrj-66107	97	4	(	(	PUNCT
esrj-66107	97	5	9	9	NUM
esrj-66107	97	6	)	)	PUNCT
esrj-66107	97	7	and	and	CCONJ
esrj-66107	97	8	formula	formula	NOUN
esrj-66107	97	9	(	(	PUNCT
esrj-66107	97	10	11	11	NUM
esrj-66107	97	11	)	)	PUNCT
esrj-66107	97	12	,	,	PUNCT
esrj-66107	97	13	it	it	PRON
esrj-66107	97	14	should	should	AUX
esrj-66107	97	15	be	be	AUX
esrj-66107	97	16	noted	note	VERB
esrj-66107	97	17	that	that	SCONJ
esrj-66107	97	18	this	this	PRON
esrj-66107	97	19	is	be	AUX
esrj-66107	97	20	a	a	DET
esrj-66107	97	21	special	special	ADJ
esrj-66107	97	22	form	form	NOUN
esrj-66107	97	23	of	of	ADP
esrj-66107	97	24	formula	formula	NOUN
esrj-66107	97	25	(	(	PUNCT
esrj-66107	97	26	3	3	NUM
esrj-66107	97	27	)	)	PUNCT
esrj-66107	97	28	,	,	PUNCT
esrj-66107	97	29	which	which	PRON
esrj-66107	97	30	indicates	indicate	VERB
esrj-66107	97	31	that	that	SCONJ
esrj-66107	97	32	the	the	DET
esrj-66107	97	33	image	image	NOUN
esrj-66107	97	34	semantic	semantic	ADJ
esrj-66107	97	35	score	score	NOUN
esrj-66107	97	36	function	function	NOUN
esrj-66107	97	37	is	be	AUX
esrj-66107	97	38	consistent	consistent	ADJ
esrj-66107	97	39	with	with	ADP
esrj-66107	97	40	cooccurrence	cooccurrence	NOUN
esrj-66107	97	41	region	region	NOUN
esrj-66107	97	42	based	base	VERB
esrj-66107	97	43	bayesian	bayesian	NOUN
esrj-66107	97	44	networks	network	NOUN
esrj-66107	97	45	.	.	PUNCT
esrj-66107	98	1	2.3.4	2.3.4	NUM
esrj-66107	98	2	learning	learn	VERB
esrj-66107	98	3	with	with	ADP
esrj-66107	98	4	bayesian	bayesian	NOUN
esrj-66107	98	5	networks	network	NOUN
esrj-66107	98	6	the	the	DET
esrj-66107	98	7	prior	prior	ADJ
esrj-66107	98	8	probability	probability	NOUN
esrj-66107	98	9	can	can	AUX
esrj-66107	98	10	be	be	AUX
esrj-66107	98	11	obtained	obtain	VERB
esrj-66107	98	12	from	from	ADP
esrj-66107	98	13	a	a	DET
esrj-66107	98	14	group	group	NOUN
esrj-66107	98	15	of	of	ADP
esrj-66107	98	16	training	training	NOUN
esrj-66107	98	17	samples	sample	NOUN
esrj-66107	98	18	that	that	PRON
esrj-66107	98	19	reflect	reflect	VERB
esrj-66107	98	20	semantic	semantic	ADJ
esrj-66107	98	21	concept	concept	NOUN
esrj-66107	98	22	and	and	CCONJ
esrj-66107	98	23	consist	consist	VERB
esrj-66107	98	24	of	of	ADP
esrj-66107	98	25	and	and	CCONJ
esrj-66107	98	26	its	its	PRON
esrj-66107	98	27	cooccurrence	cooccurrence	NOUN
esrj-66107	98	28	regions	region	NOUN
esrj-66107	98	29	to	to	PART
esrj-66107	98	30	calculate	calculate	VERB
esrj-66107	98	31	the	the	DET
esrj-66107	98	32	semantic	semantic	ADJ
esrj-66107	98	33	score	score	NOUN
esrj-66107	98	34	of	of	ADP
esrj-66107	98	35	images	image	NOUN
esrj-66107	98	36	.	.	PUNCT
esrj-66107	99	1	the	the	DET
esrj-66107	99	2	probability	probability	NOUN
esrj-66107	99	3	of	of	ADP
esrj-66107	99	4	the	the	DET
esrj-66107	99	5	code	code	NOUN
esrj-66107	99	6	triad	triad	NOUN
esrj-66107	99	7	can	can	AUX
esrj-66107	99	8	be	be	AUX
esrj-66107	99	9	calculated	calculate	VERB
esrj-66107	99	10	through	through	ADP
esrj-66107	99	11	formula	formula	NOUN
esrj-66107	99	12	(	(	PUNCT
esrj-66107	99	13	13	13	NUM
esrj-66107	99	14	):	):	PUNCT
esrj-66107	99	15	since	since	ADV
esrj-66107	99	16	and	and	CCONJ
esrj-66107	99	17	may	may	AUX
esrj-66107	99	18	not	not	PART
esrj-66107	99	19	belong	belong	VERB
esrj-66107	99	20	to	to	ADP
esrj-66107	99	21	tk	tk	PROPN
esrj-66107	99	22	,	,	PUNCT
esrj-66107	99	23	the	the	DET
esrj-66107	99	24	choice	choice	NOUN
esrj-66107	99	25	function	function	NOUN
esrj-66107	99	26	ε	ε	PROPN
esrj-66107	99	27	is	be	AUX
esrj-66107	99	28	defined	define	VERB
esrj-66107	99	29	as	as	ADP
esrj-66107	99	30	:	:	PUNCT
esrj-66107	99	31	the	the	DET
esrj-66107	99	32	prior	prior	ADJ
esrj-66107	99	33	probability	probability	NOUN
esrj-66107	99	34	can	can	AUX
esrj-66107	99	35	be	be	AUX
esrj-66107	99	36	approximately	approximately	ADV
esrj-66107	99	37	calculated	calculate	VERB
esrj-66107	99	38	through	through	ADP
esrj-66107	99	39	formula	formula	NOUN
esrj-66107	99	40	(	(	PUNCT
esrj-66107	99	41	15	15	NUM
esrj-66107	99	42	):	):	PUNCT
esrj-66107	99	43	if	if	SCONJ
esrj-66107	99	44	users	user	NOUN
esrj-66107	99	45	submit	submit	VERB
esrj-66107	99	46	a	a	DET
esrj-66107	99	47	new	new	ADJ
esrj-66107	99	48	training	training	NOUN
esrj-66107	99	49	sample	sample	NOUN
esrj-66107	99	50	and	and	CCONJ
esrj-66107	99	51	merge	merge	VERB
esrj-66107	99	52	it	it	PRON
esrj-66107	99	53	with	with	ADP
esrj-66107	99	54	the	the	DET
esrj-66107	99	55	original	original	ADJ
esrj-66107	99	56	training	training	NOUN
esrj-66107	99	57	sample	sample	NOUN
esrj-66107	99	58	tk	tk	PROPN
esrj-66107	99	59	,	,	PUNCT
esrj-66107	99	60	the	the	DET
esrj-66107	99	61	prior	prior	ADJ
esrj-66107	99	62	probability	probability	NOUN
esrj-66107	99	63	shall	shall	AUX
esrj-66107	99	64	be	be	AUX
esrj-66107	99	65	recalculated	recalculate	VERB
esrj-66107	99	66	through	through	ADP
esrj-66107	99	67	formula	formula	NOUN
esrj-66107	99	68	(	(	PUNCT
esrj-66107	99	69	16	16	NUM
esrj-66107	99	70	):	):	PUNCT
esrj-66107	99	71	if	if	SCONJ
esrj-66107	99	72	there	there	PRON
esrj-66107	99	73	are	be	VERB
esrj-66107	99	74	intersections	intersection	NOUN
esrj-66107	99	75	between	between	ADP
esrj-66107	99	76	the	the	DET
esrj-66107	99	77	new	new	ADJ
esrj-66107	99	78	training	training	NOUN
esrj-66107	99	79	sample	sample	NOUN
esrj-66107	99	80	and	and	CCONJ
esrj-66107	99	81	the	the	DET
esrj-66107	99	82	original	original	ADJ
esrj-66107	99	83	training	training	NOUN
esrj-66107	99	84	sample	sample	NOUN
esrj-66107	99	85	,	,	PUNCT
esrj-66107	99	86	the	the	DET
esrj-66107	99	87	calculation	calculation	NOUN
esrj-66107	99	88	formula	formula	NOUN
esrj-66107	99	89	of	of	ADP
esrj-66107	99	90	the	the	DET
esrj-66107	99	91	prior	prior	ADJ
esrj-66107	99	92	probability	probability	NOUN
esrj-66107	99	93	is	be	AUX
esrj-66107	99	94	.	.	PUNCT
esrj-66107	100	1	2.4	2.4	NUM
esrj-66107	100	2	stepwise	stepwise	ADJ
esrj-66107	100	3	remote	remote	ADJ
esrj-66107	100	4	sensing	sense	VERB
esrj-66107	100	5	image	image	NOUN
esrj-66107	100	6	retrieval	retrieval	NOUN
esrj-66107	100	7	traditional	traditional	ADJ
esrj-66107	100	8	content	content	NOUN
esrj-66107	100	9	-	-	PUNCT
esrj-66107	100	10	based	base	VERB
esrj-66107	100	11	remote	remote	ADJ
esrj-66107	100	12	sensing	sense	VERB
esrj-66107	100	13	image	image	NOUN
esrj-66107	100	14	retrieval	retrieval	NOUN
esrj-66107	100	15	systems	system	NOUN
esrj-66107	100	16	tend	tend	VERB
esrj-66107	100	17	to	to	PART
esrj-66107	100	18	calculate	calculate	VERB
esrj-66107	100	19	the	the	DET
esrj-66107	100	20	distance	distance	NOUN
esrj-66107	100	21	between	between	ADP
esrj-66107	100	22	low	low	ADJ
esrj-66107	100	23	-	-	PUNCT
esrj-66107	100	24	level	level	NOUN
esrj-66107	100	25	feature	feature	NOUN
esrj-66107	100	26	vectors	vector	NOUN
esrj-66107	100	27	.	.	PUNCT
esrj-66107	101	1	due	due	ADP
esrj-66107	101	2	to	to	ADP
esrj-66107	101	3	semantic	semantic	ADJ
esrj-66107	101	4	gaps	gap	NOUN
esrj-66107	101	5	,	,	PUNCT
esrj-66107	101	6	however	however	ADV
esrj-66107	101	7	,	,	PUNCT
esrj-66107	101	8	images	image	NOUN
esrj-66107	101	9	with	with	ADP
esrj-66107	101	10	similar	similar	ADJ
esrj-66107	101	11	features	feature	NOUN
esrj-66107	101	12	and	and	CCONJ
esrj-66107	101	13	irrelevant	irrelevant	ADJ
esrj-66107	101	14	semantics	semantic	NOUN
esrj-66107	101	15	are	be	AUX
esrj-66107	101	16	always	always	ADV
esrj-66107	101	17	retrieved	retrieve	VERB
esrj-66107	101	18	(	(	PUNCT
esrj-66107	101	19	ali	ali	PROPN
esrj-66107	101	20	et	et	PROPN
esrj-66107	101	21	al	al	PROPN
esrj-66107	101	22	.	.	PROPN
esrj-66107	101	23	,	,	PUNCT
esrj-66107	101	24	2017	2017	NUM
esrj-66107	101	25	)	)	PUNCT
esrj-66107	101	26	.	.	PUNCT
esrj-66107	102	1	in	in	ADP
esrj-66107	102	2	the	the	DET
esrj-66107	102	3	process	process	NOUN
esrj-66107	102	4	of	of	ADP
esrj-66107	102	5	image	image	NOUN
esrj-66107	102	6	retrieval	retrieval	NOUN
esrj-66107	102	7	,	,	PUNCT
esrj-66107	102	8	time	time	NOUN
esrj-66107	102	9	efficiency	efficiency	NOUN
esrj-66107	102	10	is	be	AUX
esrj-66107	102	11	also	also	ADV
esrj-66107	102	12	a	a	DET
esrj-66107	102	13	key	key	ADJ
esrj-66107	102	14	factor	factor	NOUN
esrj-66107	102	15	that	that	PRON
esrj-66107	102	16	determines	determine	VERB
esrj-66107	102	17	the	the	DET
esrj-66107	102	18	performance	performance	NOUN
esrj-66107	102	19	of	of	ADP
esrj-66107	102	20	the	the	DET
esrj-66107	102	21	retrieval	retrieval	NOUN
esrj-66107	102	22	system	system	NOUN
esrj-66107	102	23	.	.	PUNCT
esrj-66107	103	1	users	user	NOUN
esrj-66107	103	2	require	require	VERB
esrj-66107	103	3	not	not	PART
esrj-66107	103	4	only	only	ADV
esrj-66107	103	5	high	high	ADJ
esrj-66107	103	6	precision	precision	NOUN
esrj-66107	103	7	and	and	CCONJ
esrj-66107	103	8	recall	recall	NOUN
esrj-66107	103	9	but	but	CCONJ
esrj-66107	103	10	also	also	ADV
esrj-66107	103	11	demand	demand	VERB
esrj-66107	103	12	high	high	ADJ
esrj-66107	103	13	time	time	NOUN
esrj-66107	103	14	efficiency	efficiency	NOUN
esrj-66107	103	15	.	.	PUNCT
esrj-66107	104	1	2.4.1	2.4.1	NUM
esrj-66107	104	2	integrated	integrated	ADJ
esrj-66107	104	3	region	region	NOUN
esrj-66107	104	4	matching	match	VERB
esrj-66107	104	5	integrated	integrate	VERB
esrj-66107	104	6	region	region	NOUN
esrj-66107	104	7	matching	matching	NOUN
esrj-66107	104	8	(	(	PUNCT
esrj-66107	104	9	irm	irm	PROPN
esrj-66107	104	10	)	)	PUNCT
esrj-66107	104	11	,	,	PUNCT
esrj-66107	104	12	which	which	PRON
esrj-66107	104	13	has	have	VERB
esrj-66107	104	14	the	the	DET
esrj-66107	104	15	strong	strong	ADJ
esrj-66107	104	16	robustness	robustness	NOUN
esrj-66107	104	17	to	to	ADP
esrj-66107	104	18	possible	possible	ADJ
esrj-66107	104	19	segmentation	segmentation	NOUN
esrj-66107	104	20	errors	error	NOUN
esrj-66107	104	21	,	,	PUNCT
esrj-66107	104	22	determines	determine	VERB
esrj-66107	104	23	the	the	DET
esrj-66107	104	24	overall	overall	ADJ
esrj-66107	104	25	similarity	similarity	NOUN
esrj-66107	104	26	of	of	ADP
esrj-66107	104	27	images	image	NOUN
esrj-66107	104	28	by	by	ADP
esrj-66107	104	29	comprehensively	comprehensively	ADV
esrj-66107	104	30	calculating	calculate	VERB
esrj-66107	104	31	the	the	DET
esrj-66107	104	32	similarity	similarity	NOUN
esrj-66107	104	33	of	of	ADP
esrj-66107	104	34	all	all	DET
esrj-66107	104	35	image	image	NOUN
esrj-66107	104	36	regions	region	NOUN
esrj-66107	104	37	.	.	PUNCT
esrj-66107	105	1	mathematically	mathematically	ADV
esrj-66107	105	2	speaking	speak	VERB
esrj-66107	105	3	,	,	PUNCT
esrj-66107	105	4	image	image	NOUN
esrj-66107	105	5	similarity	similarity	NOUN
esrj-66107	105	6	can	can	AUX
esrj-66107	105	7	be	be	AUX
esrj-66107	105	8	determined	determine	VERB
esrj-66107	105	9	by	by	ADP
esrj-66107	105	10	calculating	calculate	VERB
esrj-66107	105	11	the	the	DET
esrj-66107	105	12	distance	distance	NOUN
esrj-66107	105	13	between	between	ADP
esrj-66107	105	14	two	two	NUM
esrj-66107	105	15	point	point	NOUN
esrj-66107	105	16	sets	set	NOUN
esrj-66107	105	17	in	in	ADP
esrj-66107	105	18	high	high	ADJ
esrj-66107	105	19	-	-	PUNCT
esrj-66107	105	20	dimension	dimension	NOUN
esrj-66107	105	21	space	space	NOUN
esrj-66107	105	22	(	(	PUNCT
esrj-66107	105	23	feature	feature	NOUN
esrj-66107	105	24	space	space	NOUN
esrj-66107	105	25	)	)	PUNCT
esrj-66107	105	26	.	.	PUNCT
esrj-66107	106	1	although	although	SCONJ
esrj-66107	106	2	there	there	PRON
esrj-66107	106	3	are	be	VERB
esrj-66107	106	4	many	many	ADJ
esrj-66107	106	5	methods	method	NOUN
esrj-66107	106	6	of	of	ADP
esrj-66107	106	7	calculating	calculate	VERB
esrj-66107	106	8	the	the	DET
esrj-66107	106	9	distance	distance	NOUN
esrj-66107	106	10	,	,	PUNCT
esrj-66107	106	11	such	such	ADJ
esrj-66107	106	12	as	as	ADP
esrj-66107	106	13	euclidean	euclidean	ADJ
esrj-66107	106	14	distance	distance	NOUN
esrj-66107	106	15	,	,	PUNCT
esrj-66107	106	16	between	between	ADP
esrj-66107	106	17	points	point	NOUN
esrj-66107	106	18	in	in	ADP
esrj-66107	106	19	high	high	ADJ
esrj-66107	106	20	-	-	PUNCT
esrj-66107	106	21	dimension	dimension	NOUN
esrj-66107	106	22	space	space	NOUN
esrj-66107	106	23	,	,	PUNCT
esrj-66107	106	24	they	they	PRON
esrj-66107	106	25	can	can	AUX
esrj-66107	106	26	not	not	PART
esrj-66107	106	27	be	be	AUX
esrj-66107	106	28	used	use	VERB
esrj-66107	106	29	to	to	PART
esrj-66107	106	30	calculate	calculate	VERB
esrj-66107	106	31	the	the	DET
esrj-66107	106	32	distance	distance	NOUN
esrj-66107	106	33	between	between	ADP
esrj-66107	106	34	two	two	NUM
esrj-66107	106	35	point	point	NOUN
esrj-66107	106	36	sets	set	NOUN
esrj-66107	106	37	.	.	PUNCT
esrj-66107	107	1	the	the	DET
esrj-66107	107	2	biggest	big	ADJ
esrj-66107	107	3	problem	problem	NOUN
esrj-66107	107	4	of	of	ADP
esrj-66107	107	5	defining	define	VERB
esrj-66107	107	6	the	the	DET
esrj-66107	107	7	distance	distance	NOUN
esrj-66107	107	8	between	between	ADP
esrj-66107	107	9	two	two	NUM
esrj-66107	107	10	point	point	NOUN
esrj-66107	107	11	sets	set	NOUN
esrj-66107	107	12	in	in	ADP
esrj-66107	107	13	feature	feature	NOUN
esrj-66107	107	14	space	space	NOUN
esrj-66107	107	15	is	be	AUX
esrj-66107	107	16	to	to	PART
esrj-66107	107	17	maximize	maximize	VERB
esrj-66107	107	18	the	the	DET
esrj-66107	107	19	difference	difference	NOUN
esrj-66107	107	20	between	between	ADP
esrj-66107	107	21	overall	overall	ADJ
esrj-66107	107	22	similarity	similarity	NOUN
esrj-66107	107	23	and	and	CCONJ
esrj-66107	107	24	people	people	NOUN
esrj-66107	107	25	’s	’s	PART
esrj-66107	107	26	subjective	subjective	ADJ
esrj-66107	107	27	feelings	feeling	NOUN
esrj-66107	107	28	of	of	ADP
esrj-66107	107	29	image	image	NOUN
esrj-66107	107	30	similarity	similarity	NOUN
esrj-66107	107	31	.	.	PUNCT
esrj-66107	108	1	by	by	ADP
esrj-66107	108	2	comprehensively	comprehensively	ADV
esrj-66107	108	3	considering	consider	VERB
esrj-66107	108	4	significance	significance	NOUN
esrj-66107	108	5	and	and	CCONJ
esrj-66107	108	6	distance	distance	NOUN
esrj-66107	108	7	between	between	ADP
esrj-66107	108	8	image	image	NOUN
esrj-66107	108	9	regions	region	NOUN
esrj-66107	108	10	,	,	PUNCT
esrj-66107	108	11	integrated	integrate	VERB
esrj-66107	108	12	region	region	NOUN
esrj-66107	108	13	matching	matching	NOUN
esrj-66107	108	14	allows	allow	VERB
esrj-66107	108	15	one	one	NUM
esrj-66107	108	16	region	region	NOUN
esrj-66107	108	17	to	to	PART
esrj-66107	108	18	match	match	VERB
esrj-66107	108	19	multiple	multiple	ADJ
esrj-66107	108	20	regions	region	NOUN
esrj-66107	108	21	,	,	PUNCT
esrj-66107	108	22	thereby	thereby	ADV
esrj-66107	108	23	minimizing	minimize	VERB
esrj-66107	108	24	retrieval	retrieval	NOUN
esrj-66107	108	25	errors	error	NOUN
esrj-66107	108	26	caused	cause	VERB
esrj-66107	108	27	by	by	ADP
esrj-66107	108	28	inaccurate	inaccurate	ADJ
esrj-66107	108	29	image	image	NOUN
esrj-66107	108	30	segmentation	segmentation	NOUN
esrj-66107	108	31	(	(	PUNCT
esrj-66107	108	32	yasin	yasin	PROPN
esrj-66107	108	33	et	et	PROPN
esrj-66107	108	34	al	al	PROPN
esrj-66107	108	35	.	.	PROPN
esrj-66107	108	36	,	,	PUNCT
esrj-66107	108	37	2017	2017	NUM
esrj-66107	108	38	)	)	PUNCT
esrj-66107	108	39	.	.	PUNCT
esrj-66107	109	1	according	accord	VERB
esrj-66107	109	2	to	to	ADP
esrj-66107	109	3	the	the	DET
esrj-66107	109	4	research	research	NOUN
esrj-66107	109	5	results	result	NOUN
esrj-66107	109	6	of	of	ADP
esrj-66107	109	7	wang	wang	PROPN
esrj-66107	109	8	et	et	PROPN
esrj-66107	109	9	al.(2016	al.(2016	PROPN
esrj-66107	109	10	)	)	PUNCT
esrj-66107	109	11	,	,	PUNCT
esrj-66107	109	12	the	the	DET
esrj-66107	109	13	algorithm	algorithm	NOUN
esrj-66107	109	14	is	be	AUX
esrj-66107	109	15	described	describe	VERB
esrj-66107	109	16	as	as	SCONJ
esrj-66107	109	17	follows	follow	VERB
