id	sid	tid	token	lemma	pos
hjic-222	1	1	microsoft	microsoft	PROPN
hjic-222	1	2	word	word	NOUN
hjic-222	1	3	1_r.doc	1_r.doc	NUM
hjic-222	1	4	hungarian	hungarian	ADJ
hjic-222	1	5	journal	journal	NOUN
hjic-222	1	6	of	of	ADP
hjic-222	1	7	industrial	industrial	ADJ
hjic-222	1	8	chemistry	chemistry	NOUN
hjic-222	1	9	veszprém	veszprém	NOUN
hjic-222	1	10	vol	vol	NOUN
hjic-222	1	11	.	.	PROPN
hjic-222	1	12	37(1	37(1	NUM
hjic-222	1	13	)	)	PUNCT
hjic-222	1	14	.	.	PUNCT
hjic-222	2	1	pp	pp	ADV
hjic-222	2	2	.	.	PUNCT
hjic-222	3	1	59	59	NUM
hjic-222	3	2	-	-	SYM
hjic-222	3	3	67	67	NUM
hjic-222	3	4	(	(	PUNCT
hjic-222	3	5	2009	2009	NUM
hjic-222	3	6	)	)	PUNCT
hjic-222	3	7	pca	pca	NOUN
hjic-222	3	8	driven	drive	VERB
hjic-222	3	9	similarity	similarity	NOUN
hjic-222	3	10	for	for	ADP
hjic-222	3	11	segmented	segment	VERB
hjic-222	3	12	univariate	univariate	ADJ
hjic-222	3	13	time	time	NOUN
hjic-222	3	14	series	series	PROPN
hjic-222	3	15	z.	z.	PROPN
hjic-222	3	16	bankó	bankó	PROPN
hjic-222	3	17	,	,	PUNCT
hjic-222	3	18	j.	j.	PROPN
hjic-222	3	19	abonyi	abonyi	PROPN
hjic-222	3	20	university	university	PROPN
hjic-222	3	21	of	of	ADP
hjic-222	3	22	pannonia	pannonia	PROPN
hjic-222	3	23	,	,	PUNCT
hjic-222	3	24	department	department	NOUN
hjic-222	3	25	of	of	ADP
hjic-222	3	26	process	process	NOUN
hjic-222	3	27	engineering	engineering	NOUN
hjic-222	3	28	,	,	PUNCT
hjic-222	3	29	p.o	p.o	PROPN
hjic-222	3	30	.	.	PROPN
hjic-222	3	31	box	box	PROPN
hjic-222	3	32	158	158	NUM
hjic-222	3	33	.	.	PUNCT
hjic-222	4	1	veszprém	veszprém	NOUN
hjic-222	4	2	h-8200	h-8200	PROPN
hjic-222	4	3	,	,	PUNCT
hjic-222	4	4	hungary	hungary	NOUN
hjic-222	4	5	e	e	NOUN
hjic-222	4	6	-	-	NOUN
hjic-222	4	7	mail	mail	NOUN
hjic-222	4	8	:	:	PUNCT
hjic-222	4	9	abonyij@fmt.uni-pannon.hu	abonyij@fmt.uni-pannon.hu	PROPN
hjic-222	4	10	selection	selection	NOUN
hjic-222	4	11	of	of	ADP
hjic-222	4	12	the	the	DET
hjic-222	4	13	proper	proper	ADJ
hjic-222	4	14	similarity	similarity	NOUN
hjic-222	4	15	measure	measure	NOUN
hjic-222	4	16	is	be	AUX
hjic-222	4	17	the	the	DET
hjic-222	4	18	cornerstone	cornerstone	NOUN
hjic-222	4	19	of	of	ADP
hjic-222	4	20	all	all	DET
hjic-222	4	21	time	time	NOUN
hjic-222	4	22	series	series	PROPN
hjic-222	4	23	data	data	PROPN
hjic-222	4	24	mining	mining	NOUN
hjic-222	4	25	task	task	NOUN
hjic-222	4	26	.	.	PUNCT
hjic-222	5	1	in	in	ADP
hjic-222	5	2	the	the	DET
hjic-222	5	3	recent	recent	ADJ
hjic-222	5	4	years	year	NOUN
hjic-222	5	5	,	,	PUNCT
hjic-222	5	6	many	many	ADJ
hjic-222	5	7	similarity	similarity	NOUN
hjic-222	5	8	measures	measure	NOUN
hjic-222	5	9	have	have	AUX
hjic-222	5	10	been	be	AUX
hjic-222	5	11	introduced	introduce	VERB
hjic-222	5	12	to	to	PART
hjic-222	5	13	fulfill	fulfill	VERB
hjic-222	5	14	the	the	DET
hjic-222	5	15	needs	need	NOUN
hjic-222	5	16	of	of	ADP
hjic-222	5	17	chemical	chemical	NOUN
hjic-222	5	18	process	process	NOUN
hjic-222	5	19	engineering	engineering	NOUN
hjic-222	5	20	.	.	PUNCT
hjic-222	6	1	these	these	DET
hjic-222	6	2	measures	measure	NOUN
hjic-222	6	3	have	have	AUX
hjic-222	6	4	been	be	AUX
hjic-222	6	5	guided	guide	VERB
hjic-222	6	6	by	by	ADP
hjic-222	6	7	data	datum	NOUN
hjic-222	6	8	reduction	reduction	NOUN
hjic-222	6	9	methods	method	NOUN
hjic-222	6	10	due	due	ADP
hjic-222	6	11	to	to	ADP
hjic-222	6	12	the	the	DET
hjic-222	6	13	large	large	ADJ
hjic-222	6	14	amount	amount	NOUN
hjic-222	6	15	of	of	ADP
hjic-222	6	16	data	datum	NOUN
hjic-222	6	17	.	.	PUNCT
hjic-222	7	1	this	this	DET
hjic-222	7	2	data	data	NOUN
hjic-222	7	3	reduction	reduction	NOUN
hjic-222	7	4	can	can	AUX
hjic-222	7	5	be	be	AUX
hjic-222	7	6	done	do	VERB
hjic-222	7	7	explicitly	explicitly	ADV
hjic-222	7	8	(	(	PUNCT
hjic-222	7	9	by	by	ADP
hjic-222	7	10	segmentation	segmentation	NOUN
hjic-222	7	11	)	)	PUNCT
hjic-222	7	12	as	as	ADV
hjic-222	7	13	well	well	ADV
hjic-222	7	14	as	as	ADP
hjic-222	7	15	implicitly	implicitly	ADV
hjic-222	7	16	(	(	PUNCT
hjic-222	7	17	by	by	ADP
hjic-222	7	18	utilizing	utilize	VERB
hjic-222	7	19	the	the	DET
hjic-222	7	20	latent	latent	ADJ
hjic-222	7	21	variable	variable	ADJ
hjic-222	7	22	space	space	NOUN
hjic-222	7	23	)	)	PUNCT
hjic-222	7	24	.	.	PUNCT
hjic-222	8	1	usually	usually	ADV
hjic-222	8	2	,	,	PUNCT
hjic-222	8	3	the	the	DET
hjic-222	8	4	original	original	ADJ
hjic-222	8	5	multivariate	multivariate	NOUN
hjic-222	8	6	data	datum	NOUN
hjic-222	8	7	is	be	AUX
hjic-222	8	8	projected	project	VERB
hjic-222	8	9	into	into	ADP
hjic-222	8	10	a	a	DET
hjic-222	8	11	single	single	ADJ
hjic-222	8	12	dimension	dimension	NOUN
hjic-222	8	13	with	with	ADP
hjic-222	8	14	principal	principal	ADJ
hjic-222	8	15	component	component	NOUN
hjic-222	8	16	analysis	analysis	NOUN
hjic-222	8	17	(	(	PUNCT
hjic-222	8	18	pca	pca	NOUN
hjic-222	8	19	)	)	PUNCT
hjic-222	8	20	and	and	CCONJ
hjic-222	8	21	segmentation	segmentation	NOUN
hjic-222	8	22	is	be	AUX
hjic-222	8	23	executed	execute	VERB
hjic-222	8	24	.	.	PUNCT
hjic-222	9	1	however	however	ADV
hjic-222	9	2	,	,	PUNCT
hjic-222	9	3	the	the	DET
hjic-222	9	4	similarity	similarity	NOUN
hjic-222	9	5	measures	measure	NOUN
hjic-222	9	6	which	which	PRON
hjic-222	9	7	have	have	AUX
hjic-222	9	8	been	be	AUX
hjic-222	9	9	used	use	VERB
hjic-222	9	10	to	to	PART
hjic-222	9	11	compare	compare	VERB
hjic-222	9	12	univariate	univariate	ADJ
hjic-222	9	13	,	,	PUNCT
hjic-222	9	14	segmented	segment	VERB
hjic-222	9	15	representations	representation	NOUN
hjic-222	9	16	of	of	ADP
hjic-222	9	17	the	the	DET
hjic-222	9	18	original	original	ADJ
hjic-222	9	19	processes	process	NOUN
hjic-222	9	20	do	do	AUX
hjic-222	9	21	not	not	PART
hjic-222	9	22	consider	consider	VERB
hjic-222	9	23	that	that	SCONJ
hjic-222	9	24	the	the	DET
hjic-222	9	25	main	main	ADJ
hjic-222	9	26	information	information	NOUN
hjic-222	9	27	carried	carry	VERB
hjic-222	9	28	by	by	ADP
hjic-222	9	29	the	the	DET
hjic-222	9	30	univariate	univariate	ADJ
hjic-222	9	31	representations	representation	NOUN
hjic-222	9	32	is	be	AUX
hjic-222	9	33	the	the	DET
hjic-222	9	34	correlation	correlation	NOUN
hjic-222	9	35	of	of	ADP
hjic-222	9	36	the	the	DET
hjic-222	9	37	original	original	ADJ
hjic-222	9	38	variables	variable	NOUN
hjic-222	9	39	.	.	PUNCT
hjic-222	10	1	this	this	DET
hjic-222	10	2	paper	paper	NOUN
hjic-222	10	3	introduces	introduce	VERB
hjic-222	10	4	a	a	DET
hjic-222	10	5	pca	pca	NOUN
hjic-222	10	6	inspired	inspire	VERB
hjic-222	10	7	similarity	similarity	NOUN
hjic-222	10	8	measure	measure	NOUN
hjic-222	10	9	for	for	ADP
hjic-222	10	10	these	these	DET
hjic-222	10	11	univariate	univariate	ADJ
hjic-222	10	12	segments	segment	NOUN
hjic-222	10	13	.	.	PUNCT
hjic-222	11	1	finally	finally	ADV
hjic-222	11	2	,	,	PUNCT
hjic-222	11	3	it	it	PRON
hjic-222	11	4	is	be	AUX
hjic-222	11	5	shown	show	VERB
hjic-222	11	6	that	that	SCONJ
hjic-222	11	7	the	the	DET
hjic-222	11	8	presented	present	VERB
hjic-222	11	9	method	method	NOUN
hjic-222	11	10	can	can	AUX
hjic-222	11	11	be	be	AUX
hjic-222	11	12	considered	consider	VERB
hjic-222	11	13	as	as	ADP
hjic-222	11	14	the	the	DET
hjic-222	11	15	logical	logical	ADJ
hjic-222	11	16	extension	extension	NOUN
hjic-222	11	17	of	of	ADP
hjic-222	11	18	the	the	DET
hjic-222	11	19	correlation	correlation	NOUN
hjic-222	11	20	based	base	VERB
hjic-222	11	21	dynamic	dynamic	ADJ
hjic-222	11	22	time	time	NOUN
hjic-222	11	23	warping	warp	VERB
hjic-222	11	24	(	(	PUNCT
hjic-222	11	25	cbdtw	cbdtw	NOUN
hjic-222	11	26	)	)	PUNCT
hjic-222	11	27	to	to	PART
hjic-222	11	28	univariate	univariate	VERB
hjic-222	11	29	time	time	NOUN
hjic-222	11	30	series	series	NOUN
hjic-222	11	31	.	.	PUNCT
hjic-222	12	1	keywords	keyword	NOUN
hjic-222	12	2	:	:	PUNCT
hjic-222	12	3	segmentation	segmentation	NOUN
hjic-222	12	4	,	,	PUNCT
hjic-222	12	5	dynamic	dynamic	ADJ
hjic-222	12	6	time	time	NOUN
hjic-222	12	7	warping	warping	NOUN
hjic-222	12	8	,	,	PUNCT
hjic-222	12	9	principal	principal	ADJ
hjic-222	12	10	component	component	NOUN
hjic-222	12	11	analysis	analysis	NOUN
hjic-222	12	12	,	,	PUNCT
hjic-222	12	13	piecewise	piecewise	NOUN
hjic-222	12	14	linear	linear	ADJ
hjic-222	12	15	approximation	approximation	NOUN
hjic-222	12	16	introduction	introduction	NOUN
hjic-222	12	17	a	a	DET
hjic-222	12	18	time	time	NOUN
hjic-222	12	19	series	series	NOUN
hjic-222	12	20	is	be	AUX
hjic-222	12	21	a	a	DET
hjic-222	12	22	sequence	sequence	NOUN
hjic-222	12	23	of	of	ADP
hjic-222	12	24	values	value	NOUN
hjic-222	12	25	measured	measure	VERB
hjic-222	12	26	as	as	ADP
hjic-222	12	27	a	a	DET
hjic-222	12	28	function	function	NOUN
hjic-222	12	29	of	of	ADP
hjic-222	12	30	time	time	NOUN
hjic-222	12	31	.	.	PUNCT
hjic-222	13	1	these	these	DET
hjic-222	13	2	kinds	kind	NOUN
hjic-222	13	3	of	of	ADP
hjic-222	13	4	data	datum	NOUN
hjic-222	13	5	are	be	AUX
hjic-222	13	6	widely	widely	ADV
hjic-222	13	7	used	use	VERB
hjic-222	13	8	in	in	ADP
hjic-222	13	9	the	the	DET
hjic-222	13	10	field	field	NOUN
hjic-222	13	11	of	of	ADP