esrj-66107	109	18	:	:	PUNCT
esrj-66107	109	19	image	image	NOUN
esrj-66107	109	20	1	1	NUM
esrj-66107	109	21	and	and	CCONJ
esrj-66107	109	22	image	image	NOUN
esrj-66107	109	23	2	2	NUM
esrj-66107	109	24	are	be	AUX
esrj-66107	109	25	represented	represent	VERB
esrj-66107	109	26	by	by	ADP
esrj-66107	109	27	and	and	CCONJ
esrj-66107	109	28	,	,	PUNCT
esrj-66107	109	29	and	and	CCONJ
esrj-66107	109	30	feature	feature	NOUN
esrj-66107	109	31	vectors	vector	NOUN
esrj-66107	109	32	of	of	ADP
esrj-66107	109	33	the	the	DET
esrj-66107	109	34	segmentation	segmentation	NOUN
esrj-66107	109	35	region	region	NOUN
esrj-66107	110	1	i	i	PRON
esrj-66107	110	2	and	and	CCONJ
esrj-66107	110	3	j	j	PROPN
esrj-66107	110	4	are	be	AUX
esrj-66107	110	5	represented	represent	VERB
esrj-66107	110	6	by	by	ADP
esrj-66107	110	7	and	and	CCONJ
esrj-66107	110	8	respectively	respectively	ADV
esrj-66107	110	9	.	.	PUNCT
esrj-66107	111	1	also	also	ADV
esrj-66107	111	2	,	,	PUNCT
esrj-66107	111	3	the	the	DET
esrj-66107	111	4	distance	distance	NOUN
esrj-66107	111	5	between	between	ADP
esrj-66107	111	6	and	and	CCONJ
esrj-66107	111	7	is	be	AUX
esrj-66107	111	8	.when	.when	ADP
esrj-66107	111	9	calculating	calculate	VERB
esrj-66107	111	10	the	the	DET
esrj-66107	111	11	distance	distance	NOUN
esrj-66107	111	12	between	between	ADP
esrj-66107	111	13	r1	r1	NOUN
esrj-66107	111	14	and	and	CCONJ
esrj-66107	111	15	r2	r2	PROPN
esrj-66107	111	16	,	,	PUNCT
esrj-66107	111	17	it	it	PRON
esrj-66107	111	18	is	be	AUX
esrj-66107	111	19	necessary	necessary	ADJ
esrj-66107	111	20	to	to	PART
esrj-66107	111	21	match	match	VERB
esrj-66107	111	22	all	all	DET
esrj-66107	111	23	regions	region	NOUN
esrj-66107	111	24	of	of	ADP
esrj-66107	111	25	the	the	DET
esrj-66107	111	26	two	two	NUM
esrj-66107	111	27	images	image	NOUN
esrj-66107	111	28	,	,	PUNCT
esrj-66107	111	29	calculate	calculate	VERB
esrj-66107	111	30	the	the	DET
esrj-66107	111	31	distance	distance	NOUN
esrj-66107	111	32	between	between	ADP
esrj-66107	111	33	all	all	DET
esrj-66107	111	34	regions	region	NOUN
esrj-66107	111	35	and	and	CCONJ
esrj-66107	111	36	give	give	VERB
esrj-66107	111	37	corresponding	correspond	VERB
esrj-66107	111	38	weights	weight	NOUN
esrj-66107	111	39	to	to	PART
esrj-66107	111	40	significance	significance	NOUN
esrj-66107	111	41	factors	factor	NOUN
esrj-66107	111	42	si	si	INTJ
esrj-66107	111	43	,	,	PUNCT
esrj-66107	111	44	j.	j.	PROPN
esrj-66107	111	45	since	since	SCONJ
esrj-66107	111	46	significance	significance	NOUN
esrj-66107	111	47	factor	factor	NOUN
esrj-66107	111	48	represents	represent	VERB
esrj-66107	111	49	the	the	DET
esrj-66107	111	50	matching	matching	NOUN
esrj-66107	111	51	degree	degree	NOUN
esrj-66107	111	52	between	between	ADP
esrj-66107	111	53	and	and	CCONJ
esrj-66107	111	54	,	,	PUNCT
esrj-66107	111	55	is	be	AUX
esrj-66107	111	56	referred	refer	VERB
esrj-66107	111	57	to	to	ADP
esrj-66107	111	58	as	as	ADP
esrj-66107	111	59	significance	significance	NOUN
esrj-66107	111	60	matrix	matrix	NOUN
esrj-66107	111	61	.	.	PUNCT
esrj-66107	112	1	the	the	DET
esrj-66107	112	2	significance	significance	NOUN
esrj-66107	112	3	matrix	matrix	NOUN
esrj-66107	112	4	s	s	NOUN
esrj-66107	112	5	of	of	ADP
esrj-66107	112	6	integrated	integrate	VERB
esrj-66107	112	7	region	region	NOUN
esrj-66107	112	8	matching	matching	NOUN
esrj-66107	112	9	is	be	AUX
esrj-66107	112	10	determined	determine	VERB
esrj-66107	112	11	by	by	ADP
esrj-66107	112	12	significance	significance	NOUN
esrj-66107	112	13	factors	factor	NOUN
esrj-66107	112	14	si	si	PROPN
esrj-66107	112	15	,	,	PUNCT
esrj-66107	112	16	j	j	PROPN
esrj-66107	112	17	–	–	PUNCT
esrj-66107	112	18	the	the	DET
esrj-66107	112	19	area	area	NOUN
esrj-66107	112	20	ratio	ratio	NOUN
esrj-66107	112	21	between	between	ADP
esrj-66107	112	22	one	one	NUM
esrj-66107	112	23	region	region	NOUN
esrj-66107	112	24	and	and	CCONJ
esrj-66107	112	25	the	the	DET
esrj-66107	112	26	whole	whole	ADJ
esrj-66107	112	27	image	image	NOUN
esrj-66107	112	28	.	.	PUNCT
esrj-66107	113	1	assuming	assume	VERB
esrj-66107	113	2	that	that	SCONJ
esrj-66107	113	3	the	the	DET
esrj-66107	113	4	area	area	NOUN
esrj-66107	113	5	ratio	ratio	NOUN
esrj-66107	113	6	of	of	ADP
esrj-66107	113	7	in	in	ADP
esrj-66107	113	8	image	image	NOUN
esrj-66107	113	9	1	1	NUM
esrj-66107	113	10	and	and	CCONJ
esrj-66107	113	11	in	in	ADP
esrj-66107	113	12	image	image	NOUN
esrj-66107	113	13	2	2	NUM
esrj-66107	113	14	is	be	AUX
esrj-66107	113	15	and	and	CCONJ
esrj-66107	113	16	separately	separately	ADV
esrj-66107	113	17	,	,	PUNCT
esrj-66107	113	18	then	then	ADV
esrj-66107	113	19	under	under	ADP
esrj-66107	113	20	standard	standard	ADJ
esrj-66107	113	21	conditions	condition	NOUN
esrj-66107	113	22	,	,	PUNCT
esrj-66107	113	23	.	.	PUNCT
esrj-66107	114	1	a	a	DET
esrj-66107	114	2	reasonable	reasonable	ADJ
esrj-66107	114	3	matching	matching	NOUN
esrj-66107	114	4	mechanism	mechanism	NOUN
esrj-66107	114	5	is	be	AUX
esrj-66107	114	6	required	require	VERB
esrj-66107	114	7	to	to	PART
esrj-66107	114	8	involve	involve	VERB
esrj-66107	114	9	all	all	DET
esrj-66107	114	10	image	image	NOUN
esrj-66107	114	11	regions	region	NOUN
esrj-66107	114	12	and	and	CCONJ
esrj-66107	114	13	give	give	VERB
esrj-66107	114	14	priority	priority	NOUN
esrj-66107	114	15	to	to	ADP
esrj-66107	114	16	the	the	DET
esrj-66107	114	17	matching	matching	NOUN
esrj-66107	114	18	of	of	ADP
esrj-66107	114	19	the	the	DET
esrj-66107	114	20	most	most	ADV
esrj-66107	114	21	similar	similar	ADJ
esrj-66107	114	22	regions	region	NOUN
esrj-66107	114	23	.	.	PUNCT
esrj-66107	115	1	under	under	ADP
esrj-66107	115	2	this	this	DET
esrj-66107	115	3	matching	matching	NOUN
esrj-66107	115	4	mechanism	mechanism	NOUN
esrj-66107	115	5	,	,	PUNCT
esrj-66107	115	6	regions	region	NOUN
esrj-66107	115	7	in	in	ADP
esrj-66107	115	8	image	image	NOUN
esrj-66107	115	9	1	1	NUM
esrj-66107	115	10	will	will	AUX
esrj-66107	115	11	only	only	ADV
esrj-66107	115	12	match	match	VERB
esrj-66107	115	13	with	with	ADP
esrj-66107	115	14	similar	similar	ADJ
esrj-66107	115	15	regions	region	NOUN
esrj-66107	115	16	in	in	ADP
esrj-66107	115	17	image	image	NOUN
esrj-66107	115	18	2	2	NUM
esrj-66107	115	19	.	.	PUNCT
esrj-66107	116	1	in	in	ADP
esrj-66107	116	2	other	other	ADJ
esrj-66107	116	3	words	word	NOUN
esrj-66107	116	4	,	,	PUNCT
esrj-66107	116	5	the	the	DET
esrj-66107	116	6	distance	distance	NOUN
esrj-66107	116	7	between	between	ADP
esrj-66107	116	8	the	the	DET
esrj-66107	116	9	two	two	NUM
esrj-66107	116	10	images	image	NOUN
esrj-66107	116	11	is	be	AUX
esrj-66107	116	12	0	0	NUM
esrj-66107	116	13	.	.	PUNCT
esrj-66107	117	1	by	by	ADP
esrj-66107	117	2	distributing	distribute	VERB
esrj-66107	117	3	significance	significance	NOUN
esrj-66107	117	4	factors	factor	NOUN
esrj-66107	117	5	,	,	PUNCT
esrj-66107	117	6	integrated	integrated	ADJ
esrj-66107	117	7	region	region	NOUN
esrj-66107	117	8	matching	matching	NOUN
esrj-66107	117	9	connects	connect	VERB
esrj-66107	117	10	the	the	DET
esrj-66107	117	11	most	most	ADV
esrj-66107	117	12	similar	similar	ADJ
esrj-66107	117	13	regions	region	NOUN
esrj-66107	117	14	in	in	ADP
esrj-66107	117	15	two	two	NUM
esrj-66107	117	16	images	image	NOUN
esrj-66107	117	17	with	with	ADP
esrj-66107	117	18	the	the	DET
esrj-66107	117	19	shortest	short	ADJ
esrj-66107	117	20	distance	distance	NOUN
esrj-66107	117	21	,	,	PUNCT
esrj-66107	117	22	which	which	PRON
esrj-66107	117	23	is	be	AUX
esrj-66107	117	24	referred	refer	VERB
esrj-66107	117	25	to	to	ADP
esrj-66107	117	26	as	as	ADP
esrj-66107	117	27	the	the	DET
esrj-66107	117	28	most	most	ADV
esrj-66107	117	29	similar	similar	ADJ
esrj-66107	117	30	highest	high	ADJ
esrj-66107	117	31	priority	priority	NOUN
esrj-66107	117	32	(	(	PUNCT
esrj-66107	117	33	mshp	mshp	NOUN
esrj-66107	117	34	)	)	PUNCT
esrj-66107	117	35	.	.	PUNCT
esrj-66107	118	1	it	it	PRON
esrj-66107	118	2	is	be	AUX
esrj-66107	118	3	assumed	assume	VERB
esrj-66107	118	4	that	that	SCONJ
esrj-66107	118	5	d(i’,j	d(i’,j	NOUN
esrj-66107	118	6	’	'	PUNCT
esrj-66107	118	7	)	)	PUNCT
esrj-66107	118	8	is	be	AUX
esrj-66107	118	9	the	the	DET
esrj-66107	118	10	minimum	minimum	ADJ
esrj-66107	118	11	distance	distance	NOUN
esrj-66107	118	12	,	,	PUNCT
esrj-66107	118	13	and	and	CCONJ
esrj-66107	118	14	to	to	PART
esrj-66107	118	15	obtain	obtain	VERB
esrj-66107	118	16	significance	significance	NOUN
esrj-66107	118	17	matrix	matrix	NOUN
esrj-66107	118	18	with	with	ADP
esrj-66107	118	19	an	an	DET
esrj-66107	118	20	iterative	iterative	NOUN
esrj-66107	118	21	method	method	NOUN
esrj-66107	118	22	.	.	PUNCT
esrj-66107	119	1	when	when	SCONJ
esrj-66107	119	2	,	,	PUNCT
esrj-66107	119	3	i	i	PRON
esrj-66107	119	4	’	'	PUNCT
esrj-66107	119	5	and	and	CCONJ
esrj-66107	119	6	j	j	PROPN
esrj-66107	119	7	’	'	PUNCT
esrj-66107	119	8	,	,	PUNCT
esrj-66107	119	9	which	which	PRON
esrj-66107	119	10	are	be	AUX
esrj-66107	119	11	regions	region	NOUN
esrj-66107	119	12	with	with	ADP
esrj-66107	119	13	the	the	DET
esrj-66107	119	14	minimum	minimum	ADJ
esrj-66107	119	15	matching	matching	NOUN
esrj-66107	119	16	distance	distance	NOUN
esrj-66107	119	17	,	,	PUNCT
esrj-66107	119	18	are	be	AUX
esrj-66107	119	19	successfully	successfully	ADV
esrj-66107	119	20	matched	match	VERB
esrj-66107	119	21	together	together	ADV
esrj-66107	119	22	by	by	ADP
esrj-66107	119	23	significance	significance	NOUN
esrj-66107	119	24	factors	factor	NOUN
esrj-66107	119	25	of	of	ADP
esrj-66107	119	26	i	i	PRON
esrj-66107	119	27	’	'	PUNCT
esrj-66107	119	28	.	.	PUNCT
esrj-66107	120	1	the	the	DET
esrj-66107	120	2	significance	significance	NOUN
esrj-66107	120	3	factor	factor	NOUN
esrj-66107	120	4	of	of	ADP
esrj-66107	120	5	j	j	PROPN
esrj-66107	120	6	’	'	PUNCT
esrj-66107	120	7	is	be	AUX
esrj-66107	120	8	calculated	calculate	VERB
esrj-66107	120	9	through	through	ADP
esrj-66107	120	10	.	.	PUNCT
esrj-66107	121	1	according	accord	VERB
esrj-66107	121	2	to	to	ADP
esrj-66107	121	3	mshp	mshp	NOUN
esrj-66107	121	4	,	,	PUNCT
esrj-66107	121	5	the	the	DET
esrj-66107	121	6	matching	matching	NOUN
esrj-66107	121	7	problem	problem	NOUN
esrj-66107	121	8	of	of	ADP
esrj-66107	121	9	can	can	AUX
esrj-66107	121	10	be	be	AUX
esrj-66107	121	11	solved	solve	VERB
esrj-66107	121	12	when	when	SCONJ
esrj-66107	121	13	the	the	DET
esrj-66107	121	14	following	follow	VERB
esrj-66107	121	15	four	four	NUM
esrj-66107	121	16	formula	formula	NOUN
esrj-66107	121	17	requirements	requirement	NOUN
esrj-66107	121	18	are	be	AUX
esrj-66107	121	19	met	meet	VERB
esrj-66107	121	20	.	.	PUNCT
esrj-66107	122	1	33a	33a	NUM
esrj-66107	122	2	co	co	ADJ
esrj-66107	122	3	-	-	NOUN
esrj-66107	122	4	occurrence	occurrence	ADJ
esrj-66107	122	5	region	region	NOUN
esrj-66107	122	6	based	base	VERB
esrj-66107	122	7	bayesian	bayesian	NOUN
esrj-66107	122	8	network	network	NOUN
esrj-66107	122	9	stepwise	stepwise	NOUN
esrj-66107	122	10	remote	remote	ADJ
esrj-66107	122	11	sensing	sense	VERB
esrj-66107	122	12	image	image	NOUN
esrj-66107	122	13	retrieval	retrieval	NOUN
esrj-66107	122	14	algorithm	algorithm	NOUN
esrj-66107	122	15	(	(	PUNCT
esrj-66107	122	16	20	20	NUM
esrj-66107	122	17	)	)	PUNCT
esrj-66107	122	18	(	(	PUNCT
esrj-66107	122	19	21	21	NUM
esrj-66107	122	20	)	)	PUNCT
esrj-66107	122	21	(	(	PUNCT
esrj-66107	122	22	22	22	NUM
esrj-66107	122	23	)	)	PUNCT
esrj-66107	122	24	(	(	PUNCT
esrj-66107	122	25	23	23	NUM
esrj-66107	122	26	)	)	PUNCT
esrj-66107	122	27	(	(	PUNCT
esrj-66107	122	28	24	24	NUM
esrj-66107	122	29	)	)	PUNCT
esrj-66107	122	30	(	(	PUNCT
esrj-66107	122	31	25	25	NUM
esrj-66107	122	32	)	)	PUNCT
esrj-66107	122	33	the	the	DET
esrj-66107	122	34	iteration	iteration	NOUN
esrj-66107	122	35	stops	stop	VERB
esrj-66107	122	36	when	when	SCONJ
esrj-66107	122	37	all	all	DET
esrj-66107	122	38	significant	significant	ADJ
esrj-66107	122	39	factors	factor	NOUN
esrj-66107	122	40	are	be	AUX
esrj-66107	122	41	calculated	calculate	VERB
esrj-66107	122	42	.	.	PUNCT
esrj-66107	123	1	by	by	ADP
esrj-66107	123	2	co	co	NOUN
esrj-66107	123	3	-	-	NOUN
esrj-66107	123	4	occurrence	occurrence	ADJ
esrj-66107	123	5	region	region	NOUN
esrj-66107	123	6	based	base	VERB
esrj-66107	123	7	bayesian	bayesian	NOUN
esrj-66107	123	8	networks	network	NOUN
esrj-66107	123	9	,	,	PUNCT
esrj-66107	123	10	the	the	DET
esrj-66107	123	11	algorithm	algorithm	NOUN
esrj-66107	123	12	selects	select	VERB
esrj-66107	123	13	a	a	DET
esrj-66107	123	14	group	group	NOUN
esrj-66107	123	15	of	of	ADP
esrj-66107	123	16	candidate	candidate	NOUN
esrj-66107	123	17	images	image	NOUN
esrj-66107	123	18	that	that	PRON
esrj-66107	123	19	are	be	AUX
esrj-66107	123	20	highly	highly	ADV
esrj-66107	123	21	correlated	correlate	VERB
esrj-66107	123	22	with	with	ADP
esrj-66107	123	23	the	the	DET
esrj-66107	123	24	query	query	NOUN
esrj-66107	123	25	semantics	semantic	NOUN
esrj-66107	123	26	from	from	ADP
esrj-66107	123	27	large	large	ADJ
esrj-66107	123	28	-	-	PUNCT
esrj-66107	123	29	scale	scale	NOUN
esrj-66107	123	30	remote	remote	ADJ
esrj-66107	123	31	sensing	sense	VERB
esrj-66107	123	32	image	image	NOUN
esrj-66107	123	33	database	database	NOUN
esrj-66107	123	34	and	and	CCONJ
esrj-66107	123	35	adopts	adopt	VERB
esrj-66107	123	36	integrated	integrated	ADJ
esrj-66107	123	37	region	region	NOUN
esrj-66107	123	38	matching	match	VERB
esrj-66107	123	39	to	to	ADP
esrj-66107	123	40	reorder	reorder	NOUN
esrj-66107	123	41	candidate	candidate	NOUN
esrj-66107	123	42	images	image	NOUN
esrj-66107	123	43	and	and	CCONJ
esrj-66107	123	44	return	return	VERB
esrj-66107	123	45	top	top	ADJ
esrj-66107	123	46	ranking	ranking	NOUN
esrj-66107	123	47	images	image	NOUN
esrj-66107	123	48	,	,	PUNCT
esrj-66107	123	49	thereby	thereby	ADV
esrj-66107	123	50	realizing	realize	VERB
esrj-66107	123	51	rapid	rapid	ADJ
esrj-66107	123	52	image	image	NOUN
esrj-66107	123	53	retrieval	retrieval	NOUN
esrj-66107	123	54	.	.	PUNCT
esrj-66107	124	1	since	since	SCONJ
esrj-66107	124	2	co	co	NOUN
esrj-66107	124	3	-	-	NOUN
esrj-66107	124	4	occurrence	occurrence	ADJ
esrj-66107	124	5	region	region	NOUN
esrj-66107	124	6	based	base	VERB
esrj-66107	124	7	bayesian	bayesian	NOUN
esrj-66107	124	8	network	network	NOUN
esrj-66107	124	9	image	image	NOUN
esrj-66107	124	10	retrieval	retrieval	NOUN
esrj-66107	124	11	is	be	AUX
esrj-66107	124	12	characterized	characterize	VERB
esrj-66107	124	13	by	by	ADP
esrj-66107	124	14	low	low	ADJ
esrj-66107	124	15	time	time	NOUN
esrj-66107	124	16	complexity	complexity	NOUN
esrj-66107	124	17	,	,	PUNCT
esrj-66107	124	18	it	it	PRON
esrj-66107	124	19	can	can	AUX
esrj-66107	124	20	retrieve	retrieve	VERB
esrj-66107	124	21	a	a	DET
esrj-66107	124	22	group	group	NOUN
esrj-66107	124	23	of	of	ADP
esrj-66107	124	24	candidate	candidate	NOUN
esrj-66107	124	25	images	image	NOUN
esrj-66107	124	26	that	that	PRON
esrj-66107	124	27	are	be	AUX
esrj-66107	124	28	highly	highly	ADV
esrj-66107	124	29	correlated	correlate	VERB
esrj-66107	124	30	with	with	ADP
esrj-66107	124	31	the	the	DET
esrj-66107	124	32	query	query	NOUN
esrj-66107	124	33	semantics	semantic	NOUN
esrj-66107	124	34	within	within	ADP
esrj-66107	124	35	a	a	DET
esrj-66107	124	36	short	short	ADJ
esrj-66107	124	37	time	time	NOUN
esrj-66107	124	38	(	(	PUNCT
esrj-66107	124	39	shahzad	shahzad	PROPN
esrj-66107	124	40	et	et	PROPN
esrj-66107	124	41	al	al	PROPN
esrj-66107	124	42	.	.	PROPN
esrj-66107	124	43	,	,	PUNCT
esrj-66107	124	44	2017	2017	NUM
esrj-66107	124	45	;	;	PUNCT
esrj-66107	124	46	basarian	basarian	PROPN
esrj-66107	124	47	and	and	CCONJ
esrj-66107	124	48	tahir	tahir	PROPN
esrj-66107	124	49	,	,	PUNCT
esrj-66107	124	50	2017	2017	NUM
esrj-66107	124	51	)	)	PUNCT
esrj-66107	124	52	.	.	PUNCT
esrj-66107	125	1	integrated	integrate	VERB
esrj-66107	125	2	region	region	NOUN
esrj-66107	125	3	matching	matching	NOUN
esrj-66107	125	4	has	have	VERB
esrj-66107	125	5	high	high	ADJ
esrj-66107	125	6	time	time	NOUN
esrj-66107	125	7	complexity	complexity	NOUN
esrj-66107	125	8	.	.	PUNCT
esrj-66107	126	1	in	in	ADP
esrj-66107	126	2	comparison	comparison	NOUN
esrj-66107	126	3	with	with	ADP
esrj-66107	126	4	the	the	DET
esrj-66107	126	5	entire	entire	ADJ
esrj-66107	126	6	database	database	NOUN
esrj-66107	126	7	,	,	PUNCT
esrj-66107	126	8	candidate	candidate	NOUN
esrj-66107	126	9	images	image	NOUN
esrj-66107	126	10	are	be	AUX
esrj-66107	126	11	small	small	ADJ
esrj-66107	126	12	in	in	ADP
esrj-66107	126	13	quantities	quantity	NOUN
esrj-66107	126	14	,	,	PUNCT
esrj-66107	126	15	which	which	PRON
esrj-66107	126	16	effectively	effectively	ADV
esrj-66107	126	17	reduce	reduce	VERB
esrj-66107	126	18	image	image	NOUN
esrj-66107	126	19	retrieval	retrieval	NOUN
esrj-66107	126	20	time	time	NOUN
esrj-66107	126	21	.	.	PUNCT
esrj-66107	127	1	flowchart	flowchart	NOUN
esrj-66107	127	2	of	of	ADP
esrj-66107	127	3	the	the	DET
esrj-66107	127	4	whole	whole	ADJ
esrj-66107	127	5	process	process	NOUN
esrj-66107	127	6	is	be	AUX
esrj-66107	127	7	shown	show	VERB
esrj-66107	127	8	in	in	ADP
esrj-66107	127	9	figure	figure	NOUN
esrj-66107	127	10	3	3	NUM
esrj-66107	127	11	.	.	PUNCT
esrj-66107	127	12	figure	figure	NOUN
esrj-66107	127	13	3	3	NUM
esrj-66107	127	14	.	.	PUNCT
esrj-66107	128	1	a	a	DET
esrj-66107	128	2	flowchart	flowchart	NOUN
esrj-66107	128	3	of	of	ADP
esrj-66107	128	4	stepwise	stepwise	PROPN
esrj-66107	128	5	region	region	PROPN
esrj-66107	128	6	retrieval	retrieval	PROPN
esrj-66107	128	7	stepwise	stepwise	PROPN
esrj-66107	128	8	region	region	PROPN
esrj-66107	128	9	retrieval	retrieval	NOUN
esrj-66107	128	10	is	be	AUX
esrj-66107	128	11	mathematically	mathematically	ADV
esrj-66107	128	12	described	describe	VERB
esrj-66107	128	13	as	as	SCONJ
esrj-66107	128	14	follows	follow	VERB
esrj-66107	128	15	:	:	PUNCT
esrj-66107	128	16	step	step	NOUN
esrj-66107	128	17	1	1	NUM
esrj-66107	128	18	:	:	PUNCT
esrj-66107	128	19	select	select	VERB
esrj-66107	128	20	a	a	DET
esrj-66107	128	21	group	group	NOUN
esrj-66107	128	22	of	of	ADP
esrj-66107	128	23	candidate	candidate	NOUN
esrj-66107	128	24	images	image	NOUN
esrj-66107	128	25	that	that	PRON
esrj-66107	128	26	are	be	AUX
esrj-66107	128	27	highly	highly	ADV
esrj-66107	128	28	correlated	correlate	VERB
esrj-66107	128	29	with	with	ADP
esrj-66107	128	30	the	the	DET
esrj-66107	128	31	query	query	NOUN
esrj-66107	128	32	semantics	semantic	NOUN
esrj-66107	128	33	.	.	PUNCT
esrj-66107	129	1	there	there	PRON
esrj-66107	129	2	are	be	VERB
esrj-66107	129	3	two	two	NUM
esrj-66107	129	4	alternatives	alternative	NOUN
esrj-66107	129	5	:	:	PUNCT
esrj-66107	129	6	(	(	PUNCT
esrj-66107	129	7	1	1	X
esrj-66107	129	8	)	)	PUNCT
esrj-66107	129	9	users	user	NOUN
esrj-66107	129	10	choose	choose	VERB
esrj-66107	129	11	candidate	candidate	NOUN
esrj-66107	129	12	images	image	NOUN
esrj-66107	129	13	by	by	ADP
esrj-66107	129	14	searching	search	VERB
esrj-66107	129	15	images	image	NOUN
esrj-66107	129	16	by	by	ADP
esrj-66107	129	17	the	the	DET
esrj-66107	129	18	image	image	NOUN
esrj-66107	129	19	semantic	semantic	ADJ
esrj-66107	129	20	score	score	NOUN
esrj-66107	129	21	function	function	NOUN
esrj-66107	129	22	trained	train	VERB
esrj-66107	129	23	from	from	ADP
esrj-66107	129	24	co	co	ADJ
esrj-66107	129	25	-	-	NOUN
esrj-66107	129	26	occurrence	occurrence	ADJ
esrj-66107	129	27	region	region	NOUN
esrj-66107	129	28	based	base	VERB
esrj-66107	129	29	bayesian	bayesian	NOUN
esrj-66107	129	30	networks	network	NOUN
esrj-66107	129	31	.	.	PUNCT
esrj-66107	130	1	let	let	AUX
esrj-66107	130	2	be	be	AUX
esrj-66107	130	3	the	the	DET
esrj-66107	130	4	query	query	NOUN
esrj-66107	130	5	image	image	NOUN
esrj-66107	130	6	and	and	CCONJ
esrj-66107	130	7	be	be	AUX
esrj-66107	130	8	the	the	DET
esrj-66107	130	9	threshold	threshold	NOUN
esrj-66107	130	10	of	of	ADP
esrj-66107	130	11	semantic	semantic	ADJ
esrj-66107	130	12	image	image	NOUN
esrj-66107	130	13	score	score	NOUN
esrj-66107	130	14	;	;	PUNCT
esrj-66107	130	15	then	then	ADV
esrj-66107	130	16	the	the	DET
esrj-66107	130	17	candidate	candidate	NOUN
esrj-66107	130	18	images	image	NOUN
esrj-66107	130	19	can	can	AUX
esrj-66107	130	20	be	be	AUX
esrj-66107	130	21	expressed	express	VERB
esrj-66107	130	22	as	as	ADP
esrj-66107	130	23	:	:	PUNCT
esrj-66107	130	24	(	(	PUNCT
esrj-66107	130	25	2	2	X
esrj-66107	130	26	)	)	PUNCT
esrj-66107	130	27	users	user	NOUN
esrj-66107	130	28	select	select	ADJ
esrj-66107	130	29	candidate	candidate	NOUN
esrj-66107	130	30	images	image	NOUN
esrj-66107	130	31	by	by	ADP
esrj-66107	130	32	searching	search	VERB
esrj-66107	130	33	semantic	semantic	ADJ
esrj-66107	130	34	information	information	NOUN
esrj-66107	130	35	of	of	ADP
esrj-66107	130	36	pictures	picture	NOUN
esrj-66107	130	37	by	by	ADP
esrj-66107	130	38	semantic	semantic	ADJ
esrj-66107	130	39	score	score	NOUN
esrj-66107	130	40	function	function	NOUN
esrj-66107	130	41	.	.	PUNCT
esrj-66107	131	1	assuming	assume	VERB
esrj-66107	131	2	that	that	PRON
esrj-66107	131	3	has	have	VERB
esrj-66107	131	4	two	two	NUM
esrj-66107	131	5	semantic	semantic	ADJ
esrj-66107	131	6	meanings	meaning	NOUN
esrj-66107	131	7	,	,	PUNCT
esrj-66107	131	8	and	and	CCONJ
esrj-66107	131	9	are	be	AUX
esrj-66107	131	10	the	the	DET
esrj-66107	131	11	two	two	NUM
esrj-66107	131	12	semantic	semantic	ADJ
esrj-66107	131	13	score	score	NOUN
esrj-66107	131	14	functions	function	NOUN
esrj-66107	131	15	,	,	PUNCT
esrj-66107	131	16	and	and	CCONJ
esrj-66107	131	17	and	and	CCONJ
esrj-66107	131	18	are	be	AUX
esrj-66107	131	19	thresholds	threshold	NOUN
esrj-66107	131	20	of	of	ADP
esrj-66107	131	21	the	the	DET
esrj-66107	131	22	two	two	NUM
esrj-66107	131	23	functions	function	NOUN
esrj-66107	131	24	,	,	PUNCT
esrj-66107	131	25	then	then	ADV
esrj-66107	131	26	the	the	DET
esrj-66107	131	27	candidate	candidate	NOUN
esrj-66107	131	28	images	image	NOUN
esrj-66107	131	29	selected	select	VERB
esrj-66107	131	30	can	can	AUX
esrj-66107	131	31	be	be	AUX
esrj-66107	131	32	expressed	express	VERB
esrj-66107	131	33	as	as	ADP
esrj-66107	131	34	:	:	PUNCT
esrj-66107	131	35	under	under	ADP
esrj-66107	131	36	normal	normal	ADJ
esrj-66107	131	37	circumstances	circumstance	NOUN
esrj-66107	131	38	,	,	PUNCT
esrj-66107	131	39	the	the	DET
esrj-66107	131	40	threshold	threshold	NOUN
esrj-66107	131	41	shall	shall	AUX
esrj-66107	131	42	be	be	AUX
esrj-66107	131	43	set	set	VERB
esrj-66107	131	44	to	to	ADP
esrj-66107	131	45	0	0	NUM
esrj-66107	131	46	,	,	PUNCT
esrj-66107	131	47	to	to	PART
esrj-66107	131	48	ensure	ensure	VERB
esrj-66107	131	49	the	the	DET
esrj-66107	131	50	precision	precision	NOUN
esrj-66107	131	51	of	of	ADP
esrj-66107	131	52	image	image	NOUN
esrj-66107	131	53	retrieval	retrieval	NOUN
esrj-66107	131	54	.	.	PUNCT
esrj-66107	132	1	step	step	NOUN
esrj-66107	132	2	2	2	NUM
esrj-66107	132	3	:	:	PUNCT
esrj-66107	132	4	adopt	adopt	VERB
esrj-66107	132	5	integrated	integrated	ADJ
esrj-66107	132	6	region	region	NOUN
esrj-66107	132	7	matching	matching	NOUN
esrj-66107	132	8	and	and	CCONJ
esrj-66107	132	9	query	query	NOUN
esrj-66107	132	10	to	to	PART
esrj-66107	132	11	reorder	reorder	VERB
esrj-66107	132	12	the	the	DET
esrj-66107	132	13	candidate	candidate	NOUN
esrj-66107	132	14	image	image	NOUN
esrj-66107	132	15	gallery	gallery	PROPN
esrj-66107	132	16	a	a	NOUN
esrj-66107	132	17	,	,	PUNCT
esrj-66107	132	18	return	return	VERB
esrj-66107	132	19	top	top	ADJ
esrj-66107	132	20	ranking	ranking	NOUN
esrj-66107	132	21	images	image	NOUN
esrj-66107	132	22	and	and	CCONJ
esrj-66107	132	23	finish	finish	VERB
esrj-66107	132	24	the	the	DET
esrj-66107	132	25	search	search	NOUN
esrj-66107	132	26	.	.	PUNCT
esrj-66107	133	1	the	the	PRON
esrj-66107	133	2	more	more	ADV
esrj-66107	133	3	the	the	DET
esrj-66107	133	4	returned	return	VERB
esrj-66107	133	5	images	image	NOUN
esrj-66107	133	6	are	be	AUX
esrj-66107	133	7	similar	similar	ADJ
esrj-66107	133	8	to	to	ADP
esrj-66107	133	9	the	the	DET
esrj-66107	133	10	query	query	NOUN
esrj-66107	133	11	images	image	NOUN
esrj-66107	133	12	in	in	ADP
esrj-66107	133	13	spectral	spectral	ADJ
esrj-66107	133	14	and	and	CCONJ
esrj-66107	133	15	texture	texture	ADJ
esrj-66107	133	16	features	feature	NOUN
esrj-66107	133	17	,	,	PUNCT
esrj-66107	133	18	the	the	DET
esrj-66107	133	19	more	more	ADV
esrj-66107	133	20	top	top	ADV
esrj-66107	133	21	-	-	PUNCT
esrj-66107	133	22	ranked	rank	VERB
esrj-66107	133	23	the	the	DET
esrj-66107	133	24	images	image	NOUN
esrj-66107	133	25	will	will	AUX
esrj-66107	133	26	be	be	AUX
esrj-66107	133	27	.	.	PUNCT
esrj-66107	134	1	3	3	X
esrj-66107	134	2	.	.	X
esrj-66107	134	3	results	result	VERB
esrj-66107	134	4	this	this	DET
esrj-66107	134	5	experiment	experiment	NOUN
esrj-66107	134	6	involves	involve	VERB
esrj-66107	134	7	a	a	DET
esrj-66107	134	8	total	total	NOUN
esrj-66107	134	9	of	of	ADP
esrj-66107	134	10	28	28	NUM
esrj-66107	134	11	multi	multi	ADJ
esrj-66107	134	12	-	-	ADJ
esrj-66107	134	13	spectral	spectral	ADJ
esrj-66107	134	14	remote	remote	ADJ
esrj-66107	134	15	sensing	sensing	NOUN
esrj-66107	134	16	images	image	NOUN
esrj-66107	134	17	photographed	photograph	VERB
esrj-66107	134	18	by	by	ADP
esrj-66107	134	19	ikonos	ikono	NOUN
esrj-66107	134	20	and	and	CCONJ
esrj-66107	134	21	synthesizes	synthesize	VERB
esrj-66107	134	22	standard	standard	ADJ
esrj-66107	134	23	true	true	ADJ
esrj-66107	134	24	-	-	PUNCT
esrj-66107	134	25	color	color	NOUN
esrj-66107	134	26	images	image	NOUN
esrj-66107	134	27	with	with	ADP
esrj-66107	134	28	blue	blue	ADJ
esrj-66107	134	29	,	,	PUNCT
esrj-66107	134	30	green	green	ADJ
esrj-66107	134	31	and	and	CCONJ
esrj-66107	134	32	red	red	ADJ
esrj-66107	134	33	wave	wave	NOUN
esrj-66107	134	34	bands	band	NOUN
esrj-66107	134	35	.	.	PUNCT
esrj-66107	135	1	each	each	DET
esrj-66107	135	2	image	image	NOUN
esrj-66107	135	3	is	be	AUX
esrj-66107	135	4	segmented	segment	VERB
esrj-66107	135	5	into	into	ADP
esrj-66107	135	6	256x256	256x256	PROPN
esrj-66107	135	7	sub	sub	NOUN
esrj-66107	135	8	-	-	NOUN
esrj-66107	135	9	images	image	NOUN
esrj-66107	135	10	,	,	PUNCT
esrj-66107	135	11	and	and	CCONJ
esrj-66107	135	12	the	the	DET
esrj-66107	135	13	maximum	maximum	ADJ
esrj-66107	135	14	repeatability	repeatability	NOUN
esrj-66107	135	15	between	between	ADP
esrj-66107	135	16	two	two	NUM
esrj-66107	135	17	subimages	subimage	NOUN
esrj-66107	135	18	is	be	AUX
esrj-66107	135	19	50	50	NUM
esrj-66107	135	20	%	%	NOUN
esrj-66107	135	21	.	.	PUNCT
esrj-66107	136	1	after	after	ADP
esrj-66107	136	2	deleting	delete	VERB
esrj-66107	136	3	unqualified	unqualified	ADJ
esrj-66107	136	4	images	image	NOUN
esrj-66107	136	5	,	,	PUNCT
esrj-66107	136	6	the	the	DET
esrj-66107	136	7	database	database	NOUN
esrj-66107	136	8	has	have	VERB
esrj-66107	136	9	a	a	DET
esrj-66107	136	10	total	total	NOUN
esrj-66107	136	11	of	of	ADP
esrj-66107	136	12	12,000	12,000	NUM
esrj-66107	136	13	sub	sub	NOUN
esrj-66107	136	14	-	-	NOUN
esrj-66107	136	15	images	image	NOUN
esrj-66107	136	16	,	,	PUNCT
esrj-66107	136	17	covering	cover	VERB
esrj-66107	136	18	nearly	nearly	ADV
esrj-66107	136	19	40,000km2	40,000km2	NUM
esrj-66107	136	20	earth	earth	NOUN
esrj-66107	136	21	surfaces.images	surfaces.image	NOUN
esrj-66107	136	22	in	in	ADP
esrj-66107	136	23	the	the	DET
esrj-66107	136	24	database	database	NOUN
esrj-66107	136	25	are	be	AUX
esrj-66107	136	26	classified	classify	VERB
esrj-66107	136	27	into	into	ADP
esrj-66107	136	28	six	six	NUM
esrj-66107	136	29	categories	category	NOUN
esrj-66107	136	30	following	follow	VERB
esrj-66107	136	31	semantic	semantic	ADJ
esrj-66107	136	32	meanings	meaning	NOUN
esrj-66107	136	33	:	:	PUNCT
esrj-66107	136	34	farmland	farmland	NOUN
esrj-66107	136	35	(	(	PUNCT
esrj-66107	136	36	644	644	NUM
esrj-66107	136	37	)	)	PUNCT
esrj-66107	136	38	,	,	PUNCT
esrj-66107	136	39	city	city	NOUN
esrj-66107	136	40	(	(	PUNCT
esrj-66107	136	41	3,547	3,547	NUM
esrj-66107	136	42	)	)	PUNCT
esrj-66107	136	43	,	,	PUNCT
esrj-66107	136	44	water	water	NOUN
esrj-66107	136	45	body	body	NOUN
esrj-66107	136	46	(	(	PUNCT
esrj-66107	136	47	3,243	3,243	NUM
esrj-66107	136	48	)	)	PUNCT
esrj-66107	136	49	,	,	PUNCT
esrj-66107	136	50	vegetation	vegetation	NOUN
esrj-66107	136	51	(	(	PUNCT
esrj-66107	136	52	2,937	2,937	NUM
esrj-66107	136	53	)	)	PUNCT
esrj-66107	136	54	,	,	PUNCT
esrj-66107	136	55	bare	bare	ADJ
esrj-66107	136	56	earth	earth	NOUN
esrj-66107	136	57	(	(	PUNCT
esrj-66107	136	58	1,033	1,033	NUM
esrj-66107	136	59	)	)	PUNCT
esrj-66107	136	60	and	and	CCONJ
esrj-66107	136	61	rock	rock	NOUN
esrj-66107	136	62	(	(	PUNCT
esrj-66107	136	63	1,730	1,730	NUM
esrj-66107	136	64	)	)	PUNCT
esrj-66107	136	65	.	.	PUNCT
esrj-66107	137	1	wherein	wherein	PROPN
esrj-66107	137	2	,	,	PUNCT
esrj-66107	137	3	the	the	DET
esrj-66107	137	4	figures	figure	NOUN
esrj-66107	137	5	in	in	ADP
esrj-66107	137	6	brackets	bracket	NOUN
esrj-66107	137	7	represent	represent	VERB
esrj-66107	137	8	numbers	number	NOUN
esrj-66107	137	9	of	of	ADP
esrj-66107	137	10	images	image	NOUN
esrj-66107	137	11	related	relate	VERB
esrj-66107	137	12	to	to	ADP
esrj-66107	137	13	corresponding	correspond	VERB
esrj-66107	137	14	semantic	semantic	ADJ
esrj-66107	137	15	concepts	concept	NOUN
esrj-66107	137	16	,	,	PUNCT
esrj-66107	137	17	and	and	CCONJ
esrj-66107	137	18	one	one	NUM
esrj-66107	137	19	image	image	NOUN
esrj-66107	137	20	may	may	AUX
esrj-66107	137	21	be	be	AUX
esrj-66107	137	22	correlated	correlate	VERB
esrj-66107	137	23	with	with	ADP
esrj-66107	137	24	multiple	multiple	ADJ
esrj-66107	137	25	semantic	semantic	ADJ
esrj-66107	137	26	concepts	concept	NOUN
esrj-66107	137	27	.	.	PUNCT
esrj-66107	138	1	this	this	DET
esrj-66107	138	2	paper	paper	NOUN
esrj-66107	138	3	measures	measure	NOUN
esrj-66107	138	4	performance	performance	NOUN
esrj-66107	138	5	of	of	ADP
esrj-66107	138	6	the	the	DET
esrj-66107	138	7	retrieval	retrieval	NOUN
esrj-66107	138	8	system	system	NOUN
esrj-66107	138	9	with	with	ADP
esrj-66107	138	10	precision	precision	NOUN
esrj-66107	138	11	and	and	CCONJ
esrj-66107	138	12	recall	recall	NOUN
esrj-66107	138	13	.	.	PUNCT
esrj-66107	139	1	in	in	ADP
esrj-66107	139	2	the	the	DET
esrj-66107	139	3	experiment	experiment	NOUN
esrj-66107	139	4	,	,	PUNCT
esrj-66107	139	5	the	the	DET
esrj-66107	139	6	author	author	NOUN
esrj-66107	139	7	segments	segment	VERB
esrj-66107	139	8	images	image	NOUN
esrj-66107	139	9	into	into	ADP
esrj-66107	139	10	32x32	32x32	NUM
esrj-66107	139	11	subimages	subimage	NOUN
esrj-66107	139	12	extracts	extract	NOUN
esrj-66107	139	13	color	color	NOUN
esrj-66107	139	14	histograms	histogram	NOUN
esrj-66107	139	15	of	of	ADP
esrj-66107	139	16	regions	region	NOUN
esrj-66107	139	17	with	with	ADP
esrj-66107	139	18	spectral	spectral	ADJ
esrj-66107	139	19	features	feature	NOUN
esrj-66107	139	20	and	and	CCONJ
esrj-66107	139	21	employs	employ	VERB
esrj-66107	139	22	the	the	DET
esrj-66107	139	23	k	k	ADJ
esrj-66107	139	24	-	-	PUNCT
esrj-66107	139	25	means	means	NOUN
esrj-66107	139	26	algorithm	algorithm	NOUN
esrj-66107	139	27	for	for	ADP
esrj-66107	139	28	image	image	NOUN
esrj-66107	139	29	clustering	clustering	NOUN
esrj-66107	139	30	.	.	PUNCT
esrj-66107	140	1	when	when	SCONJ
esrj-66107	140	2	generating	generate	VERB
esrj-66107	140	3	encoded	encode	VERB
esrj-66107	140	4	image	image	NOUN