hjic-222	13	12	chemical	chemical	NOUN
hjic-222	13	13	process	process	NOUN
hjic-222	13	14	engineering	engineering	NOUN
hjic-222	13	15	,	,	PUNCT
hjic-222	13	16	namely	namely	ADV
hjic-222	13	17	for	for	ADP
hjic-222	13	18	process	process	NOUN
hjic-222	13	19	control	control	NOUN
hjic-222	13	20	,	,	PUNCT
hjic-222	13	21	fault	fault	VERB
hjic-222	13	22	detection	detection	NOUN
hjic-222	13	23	and	and	CCONJ
hjic-222	13	24	analysis	analysis	NOUN
hjic-222	13	25	of	of	ADP
hjic-222	13	26	process	process	NOUN
hjic-222	13	27	transitions	transition	NOUN
hjic-222	13	28	.	.	PUNCT
hjic-222	14	1	the	the	DET
hjic-222	14	2	increasing	increase	VERB
hjic-222	14	3	popularity	popularity	NOUN
hjic-222	14	4	of	of	ADP
hjic-222	14	5	knowledge	knowledge	NOUN
hjic-222	14	6	discovery	discovery	NOUN
hjic-222	14	7	and	and	CCONJ
hjic-222	14	8	data	datum	NOUN
hjic-222	14	9	mining	mining	NOUN
hjic-222	14	10	tasks	task	NOUN
hjic-222	14	11	for	for	ADP
hjic-222	14	12	discrete	discrete	ADJ
hjic-222	14	13	data	datum	NOUN
hjic-222	14	14	has	have	AUX
hjic-222	14	15	indicated	indicate	VERB
hjic-222	14	16	the	the	DET
hjic-222	14	17	growing	grow	VERB
hjic-222	14	18	need	need	NOUN
hjic-222	14	19	for	for	ADP
hjic-222	14	20	similarly	similarly	ADV
hjic-222	14	21	efficient	efficient	ADJ
hjic-222	14	22	methods	method	NOUN
hjic-222	14	23	for	for	ADP
hjic-222	14	24	time	time	NOUN
hjic-222	14	25	series	series	PROPN
hjic-222	14	26	data	data	PROPN
hjic-222	14	27	.	.	PUNCT
hjic-222	15	1	these	these	DET
hjic-222	15	2	tasks	task	NOUN
hjic-222	15	3	share	share	VERB
hjic-222	15	4	a	a	DET
hjic-222	15	5	common	common	ADJ
hjic-222	15	6	requirement	requirement	NOUN
hjic-222	15	7	:	:	PUNCT
hjic-222	15	8	a	a	DET
hjic-222	15	9	similarity	similarity	NOUN
hjic-222	15	10	measure	measure	NOUN
hjic-222	15	11	has	have	VERB
hjic-222	15	12	to	to	PART
hjic-222	15	13	be	be	AUX
hjic-222	15	14	defined	define	VERB
hjic-222	15	15	between	between	ADP
hjic-222	15	16	the	the	DET
hjic-222	15	17	elements	element	NOUN
hjic-222	15	18	of	of	ADP
hjic-222	15	19	a	a	DET
hjic-222	15	20	given	give	VERB
hjic-222	15	21	database	database	NOUN
hjic-222	15	22	.	.	PUNCT
hjic-222	16	1	moreover	moreover	ADV
hjic-222	16	2	,	,	PUNCT
hjic-222	16	3	the	the	DET
hjic-222	16	4	results	result	NOUN
hjic-222	16	5	of	of	ADP
hjic-222	16	6	the	the	DET
hjic-222	16	7	data	data	NOUN
hjic-222	16	8	mining	mining	NOUN
hjic-222	16	9	methods	method	NOUN
hjic-222	16	10	from	from	ADP
hjic-222	16	11	simple	simple	ADJ
hjic-222	16	12	clustering	clustering	NOUN
hjic-222	16	13	(	(	PUNCT
hjic-222	16	14	partitioning	partition	VERB
hjic-222	16	15	the	the	DET
hjic-222	16	16	data	datum	NOUN
hjic-222	16	17	into	into	ADP
hjic-222	16	18	coherent	coherent	ADJ
hjic-222	16	19	but	but	CCONJ
hjic-222	16	20	not	not	PART
hjic-222	16	21	predefined	predefine	VERB
hjic-222	16	22	subsets	subset	NOUN
hjic-222	16	23	)	)	PUNCT
hjic-222	16	24	and	and	CCONJ
hjic-222	16	25	classification	classification	NOUN
hjic-222	16	26	(	(	PUNCT
hjic-222	16	27	placing	place	VERB
hjic-222	16	28	the	the	DET
hjic-222	16	29	data	datum	NOUN
hjic-222	16	30	into	into	ADP
hjic-222	16	31	predefined	predefine	VERB
hjic-222	16	32	,	,	PUNCT
hjic-222	16	33	labelled	label	VERB
hjic-222	16	34	groups	group	NOUN
hjic-222	16	35	)	)	PUNCT
hjic-222	16	36	to	to	ADP
hjic-222	16	37	complex	complex	ADJ
hjic-222	16	38	decision	decision	NOUN
hjic-222	16	39	-	-	PUNCT
hjic-222	16	40	making	make	VERB
hjic-222	16	41	systems	system	NOUN
hjic-222	16	42	used	use	VERB
hjic-222	16	43	for	for	ADP
hjic-222	16	44	process	process	NOUN
hjic-222	16	45	control	control	NOUN
hjic-222	16	46	are	be	AUX
hjic-222	16	47	highly	highly	ADV
hjic-222	16	48	dependent	dependent	ADJ
hjic-222	16	49	on	on	ADP
hjic-222	16	50	the	the	DET
hjic-222	16	51	applied	apply	VERB
hjic-222	16	52	similarity	similarity	NOUN
hjic-222	16	53	measure	measure	NOUN
hjic-222	16	54	.	.	PUNCT
hjic-222	17	1	related	relate	VERB
hjic-222	17	2	work	work	NOUN
hjic-222	17	3	the	the	DET
hjic-222	17	4	similarity	similarity	NOUN
hjic-222	17	5	of	of	ADP
hjic-222	17	6	multivariate	multivariate	NOUN
hjic-222	17	7	time	time	NOUN
hjic-222	17	8	series	series	PROPN
hjic-222	17	9	can	can	AUX
hjic-222	17	10	be	be	AUX
hjic-222	17	11	approached	approach	VERB
hjic-222	17	12	from	from	ADP
hjic-222	17	13	two	two	NUM
hjic-222	17	14	different	different	ADJ
hjic-222	17	15	perspectives	perspective	NOUN
hjic-222	17	16	.	.	PUNCT
hjic-222	18	1	the	the	DET
hjic-222	18	2	first	first	ADJ
hjic-222	18	3	way	way	NOUN
hjic-222	18	4	is	be	AUX
hjic-222	18	5	the	the	DET
hjic-222	18	6	application	application	NOUN
hjic-222	18	7	of	of	ADP
hjic-222	18	8	metrics	metric	NOUN
hjic-222	18	9	based	base	VERB
hjic-222	18	10	warping	warp	VERB
hjic-222	18	11	measures	measure	NOUN
hjic-222	18	12	such	such	ADJ
hjic-222	18	13	as	as	ADP
hjic-222	18	14	dynamic	dynamic	ADJ
hjic-222	18	15	time	time	NOUN
hjic-222	18	16	warping	warp	VERB
hjic-222	18	17	(	(	PUNCT
hjic-222	18	18	dtw	dtw	PROPN
hjic-222	18	19	)	)	PUNCT
hjic-222	18	20	and	and	CCONJ
hjic-222	18	21	longest	long	ADJ
hjic-222	18	22	common	common	ADJ
hjic-222	18	23	subsequence	subsequence	NOUN
hjic-222	18	24	(	(	PUNCT
hjic-222	18	25	lcss	lcss	PROPN
hjic-222	18	26	)	)	PUNCT
hjic-222	18	27	.	.	PUNCT
hjic-222	19	1	these	these	DET
hjic-222	19	2	techniques	technique	NOUN
hjic-222	19	3	are	be	AUX
hjic-222	19	4	perfectly	perfectly	ADV
hjic-222	19	5	suitable	suitable	ADJ
hjic-222	19	6	for	for	ADP
hjic-222	19	7	univariate	univariate	ADJ
hjic-222	19	8	tasks	task	NOUN
hjic-222	19	9	like	like	ADP
hjic-222	19	10	speech	speech	NOUN
hjic-222	19	11	recognition	recognition	NOUN
hjic-222	19	12	,	,	PUNCT
hjic-222	19	13	where	where	SCONJ
hjic-222	19	14	the	the	DET
hjic-222	19	15	analyzed	analyze	VERB
hjic-222	19	16	process	process	NOUN
hjic-222	19	17	is	be	AUX
hjic-222	19	18	represented	represent	VERB
hjic-222	19	19	by	by	ADP
hjic-222	19	20	only	only	ADV
hjic-222	19	21	one	one	NUM
hjic-222	19	22	variable	variable	NOUN
hjic-222	19	23	.	.	PUNCT
hjic-222	20	1	in	in	ADP
hjic-222	20	2	most	most	ADJ
hjic-222	20	3	cases	case	NOUN
hjic-222	20	4	,	,	PUNCT
hjic-222	20	5	these	these	DET
hjic-222	20	6	methods	method	NOUN
hjic-222	20	7	can	can	AUX
hjic-222	20	8	be	be	AUX
hjic-222	20	9	easily	easily	ADV
hjic-222	20	10	generalized	generalize	VERB
hjic-222	20	11	for	for	ADP
hjic-222	20	12	the	the	DET
hjic-222	20	13	needs	need	NOUN
hjic-222	20	14	of	of	ADP
hjic-222	20	15	the	the	DET
hjic-222	20	16	multivariate	multivariate	NOUN
hjic-222	20	17	time	time	NOUN
hjic-222	20	18	series	series	PROPN
hjic-222	20	19	where	where	SCONJ
hjic-222	20	20	the	the	DET
hjic-222	20	21	process	process	NOUN
hjic-222	20	22	depends	depend	VERB
hjic-222	20	23	on	on	ADP
hjic-222	20	24	two	two	NUM
hjic-222	20	25	or	or	CCONJ
hjic-222	20	26	more	more	ADJ
hjic-222	20	27	variables	variable	NOUN
hjic-222	20	28	.	.	PUNCT
hjic-222	21	1	however	however	ADV
hjic-222	21	2	,	,	PUNCT
hjic-222	21	3	their	their	PRON
hjic-222	21	4	application	application	NOUN
hjic-222	21	5	for	for	ADP
hjic-222	21	6	correlated	correlate	VERB
hjic-222	21	7	multivariate	multivariate	NOUN
hjic-222	21	8	time	time	NOUN
hjic-222	21	9	series	series	NOUN
hjic-222	21	10	is	be	AUX
hjic-222	21	11	often	often	ADV
hjic-222	21	12	not	not	PART
hjic-222	21	13	as	as	ADV
hjic-222	21	14	effective	effective	ADJ
hjic-222	21	15	as	as	SCONJ
hjic-222	21	16	it	it	PRON
hjic-222	21	17	is	be	AUX
hjic-222	21	18	expected	expect	VERB
hjic-222	21	19	.	.	PUNCT
hjic-222	22	1	the	the	DET
hjic-222	22	2	direct	direct	ADJ
hjic-222	22	3	comparison	comparison	NOUN
hjic-222	22	4	of	of	ADP
hjic-222	22	5	the	the	DET
hjic-222	22	6	variables	variable	NOUN
hjic-222	22	7	used	use	VERB
hjic-222	22	8	by	by	ADP
hjic-222	22	9	these	these	DET
hjic-222	22	10	approaches	approach	NOUN
hjic-222	22	11	ignores	ignore	VERB
hjic-222	22	12	the	the	DET
hjic-222	22	13	hidden	hide	VERB
hjic-222	22	14	process	process	NOUN
hjic-222	22	15	,	,	PUNCT
hjic-222	22	16	i.e.	i.e.	X
hjic-222	22	17	the	the	DET
hjic-222	22	18	correlation	correlation	NOUN
hjic-222	22	19	between	between	ADP
hjic-222	22	20	the	the	DET
hjic-222	22	21	process	process	NOUN
hjic-222	22	22	variables	variable	NOUN
hjic-222	22	23	and	and	CCONJ
hjic-222	22	24	this	this	DET
hjic-222	22	25	hidden	hide	VERB
hjic-222	22	26	process	process	NOUN
hjic-222	22	27	carries	carry	VERB
hjic-222	22	28	the	the	DET
hjic-222	22	29	real	real	ADJ
hjic-222	22	30	information	information	NOUN
hjic-222	22	31	in	in	ADP
hjic-222	22	32	most	most	ADJ
hjic-222	22	33	process	process	NOUN
hjic-222	22	34	control	control	NOUN
hjic-222	22	35	task	task	NOUN
hjic-222	22	36	[	[	X
hjic-222	22	37	1	1	NUM
hjic-222	22	38	]	]	PUNCT
hjic-222	22	39	.	.	PUNCT
hjic-222	23	1	hence	hence	ADV
hjic-222	23	2	,	,	PUNCT
hjic-222	23	3	principal	principal	ADJ
hjic-222	23	4	component	component	NOUN
hjic-222	23	5	analysis	analysis	NOUN
hjic-222	23	6	(	(	PUNCT