esrj-66107	140	5	library	library	NOUN
esrj-66107	140	6	,	,	PUNCT
esrj-66107	140	7	the	the	DET
esrj-66107	140	8	color	color	NOUN
esrj-66107	140	9	feature	feature	NOUN
esrj-66107	140	10	vectors	vector	NOUN
esrj-66107	140	11	are	be	AUX
esrj-66107	140	12	classified	classify	VERB
esrj-66107	140	13	into	into	ADP
esrj-66107	140	14	tree	tree	NOUN
esrj-66107	140	15	codes	code	NOUN
esrj-66107	140	16	by	by	ADP
esrj-66107	140	17	the	the	DET
esrj-66107	140	18	k	k	PROPN
esrj-66107	140	19	-	-	PUNCT
esrj-66107	140	20	means	means	NOUN
esrj-66107	140	21	algorithm	algorithm	NOUN
esrj-66107	140	22	,	,	PUNCT
esrj-66107	140	23	thereby	thereby	ADV
esrj-66107	140	24	generating	generate	VERB
esrj-66107	140	25	codebooks	codebook	NOUN
esrj-66107	140	26	(	(	PUNCT
esrj-66107	140	27	hussin	hussin	NOUN
esrj-66107	140	28	et	et	PROPN
esrj-66107	140	29	al	al	PROPN
esrj-66107	140	30	.	.	PROPN
esrj-66107	140	31	,	,	PUNCT
esrj-66107	140	32	2017	2017	NUM
esrj-66107	140	33	)	)	PUNCT
esrj-66107	140	34	.	.	PUNCT
esrj-66107	141	1	each	each	DET
esrj-66107	141	2	image	image	NOUN
esrj-66107	141	3	area	area	NOUN
esrj-66107	141	4	is	be	AUX
esrj-66107	141	5	encoded	encode	VERB
esrj-66107	141	6	into	into	ADP
esrj-66107	141	7	corresponding	corresponding	ADJ
esrj-66107	141	8	codes	code	NOUN
esrj-66107	141	9	following	follow	VERB
esrj-66107	141	10	its	its	PRON
esrj-66107	141	11	feature	feature	NOUN
esrj-66107	141	12	vectors	vector	NOUN
esrj-66107	141	13	,	,	PUNCT
esrj-66107	141	14	thereby	thereby	ADV
esrj-66107	141	15	making	make	VERB
esrj-66107	141	16	encoded	encode	VERB
esrj-66107	141	17	image	image	NOUN
esrj-66107	141	18	library	library	NOUN
esrj-66107	141	19	.	.	PUNCT
esrj-66107	142	1	this	this	DET
esrj-66107	142	2	experiment	experiment	NOUN
esrj-66107	142	3	creates	create	VERB
esrj-66107	142	4	three	three	NUM
esrj-66107	142	5	-	-	PUNCT
esrj-66107	142	6	level	level	NOUN
esrj-66107	142	7	codebooks	codebook	NOUN
esrj-66107	142	8	:	:	PUNCT
esrj-66107	142	9	150	150	NUM
esrj-66107	142	10	,	,	PUNCT
esrj-66107	142	11	300	300	NUM
esrj-66107	142	12	and	and	CCONJ
esrj-66107	142	13	600	600	NUM
esrj-66107	142	14	.	.	PUNCT
esrj-66107	143	1	experiments	experiment	NOUN
esrj-66107	143	2	are	be	AUX
esrj-66107	143	3	designed	design	VERB
esrj-66107	143	4	to	to	PART
esrj-66107	143	5	verify	verify	VERB
esrj-66107	143	6	the	the	DET
esrj-66107	143	7	retrieval	retrieval	NOUN
esrj-66107	143	8	algorithm	algorithm	NOUN
esrj-66107	143	9	proposed	propose	VERB
esrj-66107	143	10	,	,	PUNCT
esrj-66107	143	11	which	which	PRON
esrj-66107	143	12	focuses	focus	VERB
esrj-66107	143	13	on	on	ADP
esrj-66107	143	14	co	co	ADJ
esrj-66107	143	15	-	-	ADJ
esrj-66107	143	16	occurrence	occurrence	ADJ
esrj-66107	143	17	region	region	NOUN
esrj-66107	143	18	based	base	VERB
esrj-66107	143	19	bayesian	bayesian	NOUN
esrj-66107	143	20	network	network	NOUN
esrj-66107	143	21	stepwise	stepwise	NOUN
esrj-66107	143	22	remote	remote	ADJ
esrj-66107	143	23	sensing	sense	VERB
esrj-66107	143	24	image	image	NOUN
esrj-66107	143	25	retrieval	retrieval	NOUN
esrj-66107	143	26	,	,	PUNCT
esrj-66107	143	27	verifies	verifie	NOUN
esrj-66107	143	28	precision	precision	NOUN
esrj-66107	143	29	and	and	CCONJ
esrj-66107	143	30	time	time	NOUN
esrj-66107	143	31	efficiency	efficiency	NOUN
esrj-66107	143	32	of	of	ADP
esrj-66107	143	33	the	the	DET
esrj-66107	143	34	algorithm	algorithm	NOUN
esrj-66107	143	35	.	.	PUNCT
esrj-66107	144	1	3.1	3.1	NUM
esrj-66107	144	2	experiment	experiment	NOUN
esrj-66107	144	3	design	design	NOUN
esrj-66107	144	4	and	and	CCONJ
esrj-66107	144	5	results	result	NOUN
esrj-66107	144	6	considering	consider	VERB
esrj-66107	144	7	that	that	SCONJ
esrj-66107	144	8	the	the	DET
esrj-66107	144	9	retrieval	retrieval	NOUN
esrj-66107	144	10	time	time	NOUN
esrj-66107	144	11	of	of	ADP
esrj-66107	144	12	integrated	integrated	ADJ
esrj-66107	144	13	region	region	NOUN
esrj-66107	144	14	matching	matching	NOUN
esrj-66107	144	15	may	may	AUX
esrj-66107	144	16	be	be	AUX
esrj-66107	144	17	influenced	influence	VERB
esrj-66107	144	18	by	by	ADP
esrj-66107	144	19	the	the	DET
esrj-66107	144	20	segmentation	segmentation	NOUN
esrj-66107	144	21	region	region	NOUN
esrj-66107	144	22	numbers	number	NOUN
esrj-66107	144	23	of	of	ADP
esrj-66107	144	24	query	query	NOUN
esrj-66107	144	25	images	image	NOUN
esrj-66107	144	26	,	,	PUNCT
esrj-66107	144	27	the	the	DET
esrj-66107	144	28	experiment	experiment	NOUN
esrj-66107	144	29	selects	select	VERB
esrj-66107	144	30	images	image	NOUN
esrj-66107	144	31	with	with	ADP
esrj-66107	144	32	4	4	NUM
esrj-66107	144	33	to	to	PART
esrj-66107	144	34	13	13	NUM
esrj-66107	144	35	image	image	NOUN
esrj-66107	144	36	regions	region	NOUN
esrj-66107	144	37	,	,	PUNCT
esrj-66107	144	38	with	with	ADP
esrj-66107	144	39	integrated	integrated	ADJ
esrj-66107	144	40	region	region	NOUN
esrj-66107	144	41	matching	matching	NOUN
esrj-66107	144	42	and	and	CCONJ
esrj-66107	144	43	stepwise	stepwise	ADJ
esrj-66107	144	44	image	image	NOUN
esrj-66107	144	45	retrieval	retrieval	NOUN
esrj-66107	144	46	as	as	ADP
esrj-66107	144	47	controlled	control	VERB
esrj-66107	144	48	trails	trail	NOUN
esrj-66107	144	49	.	.	PUNCT
esrj-66107	145	1	each	each	DET
esrj-66107	145	2	retrieval	retrieval	NOUN
esrj-66107	145	3	experiment	experiment	NOUN
esrj-66107	145	4	is	be	AUX
esrj-66107	145	5	repeated	repeat	VERB
esrj-66107	145	6	for	for	ADP
esrj-66107	145	7	three	three	NUM
esrj-66107	145	8	times	time	NOUN
esrj-66107	145	9	,	,	PUNCT
esrj-66107	145	10	to	to	PART
esrj-66107	145	11	ensure	ensure	VERB
esrj-66107	145	12	the	the	DET
esrj-66107	145	13	accuracy	accuracy	NOUN
esrj-66107	145	14	of	of	ADP
esrj-66107	145	15	time	time	NOUN
esrj-66107	145	16	,	,	PUNCT
esrj-66107	145	17	and	and	CCONJ
esrj-66107	145	18	the	the	DET
esrj-66107	145	19	average	average	NOUN
esrj-66107	145	20	of	of	ADP
esrj-66107	145	21	the	the	DET
esrj-66107	145	22	retrieval	retrieval	NOUN
esrj-66107	145	23	time	time	NOUN
esrj-66107	145	24	is	be	AUX
esrj-66107	145	25	deemed	deem	VERB
esrj-66107	145	26	as	as	ADP
esrj-66107	145	27	the	the	DET
esrj-66107	145	28	experiment	experiment	NOUN
esrj-66107	145	29	result	result	NOUN
esrj-66107	145	30	.	.	PUNCT
esrj-66107	146	1	since	since	SCONJ
esrj-66107	146	2	stepwise	stepwise	PROPN
esrj-66107	146	3	image	image	NOUN
esrj-66107	146	4	retrieval	retrieval	NOUN
esrj-66107	146	5	experiment	experiment	NOUN
esrj-66107	146	6	records	record	VERB
esrj-66107	146	7	the	the	DET
esrj-66107	146	8	time	time	NOUN
esrj-66107	146	9	consumed	consume	VERB
esrj-66107	146	10	in	in	ADP
esrj-66107	146	11	step	step	NOUN
esrj-66107	146	12	1	1	NUM
esrj-66107	146	13	and	and	CCONJ
esrj-66107	146	14	step	step	NOUN
esrj-66107	146	15	2	2	NUM
esrj-66107	146	16	,	,	PUNCT
esrj-66107	146	17	it	it	PRON
esrj-66107	146	18	is	be	AUX
esrj-66107	146	19	possible	possible	ADJ
esrj-66107	146	20	to	to	PART
esrj-66107	146	21	obtain	obtain	VERB
esrj-66107	146	22	the	the	DET
esrj-66107	146	23	total	total	ADJ
esrj-66107	146	24	retrieval	retrieval	NOUN
esrj-66107	146	25	time	time	NOUN
esrj-66107	146	26	.	.	PUNCT
esrj-66107	147	1	this	this	DET
esrj-66107	147	2	experiment	experiment	NOUN
esrj-66107	147	3	measures	measure	NOUN
esrj-66107	147	4	performances	performance	NOUN
esrj-66107	147	5	of	of	ADP
esrj-66107	147	6	retrieval	retrieval	NOUN
esrj-66107	147	7	systems	system	NOUN
esrj-66107	147	8	by	by	ADP
esrj-66107	147	9	retrieving	retrieve	VERB
esrj-66107	147	10	time	time	NOUN
esrj-66107	147	11	and	and	CCONJ
esrj-66107	147	12	precision	precision	NOUN
esrj-66107	147	13	.	.	PUNCT
esrj-66107	148	1	the	the	DET
esrj-66107	148	2	retrieval	retrieval	NOUN
esrj-66107	148	3	time	time	NOUN
esrj-66107	148	4	of	of	ADP
esrj-66107	148	5	integrated	integrated	ADJ
esrj-66107	148	6	region	region	NOUN
esrj-66107	148	7	matching	matching	NOUN
esrj-66107	148	8	and	and	CCONJ
esrj-66107	148	9	stepwise	stepwise	ADJ
esrj-66107	148	10	image	image	NOUN
esrj-66107	148	11	retrieval	retrieval	NOUN
esrj-66107	148	12	is	be	AUX
esrj-66107	148	13	shown	show	VERB
esrj-66107	148	14	in	in	ADP
esrj-66107	148	15	table	table	NOUN
esrj-66107	148	16	2	2	NUM
esrj-66107	148	17	,	,	PUNCT
esrj-66107	148	18	and	and	CCONJ
esrj-66107	148	19	the	the	DET
esrj-66107	148	20	comparison	comparison	NOUN
esrj-66107	148	21	results	result	NOUN
esrj-66107	148	22	are	be	AUX
esrj-66107	148	23	shown	show	VERB
esrj-66107	148	24	in	in	ADP
esrj-66107	148	25	figure	figure	NOUN
esrj-66107	148	26	4(a	4(a	NUM
esrj-66107	148	27	)	)	PUNCT
esrj-66107	148	28	.	.	PUNCT
esrj-66107	149	1	since	since	SCONJ
esrj-66107	149	2	integrated	integrated	ADJ
esrj-66107	149	3	region	region	NOUN
esrj-66107	149	4	matching	matching	NOUN
esrj-66107	149	5	belongs	belong	VERB
esrj-66107	149	6	to	to	ADP
esrj-66107	149	7	sorting	sort	VERB
esrj-66107	149	8	algorithm	algorithm	NOUN
esrj-66107	149	9	,	,	PUNCT
esrj-66107	149	10	rather	rather	ADV
esrj-66107	149	11	than	than	ADP
esrj-66107	149	12	classification	classification	NOUN
esrj-66107	149	13	algorithm	algorithm	NOUN
esrj-66107	149	14	,	,	PUNCT
esrj-66107	149	15	it	it	PRON
esrj-66107	149	16	selects	select	VERB
esrj-66107	149	17	the	the	DET
esrj-66107	149	18	first	first	ADJ
esrj-66107	149	19	100	100	NUM
esrj-66107	149	20	images	image	NOUN
esrj-66107	149	21	for	for	ADP
esrj-66107	149	22	precision	precision	NOUN
esrj-66107	149	23	calculation	calculation	NOUN
esrj-66107	149	24	.	.	PUNCT
esrj-66107	150	1	as	as	ADP
esrj-66107	150	2	for	for	ADP
esrj-66107	150	3	stepwise	stepwise	ADJ
esrj-66107	150	4	image	image	NOUN
esrj-66107	150	5	retrieval	retrieval	NOUN
esrj-66107	150	6	,	,	PUNCT
esrj-66107	150	7	it	it	PRON
esrj-66107	150	8	will	will	AUX
esrj-66107	150	9	fetch	fetch	VERB
esrj-66107	150	10	the	the	DET
esrj-66107	150	11	first	first	ADJ
esrj-66107	150	12	100	100	NUM
esrj-66107	150	13	images	image	NOUN
esrj-66107	150	14	if	if	SCONJ
esrj-66107	150	15	it	it	PRON
esrj-66107	150	16	retrieves	retrieve	VERB
esrj-66107	150	17	more	more	ADJ
esrj-66107	150	18	than	than	ADP
esrj-66107	150	19	100	100	NUM
esrj-66107	150	20	images	image	NOUN
esrj-66107	150	21	;	;	PUNCT
esrj-66107	150	22	otherwise	otherwise	ADV
esrj-66107	150	23	,	,	PUNCT
esrj-66107	150	24	it	it	PRON
esrj-66107	150	25	will	will	AUX
esrj-66107	150	26	be	be	AUX
esrj-66107	150	27	subject	subject	ADJ
esrj-66107	150	28	to	to	ADP
esrj-66107	150	29	the	the	DET
esrj-66107	150	30	number	number	NOUN
esrj-66107	150	31	of	of	ADP
esrj-66107	150	32	images	image	NOUN
esrj-66107	150	33	returned	return	VERB
esrj-66107	150	34	.	.	PUNCT
esrj-66107	151	1	the	the	DET
esrj-66107	151	2	final	final	ADJ
esrj-66107	151	3	retrieval	retrieval	NOUN
esrj-66107	151	4	precision	precision	NOUN
esrj-66107	151	5	is	be	AUX
esrj-66107	151	6	demonstrated	demonstrate	VERB
esrj-66107	151	7	in	in	ADP
esrj-66107	151	8	figure	figure	NOUN
esrj-66107	151	9	4(b	4(b	NUM
esrj-66107	151	10	)	)	PUNCT
esrj-66107	151	11	.	.	PUNCT
esrj-66107	152	1	table	table	NOUN
esrj-66107	152	2	2	2	NUM
esrj-66107	152	3	.	.	PUNCT
esrj-66107	153	1	a	a	DET
esrj-66107	153	2	comparison	comparison	NOUN
esrj-66107	153	3	of	of	ADP
esrj-66107	153	4	retrieval	retrieval	NOUN
esrj-66107	153	5	time	time	NOUN
esrj-66107	153	6	between	between	ADP
esrj-66107	153	7	integrated	integrated	ADJ
esrj-66107	153	8	region	region	NOUN
esrj-66107	153	9	matching	matching	NOUN
esrj-66107	153	10	and	and	CCONJ
esrj-66107	153	11	stepwise	stepwise	ADJ
esrj-66107	153	12	image	image	NOUN
esrj-66107	153	13	retrieval	retrieval	NOUN
esrj-66107	153	14	34	34	NUM
esrj-66107	153	15	rui	rui	PROPN
esrj-66107	153	16	zeng	zeng	PROPN
esrj-66107	153	17	,	,	PUNCT
esrj-66107	153	18	yingyan	yingyan	PROPN
esrj-66107	153	19	wang	wang	PROPN
esrj-66107	153	20	,	,	PUNCT
esrj-66107	153	21	wanliang	wanliang	PROPN
esrj-66107	153	22	wang	wang	PROPN
esrj-66107	153	23	figure	figure	VERB
esrj-66107	153	24	4	4	NUM
esrj-66107	153	25	.	.	PUNCT
esrj-66107	154	1	a	a	DET
esrj-66107	154	2	comparison	comparison	NOUN
esrj-66107	154	3	of	of	ADP
esrj-66107	154	4	between	between	ADP
esrj-66107	154	5	integrated	integrated	ADJ
esrj-66107	154	6	region	region	NOUN
esrj-66107	154	7	matching	matching	NOUN
esrj-66107	154	8	and	and	CCONJ
esrj-66107	154	9	stepwise	stepwise	ADJ
esrj-66107	154	10	image	image	NOUN
esrj-66107	154	11	retrieval	retrieval	PROPN
esrj-66107	154	12	4	4	NUM
esrj-66107	154	13	.	.	PUNCT
esrj-66107	154	14	discussion	discussion	NOUN
esrj-66107	154	15	4.1	4.1	NUM
esrj-66107	154	16	time	time	NOUN
esrj-66107	154	17	efficiency	efficiency	NOUN
esrj-66107	154	18	analysis	analysis	NOUN
esrj-66107	154	19	according	accord	VERB
esrj-66107	154	20	to	to	ADP
esrj-66107	154	21	table	table	NOUN
esrj-66107	154	22	2	2	NUM
esrj-66107	154	23	,	,	PUNCT
esrj-66107	154	24	the	the	DET
esrj-66107	154	25	retrieval	retrieval	NOUN
esrj-66107	154	26	time	time	NOUN
esrj-66107	154	27	of	of	ADP
esrj-66107	154	28	integrated	integrated	ADJ
esrj-66107	154	29	region	region	NOUN
esrj-66107	154	30	matching	matching	NOUN
esrj-66107	154	31	increases	increase	NOUN
esrj-66107	154	32	gradually	gradually	ADV
esrj-66107	154	33	with	with	ADP
esrj-66107	154	34	the	the	DET
esrj-66107	154	35	increase	increase	NOUN
esrj-66107	154	36	in	in	ADP
esrj-66107	154	37	region	region	NOUN
esrj-66107	154	38	numbers	number	NOUN
esrj-66107	154	39	,	,	PUNCT
esrj-66107	154	40	which	which	PRON
esrj-66107	154	41	is	be	AUX
esrj-66107	154	42	mainly	mainly	ADV
esrj-66107	154	43	because	because	SCONJ
esrj-66107	154	44	the	the	DET
esrj-66107	154	45	number	number	NOUN
esrj-66107	154	46	increase	increase	NOUN
esrj-66107	154	47	adds	add	VERB
esrj-66107	154	48	difficulties	difficulty	NOUN
esrj-66107	154	49	to	to	ADP
esrj-66107	154	50	the	the	DET
esrj-66107	154	51	computation	computation	NOUN
esrj-66107	154	52	.	.	PUNCT
esrj-66107	155	1	nevertheless	nevertheless	ADV
esrj-66107	155	2	,	,	PUNCT
esrj-66107	155	3	the	the	DET
esrj-66107	155	4	increase	increase	NOUN
esrj-66107	155	5	in	in	ADP
esrj-66107	155	6	region	region	NOUN
esrj-66107	155	7	numbers	number	NOUN
esrj-66107	155	8	has	have	VERB
esrj-66107	155	9	little	little	ADJ
esrj-66107	155	10	impact	impact	NOUN
esrj-66107	155	11	on	on	ADP
esrj-66107	155	12	the	the	DET
esrj-66107	155	13	retrieval	retrieval	NOUN
esrj-66107	155	14	time	time	NOUN
esrj-66107	155	15	of	of	ADP
esrj-66107	155	16	stepwise	stepwise	NOUN
esrj-66107	155	17	image	image	NOUN
esrj-66107	155	18	retrieval	retrieval	NOUN
esrj-66107	155	19	.	.	PUNCT
esrj-66107	156	1	it	it	PRON
esrj-66107	156	2	fluctuates	fluctuate	VERB
esrj-66107	156	3	around	around	ADP
esrj-66107	156	4	1.3s	1.3s	NUM
esrj-66107	156	5	,	,	PUNCT
esrj-66107	156	6	1.4s	1.4s	NUM
esrj-66107	156	7	and	and	CCONJ
esrj-66107	156	8	2.35s	2.35s	NUM
esrj-66107	156	9	at	at	ADP
esrj-66107	156	10	150	150	NUM
esrj-66107	156	11	,	,	PUNCT
esrj-66107	156	12	300	300	NUM
esrj-66107	156	13	and	and	CCONJ
esrj-66107	156	14	600	600	NUM
esrj-66107	156	15	yards	yard	NOUN
esrj-66107	156	16	respectively	respectively	ADV
esrj-66107	156	17	.	.	PUNCT
esrj-66107	157	1	with	with	ADP
esrj-66107	157	2	the	the	DET
esrj-66107	157	3	increase	increase	NOUN
esrj-66107	157	4	of	of	ADP
esrj-66107	157	5	codebook	codebook	NOUN
esrj-66107	157	6	numbers	number	NOUN
esrj-66107	157	7	,	,	PUNCT
esrj-66107	157	8	however	however	ADV
esrj-66107	157	9	,	,	PUNCT
esrj-66107	157	10	the	the	DET
esrj-66107	157	11	retrieval	retrieval	NOUN
esrj-66107	157	12	time	time	NOUN
esrj-66107	157	13	increases	increase	VERB
esrj-66107	157	14	accordingly	accordingly	ADV
esrj-66107	157	15	.	.	PUNCT
esrj-66107	158	1	on	on	ADP
esrj-66107	158	2	average	average	ADJ
esrj-66107	158	3	,	,	PUNCT
esrj-66107	158	4	the	the	DET
esrj-66107	158	5	retrieve	retrieve	NOUN
esrj-66107	158	6	time	time	NOUN
esrj-66107	158	7	rises	rise	VERB
esrj-66107	158	8	by	by	ADP
esrj-66107	158	9	0.126s	0.126s	PROPN
esrj-66107	158	10	from	from	ADP
esrj-66107	158	11	150	150	NUM
esrj-66107	158	12	yards	yard	NOUN
esrj-66107	158	13	to	to	ADP
esrj-66107	158	14	300	300	NUM
esrj-66107	158	15	yards	yard	NOUN
esrj-66107	158	16	and	and	CCONJ
esrj-66107	158	17	by	by	ADP
esrj-66107	158	18	0.943s	0.943s	NUM
esrj-66107	158	19	from	from	ADP
esrj-66107	158	20	300	300	NUM
esrj-66107	158	21	yards	yard	NOUN
esrj-66107	158	22	to	to	ADP
esrj-66107	158	23	600	600	NUM
esrj-66107	158	24	yards	yard	NOUN
esrj-66107	158	25	.	.	PUNCT
esrj-66107	159	1	due	due	ADP
esrj-66107	159	2	to	to	ADP
esrj-66107	159	3	the	the	DET
esrj-66107	159	4	increase	increase	NOUN
esrj-66107	159	5	of	of	ADP
esrj-66107	159	6	codebook	codebook	NOUN
esrj-66107	159	7	numbers	number	NOUN
esrj-66107	159	8	,	,	PUNCT
esrj-66107	159	9	code	code	NOUN
esrj-66107	159	10	co	co	NOUN
esrj-66107	159	11	-	-	NOUN
esrj-66107	159	12	occurrence	occurrence	ADJ
esrj-66107	159	13	matrices	matrix	NOUN
esrj-66107	159	14	appear	appear	VERB
esrj-66107	159	15	.	.	PUNCT
esrj-66107	160	1	the	the	DET
esrj-66107	160	2	codebooks	codebook	NOUN
esrj-66107	160	3	at	at	ADP
esrj-66107	160	4	300	300	NUM
esrj-66107	160	5	yards	yard	NOUN
esrj-66107	160	6	are	be	AUX
esrj-66107	160	7	eight	eight	NUM
esrj-66107	160	8	times	time	NOUN
esrj-66107	160	9	those	those	PRON
esrj-66107	160	10	at	at	ADP
esrj-66107	160	11	150	150	NUM
esrj-66107	160	12	yards	yard	NOUN
esrj-66107	160	13	,	,	PUNCT
esrj-66107	160	14	and	and	CCONJ
esrj-66107	160	15	the	the	DET
esrj-66107	160	16	codebooks	codebook	NOUN
esrj-66107	160	17	at	at	ADP
esrj-66107	160	18	600	600	NUM
esrj-66107	160	19	yards	yard	NOUN
esrj-66107	160	20	are	be	AUX
esrj-66107	160	21	eight	eight	NUM
esrj-66107	160	22	times	time	NOUN
esrj-66107	160	23	those	those	PRON
esrj-66107	160	24	at	at	ADP
esrj-66107	160	25	300	300	NUM
esrj-66107	160	26	yards	yard	NOUN
esrj-66107	160	27	,	,	PUNCT
esrj-66107	160	28	which	which	PRON
esrj-66107	160	29	indicates	indicate	VERB
esrj-66107	160	30	that	that	SCONJ
esrj-66107	160	31	the	the	DET
esrj-66107	160	32	ratio	ratio	NOUN
esrj-66107	160	33	of	of	ADP
esrj-66107	160	34	retrieval	retrieval	NOUN
esrj-66107	160	35	time	time	NOUN
esrj-66107	160	36	difference	difference	NOUN
esrj-66107	160	37	is	be	AUX
esrj-66107	160	38	1:8	1:8	NUM
esrj-66107	160	39	.	.	PUNCT
esrj-66107	161	1	through	through	ADP
esrj-66107	161	2	experiment	experiment	NOUN
esrj-66107	161	3	,	,	PUNCT
esrj-66107	161	4	the	the	DET
esrj-66107	161	5	ratio	ratio	NOUN
esrj-66107	161	6	is	be	AUX
esrj-66107	161	7	proved	prove	VERB
esrj-66107	161	8	to	to	PART
esrj-66107	161	9	be	be	AUX
esrj-66107	161	10	1:7.4841	1:7.4841	NUM
esrj-66107	161	11	,	,	PUNCT
esrj-66107	161	12	which	which	PRON
esrj-66107	161	13	is	be	AUX
esrj-66107	161	14	consistent	consistent	ADJ
esrj-66107	161	15	with	with	ADP
esrj-66107	161	16	the	the	DET
esrj-66107	161	17	speculation	speculation	NOUN
esrj-66107	161	18	.	.	PUNCT
esrj-66107	162	1	the	the	DET
esrj-66107	162	2	retrieval	retrieval	ADJ
esrj-66107	162	3	time	time	NOUN
esrj-66107	162	4	of	of	ADP
esrj-66107	162	5	step	step	NOUN
esrj-66107	162	6	2	2	NUM
esrj-66107	162	7	is	be	AUX
esrj-66107	162	8	related	relate	VERB
esrj-66107	162	9	to	to	ADP
esrj-66107	162	10	the	the	DET
esrj-66107	162	11	number	number	NOUN
esrj-66107	162	12	of	of	ADP
esrj-66107	162	13	candidate	candidate	NOUN
esrj-66107	162	14	images	image	NOUN
esrj-66107	162	15	returned	return	VERB
esrj-66107	162	16	in	in	ADP
esrj-66107	162	17	step	step	NOUN
esrj-66107	162	18	1	1	NUM
esrj-66107	162	19	.	.	PUNCT
esrj-66107	163	1	it	it	PRON
esrj-66107	163	2	can	can	AUX
esrj-66107	163	3	be	be	AUX
esrj-66107	163	4	seen	see	VERB
esrj-66107	163	5	from	from	ADP
esrj-66107	163	6	figure	figure	NOUN
esrj-66107	163	7	4(a	4(a	NUM
esrj-66107	163	8	)	)	PUNCT
esrj-66107	163	9	that	that	SCONJ
esrj-66107	163	10	the	the	DET
esrj-66107	163	11	retrieval	retrieval	NOUN
esrj-66107	163	12	time	time	NOUN
esrj-66107	163	13	of	of	ADP
esrj-66107	163	14	stepwise	stepwise	ADJ
esrj-66107	163	15	image	image	NOUN
esrj-66107	163	16	retrieval	retrieval	NOUN
esrj-66107	163	17	is	be	AUX
esrj-66107	163	18	significantly	significantly	ADV
esrj-66107	163	19	shorter	short	ADJ
esrj-66107	163	20	than	than	ADP
esrj-66107	163	21	that	that	PRON
esrj-66107	163	22	of	of	ADP
esrj-66107	163	23	integrated	integrated	ADJ
esrj-66107	163	24	region	region	NOUN
esrj-66107	163	25	matching	matching	NOUN
esrj-66107	163	26	,	,	PUNCT
esrj-66107	163	27	which	which	PRON
esrj-66107	163	28	is	be	AUX
esrj-66107	163	29	because	because	SCONJ
esrj-66107	163	30	co	co	ADJ
esrj-66107	163	31	-	-	NOUN
esrj-66107	163	32	occurrence	occurrence	ADJ
esrj-66107	163	33	region	region	NOUN
esrj-66107	163	34	based	base	VERB
esrj-66107	163	35	remote	remote	ADJ
esrj-66107	163	36	sensing	sense	VERB
esrj-66107	163	37	image	image	NOUN
esrj-66107	163	38	retrieval	retrieval	NOUN
esrj-66107	163	39	has	have	VERB
esrj-66107	163	40	lower	low	ADJ
esrj-66107	163	41	time	time	NOUN
esrj-66107	163	42	complexity	complexity	NOUN
esrj-66107	163	43	.	.	PUNCT
esrj-66107	164	1	4.2	4.2	NUM
esrj-66107	164	2	recall	recall	NOUN
esrj-66107	164	3	analysis	analysis	NOUN
esrj-66107	164	4	according	accord	VERB
esrj-66107	164	5	to	to	PART
esrj-66107	164	6	figure	figure	VERB
esrj-66107	164	7	4(b	4(b	NUM
esrj-66107	164	8	)	)	PUNCT
esrj-66107	164	9	,	,	PUNCT
esrj-66107	164	10	the	the	DET
esrj-66107	164	11	precision	precision	NOUN
esrj-66107	164	12	of	of	ADP
esrj-66107	164	13	integrated	integrated	ADJ
esrj-66107	164	14	region	region	NOUN
esrj-66107	164	15	matching	matching	NOUN
esrj-66107	164	16	is	be	AUX
esrj-66107	164	17	0.609	0.609	NUM
esrj-66107	164	18	,	,	PUNCT
esrj-66107	164	19	which	which	PRON
esrj-66107	164	20	is	be	AUX
esrj-66107	164	21	significantly	significantly	ADV
esrj-66107	164	22	higher	high	ADJ
esrj-66107	164	23	than	than	ADP
esrj-66107	164	24	that	that	PRON
esrj-66107	164	25	of	of	ADP
esrj-66107	164	26	stepwise	stepwise	NOUN
esrj-66107	164	27	image	image	NOUN
esrj-66107	164	28	retrieval	retrieval	NOUN
esrj-66107	164	29	(	(	PUNCT
esrj-66107	164	30	0.853	0.853	NUM
esrj-66107	164	31	,	,	PUNCT
esrj-66107	164	32	0.926	0.926	NUM
esrj-66107	164	33	and	and	CCONJ
esrj-66107	164	34	0.93	0.93	NUM
esrj-66107	164	35	at	at	ADP
esrj-66107	164	36	150	150	NUM
esrj-66107	164	37	,	,	PUNCT
esrj-66107	164	38	300	300	NUM
esrj-66107	164	39	and	and	CCONJ
esrj-66107	164	40	600	600	NUM
esrj-66107	164	41	yards	yard	NOUN
esrj-66107	164	42	respectively	respectively	ADV
esrj-66107	164	43	)	)	PUNCT
esrj-66107	164	44	.	.	PUNCT
esrj-66107	165	1	the	the	DET
esrj-66107	165	2	reasons	reason	NOUN
esrj-66107	165	3	are	be	AUX
esrj-66107	165	4	as	as	SCONJ
esrj-66107	165	5	follows	follow	VERB
esrj-66107	165	6	:	:	PUNCT
esrj-66107	165	7	images	image	NOUN
esrj-66107	165	8	retrieved	retrieve	VERB
esrj-66107	165	9	by	by	ADP
esrj-66107	165	10	integrated	integrated	ADJ
esrj-66107	165	11	region	region	NOUN
esrj-66107	165	12	matching	matching	NOUN
esrj-66107	165	13	are	be	AUX
esrj-66107	165	14	merely	merely	ADV
esrj-66107	165	15	similar	similar	ADJ
esrj-66107	165	16	to	to	ADP
esrj-66107	165	17	each	each	DET
esrj-66107	165	18	other	other	ADJ
esrj-66107	165	19	in	in	ADP
esrj-66107	165	20	respect	respect	NOUN
esrj-66107	165	21	to	to	PART
esrj-66107	165	22	lowlevel	lowlevel	VERB
esrj-66107	165	23	features	feature	NOUN
esrj-66107	165	24	,	,	PUNCT
esrj-66107	165	25	without	without	ADP
esrj-66107	165	26	considering	consider	VERB
esrj-66107	165	27	semantic	semantic	ADJ
esrj-66107	165	28	similarity	similarity	NOUN
esrj-66107	165	29	.	.	PUNCT
esrj-66107	166	1	stepwise	stepwise	PROPN
esrj-66107	166	2	image	image	NOUN
esrj-66107	166	3	retrieval	retrieval	NOUN
esrj-66107	166	4	selects	select	NOUN
esrj-66107	166	5	candidate	candidate	NOUN
esrj-66107	166	6	images	image	NOUN
esrj-66107	166	7	highly	highly	ADV
esrj-66107	166	8	correlated	correlate	VERB
esrj-66107	166	9	with	with	ADP
esrj-66107	166	10	query	query	NOUN
esrj-66107	166	11	images	image	NOUN
esrj-66107	166	12	and	and	CCONJ
esrj-66107	166	13	retrieves	retrieve	VERB
esrj-66107	166	14	images	image	NOUN
esrj-66107	166	15	with	with	ADP
esrj-66107	166	16	similar	similar	ADJ
esrj-66107	166	17	characteristics	characteristic	NOUN
esrj-66107	166	18	to	to	ADP
esrj-66107	166	19	query	query	NOUN
esrj-66107	166	20	images	image	NOUN
esrj-66107	166	21	by	by	ADP
esrj-66107	166	22	integrated	integrated	ADJ
esrj-66107	166	23	region	region	NOUN
esrj-66107	166	24	matching	matching	NOUN
esrj-66107	166	25	,	,	PUNCT
esrj-66107	166	26	which	which	PRON
esrj-66107	166	27	effectively	effectively	ADV
esrj-66107	166	28	improves	improve	VERB
esrj-66107	166	29	the	the	DET
esrj-66107	166	30	precision	precision	NOUN
esrj-66107	166	31	of	of	ADP
esrj-66107	166	32	image	image	NOUN
esrj-66107	166	33	retrieval	retrieval	NOUN
esrj-66107	166	34	.	.	PUNCT
esrj-66107	167	1	4.3	4.3	NUM
esrj-66107	167	2	retrieval	retrieval	NOUN
esrj-66107	167	3	cases	case	NOUN
esrj-66107	167	4	this	this	DET
esrj-66107	167	5	paper	paper	NOUN
esrj-66107	167	6	selects	select	VERB
esrj-66107	167	7	an	an	DET
esrj-66107	167	8	image	image	NOUN
esrj-66107	167	9	of	of	ADP
esrj-66107	167	10	city	city	NOUN
esrj-66107	167	11	region	region	NOUN
esrj-66107	167	12	for	for	ADP
esrj-66107	167	13	retrieval	retrieval	NOUN
esrj-66107	167	14	analysis	analysis	NOUN
esrj-66107	167	15	and	and	CCONJ
esrj-66107	167	16	600	600	NUM
esrj-66107	167	17	yards	yard	NOUN
esrj-66107	167	18	for	for	ADP
esrj-66107	167	19	stepwise	stepwise	ADJ
esrj-66107	167	20	image	image	NOUN
esrj-66107	167	21	retrieval	retrieval	NOUN
esrj-66107	167	22	.	.	PUNCT
esrj-66107	168	1	the	the	DET
esrj-66107	168	2	first	first	ADJ
esrj-66107	168	3	ten	ten	NUM
esrj-66107	168	4	images	image	NOUN
esrj-66107	168	5	retrieved	retrieve	VERB
esrj-66107	168	6	are	be	AUX
esrj-66107	168	7	shown	show	VERB
esrj-66107	168	8	in	in	ADP
esrj-66107	168	9	table	table	NOUN
esrj-66107	168	10	3	3	NUM
esrj-66107	168	11	:	:	PUNCT
esrj-66107	168	12	arranged	arrange	VERB
esrj-66107	168	13	from	from	ADP
esrj-66107	168	14	left	leave	VERB
esrj-66107	168	15	to	to	ADP
esrj-66107	168	16	right	right	NOUN
esrj-66107	168	17	and	and	CCONJ
esrj-66107	168	18	from	from	ADP
esrj-66107	168	19	top	top	NOUN
esrj-66107	168	20	to	to	ADP
esrj-66107	168	21	bottom	bottom	NOUN
esrj-66107	168	22	.	.	PUNCT
esrj-66107	169	1	table	table	NOUN
esrj-66107	169	2	3	3	NUM
esrj-66107	169	3	.	.	PUNCT
esrj-66107	170	1	a	a	DET
esrj-66107	170	2	comparison	comparison	NOUN
esrj-66107	170	3	of	of	ADP
esrj-66107	170	4	retrieval	retrieval	NOUN
esrj-66107	170	5	results	result	NOUN
esrj-66107	170	6	between	between	ADP
esrj-66107	170	7	stepwise	stepwise	PROPN
esrj-66107	170	8	image	image	NOUN
esrj-66107	170	9	retrieval	retrieval	NOUN
esrj-66107	170	10	and	and	CCONJ
esrj-66107	170	11	integrated	integrate	VERB
esrj-66107	170	12	region	region	NOUN
esrj-66107	170	13	matching	match	VERB
esrj-66107	170	14	35a	35a	NOUN
esrj-66107	170	15	co	co	ADJ
esrj-66107	170	16	-	-	ADJ
esrj-66107	170	17	occurrence	occurrence	ADJ
esrj-66107	170	18	region	region	NOUN
esrj-66107	170	19	based	base	VERB
esrj-66107	170	20	bayesian	bayesian	NOUN
esrj-66107	170	21	network	network	NOUN
esrj-66107	170	22	stepwise	stepwise	NOUN
esrj-66107	170	23	remote	remote	ADJ
esrj-66107	170	24	sensing	sense	VERB
esrj-66107	170	25	image	image	NOUN
esrj-66107	170	26	retrieval	retrieval	NOUN
esrj-66107	170	27	algorithm	algorithm	NOUN
esrj-66107	170	28	5	5	NUM
esrj-66107	170	29	.	.	PUNCT
esrj-66107	170	30	conclusions	conclusion	NOUN
esrj-66107	170	31	by	by	ADP
esrj-66107	170	32	considering	consider	VERB
esrj-66107	170	33	remote	remote	ADJ
esrj-66107	170	34	sensing	sense	VERB
esrj-66107	170	35	image	image	NOUN
esrj-66107	170	36	features	feature	NOUN
esrj-66107	170	37	and	and	CCONJ
esrj-66107	170	38	remote	remote	ADJ
esrj-66107	170	39	sensing	sense	VERB
esrj-66107	170	40	image	image	NOUN
esrj-66107	170	41	retrieval	retrieval	NOUN
esrj-66107	170	42	,	,	PUNCT
esrj-66107	170	43	the	the	DET
esrj-66107	170	44	paper	paper	NOUN
esrj-66107	170	45	proposes	propose	VERB
esrj-66107	170	46	a	a	DET
esrj-66107	170	47	co	co	ADJ
esrj-66107	170	48	-	-	NOUN
esrj-66107	170	49	occurrence	occurrence	ADJ
esrj-66107	170	50	region	region	NOUN
esrj-66107	170	51	based	base	VERB
esrj-66107	170	52	bayesian	bayesian	NOUN
esrj-66107	170	53	network	network	NOUN
esrj-66107	170	54	stepwise	stepwise	NOUN
esrj-66107	170	55	remote	remote	ADJ
esrj-66107	170	56	sensing	sense	VERB
esrj-66107	170	57	image	image	NOUN
esrj-66107	170	58	retrieval	retrieval	NOUN
esrj-66107	170	59	algorithm	algorithm	NOUN
esrj-66107	170	60	that	that	PRON
esrj-66107	170	61	takes	take	VERB
esrj-66107	170	62	into	into	ADP
esrj-66107	170	63	account	account	NOUN
esrj-66107	170	64	both	both	DET
esrj-66107	170	65	time	time	NOUN
esrj-66107	170	66	efficiency	efficiency	NOUN
esrj-66107	170	67	and	and	CCONJ
esrj-66107	170	68	retrieval	retrieval	NOUN
esrj-66107	170	69	precision	precision	NOUN
esrj-66107	170	70	.	.	PUNCT
esrj-66107	171	1	this	this	DET
esrj-66107	171	2	algorithm	algorithm	NOUN
esrj-66107	171	3	mainly	mainly	ADV
esrj-66107	171	4	draws	draw	VERB
esrj-66107	171	5	reference	reference	NOUN
esrj-66107	171	6	from	from	ADP
esrj-66107	171	7	stepwise	stepwise	ADJ
esrj-66107	171	8	remote	remote	ADJ
esrj-66107	171	9	sensing	sense	VERB
esrj-66107	171	10	image	image	NOUN
esrj-66107	171	11	retrieval	retrieval	NOUN
esrj-66107	171	12	proposed	propose	VERB
esrj-66107	171	13	by	by	ADP
esrj-66107	171	14	moustakidis	moustakidi	NOUN
esrj-66107	171	15	et	et	NOUN
esrj-66107	171	16	al.(2012	al.(2012	NOUN
esrj-66107	171	17	)	)	PUNCT
esrj-66107	171	18	and	and	CCONJ
esrj-66107	171	19	based	base	VERB
esrj-66107	171	20	on	on	ADP
esrj-66107	171	21	csbn	csbn	ADJ
esrj-66107	171	22	and	and	CCONJ
esrj-66107	171	23	integrated	integrated	ADJ
esrj-66107	171	24	region	region	NOUN
esrj-66107	171	25	matching	matching	NOUN
esrj-66107	171	26	.	.	PUNCT
esrj-66107	172	1	it	it	PRON
esrj-66107	172	2	consists	consist	VERB
esrj-66107	172	3	of	of	ADP
esrj-66107	172	4	two	two	NUM
esrj-66107	172	5	parts	part	NOUN
esrj-66107	172	6	:	:	PUNCT
esrj-66107	172	7	co	co	ADJ
esrj-66107	172	8	-	-	NOUN
esrj-66107	172	9	occurrence	occurrence	ADJ
esrj-66107	172	10	region	region	NOUN
esrj-66107	172	11	based	base	VERB
esrj-66107	172	12	remote	remote	ADJ
esrj-66107	172	13	sensing	sense	VERB
esrj-66107	172	14	image	image	NOUN
esrj-66107	172	15	retrieval	retrieval	NOUN
esrj-66107	172	16	and	and	CCONJ
esrj-66107	172	17	integrated	integrated	ADJ
esrj-66107	172	18	region	region	NOUN
esrj-66107	172	19	matching	matching	NOUN
esrj-66107	172	20	.	.	PUNCT
esrj-66107	173	1	select	select	VERB
esrj-66107	173	2	a	a	DET
esrj-66107	173	3	group	group	NOUN
esrj-66107	173	4	of	of	ADP
esrj-66107	173	5	candidate	candidate	NOUN
esrj-66107	173	6	images	image	NOUN
esrj-66107	173	7	that	that	PRON
esrj-66107	173	8	are	be	AUX
esrj-66107	173	9	highly	highly	ADV
esrj-66107	173	10	correlated	correlate	VERB
esrj-66107	173	11	with	with	ADP
esrj-66107	173	12	query	query	NOUN
esrj-66107	173	13	images	image	NOUN
esrj-66107	173	14	in	in	ADP
esrj-66107	173	15	semantics	semantic	NOUN
esrj-66107	173	16	by	by	ADP
esrj-66107	173	17	co	co	NOUN
esrj-66107	173	18	-	-	NOUN
esrj-66107	173	19	occurrence	occurrence	ADJ
esrj-66107	173	20	region	region	NOUN