hjic-222	23	7	pca	pca	NOUN
hjic-222	23	8	)	)	PUNCT
hjic-222	23	9	based	base	VERB
hjic-222	23	10	similarity	similarity	NOUN
hjic-222	23	11	measures	measure	NOUN
hjic-222	23	12	are	be	AUX
hjic-222	23	13	used	use	VERB
hjic-222	23	14	to	to	PART
hjic-222	23	15	overcome	overcome	VERB
hjic-222	23	16	this	this	DET
hjic-222	23	17	problem	problem	NOUN
hjic-222	23	18	.	.	PUNCT
hjic-222	24	1	krzanowski	krzanowski	PROPN
hjic-222	25	1	[	[	X
hjic-222	25	2	2	2	X
hjic-222	25	3	]	]	PUNCT
hjic-222	25	4	defined	define	VERB
hjic-222	25	5	the	the	DET
hjic-222	25	6	pca	pca	NOUN
hjic-222	25	7	similarity	similarity	NOUN
hjic-222	25	8	factor	factor	NOUN
hjic-222	25	9	to	to	PART
hjic-222	25	10	measure	measure	VERB
hjic-222	25	11	the	the	DET
hjic-222	25	12	similarity	similarity	NOUN
hjic-222	25	13	between	between	ADP
hjic-222	25	14	different	different	ADJ
hjic-222	25	15	data	datum	NOUN
hjic-222	25	16	by	by	ADP
hjic-222	25	17	comparing	compare	VERB
hjic-222	25	18	the	the	DET
hjic-222	25	19	hyperplanes	hyperplane	NOUN
hjic-222	25	20	(	(	PUNCT
hjic-222	25	21	the	the	DET
hjic-222	25	22	dimensionality	dimensionality	NOUN
hjic-222	25	23	reduced	reduce	VERB
hjic-222	25	24	latent	latent	NOUN
hjic-222	25	25	variable	variable	ADJ
hjic-222	25	26	spaces	space	NOUN
hjic-222	25	27	):	):	PUNCT
hjic-222	25	28	p	p	ADJ
hjic-222	25	29	uuuutr	uuuutr	NOUN
hjic-222	25	30	yxs	yxs	PROPN
hjic-222	25	31	px	px	PROPN
hjic-222	25	32	t	t	PROPN
hjic-222	25	33	pypy	pypy	PROPN
hjic-222	25	34	t	t	PROPN
hjic-222	25	35	px	px	PROPN
hjic-222	25	36	nnpca	nnpca	PROPN
hjic-222	25	37	nnnn	nnnn	PROPN
hjic-222	25	38	)	)	PUNCT
hjic-222	25	39	(	(	PUNCT
hjic-222	25	40	)	)	PUNCT
hjic-222	25	41	,	,	PUNCT
hjic-222	25	42	(	(	PUNCT
hjic-222	25	43	,	,	PUNCT
hjic-222	25	44	,	,	PUNCT
hjic-222	25	45	,	,	PUNCT
hjic-222	25	46	,	,	PUNCT
hjic-222	25	47	=	=	PUNCT
hjic-222	25	48	where	where	SCONJ
hjic-222	25	49	:	:	PUNCT
hjic-222	25	50	xn	xn	PROPN
hjic-222	25	51	–	–	PUNCT
hjic-222	25	52	the	the	DET
hjic-222	25	53	first	first	ADJ
hjic-222	25	54	n	n	CCONJ
hjic-222	25	55	-	-	PUNCT
hjic-222	25	56	variable	variable	ADJ
hjic-222	25	57	multivariate	multivariate	NOUN
hjic-222	25	58	time	time	NOUN
hjic-222	25	59	series	series	PROPN
hjic-222	25	60	yn	yn	PROPN
hjic-222	25	61	–	–	PUNCT
hjic-222	25	62	the	the	DET
hjic-222	25	63	second	second	ADJ
hjic-222	25	64	n	n	CCONJ
hjic-222	25	65	-	-	PUNCT
hjic-222	25	66	variable	variable	ADJ
hjic-222	25	67	multivariate	multivariate	NOUN
hjic-222	25	68	time	time	NOUN
hjic-222	25	69	series	series	PROPN
hjic-222	25	70	uxn	uxn	PROPN
hjic-222	25	71	,	,	PUNCT
hjic-222	25	72	p	p	NOUN
hjic-222	25	73	and	and	CCONJ
hjic-222	25	74	uyn	uyn	NOUN
hjic-222	25	75	,	,	PUNCT
hjic-222	25	76	p	p	X
hjic-222	25	77	–	–	PUNCT
hjic-222	25	78	the	the	DET
hjic-222	25	79	matrices	matrix	NOUN
hjic-222	25	80	of	of	ADP
hjic-222	25	81	eigenvectors	eigenvector	NOUN
hjic-222	25	82	which	which	PRON
hjic-222	25	83	belong	belong	VERB
hjic-222	25	84	to	to	ADP
hjic-222	25	85	the	the	DET
hjic-222	25	86	most	most	ADV
hjic-222	25	87	important	important	ADJ
hjic-222	25	88	p	p	NOUN
hjic-222	25	89	≤	≤	NOUN
hjic-222	25	90	n	n	PRON
hjic-222	25	91	eigenvalues	eigenvalue	NOUN
hjic-222	25	92	of	of	ADP
hjic-222	25	93	covariance	covariance	NOUN
hjic-222	25	94	matrices	matrix	NOUN
hjic-222	25	95	of	of	ADP
hjic-222	25	96	xn	xn	PROPN
hjic-222	25	97	and	and	CCONJ
hjic-222	25	98	yn	yn	PROPN
hjic-222	25	99	,	,	PUNCT
hjic-222	25	100	i.e.	i.e.	X
hjic-222	25	101	the	the	DET
hjic-222	25	102	two	two	NUM
hjic-222	25	103	hyperplanes	hyperplane	NOUN
hjic-222	25	104	.	.	PUNCT
hjic-222	26	1	the	the	DET
hjic-222	26	2	similarity	similarity	NOUN
hjic-222	26	3	factor	factor	NOUN
hjic-222	26	4	has	have	VERB
hjic-222	26	5	a	a	DET
hjic-222	26	6	geometrical	geometrical	ADJ
hjic-222	26	7	explanation	explanation	NOUN
hjic-222	26	8	,	,	PUNCT
hjic-222	26	9	because	because	SCONJ
hjic-222	26	10	it	it	PRON
hjic-222	26	11	measures	measure	VERB
hjic-222	26	12	the	the	DET
hjic-222	26	13	similarity	similarity	NOUN
hjic-222	26	14	between	between	ADP
hjic-222	26	15	the	the	DET
hjic-222	26	16	two	two	NUM
hjic-222	26	17	hyperplanes	hyperplane	NOUN
hjic-222	26	18	by	by	ADP
hjic-222	26	19	computing	compute	VERB
hjic-222	26	20	the	the	DET
hjic-222	26	21	squared	squared	ADJ
hjic-222	26	22	cosine	cosine	NOUN
hjic-222	26	23	values	value	NOUN
hjic-222	26	24	between	between	ADP
hjic-222	26	25	all	all	DET
hjic-222	26	26	the	the	DET
hjic-222	26	27	combinations	combination	NOUN
hjic-222	26	28	of	of	ADP
hjic-222	26	29	the	the	DET
hjic-222	26	30	first	first	ADJ
hjic-222	26	31	p	p	NOUN
hjic-222	26	32	principal	principal	ADJ
hjic-222	26	33	components	component	NOUN
hjic-222	26	34	from	from	ADP
hjic-222	26	35	xn	xn	PROPN
hjic-222	26	36	and	and	CCONJ
hjic-222	26	37	yn	yn	PRON
hjic-222	26	38	:	:	PUNCT
hjic-222	26	39	∑∑	∑∑	PROPN
hjic-222	26	40	=	=	PUNCT
hjic-222	27	1	=	=	PUNCT
hjic-222	27	2	=	=	PUNCT
hjic-222	28	1	p	p	X
hjic-222	29	1	i	i	PRON
hjic-222	29	2	p	p	PROPN
hjic-222	29	3	j	j	PROPN
hjic-222	29	4	jinnpca	jinnpca	PROPN
hjic-222	29	5	p	p	PROPN
hjic-222	29	6	yxs	yxs	PROPN
hjic-222	29	7	1	1	NUM
hjic-222	29	8	1	1	NUM
hjic-222	29	9	,	,	PUNCT
hjic-222	29	10	2cos1	2cos1	NUM
hjic-222	29	11	)	)	PUNCT
hjic-222	29	12	,	,	PUNCT
hjic-222	29	13	(	(	PUNCT
hjic-222	29	14	θ	θ	PROPN
hjic-222	29	15	60	60	NUM
hjic-222	29	16	where	where	SCONJ
hjic-222	29	17	:	:	PUNCT
hjic-222	29	18	θi	θi	X
hjic-222	29	19	,	,	PUNCT
hjic-222	29	20	j	j	PROPN
hjic-222	29	21	–	–	PUNCT
hjic-222	29	22	the	the	DET
hjic-222	29	23	angle	angle	NOUN
hjic-222	29	24	between	between	ADP
hjic-222	29	25	the	the	DET
hjic-222	29	26	ith	ith	PROPN
hjic-222	29	27	principal	principal	ADJ
hjic-222	29	28	component	component	NOUN
hjic-222	29	29	of	of	ADP
hjic-222	29	30	xn	xn	PROPN
hjic-222	29	31	and	and	CCONJ
hjic-222	29	32	the	the	DET
hjic-222	29	33	jth	jth	PROPN
hjic-222	29	34	principal	principal	PROPN
hjic-222	29	35	component	component	NOUN
hjic-222	29	36	of	of	ADP
hjic-222	29	37	yn	yn	PROPN
hjic-222	29	38	.	.	PUNCT
hjic-222	30	1	the	the	DET
hjic-222	30	2	main	main	ADJ
hjic-222	30	3	advantage	advantage	NOUN
hjic-222	30	4	of	of	ADP
hjic-222	30	5	krzanowski	krzanowski	PROPN
hjic-222	30	6	's	's	PART
hjic-222	30	7	similarity	similarity	NOUN
hjic-222	30	8	factor	factor	NOUN
hjic-222	30	9	is	be	AUX
hjic-222	30	10	its	its	PRON
hjic-222	30	11	optimal	optimal	ADJ
hjic-222	30	12	variable	variable	ADJ
hjic-222	30	13	reduction	reduction	NOUN
hjic-222	30	14	property	property	NOUN
hjic-222	30	15	(	(	PUNCT
hjic-222	30	16	from	from	ADP
hjic-222	30	17	variance	variance	NOUN
hjic-222	30	18	point	point	NOUN
hjic-222	30	19	of	of	ADP
hjic-222	30	20	view	view	NOUN
hjic-222	30	21	)	)	PUNCT
hjic-222	30	22	which	which	PRON
hjic-222	30	23	makes	make	VERB
hjic-222	30	24	it	it	PRON
hjic-222	30	25	ideal	ideal	ADJ
hjic-222	30	26	for	for	ADP
hjic-222	30	27	tasks	task	NOUN
hjic-222	30	28	with	with	ADP
hjic-222	30	29	high	high	ADJ
hjic-222	30	30	number	number	NOUN
hjic-222	30	31	of	of	ADP
hjic-222	30	32	variables	variable	NOUN
hjic-222	30	33	.	.	PUNCT
hjic-222	31	1	pca	pca	NOUN
hjic-222	31	2	similarity	similarity	NOUN
hjic-222	31	3	factor	factor	NOUN
hjic-222	31	4	has	have	AUX
hjic-222	31	5	also	also	ADV
hjic-222	31	6	gained	gain	VERB
hjic-222	31	7	in	in	ADP
hjic-222	31	8	popularity	popularity	NOUN
hjic-222	31	9	because	because	SCONJ
hjic-222	31	10	of	of	ADP
hjic-222	31	11	its	its	PRON
hjic-222	31	12	outstanding	outstanding	ADJ
hjic-222	31	13	feature	feature	NOUN
hjic-222	31	14	which	which	PRON
hjic-222	31	15	makes	make	VERB
hjic-222	31	16	possible	possible	ADJ
hjic-222	31	17	to	to	PART
hjic-222	31	18	recognize	recognize	VERB
hjic-222	31	19	the	the	DET
hjic-222	31	20	direction	direction	NOUN
hjic-222	31	21	of	of	ADP
hjic-222	31	22	the	the	DET
hjic-222	31	23	changes	change	NOUN
hjic-222	31	24	in	in	ADP
hjic-222	31	25	the	the	DET
hjic-222	31	26	distance	distance	NOUN
hjic-222	31	27	between	between	ADP
hjic-222	31	28	the	the	DET
hjic-222	31	29	variables	variable	NOUN
hjic-222	31	30	,	,	PUNCT
hjic-222	31	31	i.e.	i.e.	X
hjic-222	31	32	the	the	DET
hjic-222	31	33	rotation	rotation	NOUN
hjic-222	31	34	of	of	ADP
hjic-222	31	35	the	the	DET
hjic-222	31	36	hyperplanes	hyperplane	NOUN
hjic-222	31	37	.	.	PUNCT
hjic-222	32	1	on	on	ADP
hjic-222	32	2	the	the	DET
hjic-222	32	3	other	other	ADJ
hjic-222	32	4	hand	hand	NOUN
hjic-222	32	5	,	,	PUNCT
hjic-222	32	6	pca	pca	NOUN
hjic-222	32	7	similarity	similarity	NOUN
hjic-222	32	8	factor	factor	NOUN
hjic-222	32	9	weights	weight	VERB
hjic-222	32	10	all	all	DET
hjic-222	32	11	principal	principal	ADJ
hjic-222	32	12	components	component	NOUN
hjic-222	32	13	equally	equally	ADV
hjic-222	32	14	,	,	PUNCT
hjic-222	32	15	hence	hence	ADV
hjic-222	32	16	it	it	PRON
hjic-222	32	17	may	may	AUX
hjic-222	32	18	not	not	PART
hjic-222	32	19	capture	capture	VERB
hjic-222	32	20	well	well	ADV
hjic-222	32	21	enough	enough	ADV
hjic-222	32	22	the	the	DET
hjic-222	32	23	degree	degree	NOUN
hjic-222	32	24	of	of	ADP
hjic-222	32	25	similarity	similarity	NOUN
hjic-222	32	26	between	between	ADP
hjic-222	32	27	the	the	DET
hjic-222	32	28	sequences	sequence	NOUN
hjic-222	32	29	when	when	SCONJ
hjic-222	32	30	only	only	ADV
hjic-222	32	31	a	a	DET
hjic-222	32	32	few	few	ADJ
hjic-222	32	33	principal	principal	ADJ
hjic-222	32	34	components	component	NOUN
hjic-222	32	35	explain	explain	VERB
hjic-222	32	36	most	most	ADJ
hjic-222	32	37	of	of	ADP
hjic-222	32	38	the	the	DET
hjic-222	32	39	variance	variance	NOUN
hjic-222	32	40	.	.	PUNCT
hjic-222	33	1	thus	thus	ADV
hjic-222	33	2	,	,	PUNCT
hjic-222	33	3	it	it	PRON
hjic-222	33	4	was	be	AUX
hjic-222	33	5	natural	natural	ADJ
hjic-222	33	6	to	to	PART
hjic-222	33	7	define	define	VERB
hjic-222	33	8	a	a	DET
hjic-222	33	9	modified	modify	VERB
hjic-222	33	10	pca	pca	NOUN
hjic-222	33	11	similarity	similarity	NOUN
hjic-222	33	12	factor	factor	NOUN
hjic-222	33	13	that	that	PRON
hjic-222	33	14	weights	weight	VERB
hjic-222	33	15	each	each	DET
hjic-222	33	16	principal	principal	ADJ
hjic-222	33	17	component	component	NOUN
hjic-222	33	18	by	by	ADP
hjic-222	33	19	its	its	PRON
hjic-222	33	20	explained	explain	VERB
hjic-222	33	21	variance	variance	NOUN
hjic-222	33	22	.	.	PUNCT
hjic-222	34	1	m.	m.	PROPN
hjic-222	34	2	c.	c.	PROPN
hjic-222	34	3	johannesmeyer	johannesmeyer	PROPN
hjic-222	35	1	[	[	X
hjic-222	35	2	3	3	NUM
hjic-222	35	3	]	]	PUNCT
hjic-222	35	4	defined	define	VERB
hjic-222	35	5	this	this	DET
hjic-222	35	6	modified	modify	VERB
hjic-222	35	7	pca	pca	NOUN
hjic-222	35	8	similarity	similarity	NOUN
hjic-222	35	9	factor	factor	NOUN
hjic-222	35	10	by	by	ADP
hjic-222	35	11	weighting	weight	VERB
hjic-222	35	12	each	each	DET
hjic-222	35	13	principal	principal	ADJ
hjic-222	35	14	component	component	NOUN
hjic-222	35	15	with	with	ADP
hjic-222	35	16	its	its	PRON
hjic-222	35	17	eigenvalue	eigenvalue	NOUN
hjic-222	35	18	:	:	PUNCT
hjic-222	35	19	∑	∑	PROPN
hjic-222	35	20	∑∑	∑∑	NOUN
hjic-222	35	21	=	=	PUNCT
hjic-222	36	1	=	=	PUNCT
hjic-222	37	1	=	=	PUNCT
hjic-222	37	2	=	=	SYM
hjic-222	38	1	p	p	X
hjic-222	38	2	i	i	INTJ
hjic-222	39	1	y	y	INTJ
hjic-222	40	1	i	i	INTJ
hjic-222	40	2	x	x	VERB
hjic-222	41	1	i	i	PRON
hjic-222	41	2	ji	ji	INTJ
hjic-222	42	1	p	p	X
hjic-222	43	1	i	i	PRON
hjic-222	43	2	p	p	PROPN
hjic-222	43	3	j	j	PROPN
hjic-222	43	4	y	y	PROPN
hjic-222	43	5	j	j	PROPN
hjic-222	43	6	x	x	VERB
hjic-222	44	1	i	i	PRON
hjic-222	44	2	nnpca	nnpca	PROPN
hjic-222	44	3	nn	nn	PROPN
hjic-222	44	4	nn	nn	PROPN
hjic-222	44	5	yxs	yxs	PROPN
hjic-222	44	6	1	1	NUM
hjic-222	44	7	,	,	PUNCT
hjic-222	44	8	2	2	NUM
hjic-222	44	9	1	1	NUM
hjic-222	44	10	1	1	NUM
hjic-222	44	11	)	)	PUNCT
hjic-222	44	12	(	(	PUNCT
hjic-222	44	13	θcos	θco	NOUN
hjic-222	44	14	)	)	PUNCT
hjic-222	44	15	(	(	PUNCT
hjic-222	44	16	)	)	PUNCT
hjic-222	44	17	,	,	PUNCT
hjic-222	44	18	(	(	PUNCT
hjic-222	44	19	λλ	λλ	INTJ
hjic-222	44	20	λλ	λλ	PROPN
hjic-222	44	21	λ	λ	X
hjic-222	44	22	where	where	SCONJ
hjic-222	44	23	:	:	PUNCT
hjic-222	44	24	λi	λi	NOUN
hjic-222	44	25	xn	xn	PROPN
hjic-222	45	1	and	and	CCONJ
hjic-222	45	2	λi	λi	X
hjic-222	45	3	yn	yn	PROPN
hjic-222	45	4	–	–	PUNCT
hjic-222	45	5	the	the	DET
hjic-222	45	6	corresponding	corresponding	ADJ
hjic-222	45	7	eigenvalues	eigenvalue	NOUN
hjic-222	45	8	of	of	ADP
hjic-222	45	9	the	the	DET
hjic-222	45	10	ith	ith	PROPN
hjic-222	45	11	and	and	CCONJ
hjic-222	45	12	jth	jth	PROPN
hjic-222	45	13	principal	principal	PROPN
hjic-222	45	14	component	component	NOUN
hjic-222	45	15	of	of	ADP
hjic-222	45	16	xn	xn	PROPN
hjic-222	45	17	and	and	CCONJ
hjic-222	45	18	yn	yn	PROPN
hjic-222	45	19	.	.	PUNCT
hjic-222	46	1	this	this	DET
hjic-222	46	2	principle	principle	NOUN
hjic-222	46	3	was	be	AUX
hjic-222	46	4	developed	develop	VERB
hjic-222	46	5	by	by	ADP
hjic-222	46	6	k.	k.	PROPN
hjic-222	46	7	yang	yang	PROPN
hjic-222	47	1	[	[	X
hjic-222	47	2	4	4	X
hjic-222	47	3	]	]	PUNCT
hjic-222	47	4	who	who	PRON
hjic-222	47	5	presented	present	VERB
hjic-222	47	6	the	the	DET
hjic-222	47	7	logical	logical	ADJ
hjic-222	47	8	extension	extension	NOUN
hjic-222	47	9	of	of	ADP
hjic-222	47	10	pca	pca	NOUN
hjic-222	47	11	similarity	similarity	NOUN
hjic-222	47	12	factor	factor	NOUN
hjic-222	47	13	and	and	CCONJ
hjic-222	47	14	sλpca	sλpca	NOUN
hjic-222	47	15	called	call	VERB
hjic-222	47	16	eros	eros	PROPN
hjic-222	47	17	(	(	PUNCT
hjic-222	47	18	extended	extend	VERB
hjic-222	47	19	frobenius	frobenius	NOUN
hjic-222	47	20	norm	norm	NOUN
hjic-222	47	21	):	):	PUNCT
hjic-222	48	1	∑∑	∑∑	PROPN
hjic-222	48	2	=	=	SYM
hjic-222	48	3	=	=	SYM
hjic-222	48	4	=	=	SYM
hjic-222	48	5	=	=	SYM
hjic-222	48	6	n	n	PROPN
hjic-222	48	7	i	i	PRON
hjic-222	48	8	ii	ii	VERB
hjic-222	49	1	n	n	ADV
hjic-222	49	2	i	i	PRON
hjic-222	49	3	t	t	PROPN
hjic-222	49	4	yxinneros	yxinneros	PROPN
hjic-222	49	5	wiuiuwyxs	wiuiuwyxs	PROPN
hjic-222	49	6	nn	nn	PROPN
hjic-222	49	7	11	11	NUM
hjic-222	49	8	θcos	θco	NOUN
hjic-222	49	9	)	)	PUNCT
hjic-222	49	10	(	(	PUNCT
hjic-222	49	11	)	)	PUNCT
hjic-222	49	12	(	(	PUNCT
hjic-222	49	13	)	)	PUNCT
hjic-222	49	14	,	,	PUNCT
hjic-222	49	15	(	(	PUNCT
hjic-222	49	16	where	where	SCONJ
hjic-222	49	17	:	:	PUNCT
hjic-222	49	18	θi	θi	X
hjic-222	49	19	–	–	PUNCT
hjic-222	49	20	the	the	DET
hjic-222	49	21	angle	angle	NOUN
hjic-222	49	22	between	between	ADP
hjic-222	49	23	the	the	DET
hjic-222	49	24	two	two	NUM
hjic-222	49	25	corresponding	correspond	VERB
hjic-222	49	26	principal	principal	ADJ
hjic-222	49	27	components	component	NOUN
hjic-222	49	28	wi	wi	PROPN
hjic-222	49	29	–	–	PUNCT
hjic-222	49	30	the	the	DET
hjic-222	49	31	weighting	weight	VERB
hjic-222	49	32	vector	vector	NOUN
hjic-222	49	33	based	base	VERB
hjic-222	49	34	on	on	ADP
hjic-222	49	35	the	the	DET
hjic-222	49	36	eigenvalues	eigenvalue	NOUN
hjic-222	49	37	of	of	ADP
hjic-222	49	38	the	the	DET
hjic-222	49	39	sequences	sequence	NOUN
hjic-222	49	40	in	in	ADP
hjic-222	49	41	the	the	DET
hjic-222	49	42	data	datum	NOUN
hjic-222	49	43	set	set	VERB
hjic-222	49	44	.	.	PUNCT
hjic-222	50	1	figure	figure	NOUN
hjic-222	50	2	1	1	NUM
hjic-222	50	3	:	:	PUNCT
hjic-222	50	4	two	two	NUM
hjic-222	50	5	corresponding	correspond	VERB
hjic-222	50	6	principal	principal	ADJ
hjic-222	50	7	components	component	NOUN
hjic-222	50	8	generally	generally	ADV
hjic-222	50	9	speaking	speak	VERB
hjic-222	50	10	,	,	PUNCT
hjic-222	50	11	the	the	DET
hjic-222	50	12	eros	eros	PROPN
hjic-222	50	13	measures	measure	VERB
hjic-222	50	14	the	the	DET
hjic-222	50	15	similarity	similarity	NOUN
hjic-222	50	16	of	of	ADP
hjic-222	50	17	two	two	NUM
hjic-222	50	18	multivariate	multivariate	NOUN
hjic-222	50	19	time	time	NOUN
hjic-222	50	20	series	series	NOUN
hjic-222	50	21	by	by	ADP
hjic-222	50	22	comparing	compare	VERB
hjic-222	50	23	the	the	DET
hjic-222	50	24	angle	angle	NOUN
hjic-222	50	25	between	between	ADP
hjic-222	50	26	the	the	DET
hjic-222	50	27	corresponding	corresponding	ADJ
hjic-222	50	28	principal	principal	ADJ
hjic-222	50	29	components	component	NOUN
hjic-222	50	30	and	and	CCONJ
hjic-222	50	31	using	use	VERB
hjic-222	50	32	the	the	DET
hjic-222	50	33	aggregated	aggregate	VERB
hjic-222	50	34	eigenvalues	eigenvalue	NOUN
hjic-222	50	35	as	as	ADP
hjic-222	50	36	weights	weight	NOUN
hjic-222	50	37	,	,	PUNCT
hjic-222	50	38	hence	hence	ADV
hjic-222	50	39	it	it	PRON
hjic-222	50	40	takes	take	VERB
hjic-222	50	41	into	into	ADP
hjic-222	50	42	account	account	NOUN
hjic-222	50	43	the	the	DET
hjic-222	50	44	variance	variance	NOUN
hjic-222	50	45	of	of	ADP
hjic-222	50	46	each	each	DET
hjic-222	50	47	principal	principal	ADJ
hjic-222	50	48	component	component	NOUN
hjic-222	50	49	.	.	PUNCT
hjic-222	51	1	it	it	PRON
hjic-222	51	2	has	have	VERB
hjic-222	51	3	to	to	PART
hjic-222	51	4	be	be	AUX
hjic-222	51	5	noted	note	VERB
hjic-222	51	6	that	that	SCONJ
hjic-222	51	7	eros	eros	PROPN
hjic-222	51	8	always	always	ADV
hjic-222	51	9	computes	compute	VERB
hjic-222	51	10	the	the	DET
hjic-222	51	11	acute	acute	ADJ
hjic-222	51	12	angle	angle	NOUN
hjic-222	51	13	between	between	ADP
hjic-222	51	14	the	the	DET
hjic-222	51	15	two	two	NUM
hjic-222	51	16	principal	principal	ADJ
hjic-222	51	17	components	component	NOUN
hjic-222	51	18	(	(	PUNCT
hjic-222	51	19	eigenvectors	eigenvector	NOUN
hjic-222	51	20	)	)	PUNCT
hjic-222	51	21	.	.	PUNCT
hjic-222	52	1	therefore	therefore	ADV
hjic-222	52	2	,	,	PUNCT
hjic-222	52	3	as	as	SCONJ
hjic-222	52	4	it	it	PRON
hjic-222	52	5	is	be	AUX
hjic-222	52	6	illustrated	illustrate	VERB
hjic-222	52	7	in	in	ADP
hjic-222	52	8	fig	fig	NOUN
hjic-222	52	9	.	.	PUNCT
hjic-222	53	1	1	1	NUM
hjic-222	53	2	,	,	PUNCT
hjic-222	53	3	when	when	SCONJ
hjic-222	53	4	the	the	DET
hjic-222	53	5	angle	angle	NOUN
hjic-222	53	6	(	(	PUNCT
hjic-222	53	7	α	α	NOUN
hjic-222	53	8	)	)	PUNCT
hjic-222	53	9	between	between	ADP
hjic-222	53	10	the	the	DET
hjic-222	53	11	two	two	NUM