esrj-66107	173	21	based	base	VERB
esrj-66107	173	22	remote	remote	ADJ
esrj-66107	173	23	sensing	sense	VERB
esrj-66107	173	24	image	image	NOUN
esrj-66107	173	25	retrieval	retrieval	NOUN
esrj-66107	173	26	and	and	CCONJ
esrj-66107	173	27	reorder	reorder	NOUN
esrj-66107	173	28	the	the	DET
esrj-66107	173	29	candidate	candidate	NOUN
esrj-66107	173	30	images	image	NOUN
esrj-66107	173	31	with	with	ADP
esrj-66107	173	32	integrated	integrated	ADJ
esrj-66107	173	33	region	region	NOUN
esrj-66107	173	34	matching	matching	NOUN
esrj-66107	173	35	,	,	PUNCT
esrj-66107	173	36	thereby	thereby	ADV
esrj-66107	173	37	obtaining	obtain	VERB
esrj-66107	173	38	the	the	DET
esrj-66107	173	39	final	final	ADJ
esrj-66107	173	40	retrieval	retrieval	NOUN
esrj-66107	173	41	results	result	NOUN
esrj-66107	173	42	.	.	PUNCT
esrj-66107	174	1	from	from	ADP
esrj-66107	174	2	the	the	DET
esrj-66107	174	3	perspective	perspective	NOUN
esrj-66107	174	4	of	of	ADP
esrj-66107	174	5	time	time	NOUN
esrj-66107	174	6	efficiency	efficiency	NOUN
esrj-66107	174	7	,	,	PUNCT
esrj-66107	174	8	stepwise	stepwise	NOUN
esrj-66107	174	9	remote	remote	ADJ
esrj-66107	174	10	sensing	sense	VERB
esrj-66107	174	11	image	image	NOUN
esrj-66107	174	12	retrieval	retrieval	NOUN
esrj-66107	174	13	consumes	consume	NOUN
esrj-66107	174	14	1.5171s	1.5171s	NUM
esrj-66107	174	15	,	,	PUNCT
esrj-66107	174	16	1.5425s	1.5425s	NUM
esrj-66107	174	17	and	and	CCONJ
esrj-66107	174	18	2.4454s	2.4454s	NUM
esrj-66107	174	19	at	at	ADP
esrj-66107	174	20	150	150	NUM
esrj-66107	174	21	,	,	PUNCT
esrj-66107	174	22	300	300	NUM
esrj-66107	174	23	and	and	CCONJ
esrj-66107	174	24	600	600	NUM
esrj-66107	174	25	yards	yard	NOUN
esrj-66107	174	26	respectively	respectively	ADV
esrj-66107	174	27	.	.	PUNCT
esrj-66107	175	1	regarding	regard	VERB
esrj-66107	175	2	the	the	DET
esrj-66107	175	3	precision	precision	NOUN
esrj-66107	175	4	,	,	PUNCT
esrj-66107	175	5	integrated	integrate	VERB
esrj-66107	175	6	region	region	NOUN
esrj-66107	175	7	matching	matching	NOUN
esrj-66107	175	8	enjoys	enjoy	VERB
esrj-66107	175	9	an	an	DET
esrj-66107	175	10	accuracy	accuracy	NOUN
esrj-66107	175	11	of	of	ADP
esrj-66107	175	12	0.609	0.609	NUM
esrj-66107	175	13	while	while	SCONJ
esrj-66107	175	14	stepwise	stepwise	ADJ
esrj-66107	175	15	image	image	NOUN
esrj-66107	175	16	retrieval	retrieval	NOUN
esrj-66107	175	17	significantly	significantly	ADV
esrj-66107	175	18	improves	improve	VERB
esrj-66107	175	19	the	the	DET
esrj-66107	175	20	precision	precision	NOUN
esrj-66107	175	21	to	to	ADP
esrj-66107	175	22	0.853	0.853	NUM
esrj-66107	175	23	,	,	PUNCT
esrj-66107	175	24	0.926	0.926	NUM
esrj-66107	175	25	and	and	CCONJ
esrj-66107	175	26	0.93	0.93	NUM
esrj-66107	175	27	at	at	ADP
esrj-66107	175	28	150	150	NUM
esrj-66107	175	29	,	,	PUNCT
esrj-66107	175	30	300	300	NUM
esrj-66107	175	31	and	and	CCONJ
esrj-66107	175	32	600	600	NUM
esrj-66107	175	33	yards	yard	NOUN
esrj-66107	175	34	respectively	respectively	ADV
esrj-66107	175	35	.	.	PUNCT
esrj-66107	176	1	acknowledgments	acknowledgment	NOUN
esrj-66107	176	2	this	this	DET
esrj-66107	176	3	research	research	NOUN
esrj-66107	176	4	was	be	AUX
esrj-66107	176	5	financially	financially	ADV
esrj-66107	176	6	supported	support	VERB
esrj-66107	176	7	by	by	ADP
esrj-66107	176	8	science	science	NOUN
esrj-66107	176	9	and	and	CCONJ
esrj-66107	176	10	technology	technology	NOUN
esrj-66107	176	11	project	project	NOUN
esrj-66107	176	12	of	of	ADP
esrj-66107	176	13	zhejiang	zhejiang	PROPN
esrj-66107	176	14	province	province	PROPN
esrj-66107	176	15	(	(	PUNCT
esrj-66107	176	16	grant	grant	VERB
esrj-66107	176	17	no	no	INTJ
esrj-66107	176	18	.	.	PUNCT
esrj-66107	177	1	2015c31171	2015c31171	NUM
esrj-66107	177	2	)	)	PUNCT
esrj-66107	177	3	and	and	CCONJ
esrj-66107	177	4	national	national	ADJ
esrj-66107	177	5	education	education	NOUN
esrj-66107	177	6	information	information	NOUN
esrj-66107	177	7	technology	technology	NOUN
esrj-66107	177	8	research	research	NOUN
esrj-66107	177	9	plan	plan	NOUN
esrj-66107	177	10	project(grant	project(grant	NOUN
esrj-66107	177	11	no	no	NOUN
esrj-66107	177	12	.	.	NOUN
esrj-66107	177	13	146241806	146241806	NUM
esrj-66107	177	14	)	)	PUNCT
esrj-66107	177	15	(	(	PUNCT
esrj-66107	177	16	grant	grant	VERB
esrj-66107	177	17	no	no	INTJ
esrj-66107	177	18	.	.	NOUN
esrj-66107	177	19	136241559	136241559	NUM
esrj-66107	177	20	)	)	PUNCT
esrj-66107	177	21	.	.	PUNCT
esrj-66107	178	1	references	reference	NOUN
esrj-66107	178	2	abdi	abdi	PROPN
esrj-66107	178	3	,	,	PUNCT
esrj-66107	178	4	m.	m.	PROPN
esrj-66107	178	5	j.	j.	PROPN
esrj-66107	178	6	,	,	PUNCT
esrj-66107	178	7	&	&	CCONJ
esrj-66107	178	8	giveki	giveki	PROPN
esrj-66107	178	9	,	,	PUNCT
esrj-66107	178	10	d.	d.	PROPN
esrj-66107	178	11	(	(	PUNCT
esrj-66107	178	12	2013	2013	NUM
esrj-66107	178	13	)	)	PUNCT
esrj-66107	178	14	.	.	PUNCT
esrj-66107	179	1	automatic	automatic	ADJ
esrj-66107	179	2	detection	detection	NOUN
esrj-66107	179	3	of	of	ADP
esrj-66107	179	4	erythematosquamous	erythematosquamous	ADJ
esrj-66107	179	5	diseases	disease	NOUN
esrj-66107	179	6	using	use	VERB
esrj-66107	179	7	pso	pso	NOUN
esrj-66107	179	8	-	-	PUNCT
esrj-66107	179	9	svm	svm	NOUN
esrj-66107	179	10	based	base	VERB
esrj-66107	179	11	on	on	ADP
esrj-66107	179	12	association	association	NOUN
esrj-66107	179	13	rules	rule	NOUN
esrj-66107	179	14	.	.	PUNCT
esrj-66107	180	1	engineering	engineering	NOUN
esrj-66107	180	2	applications	application	NOUN
esrj-66107	180	3	of	of	ADP
esrj-66107	180	4	artificial	artificial	ADJ
esrj-66107	180	5	intelligence	intelligence	NOUN
esrj-66107	180	6	,	,	PUNCT
esrj-66107	180	7	26(1	26(1	NUM
esrj-66107	180	8	)	)	PUNCT
esrj-66107	180	9	,	,	PUNCT
esrj-66107	180	10	603–608	603–608	NUM
esrj-66107	180	11	.	.	PUNCT
esrj-66107	180	12	ali	ali	PROPN
esrj-66107	180	13	,	,	PUNCT
esrj-66107	180	14	s.	s.	PROPN
esrj-66107	180	15	s.	s.	PROPN
esrj-66107	180	16	,	,	PUNCT
esrj-66107	180	17	ijaz	ijaz	PROPN
esrj-66107	180	18	,	,	PUNCT
esrj-66107	180	19	n.	n.	PROPN
esrj-66107	180	20	,	,	PUNCT
esrj-66107	180	21	aman	aman	NOUN
esrj-66107	180	22	,	,	PUNCT
esrj-66107	180	23	n.	n.	NOUN
esrj-66107	180	24	,	,	PUNCT
esrj-66107	180	25	nasir	nasir	PROPN
esrj-66107	180	26	,	,	PUNCT
esrj-66107	180	27	d.	d.	PROPN
esrj-66107	180	28	a.	a.	PROPN
esrj-66107	180	29	,	,	PUNCT
esrj-66107	180	30	anjum	anjum	PROPN
esrj-66107	180	31	,	,	PUNCT
esrj-66107	180	32	d.	d.	PROPN
esrj-66107	180	33	l.	l.	PROPN
esrj-66107	180	34	,	,	PUNCT
esrj-66107	180	35	&	&	CCONJ
esrj-66107	180	36	randhawa	randhawa	PROPN
esrj-66107	180	37	,	,	PUNCT
esrj-66107	180	38	d.	d.	PROPN
esrj-66107	180	39	i.	i.	PROPN
esrj-66107	180	40	a.	a.	PROPN
esrj-66107	180	41	(	(	PUNCT
esrj-66107	180	42	2017	2017	NUM
esrj-66107	180	43	)	)	PUNCT
esrj-66107	180	44	.	.	PUNCT
esrj-66107	181	1	clinical	clinical	ADJ
esrj-66107	181	2	waste	waste	NOUN
esrj-66107	181	3	management	management	NOUN
esrj-66107	181	4	practices	practice	NOUN
esrj-66107	181	5	in	in	ADP
esrj-66107	181	6	district	district	PROPN
esrj-66107	181	7	faisalabad	faisalabad	PROPN
esrj-66107	181	8	.	.	PUNCT
esrj-66107	182	1	earth	earth	PROPN
esrj-66107	182	2	sciences	sciences	PROPN
esrj-66107	182	3	pakistan	pakistan	PROPN
esrj-66107	182	4	,	,	PUNCT
esrj-66107	182	5	1	1	NUM
esrj-66107	182	6	(	(	PUNCT
esrj-66107	182	7	2	2	NUM
esrj-66107	182	8	)	)	PUNCT
esrj-66107	182	9	,	,	PUNCT
esrj-66107	182	10	01–03	01–03	PROPN
esrj-66107	182	11	.	.	PUNCT
esrj-66107	183	1	amiri	amiri	PROPN
esrj-66107	183	2	,	,	PUNCT
esrj-66107	183	3	m.	m.	NOUN
esrj-66107	183	4	,	,	PUNCT
esrj-66107	183	5	arabhosseini	arabhosseini	PROPN
esrj-66107	183	6	,	,	PUNCT
esrj-66107	183	7	a.	a.	NOUN
esrj-66107	183	8	,	,	PUNCT
esrj-66107	183	9	kianmehr	kianmehr	NOUN
esrj-66107	183	10	,	,	PUNCT
esrj-66107	183	11	m.	m.	NOUN
esrj-66107	183	12	h.	h.	PROPN
esrj-66107	183	13	,	,	PUNCT
esrj-66107	183	14	mehrjerdi	mehrjerdi	PROPN
esrj-66107	183	15	,	,	PUNCT
esrj-66107	183	16	m.	m.	NOUN
esrj-66107	183	17	z.	z.	PROPN
esrj-66107	183	18	,	,	PUNCT
esrj-66107	183	19	&	&	CCONJ
esrj-66107	183	20	mirsaeedghazi	mirsaeedghazi	PROPN
esrj-66107	183	21	,	,	PUNCT
esrj-66107	183	22	h.	h.	PROPN
esrj-66107	183	23	(	(	PUNCT
esrj-66107	183	24	2017	2017	NUM
esrj-66107	183	25	)	)	PUNCT
esrj-66107	183	26	.	.	PUNCT
esrj-66107	184	1	environmental	environmental	ADJ
esrj-66107	184	2	impact	impact	NOUN
esrj-66107	184	3	assessment	assessment	NOUN
esrj-66107	184	4	of	of	ADP
esrj-66107	184	5	total	total	ADJ
esrj-66107	184	6	alkaloid	alkaloid	NOUN
esrj-66107	184	7	extracted	extract	VERB
esrj-66107	184	8	from	from	ADP
esrj-66107	184	9	the	the	DET
esrj-66107	184	10	atropa	atropa	NOUN
esrj-66107	184	11	belladonna	belladonna	PROPN
esrj-66107	184	12	l.	l.	PROPN
esrj-66107	184	13	using	use	VERB
esrj-66107	184	14	lca	lca	PROPN
esrj-66107	184	15	.	.	PUNCT
esrj-66107	185	1	geology	geology	NOUN
esrj-66107	185	2	,	,	PUNCT
esrj-66107	185	3	ecology	ecology	NOUN
esrj-66107	185	4	,	,	PUNCT
esrj-66107	185	5	and	and	CCONJ
esrj-66107	185	6	landscape	landscape	NOUN
esrj-66107	185	7	,	,	PUNCT
esrj-66107	185	8	1(4	1(4	NUM
esrj-66107	185	9	)	)	PUNCT
esrj-66107	185	10	,	,	PUNCT
esrj-66107	185	11	259	259	NUM
esrj-66107	185	12	-	-	SYM
esrj-66107	185	13	263	263	NUM
esrj-66107	185	14	.	.	PUNCT
esrj-66107	186	1	basarian	basarian	PROPN
esrj-66107	186	2	,	,	PUNCT
esrj-66107	186	3	m.	m.	NOUN
esrj-66107	186	4	s.	s.	PROPN
esrj-66107	186	5	,	,	PUNCT
esrj-66107	186	6	&	&	CCONJ
esrj-66107	186	7	tahir	tahir	PROPN
esrj-66107	186	8	,	,	PUNCT
esrj-66107	186	9	s.	s.	PROPN
esrj-66107	186	10	h.	h.	PROPN
esrj-66107	186	11	(	(	PUNCT
esrj-66107	186	12	2017	2017	NUM
esrj-66107	186	13	)	)	PUNCT
esrj-66107	186	14	.	.	PUNCT
esrj-66107	187	1	groundwater	groundwater	NOUN
esrj-66107	187	2	prospecting	prospect	VERB
esrj-66107	187	3	using	use	VERB
esrj-66107	187	4	geoelectrical	geoelectrical	ADJ
esrj-66107	187	5	method	method	NOUN
esrj-66107	187	6	at	at	ADP
esrj-66107	187	7	kg	kg	PROPN
esrj-66107	187	8	gana	gana	PROPN
esrj-66107	187	9	,	,	PUNCT
esrj-66107	187	10	kota	kota	PROPN
esrj-66107	187	11	marudu	marudu	NOUN
esrj-66107	187	12	,	,	PUNCT
esrj-66107	187	13	sabah	sabah	PROPN
esrj-66107	187	14	.	.	PUNCT
esrj-66107	188	1	earth	earth	PROPN
esrj-66107	188	2	science	science	PROPN
esrj-66107	188	3	malaysia	malaysia	PROPN
esrj-66107	188	4	,	,	PUNCT
esrj-66107	188	5	1(2	1(2	NUM
esrj-66107	188	6	)	)	PUNCT
esrj-66107	188	7	,	,	PUNCT
esrj-66107	188	8	7	7	NUM
esrj-66107	188	9	-	-	SYM
esrj-66107	188	10	9	9	NUM
esrj-66107	188	11	.	.	PUNCT
esrj-66107	188	12	bata	bata	PROPN
esrj-66107	188	13	t.	t.	PROPN
esrj-66107	188	14	,	,	PUNCT
esrj-66107	188	15	samaila	samaila	PROPN
esrj-66107	188	16	,	,	PUNCT
esrj-66107	188	17	n.	n.	PROPN
esrj-66107	188	18	k.	k.	PROPN
esrj-66107	188	19	,	,	PUNCT
esrj-66107	188	20	maigari	maigari	PROPN
esrj-66107	188	21	,	,	PUNCT
esrj-66107	188	22	a.	a.	PROPN
esrj-66107	188	23	s.	s.	PROPN
esrj-66107	188	24	,	,	PUNCT
esrj-66107	188	25	abubakar	abubakar	PROPN
esrj-66107	188	26	,	,	PUNCT
esrj-66107	188	27	m.	m.	PROPN
esrj-66107	188	28	b.	b.	PROPN
esrj-66107	188	29	,	,	PUNCT
esrj-66107	188	30	&	&	CCONJ
esrj-66107	188	31	ikyoive	ikyoive	ADJ
esrj-66107	188	32	,	,	PUNCT
esrj-66107	188	33	s.	s.	PROPN
esrj-66107	188	34	y.	y.	PROPN
esrj-66107	188	35	(	(	PUNCT
esrj-66107	188	36	2017	2017	NUM
esrj-66107	188	37	)	)	PUNCT
esrj-66107	188	38	.	.	PUNCT
esrj-66107	189	1	common	common	ADJ
esrj-66107	189	2	occurences	occurence	NOUN
esrj-66107	189	3	of	of	ADP
esrj-66107	189	4	authentic	authentic	ADJ
esrj-66107	189	5	pyrite	pyrite	NOUN
esrj-66107	189	6	crystals	crystal	NOUN
esrj-66107	189	7	in	in	ADP
esrj-66107	189	8	cretaceous	cretaceous	ADJ
esrj-66107	189	9	oil	oil	NOUN
esrj-66107	189	10	sands	sand	NOUN
esrj-66107	189	11	as	as	ADP
esrj-66107	189	12	consequence	consequence	NOUN
esrj-66107	189	13	of	of	ADP
esrj-66107	189	14	biodegradation	biodegradation	NOUN
esrj-66107	189	15	processes	process	NOUN
esrj-66107	189	16	.	.	PUNCT
esrj-66107	190	1	geological	geological	ADJ
esrj-66107	190	2	behavior	behavior	NOUN
esrj-66107	190	3	,	,	PUNCT
esrj-66107	190	4	1(2	1(2	NUM
esrj-66107	190	5	)	)	PUNCT
esrj-66107	190	6	,	,	PUNCT
esrj-66107	190	7	26–30	26–30	NUM
esrj-66107	190	8	.	.	PUNCT
esrj-66107	191	1	boser	boser	PROPN
esrj-66107	191	2	,	,	PUNCT
esrj-66107	191	3	b.	b.	PROPN
esrj-66107	191	4	e.	e.	PROPN
esrj-66107	191	5	,	,	PUNCT
esrj-66107	191	6	guyon	guyon	PROPN
esrj-66107	191	7	,	,	PUNCT
esrj-66107	191	8	i.	i.	NOUN
esrj-66107	191	9	m.	m.	PROPN
esrj-66107	191	10	,	,	PUNCT
esrj-66107	191	11	&	&	CCONJ
esrj-66107	191	12	vapnik	vapnik	X
esrj-66107	191	13	,	,	PUNCT
esrj-66107	191	14	v.	v.	ADP
esrj-66107	191	15	n.	n.	PROPN
esrj-66107	191	16	(	(	PUNCT
esrj-66107	191	17	1992	1992	NUM
esrj-66107	191	18	)	)	PUNCT
esrj-66107	191	19	.	.	PUNCT
esrj-66107	192	1	a	a	DET
esrj-66107	192	2	training	training	NOUN
esrj-66107	192	3	algorithm	algorithm	NOUN
esrj-66107	192	4	for	for	ADP
esrj-66107	192	5	optimal	optimal	ADJ
esrj-66107	192	6	margin	margin	NOUN
esrj-66107	192	7	classifiers	classifier	NOUN
esrj-66107	192	8	.	.	PUNCT
esrj-66107	193	1	in	in	ADP
esrj-66107	193	2	:	:	PUNCT
esrj-66107	193	3	proceedings	proceeding	NOUN
esrj-66107	193	4	of	of	ADP
esrj-66107	193	5	the	the	DET
esrj-66107	193	6	fifth	fifth	ADJ
esrj-66107	193	7	annual	annual	ADJ
esrj-66107	193	8	workshop	workshop	NOUN
esrj-66107	193	9	on	on	ADP
esrj-66107	193	10	computational	computational	ADJ
esrj-66107	193	11	learning	learning	NOUN
esrj-66107	193	12	theory	theory	NOUN
esrj-66107	193	13	,	,	PUNCT
esrj-66107	193	14	pittsburgh	pittsburgh	PROPN
esrj-66107	193	15	,	,	PUNCT
esrj-66107	193	16	pp	pp	ADP
esrj-66107	193	17	.	.	PUNCT
esrj-66107	194	1	144–152	144–152	NUM
esrj-66107	194	2	.	.	PUNCT
esrj-66107	195	1	han	han	PROPN
esrj-66107	195	2	,	,	PUNCT
esrj-66107	195	3	m.	m.	NOUN
esrj-66107	195	4	,	,	PUNCT
esrj-66107	195	5	zhu	zhu	PROPN
esrj-66107	195	6	,	,	PUNCT
esrj-66107	195	7	x.	x.	PROPN
esrj-66107	195	8	,	,	PUNCT
esrj-66107	195	9	&	&	CCONJ
esrj-66107	195	10	yao	yao	PROPN
esrj-66107	195	11	,	,	PUNCT
esrj-66107	195	12	w.	w.	PROPN
esrj-66107	195	13	(	(	PUNCT
esrj-66107	195	14	2012	2012	NUM
esrj-66107	195	15	)	)	PUNCT
esrj-66107	195	16	.	.	PUNCT
esrj-66107	196	1	remote	remote	ADJ
esrj-66107	196	2	sensing	sense	VERB
esrj-66107	196	3	image	image	NOUN
esrj-66107	196	4	classification	classification	NOUN
esrj-66107	196	5	based	base	VERB
esrj-66107	196	6	on	on	ADP
esrj-66107	196	7	neural	neural	ADJ
esrj-66107	196	8	network	network	NOUN
esrj-66107	196	9	ensemble	ensemble	ADJ
esrj-66107	196	10	algorithm	algorithm	NOUN
esrj-66107	196	11	.	.	PUNCT
esrj-66107	197	1	neurocomputing	neurocomputing	NOUN
esrj-66107	197	2	,	,	PUNCT
esrj-66107	197	3	78	78	NUM
esrj-66107	197	4	(	(	PUNCT
esrj-66107	197	5	1	1	NUM
esrj-66107	197	6	)	)	PUNCT
esrj-66107	197	7	,	,	PUNCT
esrj-66107	197	8	133–138	133–138	NUM
esrj-66107	197	9	.	.	PUNCT
esrj-66107	198	1	hejazi	hejazi	PROPN
esrj-66107	198	2	,	,	PUNCT
esrj-66107	198	3	s.	s.	PROPN
esrj-66107	198	4	m.	m.	PROPN
esrj-66107	198	5	,	,	PUNCT
esrj-66107	198	6	lotfi	lotfi	PROPN
esrj-66107	198	7	,	,	PUNCT
esrj-66107	198	8	f.	f.	PROPN
esrj-66107	198	9	,	,	PUNCT
esrj-66107	198	10	fashandi	fashandi	PROPN
esrj-66107	198	11	,	,	PUNCT
esrj-66107	198	12	h.	h.	PROPN
esrj-66107	198	13	,	,	PUNCT
esrj-66107	198	14	&	&	CCONJ
esrj-66107	198	15	alirezazadeh	alirezazadeh	PROPN
esrj-66107	198	16	,	,	PUNCT
esrj-66107	198	17	a.	a.	NOUN
esrj-66107	198	18	(	(	PUNCT
esrj-66107	198	19	2017	2017	NUM
esrj-66107	198	20	)	)	PUNCT
esrj-66107	198	21	.	.	PUNCT