hjic-222	53	12	corresponding	corresponding	ADJ
hjic-222	53	13	eigenvectors	eigenvector	NOUN
hjic-222	53	14	is	be	AUX
hjic-222	53	15	not	not	PART
hjic-222	53	16	acute	acute	ADJ
hjic-222	53	17	,	,	PUNCT
hjic-222	53	18	the	the	DET
hjic-222	53	19	absolute	absolute	ADJ
hjic-222	53	20	value	value	NOUN
hjic-222	53	21	of	of	ADP
hjic-222	53	22	it	it	PRON
hjic-222	53	23	is	be	AUX
hjic-222	53	24	taken	take	VERB
hjic-222	53	25	and	and	CCONJ
hjic-222	53	26	the	the	DET
hjic-222	53	27	similarity	similarity	NOUN
hjic-222	53	28	between	between	ADP
hjic-222	53	29	the	the	DET
hjic-222	53	30	two	two	NUM
hjic-222	53	31	corresponding	corresponding	ADJ
hjic-222	53	32	eigenvectors	eigenvector	NOUN
hjic-222	53	33	is	be	AUX
hjic-222	53	34	computed	compute	VERB
hjic-222	53	35	by	by	ADP
hjic-222	53	36	using	use	VERB
hjic-222	53	37	the	the	DET
hjic-222	53	38	acute	acute	ADJ
hjic-222	53	39	angle	angle	NOUN
hjic-222	53	40	(	(	PUNCT
hjic-222	53	41	β	β	NOUN
hjic-222	53	42	)	)	PUNCT
hjic-222	53	43	.	.	PUNCT
hjic-222	54	1	more	more	ADV
hjic-222	54	2	specifically	specifically	ADV
hjic-222	54	3	,	,	PUNCT
hjic-222	54	4	the	the	DET
hjic-222	54	5	inner	inner	ADJ
hjic-222	54	6	product	product	NOUN
hjic-222	54	7	of	of	ADP
hjic-222	54	8	two	two	NUM
hjic-222	54	9	normal	normal	ADJ
hjic-222	54	10	vectors	vector	NOUN
hjic-222	54	11	,	,	PUNCT
hjic-222	54	12	a	a	PRON
hjic-222	54	13	and	and	CCONJ
hjic-222	54	14	b	b	NOUN
hjic-222	54	15	in	in	ADP
hjic-222	54	16	fig	fig	NOUN
hjic-222	54	17	.	.	PUNCT
hjic-222	55	1	1	1	NUM
hjic-222	55	2	,	,	PUNCT
hjic-222	55	3	yields	yield	NOUN
hjic-222	55	4	cos(α	cos(α	PROPN
hjic-222	55	5	)	)	PUNCT
hjic-222	55	6	,	,	PUNCT
hjic-222	55	7	while	while	SCONJ
hjic-222	55	8	cos(β	cos(β	NOUN
hjic-222	55	9	)	)	PUNCT
hjic-222	55	10	=	=	PUNCT
hjic-222	56	1	cos(π	cos(π	NOUN
hjic-222	56	2	-	-	NOUN
hjic-222	56	3	α	α	NOUN
hjic-222	56	4	)	)	PUNCT
hjic-222	56	5	=	=	PUNCT
hjic-222	56	6	–	–	PUNCT
hjic-222	56	7	cos(α	cos(α	PROPN
hjic-222	56	8	)	)	PUNCT
hjic-222	56	9	is	be	AUX
hjic-222	56	10	needed	need	VERB
hjic-222	56	11	.	.	PUNCT
hjic-222	57	1	therefore	therefore	ADV
hjic-222	57	2	,	,	PUNCT
hjic-222	57	3	the	the	DET
hjic-222	57	4	absolute	absolute	ADJ
hjic-222	57	5	value	value	NOUN
hjic-222	57	6	of	of	ADP
hjic-222	57	7	cosine	cosine	NOUN
hjic-222	57	8	of	of	ADP
hjic-222	57	9	the	the	DET
hjic-222	57	10	angle	angle	NOUN
hjic-222	57	11	between	between	ADP
hjic-222	57	12	the	the	DET
hjic-222	57	13	eigenvectors	eigenvector	NOUN
hjic-222	57	14	is	be	AUX
hjic-222	57	15	taken	take	VERB
hjic-222	57	16	,	,	PUNCT
hjic-222	57	17	so	so	SCONJ
hjic-222	57	18	that	that	SCONJ
hjic-222	57	19	cos(α	cos(α	NOUN
hjic-222	57	20	)	)	PUNCT
hjic-222	57	21	is	be	AUX
hjic-222	57	22	computed	compute	VERB
hjic-222	57	23	when	when	SCONJ
hjic-222	57	24	α	α	NOUN
hjic-222	57	25	≤	≤	NOUN
hjic-222	57	26	π/2	π/2	NUM
hjic-222	57	27	,	,	PUNCT
hjic-222	57	28	while	while	SCONJ
hjic-222	57	29	-cos(α	-cos(α	VERB
hjic-222	57	30	)	)	PUNCT
hjic-222	57	31	is	be	AUX
hjic-222	57	32	computed	compute	VERB
hjic-222	57	33	when	when	SCONJ
hjic-222	57	34	α	α	X
hjic-222	57	35	>	>	X
hjic-222	57	36	π/2	π/2	NUM
hjic-222	57	37	.	.	PUNCT
hjic-222	58	1	the	the	DET
hjic-222	58	2	previously	previously	ADV
hjic-222	58	3	mentioned	mention	VERB
hjic-222	58	4	methods	method	NOUN
hjic-222	58	5	greatly	greatly	ADV
hjic-222	58	6	improved	improve	VERB
hjic-222	58	7	the	the	DET
hjic-222	58	8	simple	simple	ADJ
hjic-222	58	9	pca	pca	NOUN
hjic-222	58	10	similarity	similarity	NOUN
hjic-222	58	11	factor	factor	NOUN
hjic-222	58	12	both	both	PRON
hjic-222	58	13	in	in	ADP
hjic-222	58	14	speed	speed	NOUN
hjic-222	58	15	and	and	CCONJ
hjic-222	58	16	in	in	ADP
hjic-222	58	17	accuracy	accuracy	NOUN
hjic-222	58	18	;	;	PUNCT
hjic-222	58	19	however	however	ADV
hjic-222	58	20	,	,	PUNCT
hjic-222	58	21	they	they	PRON
hjic-222	58	22	have	have	AUX
hjic-222	58	23	not	not	PART
hjic-222	58	24	dealt	deal	VERB
hjic-222	58	25	with	with	ADP
hjic-222	58	26	the	the	DET
hjic-222	58	27	biggest	big	ADJ
hjic-222	58	28	problem	problem	NOUN
hjic-222	58	29	of	of	ADP
hjic-222	58	30	every	every	DET
hjic-222	58	31	pca	pca	NOUN
hjic-222	58	32	related	relate	VERB
hjic-222	58	33	technique	technique	NOUN
hjic-222	58	34	,	,	PUNCT
hjic-222	58	35	i.e.	i.e.	X
hjic-222	58	36	pca	pca	PROPN
hjic-222	58	37	considers	consider	VERB
hjic-222	58	38	the	the	DET
hjic-222	58	39	time	time	NOUN
hjic-222	58	40	series	series	NOUN
hjic-222	58	41	as	as	ADP
hjic-222	58	42	a	a	DET
hjic-222	58	43	whole	whole	NOUN
hjic-222	58	44	but	but	CCONJ
hjic-222	58	45	does	do	AUX
hjic-222	58	46	not	not	PART
hjic-222	58	47	take	take	VERB
hjic-222	58	48	into	into	ADP
hjic-222	58	49	account	account	NOUN
hjic-222	58	50	the	the	DET
hjic-222	58	51	alterations	alteration	NOUN
hjic-222	58	52	of	of	ADP
hjic-222	58	53	the	the	DET
hjic-222	58	54	correlation	correlation	NOUN
hjic-222	58	55	structure	structure	NOUN
hjic-222	58	56	.	.	PUNCT
hjic-222	59	1	this	this	DET
hjic-222	59	2	alternation	alternation	NOUN
hjic-222	59	3	affects	affect	VERB
hjic-222	59	4	the	the	DET
hjic-222	59	5	hyperplanes	hyperplane	NOUN
hjic-222	59	6	,	,	PUNCT
hjic-222	59	7	therefore	therefore	ADV
hjic-222	59	8	segmentation	segmentation	NOUN
hjic-222	59	9	is	be	AUX
hjic-222	59	10	required	require	VERB
hjic-222	59	11	in	in	ADP
hjic-222	59	12	most	most	ADJ
hjic-222	59	13	real	real	ADJ
hjic-222	59	14	-	-	PUNCT
hjic-222	59	15	life	life	NOUN
hjic-222	59	16	applications	application	NOUN
hjic-222	59	17	to	to	PART
hjic-222	59	18	create	create	VERB
hjic-222	59	19	homogeneous	homogeneous	ADJ
hjic-222	59	20	segments	segment	NOUN
hjic-222	59	21	from	from	ADP
hjic-222	59	22	correlation	correlation	NOUN
hjic-222	59	23	structure	structure	NOUN
hjic-222	59	24	point	point	NOUN
hjic-222	59	25	of	of	ADP
hjic-222	59	26	view	view	NOUN
hjic-222	59	27	.	.	PUNCT
hjic-222	60	1	however	however	ADV
hjic-222	60	2	,	,	PUNCT
hjic-222	60	3	the	the	DET
hjic-222	60	4	segmentation	segmentation	NOUN
hjic-222	60	5	raises	raise	VERB
hjic-222	60	6	another	another	DET
hjic-222	60	7	problem	problem	NOUN
hjic-222	60	8	:	:	PUNCT
hjic-222	60	9	although	although	SCONJ
hjic-222	60	10	in	in	ADP
hjic-222	60	11	many	many	ADJ
hjic-222	60	12	real	real	ADJ
hjic-222	60	13	-	-	PUNCT
hjic-222	60	14	life	life	NOUN
hjic-222	60	15	applications	application	NOUN
hjic-222	60	16	a	a	DET
hjic-222	60	17	lot	lot	NOUN
hjic-222	60	18	of	of	ADP
hjic-222	60	19	variables	variable	NOUN
hjic-222	60	20	must	must	AUX
hjic-222	60	21	be	be	AUX
hjic-222	60	22	simultaneously	simultaneously	ADV
hjic-222	60	23	tracked	track	VERB
hjic-222	60	24	and	and	CCONJ
hjic-222	60	25	monitored	monitor	VERB
hjic-222	60	26	,	,	PUNCT
hjic-222	60	27	most	most	ADJ
hjic-222	60	28	of	of	ADP
hjic-222	60	29	the	the	DET
hjic-222	60	30	segmentation	segmentation	NOUN
hjic-222	60	31	algorithms	algorithm	NOUN
hjic-222	60	32	are	be	AUX
hjic-222	60	33	used	use	VERB
hjic-222	60	34	for	for	ADP
hjic-222	60	35	the	the	DET
hjic-222	60	36	analysis	analysis	NOUN
hjic-222	60	37	of	of	ADP
hjic-222	60	38	only	only	ADV
hjic-222	60	39	one	one	NUM
hjic-222	60	40	time	time	NOUN
hjic-222	60	41	-	-	PUNCT
hjic-222	60	42	variant	variant	ADJ
hjic-222	60	43	variable	variable	NOUN
hjic-222	60	44	[	[	X
hjic-222	60	45	5	5	NUM
hjic-222	60	46	]	]	PUNCT
hjic-222	60	47	.	.	PUNCT
hjic-222	61	1	hence	hence	ADV
hjic-222	61	2	,	,	PUNCT
hjic-222	61	3	dimensionality	dimensionality	NOUN
hjic-222	61	4	reduction	reduction	NOUN
hjic-222	61	5	techniques	technique	NOUN
hjic-222	61	6	are	be	AUX
hjic-222	61	7	used	use	VERB
hjic-222	61	8	,	,	PUNCT
hjic-222	61	9	most	most	ADV
hjic-222	61	10	likely	likely	ADJ
hjic-222	61	11	pca	pca	NOUN
hjic-222	61	12	,	,	PUNCT
hjic-222	61	13	to	to	PART
hjic-222	61	14	project	project	VERB
hjic-222	61	15	the	the	DET
hjic-222	61	16	multivariate	multivariate	NOUN
hjic-222	61	17	time	time	NOUN
hjic-222	61	18	series	series	PROPN
hjic-222	61	19	into	into	ADP
hjic-222	61	20	the	the	DET
hjic-222	61	21	one	one	NUM
hjic-222	61	22	dimensional	dimensional	ADJ
hjic-222	61	23	space	space	NOUN
hjic-222	61	24	where	where	SCONJ
hjic-222	61	25	any	any	DET
hjic-222	61	26	suitable	suitable	ADJ
hjic-222	61	27	univariate	univariate	ADJ
hjic-222	61	28	segmentation	segmentation	NOUN
hjic-222	61	29	method	method	NOUN
hjic-222	61	30	such	such	ADJ
hjic-222	61	31	as	as	ADP
hjic-222	61	32	piecewise	piecewise	NOUN
hjic-222	61	33	aggregate	aggregate	ADJ
hjic-222	61	34	approximation	approximation	NOUN
hjic-222	61	35	(	(	PUNCT
hjic-222	61	36	paa	paa	X
hjic-222	61	37	)	)	PUNCT
hjic-222	61	38	or	or	CCONJ
hjic-222	61	39	piecewise	piecewise	NOUN
hjic-222	61	40	linear	linear	ADJ
hjic-222	61	41	approximation	approximation	NOUN
hjic-222	61	42	(	(	PUNCT
hjic-222	61	43	pla	pla	NOUN
hjic-222	61	44	)	)	PUNCT
hjic-222	61	45	is	be	AUX
hjic-222	61	46	executed	execute	VERB
hjic-222	61	47	.	.	PUNCT
hjic-222	62	1	finally	finally	ADV
hjic-222	62	2	,	,	PUNCT
hjic-222	62	3	the	the	DET
hjic-222	62	4	segments	segment	NOUN
hjic-222	62	5	are	be	AUX
hjic-222	62	6	compared	compare	VERB
hjic-222	62	7	with	with	ADP
hjic-222	62	8	a	a	DET
hjic-222	62	9	suitable	suitable	ADJ
hjic-222	62	10	similarity	similarity	NOUN
hjic-222	62	11	measure	measure	NOUN
hjic-222	62	12	.	.	PUNCT
hjic-222	63	1	finding	find	VERB
hjic-222	63	2	this	this	DET
hjic-222	63	3	suitable	suitable	ADJ
hjic-222	63	4	similarity	similarity	NOUN
hjic-222	63	5	measure	measure	NOUN
hjic-222	63	6	is	be	AUX
hjic-222	63	7	a	a	DET
hjic-222	63	8	difficult	difficult	ADJ
hjic-222	63	9	task	task	NOUN
hjic-222	63	10	.	.	PUNCT
hjic-222	64	1	besides	besides	SCONJ
hjic-222	64	2	the	the	DET
hjic-222	64	3	obvious	obvious	ADJ
hjic-222	64	4	euclidean	euclidean	ADJ
hjic-222	64	5	distance	distance	NOUN
hjic-222	64	6	other	other	ADJ
hjic-222	64	7	,	,	PUNCT
hjic-222	64	8	more	more	ADV
hjic-222	64	9	advanced	advanced	ADJ
hjic-222	64	10	measures	measure	NOUN
hjic-222	64	11	can	can	AUX
hjic-222	64	12	be	be	AUX
hjic-222	64	13	used	use	VERB
hjic-222	64	14	such	such	ADJ
hjic-222	64	15	as	as	ADP
hjic-222	64	16	dtw	dtw	PROPN
hjic-222	64	17	.	.	PUNCT
hjic-222	65	1	it	it	PRON
hjic-222	65	2	proved	prove	VERB
hjic-222	65	3	its	its	PRON
hjic-222	65	4	adaptability	adaptability	NOUN
hjic-222	65	5	and	and	CCONJ
hjic-222	65	6	superiority	superiority	NOUN
hjic-222	65	7	over	over	ADP
hjic-222	65	8	other	other	ADJ
hjic-222	65	9	similarity	similarity	NOUN
hjic-222	65	10	measures	measure	NOUN
hjic-222	65	11	in	in	ADP
hjic-222	65	12	wide	wide	ADJ
hjic-222	65	13	range	range	NOUN
hjic-222	65	14	of	of	ADP
hjic-222	65	15	time	time	NOUN
hjic-222	65	16	series	series	NOUN
hjic-222	65	17	applications	application	NOUN
hjic-222	65	18	from	from	ADP
hjic-222	65	19	speech	speech	NOUN
hjic-222	65	20	recognition	recognition	NOUN
hjic-222	66	1	[	[	X
hjic-222	66	2	6	6	NUM
hjic-222	66	3	]	]	PUNCT
hjic-222	66	4	to	to	PART
hjic-222	66	5	fingerprint	fingerprint	VERB
hjic-222	66	6	verification	verification	NOUN
hjic-222	66	7	[	[	X
hjic-222	66	8	7	7	NUM
hjic-222	66	9	]	]	PUNCT
hjic-222	66	10	and	and	CCONJ
hjic-222	66	11	as	as	ADP
hjic-222	66	12	final	final	ADJ
hjic-222	66	13	proof	proof	NOUN
hjic-222	66	14	of	of	ADP
hjic-222	66	15	this	this	DET
hjic-222	66	16	yanikoglu	yanikoglu	PROPN
hjic-222	66	17	won	win	VERB
hjic-222	66	18	the	the	DET
hjic-222	66	19	signature	signature	NOUN
hjic-222	66	20	verification	verification	NOUN
hjic-222	66	21	conference	conference	NOUN
hjic-222	66	22	with	with	ADP
hjic-222	66	23	a	a	DET
hjic-222	66	24	dtw	dtw	NOUN
hjic-222	66	25	based	base	VERB
hjic-222	66	26	algorithm	algorithm	NOUN
hjic-222	66	27	in	in	ADP
hjic-222	66	28	2004	2004	NUM
hjic-222	66	29	[	[	X
hjic-222	66	30	8	8	NUM
hjic-222	66	31	]	]	PUNCT
hjic-222	66	32	.	.	PUNCT
hjic-222	67	1	keogh	keogh	PROPN
hjic-222	67	2	and	and	CCONJ
hjic-222	67	3	pazzani	pazzani	PROPN
hjic-222	67	4	presented	present	VERB
hjic-222	67	5	modifications	modification	NOUN
hjic-222	67	6	on	on	ADP
hjic-222	67	7	dtw	dtw	PROPN
hjic-222	67	8	algorithm	algorithm	NOUN
hjic-222	67	9	to	to	PART
hjic-222	67	10	handle	handle	VERB
hjic-222	67	11	paa	paa	VERB
hjic-222	67	12	[	[	X
hjic-222	67	13	9	9	NUM
hjic-222	67	14	]	]	PUNCT
hjic-222	67	15	and	and	CCONJ
hjic-222	67	16	pla	pla	NOUN
hjic-222	68	1	[	[	X
hjic-222	68	2	10	10	NUM
hjic-222	68	3	]	]	X
hjic-222	68	4	representations	representation	NOUN
hjic-222	68	5	of	of	ADP
hjic-222	68	6	univariate	univariate	ADJ
hjic-222	68	7	time	time	NOUN
hjic-222	68	8	series	series	NOUN
hjic-222	68	9	.	.	PUNCT
hjic-222	69	1	although	although	SCONJ
hjic-222	69	2	these	these	DET
hjic-222	69	3	new	new	ADJ
hjic-222	69	4	algorithms	algorithm	NOUN
hjic-222	69	5	can	can	AUX
hjic-222	69	6	provide	provide	VERB
hjic-222	69	7	noticeably	noticeably	ADV
hjic-222	69	8	better	well	ADJ
hjic-222	69	9	results	result	NOUN
hjic-222	69	10	than	than	ADP
hjic-222	69	11	euclidean	euclidean	ADJ
hjic-222	69	12	distance	distance	NOUN
hjic-222	69	13	and	and	CCONJ
hjic-222	69	14	speeds	speed	VERB
hjic-222	69	15	up	up	ADP
hjic-222	69	16	the	the	DET
hjic-222	69	17	computationally	computationally	ADV
hjic-222	69	18	expensive	expensive	ADJ
hjic-222	69	19	general	general	ADJ
hjic-222	69	20	dtw	dtw	PROPN
hjic-222	69	21	algorithm	algorithm	NOUN
hjic-222	69	22	,	,	PUNCT
hjic-222	69	23	they	they	PRON
hjic-222	69	24	do	do	AUX
hjic-222	69	25	not	not	PART
hjic-222	69	26	take	take	VERB
hjic-222	69	27	the	the	DET
hjic-222	69	28	drift	drift	NOUN
hjic-222	69	29	of	of	ADP
hjic-222	69	30	the	the	DET
hjic-222	69	31	segments	segment	NOUN
hjic-222	69	32	into	into	ADP
hjic-222	69	33	account	account	NOUN
hjic-222	69	34	.	.	PUNCT
hjic-222	70	1	thus	thus	ADV
hjic-222	70	2	,	,	PUNCT
hjic-222	70	3	the	the	DET
hjic-222	70	4	segmentation	segmentation	NOUN
hjic-222	70	5	has	have	VERB
hjic-222	70	6	to	to	PART
hjic-222	70	7	be	be	AUX
hjic-222	70	8	framed	frame	VERB
hjic-222	70	9	in	in	ADP
hjic-222	70	10	another	another	DET
hjic-222	70	11	way	way	NOUN
hjic-222	70	12	.	.	PUNCT
hjic-222	71	1	instead	instead	ADV
hjic-222	71	2	of	of	ADP
hjic-222	71	3	compressing	compress	VERB
hjic-222	71	4	the	the	DET
hjic-222	71	5	multivariate	multivariate	NOUN
hjic-222	71	6	data	datum	NOUN
hjic-222	71	7	to	to	ADP
hjic-222	71	8	a	a	DET
hjic-222	71	9	univariate	univariate	ADJ
hjic-222	71	10	time	time	NOUN
hjic-222	71	11	series	series	NOUN
hjic-222	71	12	applying	apply	VERB
hjic-222	71	13	pla	pla	NOUN
hjic-222	71	14	or	or	CCONJ
hjic-222	71	15	paa	paa	VERB
hjic-222	71	16	,	,	PUNCT
hjic-222	71	17	the	the	DET
hjic-222	71	18	segmentation	segmentation	NOUN
hjic-222	71	19	can	can	AUX
hjic-222	71	20	be	be	AUX
hjic-222	71	21	done	do	VERB
hjic-222	71	22	in	in	ADP
hjic-222	71	23	the	the	DET
hjic-222	71	24	multivariate	multivariate	NOUN
hjic-222	71	25	space	space	NOUN
hjic-222	71	26	while	while	SCONJ
hjic-222	71	27	the	the	DET
hjic-222	71	28	correlation	correlation	NOUN
hjic-222	71	29	is	be	AUX
hjic-222	71	30	still	still	ADV
hjic-222	71	31	considered	consider	VERB
hjic-222	71	32	.	.	PUNCT
hjic-222	72	1	the	the	DET
hjic-222	72	2	authors	author	NOUN
hjic-222	72	3	introduced	introduce	VERB
hjic-222	72	4	[	[	PUNCT
hjic-222	72	5	11	11	NUM
hjic-222	72	6	]	]	SYM
hjic-222	72	7	two	two	NUM
hjic-222	72	8	homogeneity	homogeneity	NOUN
hjic-222	72	9	measures	measure	NOUN
hjic-222	72	10	as	as	ADP
hjic-222	72	11	cost	cost	NOUN
hjic-222	72	12	function	function	NOUN
hjic-222	72	13	for	for	ADP
hjic-222	72	14	segmentation	segmentation	NOUN
hjic-222	72	15	which	which	PRON
hjic-222	72	16	are	be	AUX
hjic-222	72	17	corresponding	correspond	VERB
hjic-222	72	18	to	to	ADP
hjic-222	72	19	the	the	DET
hjic-222	72	20	two	two	NUM
hjic-222	72	21	typical	typical	ADJ
hjic-222	72	22	applications	application	NOUN
hjic-222	72	23	of	of	ADP
hjic-222	72	24	pca	pca	NOUN
hjic-222	72	25	models	model	NOUN
hjic-222	72	26	.	.	PUNCT
hjic-222	73	1	the	the	DET
hjic-222	73	2	q	q	PROPN
hjic-222	73	3	reconstruction	reconstruction	NOUN
hjic-222	73	4	error	error	NOUN
hjic-222	73	5	can	can	AUX
hjic-222	73	6	be	be	AUX
hjic-222	73	7	used	use	VERB
hjic-222	73	8	to	to	PART
hjic-222	73	9	segment	segment	VERB
hjic-222	73	10	the	the	DET
hjic-222	73	11	time	time	NOUN
hjic-222	73	12	series	series	NOUN
hjic-222	73	13	according	accord	VERB
hjic-222	73	14	to	to	ADP
hjic-222	73	15	the	the	DET
hjic-222	73	16	direct	direct	ADJ
hjic-222	73	17	change	change	NOUN
hjic-222	73	18	of	of	ADP
hjic-222	73	19	the	the	DET
hjic-222	73	20	correlation	correlation	NOUN
hjic-222	73	21	among	among	ADP
hjic-222	73	22	the	the	DET
hjic-222	73	23	variables	variable	NOUN
hjic-222	73	24	,	,	PUNCT
hjic-222	73	25	while	while	SCONJ
hjic-222	73	26	the	the	DET
hjic-222	73	27	hotelling	hotelling	NOUN
hjic-222	73	28	's	's	PART
hjic-222	73	29	t2	t2	NOUN
hjic-222	73	30	statistics	statistic	NOUN
hjic-222	73	31	can	can	AUX
hjic-222	73	32	be	be	AUX
hjic-222	73	33	utilized	utilize	VERB
hjic-222	73	34	to	to	PART
hjic-222	73	35	segment	segment	VERB
hjic-222	73	36	the	the	DET
hjic-222	73	37	time	time	NOUN
hjic-222	73	38	series	series	NOUN
hjic-222	73	39	based	base	VERB
hjic-222	73	40	on	on	ADP
hjic-222	73	41	the	the	DET
hjic-222	73	42	drift	drift	NOUN
hjic-222	73	43	of	of	ADP
hjic-222	73	44	the	the	DET
hjic-222	73	45	center	center	NOUN
hjic-222	73	46	of	of	ADP
hjic-222	73	47	the	the	DET
hjic-222	73	48	operating	operating	NOUN
hjic-222	73	49	region	region	NOUN
hjic-222	73	50	.	.	PUNCT
hjic-222	74	1	a	a	DET
hjic-222	74	2	α	α	NOUN
hjic-222	74	3	β	β	X
hjic-222	74	4	b	b	PROPN
hjic-222	74	5	61	61	NUM
hjic-222	74	6	based	base	VERB
hjic-222	74	7	on	on	ADP
hjic-222	74	8	these	these	DET
hjic-222	74	9	new	new	ADJ
hjic-222	74	10	segmentation	segmentation	NOUN
hjic-222	74	11	methods	method	VERB
hjic-222	74	12	a	a	DET
hjic-222	74	13	novel	novel	ADJ
hjic-222	74	14	similarity	similarity	NOUN
hjic-222	74	15	measure	measure	NOUN
hjic-222	74	16	,	,	PUNCT