esrj-66107	199	1	serishm	serishm	PROPN
esrj-66107	199	2	:	:	PUNCT
esrj-66107	199	3	an	an	DET
esrj-66107	199	4	eco	eco	NOUN
esrj-66107	199	5	-	-	PUNCT
esrj-66107	199	6	friendly	friendly	ADJ
esrj-66107	199	7	and	and	CCONJ
esrj-66107	199	8	biodegradable	biodegradable	ADJ
esrj-66107	199	9	flame	flame	NOUN
esrj-66107	199	10	retardant	retardant	NOUN
esrj-66107	199	11	for	for	ADP
esrj-66107	199	12	fabrics	fabric	NOUN
esrj-66107	199	13	.	.	PUNCT
esrj-66107	200	1	environment	environment	NOUN
esrj-66107	200	2	ecosystem	ecosystem	PROPN
esrj-66107	200	3	science	science	PROPN
esrj-66107	200	4	,	,	PUNCT
esrj-66107	200	5	1(2	1(2	NUM
esrj-66107	200	6	)	)	PUNCT
esrj-66107	200	7	,	,	PUNCT
esrj-66107	200	8	05	05	NUM
esrj-66107	200	9	-	-	SYM
esrj-66107	200	10	08	08	NUM
esrj-66107	200	11	.	.	PUNCT
esrj-66107	201	1	hussin	hussin	PROPN
esrj-66107	201	2	,	,	PUNCT
esrj-66107	201	3	h.	h.	PROPN
esrj-66107	201	4	,	,	PUNCT
esrj-66107	201	5	fauzi	fauzi	PROPN
esrj-66107	201	6	,	,	PUNCT
esrj-66107	201	7	n.	n.	PROPN
esrj-66107	201	8	,	,	PUNCT
esrj-66107	201	9	jamaluddin	jamaluddin	ADV
esrj-66107	201	10	,	,	PUNCT
esrj-66107	201	11	t.	t.	PROPN
esrj-66107	201	12	a.	a.	PROPN
esrj-66107	201	13	,	,	PUNCT
esrj-66107	201	14	&	&	CCONJ
esrj-66107	201	15	arifin	arifin	PROPN
esrj-66107	201	16	,	,	PUNCT
esrj-66107	201	17	m.	m.	PROPN
esrj-66107	201	18	h.	h.	PROPN
esrj-66107	201	19	(	(	PUNCT
esrj-66107	201	20	2017	2017	NUM
esrj-66107	201	21	)	)	PUNCT
esrj-66107	201	22	.	.	PUNCT
esrj-66107	202	1	rock	rock	NOUN
esrj-66107	202	2	mass	mass	PROPN
esrj-66107	202	3	quality	quality	NOUN
esrj-66107	202	4	effected	effect	VERB
esrj-66107	202	5	by	by	ADP
esrj-66107	202	6	lineament	lineament	NOUN
esrj-66107	202	7	using	use	VERB
esrj-66107	202	8	rock	rock	NOUN
esrj-66107	202	9	mass	mass	NOUN
esrj-66107	202	10	rating	rating	NOUN
esrj-66107	202	11	(	(	PUNCT
esrj-66107	202	12	rmr	rmr	PROPN
esrj-66107	202	13	)	)	PUNCT
esrj-66107	202	14	–	–	PUNCT
esrj-66107	202	15	case	case	NOUN
esrj-66107	202	16	study	study	NOUN
esrj-66107	202	17	from	from	ADP
esrj-66107	202	18	former	former	ADJ
esrj-66107	202	19	quarry	quarry	NOUN
esrj-66107	202	20	site	site	NOUN
esrj-66107	202	21	.	.	PUNCT
esrj-66107	203	1	earth	earth	PROPN
esrj-66107	203	2	science	science	PROPN
esrj-66107	203	3	malaysia	malaysia	PROPN
esrj-66107	203	4	,	,	PUNCT
esrj-66107	203	5	1(2	1(2	NUM
esrj-66107	203	6	)	)	PUNCT
esrj-66107	203	7	,	,	PUNCT
esrj-66107	203	8	13	13	NUM
esrj-66107	203	9	-	-	SYM
esrj-66107	203	10	16	16	NUM
esrj-66107	203	11	.	.	PUNCT
esrj-66107	204	1	maleki	maleki	NOUN
esrj-66107	204	2	-	-	PUNCT
esrj-66107	204	3	ghelichi	ghelichi	PROPN
esrj-66107	204	4	,	,	PUNCT
esrj-66107	204	5	e.	e.	PROPN
esrj-66107	204	6	,	,	PUNCT
esrj-66107	204	7	&	&	CCONJ
esrj-66107	204	8	sharifi	sharifi	PROPN
esrj-66107	204	9	,	,	PUNCT
esrj-66107	204	10	m.	m.	NOUN
esrj-66107	204	11	(	(	PUNCT
esrj-66107	204	12	2017	2017	NUM
esrj-66107	204	13	)	)	PUNCT
esrj-66107	204	14	.	.	PUNCT
esrj-66107	205	1	prioritize	prioritize	VERB
esrj-66107	205	2	and	and	CCONJ
esrj-66107	205	3	choose	choose	VERB
esrj-66107	205	4	the	the	DET
esrj-66107	205	5	best	good	ADJ
esrj-66107	205	6	process	process	NOUN
esrj-66107	205	7	of	of	ADP
esrj-66107	205	8	anaerobic	anaerobic	ADJ
esrj-66107	205	9	digestion	digestion	NOUN
esrj-66107	205	10	to	to	PART
esrj-66107	205	11	produce	produce	VERB
esrj-66107	205	12	energy	energy	NOUN
esrj-66107	205	13	from	from	ADP
esrj-66107	205	14	biomass	biomass	NOUN
esrj-66107	205	15	using	use	VERB
esrj-66107	205	16	analytic	analytic	ADJ
esrj-66107	205	17	hierarchy	hierarchy	NOUN
esrj-66107	205	18	process	process	NOUN
esrj-66107	205	19	(	(	PUNCT
esrj-66107	205	20	ahp	ahp	NOUN
esrj-66107	205	21	)	)	PUNCT
esrj-66107	205	22	.	.	PUNCT
esrj-66107	206	1	geology	geology	NOUN
esrj-66107	206	2	,	,	PUNCT
esrj-66107	206	3	ecology	ecology	NOUN
esrj-66107	206	4	,	,	PUNCT
esrj-66107	206	5	and	and	CCONJ
esrj-66107	206	6	landscapes	landscape	NOUN
esrj-66107	206	7	,	,	PUNCT
esrj-66107	206	8	1(4	1(4	NUM
esrj-66107	206	9	)	)	PUNCT
esrj-66107	206	10	,	,	PUNCT
esrj-66107	206	11	219	219	NUM
esrj-66107	206	12	-	-	SYM
esrj-66107	206	13	224	224	NUM
esrj-66107	206	14	.	.	PUNCT
esrj-66107	207	1	moustakidis	moustakidis	PROPN
esrj-66107	207	2	,	,	PUNCT
esrj-66107	207	3	s.	s.	PROPN
esrj-66107	207	4	,	,	PUNCT
esrj-66107	207	5	mallinis	mallinis	NOUN
esrj-66107	207	6	,	,	PUNCT
esrj-66107	207	7	g.	g.	PROPN
esrj-66107	207	8	,	,	PUNCT
esrj-66107	207	9	koutsias	koutsias	PROPN
esrj-66107	207	10	,	,	PUNCT
esrj-66107	207	11	n.	n.	PROPN
esrj-66107	207	12	,	,	PUNCT
esrj-66107	207	13	theocharis	theocharis	PROPN
esrj-66107	207	14	,	,	PUNCT
esrj-66107	207	15	j.	j.	PROPN
esrj-66107	207	16	b.	b.	PROPN
esrj-66107	207	17	,	,	PUNCT
esrj-66107	207	18	&	&	CCONJ
esrj-66107	207	19	petridis	petridis	PROPN
esrj-66107	207	20	,	,	PUNCT
esrj-66107	207	21	v.	v.	PROPN
esrj-66107	207	22	(	(	PUNCT
esrj-66107	207	23	2012	2012	NUM
esrj-66107	207	24	)	)	PUNCT
esrj-66107	207	25	.	.	PUNCT
esrj-66107	208	1	svm	svm	ADJ
esrj-66107	208	2	-	-	PUNCT
esrj-66107	208	3	based	base	VERB
esrj-66107	208	4	fuzzy	fuzzy	ADJ
esrj-66107	208	5	decision	decision	NOUN
esrj-66107	208	6	trees	tree	NOUN
esrj-66107	208	7	for	for	ADP
esrj-66107	208	8	classification	classification	NOUN
esrj-66107	208	9	of	of	ADP
esrj-66107	208	10	high	high	ADJ
esrj-66107	208	11	spatial	spatial	ADJ
esrj-66107	208	12	resolution	resolution	NOUN
esrj-66107	208	13	remote	remote	ADJ
esrj-66107	208	14	sensing	sensing	NOUN
esrj-66107	208	15	images	image	NOUN
esrj-66107	208	16	.	.	PUNCT
esrj-66107	209	1	ieee	ieee	NOUN
esrj-66107	209	2	transactions	transaction	NOUN
esrj-66107	209	3	on	on	ADP
esrj-66107	209	4	geoscience	geoscience	NOUN
esrj-66107	209	5	and	and	CCONJ
esrj-66107	209	6	remote	remote	ADJ
esrj-66107	209	7	sensing	sensing	NOUN
esrj-66107	209	8	,	,	PUNCT
esrj-66107	209	9	50(1	50(1	NUM
esrj-66107	209	10	)	)	PUNCT
esrj-66107	209	11	,	,	PUNCT
esrj-66107	209	12	149–169	149–169	NUM
esrj-66107	209	13	.	.	PUNCT
esrj-66107	210	1	pedergnana	pedergnana	PROPN
esrj-66107	210	2	,	,	PUNCT
esrj-66107	210	3	m.	m.	NOUN
esrj-66107	210	4	,	,	PUNCT
esrj-66107	210	5	marpu	marpu	NOUN
esrj-66107	210	6	,	,	PUNCT
esrj-66107	210	7	p.	p.	PROPN
esrj-66107	210	8	r.	r.	PROPN
esrj-66107	210	9	,	,	PUNCT
esrj-66107	210	10	dalla	dalla	PROPN
esrj-66107	210	11	-	-	PUNCT
esrj-66107	210	12	mura	mura	NOUN
esrj-66107	210	13	,	,	PUNCT
esrj-66107	210	14	m.	m.	NOUN
esrj-66107	210	15	,	,	PUNCT
esrj-66107	210	16	benediktsson	benediktsson	PROPN
esrj-66107	210	17	,	,	PUNCT
esrj-66107	210	18	j.	j.	PROPN
esrj-66107	210	19	a.	a.	PROPN
esrj-66107	210	20	,	,	PUNCT
esrj-66107	210	21	&	&	CCONJ
esrj-66107	210	22	bruzzone	bruzzone	NOUN
esrj-66107	210	23	,	,	PUNCT
esrj-66107	210	24	l.	l.	PROPN
esrj-66107	210	25	(	(	PUNCT
esrj-66107	210	26	2013	2013	NUM
esrj-66107	210	27	)	)	PUNCT
esrj-66107	210	28	.	.	PUNCT
esrj-66107	211	1	a	a	DET
esrj-66107	211	2	novel	novel	ADJ
esrj-66107	211	3	technique	technique	NOUN
esrj-66107	211	4	for	for	ADP
esrj-66107	211	5	optimal	optimal	ADJ
esrj-66107	211	6	feature	feature	NOUN
esrj-66107	211	7	selection	selection	NOUN
esrj-66107	211	8	in	in	ADP
esrj-66107	211	9	attribute	attribute	NOUN
esrj-66107	211	10	profiles	profile	NOUN
esrj-66107	211	11	based	base	VERB
esrj-66107	211	12	on	on	ADP
esrj-66107	211	13	genetic	genetic	ADJ
esrj-66107	211	14	algorithms	algorithm	NOUN
esrj-66107	211	15	.	.	PUNCT
esrj-66107	212	1	ieee	ieee	NOUN
esrj-66107	212	2	transactions	transaction	NOUN
esrj-66107	212	3	on	on	ADP
esrj-66107	212	4	geoscience	geoscience	NOUN
esrj-66107	212	5	and	and	CCONJ
esrj-66107	212	6	remote	remote	ADJ
esrj-66107	212	7	sensing	sensing	NOUN
esrj-66107	212	8	,	,	PUNCT
esrj-66107	212	9	51(6	51(6	NOUN
esrj-66107	212	10	)	)	PUNCT
esrj-66107	212	11	,	,	PUNCT
esrj-66107	212	12	3514–3528	3514–3528	NUM
esrj-66107	212	13	.	.	PUNCT
esrj-66107	213	1	radan	radan	PROPN
esrj-66107	213	2	,	,	PUNCT
esrj-66107	213	3	a.	a.	NOUN
esrj-66107	213	4	,	,	PUNCT
esrj-66107	213	5	latifi	latifi	PROPN
esrj-66107	213	6	,	,	PUNCT
esrj-66107	213	7	m.	m.	NOUN
esrj-66107	213	8	,	,	PUNCT
esrj-66107	213	9	moshtaghie	moshtaghie	NOUN
esrj-66107	213	10	,	,	PUNCT
esrj-66107	213	11	m.	m.	NOUN
esrj-66107	213	12	,	,	PUNCT
esrj-66107	213	13	ahmadi	ahmadi	PROPN
esrj-66107	213	14	,	,	PUNCT
esrj-66107	213	15	m.	m.	NOUN
esrj-66107	213	16	&	&	CCONJ
esrj-66107	213	17	omidi	omidi	PROPN
esrj-66107	213	18	,	,	PUNCT
esrj-66107	213	19	m.	m.	NOUN
esrj-66107	213	20	(	(	PUNCT
esrj-66107	213	21	2017	2017	NUM
esrj-66107	213	22	)	)	PUNCT
esrj-66107	213	23	.	.	PUNCT
esrj-66107	214	1	determining	determine	VERB
esrj-66107	214	2	the	the	DET
esrj-66107	214	3	sensitive	sensitive	ADJ
esrj-66107	214	4	conservative	conservative	ADJ
esrj-66107	214	5	site	site	NOUN
esrj-66107	214	6	in	in	ADP
esrj-66107	214	7	kolah	kolah	PROPN
esrj-66107	214	8	ghazi	ghazi	PROPN
esrj-66107	214	9	national	national	PROPN
esrj-66107	214	10	park	park	PROPN
esrj-66107	214	11	,	,	PUNCT
esrj-66107	214	12	iran	iran	PROPN
esrj-66107	214	13	,	,	PUNCT
esrj-66107	214	14	in	in	ADP
esrj-66107	214	15	order	order	NOUN
esrj-66107	214	16	to	to	PART
esrj-66107	214	17	management	management	NOUN
esrj-66107	214	18	wildlife	wildlife	NOUN
esrj-66107	214	19	by	by	ADP
esrj-66107	214	20	using	use	VERB
esrj-66107	214	21	gis	gis	PROPN
esrj-66107	214	22	software	software	NOUN
esrj-66107	214	23	.	.	PUNCT
esrj-66107	215	1	environment	environment	NOUN
esrj-66107	215	2	ecosystem	ecosystem	PROPN
esrj-66107	215	3	science	science	PROPN
esrj-66107	215	4	,	,	PUNCT
esrj-66107	215	5	1(2	1(2	NUM
esrj-66107	215	6	)	)	PUNCT
esrj-66107	215	7	,	,	PUNCT
esrj-66107	215	8	13	13	NUM
esrj-66107	215	9	-	-	SYM
esrj-66107	215	10	15	15	NUM
esrj-66107	215	11	.	.	PUNCT
esrj-66107	216	1	rahman	rahman	PROPN
esrj-66107	216	2	,	,	PUNCT
esrj-66107	216	3	n.	n.	PROPN
esrj-66107	216	4	a.	a.	PROPN
esrj-66107	216	5	,	,	PUNCT
esrj-66107	216	6	tarmudi	tarmudi	PROPN
esrj-66107	216	7	,	,	PUNCT
esrj-66107	216	8	z.	z.	PROPN
esrj-66107	216	9	,	,	PUNCT
esrj-66107	216	10	rossdy	rossdy	PROPN
esrj-66107	216	11	,	,	PUNCT
esrj-66107	216	12	m.	m.	NOUN
esrj-66107	216	13	,	,	PUNCT
esrj-66107	216	14	&	&	CCONJ
esrj-66107	216	15	muhiddin	muhiddin	PROPN
esrj-66107	216	16	,	,	PUNCT
esrj-66107	216	17	f.	f.	PROPN
esrj-66107	216	18	a.	a.	PROPN
esrj-66107	217	1	(	(	PUNCT
esrj-66107	217	2	2017	2017	NUM
esrj-66107	217	3	)	)	PUNCT
esrj-66107	217	4	.	.	PUNCT
esrj-66107	218	1	flood	flood	NOUN
esrj-66107	218	2	mitigation	mitigation	NOUN
esrj-66107	218	3	measures	measure	NOUN
esrj-66107	218	4	using	use	VERB
esrj-66107	218	5	intuitionistic	intuitionistic	ADJ
esrj-66107	218	6	fuzzy	fuzzy	ADJ
esrj-66107	218	7	dematel	dematel	NOUN
esrj-66107	218	8	method	method	NOUN
esrj-66107	218	9	.	.	PUNCT
esrj-66107	219	1	malaysian	malaysian	ADJ
esrj-66107	219	2	journal	journal	PROPN
esrj-66107	219	3	geosciences	geoscience	NOUN
esrj-66107	219	4	,	,	PUNCT
esrj-66107	219	5	1(2	1(2	NUM
esrj-66107	219	6	)	)	PUNCT
esrj-66107	219	7	,	,	PUNCT
esrj-66107	219	8	01	01	NUM
esrj-66107	219	9	-	-	SYM
esrj-66107	219	10	05	05	NUM
esrj-66107	219	11	.	.	PUNCT
esrj-66107	220	1	roslee	roslee	PROPN
esrj-66107	220	2	,	,	PUNCT
esrj-66107	220	3	r.	r.	PROPN
esrj-66107	220	4	,	,	PUNCT
esrj-66107	220	5	mickey	mickey	PROPN
esrj-66107	220	6	,	,	PUNCT
esrj-66107	220	7	a.	a.	PROPN
esrj-66107	220	8	c.	c.	PROPN
esrj-66107	220	9	,	,	PUNCT
esrj-66107	220	10	simon	simon	PROPN
esrj-66107	220	11	,	,	PUNCT
esrj-66107	220	12	n.	n.	PROPN
esrj-66107	220	13	,	,	PUNCT
esrj-66107	220	14	norhisham	norhisham	PROPN
esrj-66107	220	15	,	,	PUNCT
esrj-66107	220	16	m.	m.	NOUN
esrj-66107	220	17	n.	n.	PROPN
esrj-66107	220	18	(	(	PUNCT
esrj-66107	220	19	2017	2017	NUM
esrj-66107	220	20	)	)	PUNCT
esrj-66107	220	21	.	.	PUNCT
esrj-66107	221	1	landslide	landslide	NOUN
esrj-66107	221	2	susceptibility	susceptibility	NOUN
esrj-66107	221	3	analysis	analysis	NOUN
esrj-66107	221	4	(	(	PUNCT
esrj-66107	221	5	lsa	lsa	NOUN
esrj-66107	221	6	)	)	PUNCT
esrj-66107	221	7	using	use	VERB
esrj-66107	221	8	weighted	weight	VERB
esrj-66107	221	9	overlay	overlay	NOUN
esrj-66107	221	10	method	method	NOUN
esrj-66107	221	11	(	(	PUNCT
esrj-66107	221	12	wom	wom	NOUN
esrj-66107	221	13	)	)	PUNCT
esrj-66107	221	14	along	along	ADP
esrj-66107	221	15	the	the	DET
esrj-66107	221	16	genting	genting	PROPN
esrj-66107	221	17	sempah	sempah	PROPN
esrj-66107	221	18	to	to	PART
esrj-66107	221	19	bentong	bentong	VERB
esrj-66107	221	20	highway	highway	PROPN
esrj-66107	221	21	,	,	PUNCT
esrj-66107	222	1	pahang	pahang	PROPN
esrj-66107	222	2	.	.	PROPN
esrj-66107	223	1	malaysian	malaysian	PROPN
esrj-66107	223	2	journal	journal	PROPN
esrj-66107	223	3	geosciences	geoscience	NOUN
esrj-66107	223	4	,	,	PUNCT
esrj-66107	223	5	1(2	1(2	NUM
esrj-66107	223	6	)	)	PUNCT
esrj-66107	223	7	,	,	PUNCT
esrj-66107	223	8	13	13	NUM
esrj-66107	223	9	-	-	SYM
esrj-66107	223	10	19	19	NUM
esrj-66107	223	11	.	.	PUNCT
esrj-66107	223	12	ruiz	ruiz	NOUN
esrj-66107	223	13	,	,	PUNCT
esrj-66107	223	14	p.	p.	NOUN
esrj-66107	223	15	,	,	PUNCT
esrj-66107	223	16	mateos	mateos	PROPN
esrj-66107	223	17	,	,	PUNCT
esrj-66107	223	18	j.	j.	PROPN
esrj-66107	223	19	,	,	PUNCT
esrj-66107	223	20	camps	camp	NOUN
esrj-66107	223	21	-	-	PUNCT
esrj-66107	223	22	valls	vall	NOUN
esrj-66107	223	23	,	,	PUNCT
esrj-66107	223	24	g.	g.	PROPN
esrj-66107	223	25	,	,	PUNCT
esrj-66107	223	26	molina	molina	PROPN
esrj-66107	223	27	,	,	PUNCT
esrj-66107	223	28	r.	r.	PROPN
esrj-66107	223	29	,	,	PUNCT
esrj-66107	223	30	&	&	CCONJ
esrj-66107	223	31	katsaggelos	katsaggelos	PROPN
esrj-66107	223	32	,	,	PUNCT
esrj-66107	223	33	a.	a.	PROPN
esrj-66107	223	34	k.	k.	PROPN
esrj-66107	223	35	(	(	PUNCT
esrj-66107	223	36	2014	2014	NUM
esrj-66107	223	37	)	)	PUNCT
esrj-66107	223	38	.	.	PUNCT
esrj-66107	224	1	bayesian	bayesian	NOUN
esrj-66107	224	2	active	active	ADJ
esrj-66107	224	3	remote	remote	ADJ
esrj-66107	224	4	sensing	sense	VERB
esrj-66107	224	5	image	image	NOUN
esrj-66107	224	6	classification	classification	NOUN
esrj-66107	224	7	.	.	PUNCT
esrj-66107	225	1	ieee	ieee	NOUN
esrj-66107	225	2	transactions	transaction	NOUN
esrj-66107	225	3	on	on	ADP
esrj-66107	225	4	geoscience	geoscience	NOUN
esrj-66107	225	5	and	and	CCONJ
esrj-66107	225	6	remote	remote	ADJ
esrj-66107	225	7	sensing	sensing	NOUN
esrj-66107	225	8	,	,	PUNCT
esrj-66107	225	9	52(4	52(4	NUM
esrj-66107	225	10	)	)	PUNCT
esrj-66107	225	11	,	,	PUNCT
esrj-66107	225	12	2186–2196	2186–2196	NUM
esrj-66107	225	13	.	.	PUNCT
esrj-66107	226	1	samadzadegan	samadzadegan	PROPN
esrj-66107	226	2	,	,	PUNCT
esrj-66107	226	3	f.	f.	PROPN
esrj-66107	226	4	,	,	PUNCT
esrj-66107	226	5	hasani	hasani	PROPN
esrj-66107	226	6	,	,	PUNCT
esrj-66107	226	7	h.	h.	PROPN
esrj-66107	226	8	,	,	PUNCT
esrj-66107	226	9	schenk	schenk	PROPN
esrj-66107	226	10	,	,	PUNCT
esrj-66107	226	11	t.	t.	PROPN
esrj-66107	226	12	(	(	PUNCT
esrj-66107	226	13	2012	2012	NUM
esrj-66107	226	14	)	)	PUNCT
esrj-66107	226	15	.	.	PUNCT
esrj-66107	227	1	simultaneous	simultaneous	ADJ
esrj-66107	227	2	feature	feature	NOUN
esrj-66107	227	3	selection	selection	NOUN
esrj-66107	227	4	and	and	CCONJ
esrj-66107	227	5	svm	svm	ADJ
esrj-66107	227	6	parameter	parameter	NOUN
esrj-66107	227	7	determination	determination	NOUN
esrj-66107	227	8	in	in	ADP
esrj-66107	227	9	classification	classification	NOUN
esrj-66107	227	10	of	of	ADP
esrj-66107	227	11	hyperspectral	hyperspectral	ADJ
esrj-66107	227	12	imagery	imagery	NOUN
esrj-66107	227	13	using	use	VERB
esrj-66107	227	14	ant	ant	ADJ
esrj-66107	227	15	colony	colony	NOUN
esrj-66107	227	16	optimization	optimization	NOUN