hjic-222	74	17	called	call	VERB
hjic-222	74	18	correlation	correlation	NOUN
hjic-222	74	19	based	base	VERB
hjic-222	74	20	dynamic	dynamic	ADJ
hjic-222	74	21	time	time	NOUN
hjic-222	74	22	warping	warp	VERB
hjic-222	74	23	was	be	AUX
hjic-222	74	24	created	create	VERB
hjic-222	74	25	[	[	X
hjic-222	74	26	12	12	NUM
hjic-222	74	27	]	]	PUNCT
hjic-222	74	28	.	.	PUNCT
hjic-222	75	1	it	it	PRON
hjic-222	75	2	was	be	AUX
hjic-222	75	3	proven	prove	VERB
hjic-222	75	4	that	that	SCONJ
hjic-222	75	5	it	it	PRON
hjic-222	75	6	outperforms	outperform	VERB
hjic-222	75	7	all	all	PRON
hjic-222	75	8	of	of	ADP
hjic-222	75	9	the	the	DET
hjic-222	75	10	previously	previously	ADV
hjic-222	75	11	introduced	introduce	VERB
hjic-222	75	12	correlation	correlation	NOUN
hjic-222	75	13	based	base	VERB
hjic-222	75	14	similarity	similarity	NOUN
hjic-222	75	15	measures	measure	NOUN
hjic-222	75	16	when	when	SCONJ
hjic-222	75	17	the	the	DET
hjic-222	75	18	multivariate	multivariate	NOUN
hjic-222	75	19	time	time	NOUN
hjic-222	75	20	series	series	PROPN
hjic-222	75	21	are	be	AUX
hjic-222	75	22	highly	highly	ADV
hjic-222	75	23	correlated	correlate	VERB
hjic-222	75	24	.	.	PUNCT
hjic-222	76	1	this	this	DET
hjic-222	76	2	paper	paper	NOUN
hjic-222	76	3	introduces	introduce	VERB
hjic-222	76	4	the	the	DET
hjic-222	76	5	univariate	univariate	ADJ
hjic-222	76	6	version	version	NOUN
hjic-222	76	7	of	of	ADP
hjic-222	76	8	cbdtw	cbdtw	NOUN
hjic-222	76	9	which	which	PRON
hjic-222	76	10	can	can	AUX
hjic-222	76	11	be	be	AUX
hjic-222	76	12	used	use	VERB
hjic-222	76	13	for	for	ADP
hjic-222	76	14	pca	pca	PROPN
hjic-222	76	15	projected	project	VERB
hjic-222	76	16	univariate	univariate	ADJ
hjic-222	76	17	time	time	NOUN
hjic-222	76	18	series	series	NOUN
hjic-222	76	19	.	.	PUNCT
hjic-222	77	1	the	the	DET
hjic-222	77	2	rest	rest	NOUN
hjic-222	77	3	of	of	ADP
hjic-222	77	4	the	the	DET
hjic-222	77	5	paper	paper	NOUN
hjic-222	77	6	is	be	AUX
hjic-222	77	7	organized	organize	VERB
hjic-222	77	8	as	as	SCONJ
hjic-222	77	9	follows	follow	VERB
hjic-222	77	10	.	.	PUNCT
hjic-222	78	1	section	section	NOUN
hjic-222	78	2	background	background	NOUN
hjic-222	78	3	details	detail	VERB
hjic-222	78	4	the	the	DET
hjic-222	78	5	theoretical	theoretical	ADJ
hjic-222	78	6	background	background	NOUN
hjic-222	78	7	of	of	ADP
hjic-222	78	8	the	the	DET
hjic-222	78	9	proposed	propose	VERB
hjic-222	78	10	similarity	similarity	NOUN
hjic-222	78	11	measure	measure	NOUN
hjic-222	78	12	,	,	PUNCT
hjic-222	78	13	i.e.	i.e.	X
hjic-222	78	14	segmentation	segmentation	NOUN
hjic-222	78	15	and	and	CCONJ
hjic-222	78	16	dtw	dtw	PROPN
hjic-222	78	17	.	.	PUNCT
hjic-222	79	1	in	in	ADP
hjic-222	79	2	the	the	DET
hjic-222	79	3	next	next	ADJ
hjic-222	79	4	section	section	NOUN
hjic-222	79	5	the	the	DET
hjic-222	79	6	problems	problem	NOUN
hjic-222	79	7	of	of	ADP
hjic-222	79	8	the	the	DET
hjic-222	79	9	current	current	ADJ
hjic-222	79	10	dtw	dtw	PROPN
hjic-222	79	11	algorithms	algorithm	NOUN
hjic-222	79	12	used	use	VERB
hjic-222	79	13	for	for	ADP
hjic-222	79	14	segmented	segment	VERB
hjic-222	79	15	representations	representation	NOUN
hjic-222	79	16	are	be	AUX
hjic-222	79	17	pointed	point	VERB
hjic-222	79	18	out	out	ADP
hjic-222	79	19	and	and	CCONJ
hjic-222	79	20	the	the	DET
hjic-222	79	21	new	new	ADJ
hjic-222	79	22	similarity	similarity	NOUN
hjic-222	79	23	measure	measure	NOUN
hjic-222	79	24	is	be	AUX
hjic-222	79	25	presented	present	VERB
hjic-222	79	26	.	.	PUNCT
hjic-222	80	1	it	it	PRON
hjic-222	80	2	is	be	AUX
hjic-222	80	3	also	also	ADV
hjic-222	80	4	discussed	discuss	VERB
hjic-222	80	5	how	how	SCONJ
hjic-222	80	6	it	it	PRON
hjic-222	80	7	was	be	AUX
hjic-222	80	8	derived	derive	VERB
hjic-222	80	9	from	from	ADP
hjic-222	80	10	cbdtw	cbdtw	PROPN
hjic-222	80	11	.	.	PUNCT
hjic-222	81	1	section	section	NOUN
hjic-222	81	2	4	4	NUM
hjic-222	81	3	conducts	conduct	VERB
hjic-222	81	4	a	a	DET
hjic-222	81	5	detailed	detailed	ADJ
hjic-222	81	6	empirical	empirical	ADJ
hjic-222	81	7	comparison	comparison	NOUN
hjic-222	81	8	of	of	ADP
hjic-222	81	9	the	the	DET
hjic-222	81	10	introduced	introduce	VERB
hjic-222	81	11	pca	pca	NOUN
hjic-222	81	12	based	base	VERB
hjic-222	81	13	method	method	NOUN
hjic-222	81	14	with	with	ADP
hjic-222	81	15	currently	currently	ADV
hjic-222	81	16	used	use	VERB
hjic-222	81	17	measures	measure	NOUN
hjic-222	81	18	on	on	ADP
hjic-222	81	19	verification	verification	NOUN
hjic-222	81	20	databases	database	NOUN
hjic-222	81	21	widely	widely	ADV
hjic-222	81	22	used	use	VERB
hjic-222	81	23	by	by	ADP
hjic-222	81	24	the	the	DET
hjic-222	81	25	time	time	NOUN
hjic-222	81	26	series	series	PROPN
hjic-222	81	27	data	data	PROPN
hjic-222	81	28	mining	mining	NOUN
hjic-222	81	29	community	community	NOUN
hjic-222	81	30	.	.	PUNCT
hjic-222	82	1	finally	finally	ADV
hjic-222	82	2	,	,	PUNCT
hjic-222	82	3	validation	validation	NOUN
hjic-222	82	4	is	be	AUX
hjic-222	82	5	performed	perform	VERB
hjic-222	82	6	by	by	ADP
hjic-222	82	7	clustering	clustering	NOUN
hjic-222	82	8	of	of	ADP
hjic-222	82	9	temperature	temperature	NOUN
hjic-222	82	10	data	datum	NOUN
hjic-222	82	11	from	from	ADP
hjic-222	82	12	a	a	DET
hjic-222	82	13	sophisticated	sophisticated	ADJ
hjic-222	82	14	model	model	NOUN
hjic-222	82	15	of	of	ADP
hjic-222	82	16	an	an	DET
hjic-222	82	17	industrial	industrial	ADJ
hjic-222	82	18	catalytic	catalytic	ADJ
hjic-222	82	19	fixed	fix	VERB
hjic-222	82	20	bed	bed	NOUN
hjic-222	82	21	tube	tube	NOUN
hjic-222	82	22	reactor	reactor	NOUN
hjic-222	82	23	.	.	PUNCT
hjic-222	83	1	background	background	NOUN
hjic-222	83	2	an	an	DET
hjic-222	83	3	n	n	NOUN
hjic-222	83	4	-	-	PUNCT
hjic-222	83	5	variable	variable	ADJ
hjic-222	83	6	,	,	PUNCT
hjic-222	83	7	m	m	NOUN
hjic-222	83	8	-	-	ADJ
hjic-222	83	9	element	element	ADJ
hjic-222	83	10	time	time	NOUN
hjic-222	83	11	series	series	NOUN
hjic-222	83	12	,	,	PUNCT
hjic-222	83	13	xn	xn	PROPN
hjic-222	84	1	=	=	PUNCT
hjic-222	85	1	[	[	X
hjic-222	85	2	x1,x2,	x1,x2,	PROPN
hjic-222	85	3	…	…	PUNCT
hjic-222	85	4	,xn	,xn	PRON
hjic-222	85	5	]	]	PUNCT
hjic-222	85	6	,	,	PUNCT
hjic-222	85	7	is	be	AUX
hjic-222	85	8	an	an	DET
hjic-222	85	9	m	m	NOUN
hjic-222	85	10	-	-	PUNCT
hjic-222	85	11	by	by	ADP
hjic-222	85	12	-	-	PUNCT
hjic-222	85	13	n	n	CCONJ
hjic-222	85	14	element	element	NOUN
hjic-222	85	15	matrix	matrix	NOUN
hjic-222	85	16	,	,	PUNCT
hjic-222	85	17	where	where	SCONJ
hjic-222	85	18	xi	xi	ADP
hjic-222	85	19	=	=	PUNCT
hjic-222	86	1	[	[	X
hjic-222	86	2	xi(1),xi(2),	xi(1),xi(2),	NOUN
hjic-222	86	3	…	…	PUNCT
hjic-222	86	4	,xi(n)]t	,xi(n)]t	PUNCT
hjic-222	86	5	is	be	AUX
hjic-222	86	6	the	the	DET
hjic-222	86	7	ith	ith	PROPN
hjic-222	86	8	variable	variable	NOUN
hjic-222	86	9	and	and	CCONJ
hjic-222	86	10	xi(j	xi(j	NUM
hjic-222	86	11	)	)	PUNCT
hjic-222	86	12	its	its	PRON
hjic-222	86	13	jth	jth	PROPN
hjic-222	86	14	element	element	NOUN
hjic-222	86	15	.	.	PUNCT
hjic-222	87	1	xn(j	xn(j	PUNCT
hjic-222	87	2	)	)	PUNCT
hjic-222	88	1	=	=	PUNCT
hjic-222	89	1	[	[	X
hjic-222	89	2	x1(j),x2(j),	x1(j),x2(j),	X
hjic-222	89	3	…	…	SYM
hjic-222	89	4	,xn(j	,xn(j	PUNCT
hjic-222	89	5	)	)	PUNCT
hjic-222	89	6	]	]	PUNCT
hjic-222	89	7	is	be	AUX
hjic-222	89	8	the	the	DET
hjic-222	89	9	jth	jth	PROPN
hjic-222	89	10	sample	sample	NOUN
hjic-222	89	11	of	of	ADP
hjic-222	89	12	xn	xn	PROPN
hjic-222	89	13	.	.	PUNCT
hjic-222	90	1	the	the	DET
hjic-222	90	2	similarity	similarity	NOUN
hjic-222	90	3	between	between	ADP
hjic-222	90	4	xn	xn	PROPN
hjic-222	90	5	and	and	CCONJ
hjic-222	90	6	yn	yn	PROPN
hjic-222	90	7	is	be	AUX
hjic-222	90	8	denoted	denote	VERB
hjic-222	90	9	by	by	ADP
hjic-222	90	10	s(xn	s(xn	NOUN
hjic-222	90	11	,	,	PUNCT
hjic-222	90	12	yn	yn	PROPN
hjic-222	90	13	)	)	PUNCT
hjic-222	90	14	,	,	PUNCT
hjic-222	90	15	where	where	SCONJ
hjic-222	90	16	0	0	NUM
hjic-222	90	17	≤	≤	NOUN
hjic-222	90	18	s(xn	s(xn	NOUN
hjic-222	90	19	,	,	PUNCT
hjic-222	90	20	yn	yn	NOUN
hjic-222	90	21	)	)	PUNCT
hjic-222	90	22	≤	≤	NUM
hjic-222	90	23	1	1	NUM
hjic-222	90	24	,	,	PUNCT
hjic-222	90	25	s(xn	s(xn	PROPN
hjic-222	90	26	,	,	PUNCT
hjic-222	90	27	yn	yn	PROPN
hjic-222	90	28	)	)	PUNCT
hjic-222	90	29	=	=	PUNCT
hjic-222	90	30	s(yn	s(yn	NOUN
hjic-222	90	31	,	,	PUNCT
hjic-222	90	32	xn	xn	NUM
hjic-222	90	33	)	)	PUNCT
hjic-222	90	34	,	,	PUNCT
hjic-222	90	35	and	and	CCONJ
hjic-222	90	36	s(xn	s(xn	NOUN
hjic-222	90	37	,	,	PUNCT
hjic-222	90	38	xn	xn	NUM
hjic-222	90	39	)	)	PUNCT
hjic-222	90	40	=	=	SYM
hjic-222	91	1	1	1	X
hjic-222	91	2	.	.	PUNCT
hjic-222	92	1	obviously	obviously	ADV
hjic-222	92	2	,	,	PUNCT
hjic-222	92	3	the	the	DET
hjic-222	92	4	similarity	similarity	NOUN
hjic-222	92	5	is	be	AUX
hjic-222	92	6	nothing	nothing	PRON
hjic-222	92	7	more	more	ADJ
hjic-222	92	8	than	than	ADP
hjic-222	92	9	a	a	DET
hjic-222	92	10	real	real	ADJ
hjic-222	92	11	number	number	NOUN
hjic-222	92	12	between	between	ADP
hjic-222	92	13	zero	zero	NUM
hjic-222	92	14	and	and	CCONJ