esrj-66107	227	17	.	.	PUNCT
esrj-66107	228	1	canadian	canadian	ADJ
esrj-66107	228	2	journal	journal	NOUN
esrj-66107	228	3	of	of	ADP
esrj-66107	228	4	remote	remote	ADJ
esrj-66107	228	5	sensing	sensing	NOUN
esrj-66107	228	6	,	,	PUNCT
esrj-66107	228	7	38(2	38(2	NOUN
esrj-66107	228	8	)	)	PUNCT
esrj-66107	228	9	,	,	PUNCT
esrj-66107	228	10	138–156	138–156	NUM
esrj-66107	228	11	.	.	PUNCT
esrj-66107	229	1	shahzad	shahzad	PROPN
esrj-66107	229	2	,	,	PUNCT
esrj-66107	229	3	a.	a.	PROPN
esrj-66107	229	4	,	,	PUNCT
esrj-66107	229	5	munir	munir	PROPN
esrj-66107	229	6	,	,	PUNCT
esrj-66107	229	7	m.	m.	PROPN
esrj-66107	229	8	h.	h.	PROPN
esrj-66107	229	9	,	,	PUNCT
esrj-66107	229	10	yasin	yasin	PROPN
esrj-66107	229	11	,	,	PUNCT
esrj-66107	229	12	m.	m.	NOUN
esrj-66107	229	13	,	,	PUNCT
esrj-66107	229	14	umar	umar	PROPN
esrj-66107	229	15	,	,	PUNCT
esrj-66107	229	16	m.	m.	NOUN
esrj-66107	229	17	,	,	PUNCT
esrj-66107	229	18	rameez	rameez	PROPN
esrj-66107	229	19	,	,	PUNCT
esrj-66107	229	20	s.	s.	PROPN
esrj-66107	229	21	,	,	PUNCT
esrj-66107	229	22	samad	samad	PROPN
esrj-66107	229	23	,	,	PUNCT
esrj-66107	229	24	r.	r.	PROPN
esrj-66107	229	25	,	,	PUNCT
esrj-66107	229	26	altaf	altaf	PROPN
esrj-66107	229	27	,	,	PUNCT
esrj-66107	229	28	s.	s.	PROPN
esrj-66107	229	29	,	,	PUNCT
esrj-66107	229	30	&	&	CCONJ
esrj-66107	229	31	sarfraz	sarfraz	PROPN
esrj-66107	229	32	,	,	PUNCT
esrj-66107	229	33	y.	y.	PROPN
esrj-66107	229	34	(	(	PUNCT
esrj-66107	229	35	2017	2017	NUM
esrj-66107	229	36	)	)	PUNCT
esrj-66107	229	37	.	.	PUNCT
esrj-66107	230	1	biostratigraphy	biostratigraphy	NOUN
esrj-66107	230	2	of	of	ADP
esrj-66107	230	3	early	early	ADJ
esrj-66107	230	4	eocene	eocene	PROPN
esrj-66107	230	5	margala	margala	PROPN
esrj-66107	230	6	hill	hill	PROPN
esrj-66107	230	7	limestone	limestone	PROPN
esrj-66107	230	8	in	in	ADP
esrj-66107	230	9	the	the	DET
esrj-66107	230	10	muzaffarabad	muzaffarabad	ADJ
esrj-66107	230	11	area	area	NOUN
esrj-66107	230	12	(	(	PUNCT
esrj-66107	230	13	kashmir	kashmir	PROPN
esrj-66107	230	14	basin	basin	PROPN
esrj-66107	230	15	,	,	PUNCT
esrj-66107	230	16	azad	azad	PROPN
esrj-66107	230	17	jammu	jammu	PROPN
esrj-66107	230	18	and	and	CCONJ
esrj-66107	230	19	kashmir	kashmir	PROPN
esrj-66107	230	20	)	)	PUNCT
esrj-66107	230	21	.	.	PUNCT
esrj-66107	231	1	pakistan	pakistan	PROPN
esrj-66107	231	2	journal	journal	PROPN
esrj-66107	231	3	of	of	ADP
esrj-66107	231	4	geology	geology	NOUN
esrj-66107	231	5	,	,	PUNCT
esrj-66107	231	6	1(2	1(2	NUM
esrj-66107	231	7	)	)	PUNCT
esrj-66107	231	8	,	,	PUNCT
esrj-66107	231	9	16–20	16–20	NUM
esrj-66107	231	10	.	.	PUNCT
esrj-66107	232	1	simon	simon	PROPN
esrj-66107	232	2	,	,	PUNCT
esrj-66107	232	3	n.	n.	NOUN
esrj-66107	232	4	,	,	PUNCT
esrj-66107	232	5	roslee	roslee	PROPN
esrj-66107	232	6	,	,	PUNCT
esrj-66107	232	7	r.	r.	PROPN
esrj-66107	232	8	,	,	PUNCT
esrj-66107	232	9	&	&	CCONJ
esrj-66107	232	10	lai	lai	PROPN
esrj-66107	232	11	,	,	PUNCT
esrj-66107	232	12	g.	g.	PROPN
esrj-66107	232	13	t.	t.	PROPN
esrj-66107	232	14	(	(	PUNCT
esrj-66107	232	15	2017	2017	NUM
esrj-66107	232	16	)	)	PUNCT
esrj-66107	232	17	.	.	PUNCT
esrj-66107	233	1	temporal	temporal	ADJ
esrj-66107	233	2	landslide	landslide	NOUN
esrj-66107	233	3	susceptibility	susceptibility	NOUN
esrj-66107	233	4	assessment	assessment	NOUN
esrj-66107	233	5	using	use	VERB
esrj-66107	233	6	landslide	landslide	NOUN
esrj-66107	233	7	density	density	NOUN
esrj-66107	233	8	technique	technique	NOUN
esrj-66107	233	9	.	.	PUNCT
esrj-66107	234	1	geological	geological	ADJ
esrj-66107	234	2	behavior	behavior	NOUN
esrj-66107	234	3	,	,	PUNCT
esrj-66107	234	4	1(2	1(2	NUM
esrj-66107	234	5	)	)	PUNCT
esrj-66107	234	6	,	,	PUNCT
esrj-66107	234	7	10–13	10–13	NUM
esrj-66107	234	8	.	.	PUNCT
esrj-66107	235	1	stumpf	stumpf	PROPN
esrj-66107	235	2	,	,	PUNCT
esrj-66107	235	3	a.	a.	PROPN
esrj-66107	235	4	,	,	PUNCT
esrj-66107	235	5	lachiche	lachiche	PROPN
esrj-66107	235	6	,	,	PUNCT
esrj-66107	235	7	n.	n.	PROPN
esrj-66107	235	8	,	,	PUNCT
esrj-66107	235	9	malet	malet	PROPN
esrj-66107	235	10	,	,	PUNCT
esrj-66107	235	11	j.	j.	PROPN
esrj-66107	235	12	p.	p.	PROPN
esrj-66107	235	13	,	,	PUNCT
esrj-66107	235	14	kerle	kerle	NOUN
esrj-66107	235	15	,	,	PUNCT
esrj-66107	235	16	n.	n.	NOUN
esrj-66107	235	17	,	,	PUNCT
esrj-66107	235	18	puissant	puissant	NOUN
esrj-66107	235	19	,	,	PUNCT
esrj-66107	235	20	a.	a.	PROPN
esrj-66107	235	21	(	(	PUNCT
esrj-66107	235	22	2014	2014	NUM
esrj-66107	235	23	)	)	PUNCT
esrj-66107	235	24	.	.	PUNCT
esrj-66107	236	1	active	active	ADJ
esrj-66107	236	2	learning	learning	NOUN
esrj-66107	236	3	in	in	ADP
esrj-66107	236	4	the	the	DET
esrj-66107	236	5	spatial	spatial	ADJ
esrj-66107	236	6	domain	domain	NOUN
esrj-66107	236	7	for	for	ADP
esrj-66107	236	8	remote	remote	ADJ
esrj-66107	236	9	sensing	sense	VERB
esrj-66107	236	10	image	image	NOUN
esrj-66107	236	11	classification	classification	NOUN
esrj-66107	236	12	.	.	PUNCT
esrj-66107	237	1	ieee	ieee	NOUN
esrj-66107	237	2	transactions	transaction	NOUN
esrj-66107	237	3	on	on	ADP
esrj-66107	237	4	geoscience	geoscience	NOUN
esrj-66107	237	5	and	and	CCONJ
esrj-66107	237	6	remote	remote	ADJ
esrj-66107	237	7	sensing	sensing	NOUN
esrj-66107	237	8	,	,	PUNCT
esrj-66107	237	9	52(5	52(5	NUM
esrj-66107	237	10	)	)	PUNCT
esrj-66107	237	11	,	,	PUNCT
esrj-66107	237	12	2492–2507	2492–2507	NUM
esrj-66107	237	13	.	.	PUNCT
esrj-66107	238	1	tariq	tariq	PROPN
esrj-66107	238	2	,	,	PUNCT
esrj-66107	238	3	w.	w.	PROPN
esrj-66107	238	4	,	,	PUNCT
esrj-66107	238	5	hussain	hussain	PROPN
esrj-66107	238	6	,	,	PUNCT
esrj-66107	238	7	s.	s.	PROPN
esrj-66107	238	8	q.	q.	PROPN
esrj-66107	238	9	,	,	PUNCT
esrj-66107	238	10	nasir	nasir	PROPN
esrj-66107	238	11	,	,	PUNCT
esrj-66107	238	12	d.	d.	PROPN
esrj-66107	238	13	a.	a.	PROPN
esrj-66107	238	14	,	,	PUNCT
esrj-66107	238	15	tayyab	tayyab	PROPN
esrj-66107	238	16	,	,	PUNCT
esrj-66107	238	17	n.	n.	NOUN
esrj-66107	238	18	,	,	PUNCT
esrj-66107	238	19	gillani	gillani	PROPN
esrj-66107	238	20	,	,	PUNCT
esrj-66107	238	21	s.	s.	PROPN
esrj-66107	238	22	h.	h.	PROPN
esrj-66107	238	23	,	,	PUNCT
esrj-66107	238	24	&	&	CCONJ
esrj-66107	238	25	rafiq	rafiq	PROPN
esrj-66107	238	26	,	,	PUNCT
esrj-66107	238	27	a.	a.	NOUN
esrj-66107	238	28	(	(	PUNCT
esrj-66107	238	29	2017	2017	NUM
esrj-66107	238	30	)	)	PUNCT
esrj-66107	238	31	.	.	PUNCT
esrj-66107	239	1	experimental	experimental	ADJ
esrj-66107	239	2	study	study	NOUN
esrj-66107	239	3	on	on	ADP
esrj-66107	239	4	strength	strength	NOUN
esrj-66107	239	5	and	and	CCONJ
esrj-66107	239	6	durability	durability	NOUN
esrj-66107	239	7	of	of	ADP
esrj-66107	239	8	cement	cement	NOUN
esrj-66107	239	9	and	and	CCONJ
esrj-66107	239	10	concrete	concrete	NOUN
esrj-66107	239	11	by	by	ADP
esrj-66107	239	12	partial	partial	ADJ
esrj-66107	239	13	replacement	replacement	NOUN
esrj-66107	239	14	of	of	ADP
esrj-66107	239	15	fine	fine	ADJ
esrj-66107	239	16	aggegate	aggegate	NOUN
esrj-66107	239	17	with	with	ADP
esrj-66107	239	18	fly	fly	NOUN
esrj-66107	239	19	ash	ash	NOUN
esrj-66107	239	20	.	.	PUNCT
esrj-66107	240	1	earth	earth	PROPN
esrj-66107	240	2	sciences	sciences	PROPN
esrj-66107	240	3	pakistan	pakistan	PROPN
esrj-66107	240	4	,	,	PUNCT
esrj-66107	240	5	1(2	1(2	NUM
esrj-66107	240	6	)	)	PUNCT
esrj-66107	240	7	,	,	PUNCT
esrj-66107	240	8	07	07	NUM
esrj-66107	240	9	-	-	SYM
esrj-66107	240	10	11	11	NUM
esrj-66107	240	11	.	.	PUNCT
esrj-66107	241	1	wang	wang	PROPN
esrj-66107	241	2	,	,	PUNCT
esrj-66107	241	3	q.	q.	PROPN
esrj-66107	241	4	,	,	PUNCT
esrj-66107	241	5	lin	lin	PROPN
esrj-66107	241	6	,	,	PUNCT
esrj-66107	241	7	j.	j.	PROPN
esrj-66107	241	8	,	,	PUNCT
esrj-66107	241	9	&	&	CCONJ
esrj-66107	241	10	yuan	yuan	PROPN
esrj-66107	241	11	,	,	PUNCT
esrj-66107	241	12	y.	y.	PROPN
esrj-66107	241	13	(	(	PUNCT
esrj-66107	241	14	2016	2016	NUM
esrj-66107	241	15	)	)	PUNCT
esrj-66107	241	16	.	.	PUNCT
esrj-66107	242	1	salient	salient	NOUN
esrj-66107	242	2	band	band	NOUN
esrj-66107	242	3	selection	selection	NOUN
esrj-66107	242	4	for	for	ADP
esrj-66107	242	5	hyper	hyper	ADJ
esrj-66107	242	6	spectral	spectral	ADJ
esrj-66107	242	7	image	image	NOUN
esrj-66107	242	8	classification	classification	NOUN
esrj-66107	242	9	via	via	ADP
esrj-66107	242	10	manifold	manifold	ADJ
esrj-66107	242	11	ranking	ranking	NOUN
esrj-66107	242	12	.	.	PUNCT
esrj-66107	243	1	ieee	ieee	NOUN
esrj-66107	243	2	transactions	transaction	NOUN
esrj-66107	243	3	on	on	ADP
esrj-66107	243	4	neural	neural	ADJ
esrj-66107	243	5	networks	network	NOUN
esrj-66107	243	6	and	and	CCONJ
esrj-66107	243	7	learning	learn	VERB
esrj-66107	243	8	system	system	NOUN
esrj-66107	243	9	,	,	PUNCT
esrj-66107	243	10	27	27	NUM
esrj-66107	243	11	(	(	PUNCT
esrj-66107	243	12	6	6	NUM
esrj-66107	243	13	)	)	PUNCT
esrj-66107	243	14	,	,	PUNCT
esrj-66107	243	15	1279–1289	1279–1289	NUM
esrj-66107	243	16	.	.	PUNCT
esrj-66107	244	1	xu	xu	PROPN
esrj-66107	244	2	,	,	PUNCT
esrj-66107	244	3	l.	l.	PROPN
esrj-66107	244	4	,	,	PUNCT
esrj-66107	244	5	li	li	PROPN
esrj-66107	244	6	,	,	PUNCT
esrj-66107	244	7	y.	y.	PROPN
esrj-66107	244	8	p.	p.	PROPN
esrj-66107	244	9	,	,	PUNCT
esrj-66107	244	10	li	li	PROPN
esrj-66107	244	11	,	,	PUNCT
esrj-66107	244	12	q.	q.	PROPN
esrj-66107	244	13	m.	m.	PROPN
esrj-66107	244	14	,	,	PUNCT
esrj-66107	244	15	yang	yang	PROPN
esrj-66107	244	16	,	,	PUNCT
esrj-66107	244	17	y.	y.	PROPN
esrj-66107	244	18	w.	w.	PROPN
esrj-66107	244	19	,	,	PUNCT
esrj-66107	244	20	tang	tang	PROPN
esrj-66107	244	21	,	,	PUNCT
esrj-66107	244	22	z.	z.	PROPN
esrj-66107	244	23	m.	m.	PROPN
esrj-66107	244	24	,	,	PUNCT
esrj-66107	244	25	&	&	CCONJ
esrj-66107	244	26	zhang	zhang	PROPN
esrj-66107	244	27	,	,	PUNCT
esrj-66107	244	28	x.	x.	PROPN
esrj-66107	244	29	f.	f.	PROPN
esrj-66107	244	30	(	(	PUNCT
esrj-66107	244	31	2015	2015	NUM
esrj-66107	244	32	)	)	PUNCT
esrj-66107	244	33	.	.	PUNCT
esrj-66107	245	1	proportional	proportional	ADJ
esrj-66107	245	2	fair	fair	ADJ
esrj-66107	245	3	resource	resource	NOUN
esrj-66107	245	4	allocation	allocation	NOUN
esrj-66107	245	5	based	base	VERB
esrj-66107	245	6	on	on	ADP
esrj-66107	245	7	hybrid	hybrid	ADJ
esrj-66107	245	8	ant	ant	ADJ
esrj-66107	245	9	colony	colony	NOUN
esrj-66107	245	10	optimization	optimization	NOUN
esrj-66107	245	11	for	for	ADP
esrj-66107	245	12	slow	slow	ADJ
esrj-66107	245	13	adaptive	adaptive	ADJ
esrj-66107	245	14	ofdma	ofdma	NOUN
esrj-66107	245	15	system	system	NOUN
esrj-66107	245	16	.	.	PUNCT
esrj-66107	246	1	information	information	NOUN
esrj-66107	246	2	sciences	sciences	PROPN
esrj-66107	246	3	,	,	PUNCT
esrj-66107	246	4	293	293	NUM
esrj-66107	246	5	,	,	PUNCT
esrj-66107	246	6	1–10	1–10	NOUN
esrj-66107	246	7	.	.	PUNCT
esrj-66107	247	1	yasin	yasin	PROPN
esrj-66107	247	2	,	,	PUNCT
esrj-66107	247	3	m.	m.	NOUN
esrj-66107	247	4	,	,	PUNCT
esrj-66107	247	5	shahzad	shahzad	PROPN
esrj-66107	247	6	,	,	PUNCT
esrj-66107	247	7	a.	a.	PROPN
esrj-66107	247	8	,	,	PUNCT
esrj-66107	247	9	abbasi	abbasi	PROPN
esrj-66107	247	10	,	,	PUNCT
esrj-66107	247	11	n.	n.	PROPN
esrj-66107	247	12	,	,	PUNCT
esrj-66107	247	13	ijaz	ijaz	PROPN
esrj-66107	247	14	,	,	PUNCT
esrj-66107	247	15	u.	u.	PROPN
esrj-66107	247	16	,	,	PUNCT
esrj-66107	247	17	&	&	CCONJ
esrj-66107	247	18	khattak	khattak	PROPN
esrj-66107	247	19	,	,	PUNCT
esrj-66107	247	20	z.	z.	PROPN
esrj-66107	247	21	(	(	PUNCT
esrj-66107	247	22	2017	2017	NUM
esrj-66107	247	23	)	)	PUNCT
esrj-66107	247	24	.	.	PUNCT
esrj-66107	248	1	the	the	DET
esrj-66107	248	2	use	use	NOUN
esrj-66107	248	3	of	of	ADP
esrj-66107	248	4	stratigraphic	stratigraphic	ADJ
esrj-66107	248	5	section	section	NOUN
esrj-66107	248	6	in	in	ADP
esrj-66107	248	7	recording	recording	NOUN
esrj-66107	248	8	quagmire	quagmire	NOUN
esrj-66107	248	9	of	of	ADP
esrj-66107	248	10	information	information	NOUN
esrj-66107	248	11	for	for	ADP
esrj-66107	248	12	the	the	DET
esrj-66107	248	13	fluvial	fluvial	ADJ
esrj-66107	248	14	depositional	depositional	ADJ
esrj-66107	248	15	environment	environment	NOUN
esrj-66107	248	16	–	–	PUNCT
esrj-66107	248	17	a	a	DET
esrj-66107	248	18	worked	work	VERB
esrj-66107	248	19	example	example	NOUN
esrj-66107	248	20	in	in	ADP
esrj-66107	248	21	district	district	NOUN
esrj-66107	248	22	poonch	poonch	NOUN
esrj-66107	248	23	,	,	PUNCT
esrj-66107	248	24	azad	azad	PROPN
esrj-66107	248	25	jammu	jammu	PROPN
esrj-66107	248	26	and	and	CCONJ
esrj-66107	248	27	kashmir	kashmir	PROPN
esrj-66107	248	28	,	,	PUNCT
esrj-66107	248	29	pakistan	pakistan	PROPN
esrj-66107	248	30	.	.	PUNCT
esrj-66107	249	1	pakistan	pakistan	PROPN
esrj-66107	249	2	journal	journal	PROPN
esrj-66107	249	3	of	of	ADP
esrj-66107	249	4	geology	geology	NOUN
esrj-66107	249	5	,	,	PUNCT
esrj-66107	249	6	1(2	1(2	NUM
esrj-66107	249	7	)	)	PUNCT
esrj-66107	249	8	,	,	PUNCT
esrj-66107	249	9	01	01	NUM
esrj-66107	249	10	-	-	SYM
esrj-66107	249	11	02	02	NUM
esrj-66107	249	12	.	.	PUNCT
esrj-66107	250	1	zhai	zhai	PROPN
esrj-66107	250	2	,	,	PUNCT
esrj-66107	250	3	s.	s.	PROPN
esrj-66107	250	4	,	,	PUNCT
esrj-66107	250	5	&	&	CCONJ
esrj-66107	250	6	jiang	jiang	PROPN
esrj-66107	250	7	,	,	PUNCT
esrj-66107	250	8	t.	t.	PROPN
esrj-66107	250	9	(	(	PUNCT
esrj-66107	250	10	2014	2014	NUM
esrj-66107	250	11	)	)	PUNCT
esrj-66107	250	12	.	.	PUNCT
esrj-66107	251	1	a	a	DET
esrj-66107	251	2	novel	novel	ADJ
esrj-66107	251	3	particle	particle	NOUN
esrj-66107	251	4	swarm	swarm	NOUN
esrj-66107	251	5	optimization	optimization	NOUN
esrj-66107	251	6	trained	train	VERB
esrj-66107	251	7	support	support	NOUN
esrj-66107	251	8	vector	vector	NOUN
esrj-66107	251	9	machine	machine	NOUN
esrj-66107	251	10	for	for	ADP
esrj-66107	251	11	automatic	automatic	ADJ
esrj-66107	251	12	sense	sense	NOUN
esrj-66107	251	13	-	-	PUNCT
esrj-66107	251	14	through	through	ADP
esrj-66107	251	15	-	-	PUNCT
esrj-66107	251	16	foliage	foliage	NOUN
esrj-66107	251	17	target	target	NOUN
esrj-66107	251	18	recognition	recognition	NOUN
esrj-66107	251	19	system	system	NOUN
esrj-66107	251	20	.	.	PUNCT
esrj-66107	252	1	knowledge	knowledge	NOUN
esrj-66107	252	2	-	-	PUNCT
esrj-66107	252	3	based	base	VERB
esrj-66107	252	4	systems	system	NOUN
esrj-66107	252	5	,	,	PUNCT
esrj-66107	252	6	65	65	NUM
esrj-66107	252	7	,	,	PUNCT
esrj-66107	252	8	50–59	50–59	NUM
esrj-66107	252	9	.	.	PUNCT
esrj-66107	253	1	zhong	zhong	PROPN
esrj-66107	253	2	,	,	PUNCT
esrj-66107	253	3	y.	y.	PROPN
esrj-66107	253	4	,	,	PUNCT
esrj-66107	253	5	&	&	CCONJ
esrj-66107	253	6	zhang	zhang	PROPN
esrj-66107	253	7	,	,	PUNCT
esrj-66107	253	8	l.	l.	PROPN
esrj-66107	253	9	(	(	PUNCT
esrj-66107	253	10	2012	2012	NUM
esrj-66107	253	11	)	)	PUNCT
esrj-66107	253	12	.	.	PUNCT
esrj-66107	254	1	an	an	DET
esrj-66107	254	2	adaptive	adaptive	ADJ
esrj-66107	254	3	artificial	artificial	ADJ
esrj-66107	254	4	immune	immune	ADJ
esrj-66107	254	5	network	network	NOUN
esrj-66107	254	6	for	for	ADP
esrj-66107	254	7	supervised	supervised	ADJ
esrj-66107	254	8	classification	classification	NOUN
esrj-66107	254	9	of	of	ADP
esrj-66107	254	10	multi-/hyperspectral	multi-/hyperspectral	ADJ
esrj-66107	254	11	remote	remote	ADJ
esrj-66107	254	12	sensing	sense	VERB
esrj-66107	254	13	imagery	imagery	NOUN
esrj-66107	254	14	.	.	PUNCT
esrj-66107	255	1	ieee	ieee	NOUN
esrj-66107	255	2	transactions	transaction	NOUN
esrj-66107	255	3	on	on	ADP
esrj-66107	255	4	geoscience	geoscience	NOUN
esrj-66107	255	5	and	and	CCONJ
esrj-66107	255	6	remote	remote	ADJ
esrj-66107	255	7	sensing	sensing	NOUN
esrj-66107	255	8	,	,	PUNCT
esrj-66107	255	9	50(3	50(3	NUM
esrj-66107	255	10	)	)	PUNCT
esrj-66107	255	11	,	,	PUNCT
esrj-66107	255	12	894–909	894–909	NUM
esrj-66107	255	13	.	.	PUNCT