hjic-222	92	15	one	one	NUM
hjic-222	92	16	which	which	PRON
hjic-222	92	17	expresses	express	VERB
hjic-222	92	18	the	the	DET
hjic-222	92	19	tightness	tightness	NOUN
hjic-222	92	20	of	of	ADP
hjic-222	92	21	connection	connection	NOUN
hjic-222	92	22	between	between	ADP
hjic-222	92	23	the	the	DET
hjic-222	92	24	processes	process	NOUN
hjic-222	92	25	behind	behind	ADP
hjic-222	92	26	the	the	DET
hjic-222	92	27	time	time	NOUN
hjic-222	92	28	series	series	NOUN
hjic-222	92	29	.	.	PUNCT
hjic-222	93	1	the	the	PRON
hjic-222	93	2	closer	close	ADV
hjic-222	93	3	the	the	DET
hjic-222	93	4	number	number	NOUN
hjic-222	93	5	is	be	AUX
hjic-222	93	6	to	to	ADP
hjic-222	93	7	one	one	NUM
hjic-222	93	8	,	,	PUNCT
hjic-222	93	9	the	the	DET
hjic-222	93	10	processes	process	NOUN
hjic-222	93	11	are	be	AUX
hjic-222	93	12	treated	treat	VERB
hjic-222	93	13	more	more	ADV
hjic-222	93	14	similar	similar	ADJ
hjic-222	93	15	.	.	PUNCT
hjic-222	94	1	in	in	ADP
hjic-222	94	2	practice	practice	NOUN
hjic-222	94	3	,	,	PUNCT
hjic-222	94	4	the	the	DET
hjic-222	94	5	term	term	NOUN
hjic-222	94	6	distance	distance	NOUN
hjic-222	94	7	or	or	CCONJ
hjic-222	94	8	dissimilarity	dissimilarity	NOUN
hjic-222	94	9	(	(	PUNCT
hjic-222	94	10	d	d	X
hjic-222	94	11	)	)	PUNCT
hjic-222	94	12	is	be	AUX
hjic-222	94	13	used	use	VERB
hjic-222	94	14	instead	instead	ADV
hjic-222	94	15	of	of	ADP
hjic-222	94	16	similarity	similarity	NOUN
hjic-222	94	17	.	.	PUNCT
hjic-222	95	1	the	the	DET
hjic-222	95	2	value	value	NOUN
hjic-222	95	3	of	of	ADP
hjic-222	95	4	the	the	DET
hjic-222	95	5	distance	distance	NOUN
hjic-222	95	6	is	be	AUX
hjic-222	95	7	given	give	VERB
hjic-222	95	8	by	by	ADP
hjic-222	95	9	a	a	DET
hjic-222	95	10	number	number	NOUN
hjic-222	95	11	ranged	range	VERB
hjic-222	95	12	from	from	ADP
hjic-222	95	13	zero	zero	NUM
hjic-222	95	14	to	to	ADP
hjic-222	95	15	one	one	NUM
hjic-222	95	16	.	.	PUNCT
hjic-222	96	1	this	this	PRON
hjic-222	96	2	can	can	AUX
hjic-222	96	3	be	be	AUX
hjic-222	96	4	associated	associate	VERB
hjic-222	96	5	with	with	ADP
hjic-222	96	6	similarity	similarity	NOUN
hjic-222	96	7	:	:	PUNCT
hjic-222	96	8	d(xn	d(xn	PROPN
hjic-222	96	9	,	,	PUNCT
hjic-222	96	10	yn	yn	PROPN
hjic-222	96	11	)	)	PUNCT
hjic-222	96	12	=	=	SYM
hjic-222	96	13	1	1	NUM
hjic-222	96	14	–	–	PUNCT
hjic-222	96	15	s(xn	s(xn	X
hjic-222	96	16	,	,	PUNCT
hjic-222	96	17	yn	yn	PROPN
hjic-222	96	18	)	)	PUNCT
hjic-222	96	19	.	.	PUNCT
hjic-222	97	1	segmentation	segmentation	NOUN
hjic-222	97	2	the	the	DET
hjic-222	97	3	ith	ith	PROPN
hjic-222	97	4	segment	segment	NOUN
hjic-222	97	5	of	of	ADP
hjic-222	97	6	xn	xn	PROPN
hjic-222	97	7	is	be	AUX
hjic-222	97	8	a	a	DET
hjic-222	97	9	set	set	NOUN
hjic-222	97	10	of	of	ADP
hjic-222	97	11	consecutive	consecutive	ADJ
hjic-222	97	12	time	time	NOUN
hjic-222	97	13	points	point	NOUN
hjic-222	97	14	,	,	PUNCT
hjic-222	97	15	si(a	si(a	NOUN
hjic-222	97	16	,	,	PUNCT
hjic-222	97	17	b	b	NOUN
hjic-222	97	18	)	)	PUNCT
hjic-222	97	19	=	=	NOUN
hjic-222	98	1	[	[	X
hjic-222	98	2	xn(a	xn(a	NOUN
hjic-222	98	3	)	)	PUNCT
hjic-222	98	4	,	,	PUNCT
hjic-222	98	5	xn(a+1	xn(a+1	PROPN
hjic-222	98	6	)	)	PUNCT
hjic-222	98	7	,	,	PUNCT
hjic-222	98	8	…	…	PUNCT
hjic-222	98	9	,	,	PUNCT
hjic-222	98	10	xn(b	xn(b	NOUN
hjic-222	98	11	)	)	PUNCT
hjic-222	98	12	]	]	PUNCT
hjic-222	98	13	.	.	PUNCT
hjic-222	99	1	the	the	DET
hjic-222	99	2	c	c	NOUN
hjic-222	99	3	-	-	PUNCT
hjic-222	99	4	segmentation	segmentation	NOUN
hjic-222	99	5	of	of	ADP
hjic-222	99	6	time	time	NOUN
hjic-222	99	7	series	series	PROPN
hjic-222	99	8	xn	xn	PROPN
hjic-222	99	9	is	be	AUX
hjic-222	99	10	a	a	DET
hjic-222	99	11	partition	partition	NOUN
hjic-222	99	12	of	of	ADP
hjic-222	99	13	xn	xn	PROPN
hjic-222	99	14	to	to	ADP
hjic-222	99	15	c	c	PROPN
hjic-222	99	16	non	non	ADJ
hjic-222	99	17	-	-	ADJ
hjic-222	99	18	overlapping	overlapping	ADJ
hjic-222	99	19	segments	segment	NOUN
hjic-222	99	20	,	,	PUNCT
hjic-222	99	21	sc	sc	PROPN
hjic-222	99	22	xn	xn	PUNCT
hjic-222	100	1	=	=	PUNCT
hjic-222	101	1	[	[	X
hjic-222	101	2	s1(1,a),s2(a+1,b),	s1(1,a),s2(a+1,b),	X
hjic-222	101	3	…	…	PUNCT
hjic-222	101	4	,sc(k+1,m	,sc(k+1,m	NUM
hjic-222	101	5	)	)	PUNCT
hjic-222	101	6	]	]	PUNCT
hjic-222	101	7	.	.	PUNCT
hjic-222	102	1	in	in	ADP
hjic-222	102	2	other	other	ADJ
hjic-222	102	3	words	word	NOUN
hjic-222	102	4	,	,	PUNCT
hjic-222	102	5	a	a	DET
hjic-222	102	6	c	c	NOUN
hjic-222	102	7	-	-	PUNCT
hjic-222	102	8	segmentation	segmentation	NOUN
hjic-222	102	9	splits	split	VERB
hjic-222	102	10	xn	xn	PROPN
hjic-222	102	11	to	to	ADP
hjic-222	102	12	c	c	PROPN
hjic-222	102	13	disjoint	disjoint	NOUN
hjic-222	102	14	time	time	NOUN
hjic-222	102	15	intervals	interval	NOUN
hjic-222	102	16	,	,	PUNCT
hjic-222	102	17	where	where	SCONJ
hjic-222	102	18	1	1	NUM
hjic-222	102	19	≤	≤	NOUN
hjic-222	102	20	a	a	PRON
hjic-222	102	21	and	and	CCONJ
hjic-222	102	22	k	k	PROPN
hjic-222	102	23	≤	≤	PROPN
hjic-222	102	24	m.	m.	NOUN
hjic-222	102	25	the	the	DET
hjic-222	102	26	simplest	simple	ADJ
hjic-222	102	27	but	but	CCONJ
hjic-222	102	28	yet	yet	ADV
hjic-222	102	29	powerful	powerful	ADJ
hjic-222	102	30	segmentation	segmentation	NOUN
hjic-222	102	31	technique	technique	NOUN
hjic-222	102	32	for	for	ADP
hjic-222	102	33	univariate	univariate	ADJ
hjic-222	102	34	time	time	NOUN
hjic-222	102	35	series	series	NOUN
hjic-222	102	36	is	be	AUX
hjic-222	102	37	paa	paa	ADJ
hjic-222	102	38	.	.	PUNCT
hjic-222	103	1	in	in	ADP
hjic-222	103	2	this	this	DET
hjic-222	103	3	case	case	NOUN
hjic-222	103	4	,	,	PUNCT
hjic-222	103	5	to	to	PART
hjic-222	103	6	reduce	reduce	VERB
hjic-222	103	7	the	the	DET
hjic-222	103	8	m	m	NOUN
hjic-222	103	9	-	-	PUNCT
hjic-222	103	10	length	length	NOUN
hjic-222	103	11	data	datum	NOUN
hjic-222	103	12	from	from	ADP
hjic-222	103	13	n	n	CCONJ
hjic-222	103	14	,	,	PUNCT
hjic-222	103	15	the	the	DET
hjic-222	103	16	time	time	NOUN
hjic-222	103	17	series	series	NOUN
hjic-222	103	18	are	be	AUX
hjic-222	103	19	simply	simply	ADV
hjic-222	103	20	divided	divide	VERB
hjic-222	103	21	into	into	ADP
hjic-222	103	22	n	n	CCONJ
hjic-222	103	23	similar	similar	ADJ
hjic-222	103	24	sized	sized	ADJ
hjic-222	103	25	frames	frame	NOUN
hjic-222	103	26	and	and	CCONJ
hjic-222	103	27	each	each	DET
hjic-222	103	28	frame	frame	NOUN
hjic-222	103	29	is	be	AUX
hjic-222	103	30	represented	represent	VERB
hjic-222	103	31	by	by	ADP
hjic-222	103	32	its	its	PRON
hjic-222	103	33	mean	mean	ADJ
hjic-222	103	34	value	value	NOUN
hjic-222	103	35	.	.	PUNCT
hjic-222	104	1	assuming	assume	VERB
hjic-222	104	2	that	that	SCONJ
hjic-222	104	3	n	n	PRON
hjic-222	104	4	is	be	AUX
hjic-222	104	5	a	a	DET
hjic-222	104	6	factor	factor	NOUN
hjic-222	104	7	of	of	ADP
hjic-222	104	8	m	m	PROPN
hjic-222	104	9	,	,	PUNCT
hjic-222	104	10	we	we	PRON
hjic-222	104	11	get	get	VERB
hjic-222	104	12	:	:	PUNCT
hjic-222	104	13	∑	∑	ADV
hjic-222	104	14	+	+	NOUN
hjic-222	104	15	−=	−=	NOUN
hjic-222	104	16	=	=	NOUN
hjic-222	105	1	i	i	PRON
hjic-222	105	2	n	n	VERB
hjic-222	105	3	m	m	VERB
hjic-222	105	4	i	i	PRON
hjic-222	105	5	n	n	ADJ
hjic-222	105	6	mj	mj	PROPN
hjic-222	105	7	jx	jx	PROPN
hjic-222	105	8	m	m	PROPN
hjic-222	105	9	nix	nix	PROPN
hjic-222	105	10	1)1	1)1	NUM
hjic-222	105	11	(	(	PUNCT
hjic-222	105	12	11	11	NUM
hjic-222	105	13	)	)	PUNCT
hjic-222	105	14	(	(	PUNCT
hjic-222	105	15	)	)	PUNCT
hjic-222	105	16	(	(	PUNCT
hjic-222	105	17	besides	besides	SCONJ
hjic-222	105	18	filtering	filter	VERB
hjic-222	105	19	noise	noise	NOUN
hjic-222	105	20	,	,	PUNCT
hjic-222	105	21	paa	paa	PROPN
hjic-222	105	22	can	can	AUX
hjic-222	105	23	compensate	compensate	VERB
hjic-222	105	24	phase	phase	NOUN
hjic-222	105	25	shifts	shift	NOUN
hjic-222	105	26	of	of	ADP
hjic-222	105	27	time	time	NOUN
hjic-222	105	28	axis	axis	NOUN
hjic-222	105	29	and	and	CCONJ
hjic-222	105	30	difference	difference	NOUN
hjic-222	105	31	sampling	sample	VERB
hjic-222	105	32	rates	rate	NOUN
hjic-222	105	33	of	of	ADP
hjic-222	105	34	time	time	NOUN
hjic-222	105	35	series	series	NOUN
hjic-222	105	36	and	and	CCONJ
hjic-222	105	37	the	the	DET
hjic-222	105	38	distance	distance	NOUN
hjic-222	105	39	between	between	ADP
hjic-222	105	40	two	two	NUM
hjic-222	105	41	paa	paa	NOUN
hjic-222	105	42	representations	representation	NOUN
hjic-222	105	43	can	can	AUX
hjic-222	105	44	be	be	AUX
hjic-222	105	45	chosen	choose	VERB
hjic-222	105	46	almost	almost	ADV
hjic-222	105	47	freely	freely	ADV
hjic-222	105	48	;	;	PUNCT
hjic-222	105	49	however	however	ADV
hjic-222	105	50	,	,	PUNCT
hjic-222	105	51	it	it	PRON
hjic-222	105	52	can	can	AUX
hjic-222	105	53	not	not	PART
hjic-222	105	54	handle	handle	VERB
hjic-222	105	55	“	"	PUNCT
hjic-222	105	56	locally	locally	ADV
hjic-222	105	57	elastic	elastic	ADJ
hjic-222	105	58	”	"	PUNCT
hjic-222	105	59	shifts	shift	NOUN
hjic-222	105	60	of	of	ADP
hjic-222	105	61	the	the	DET
hjic-222	105	62	time	time	NOUN
hjic-222	105	63	axis	axis	NOUN
hjic-222	105	64	and	and	CCONJ
hjic-222	105	65	it	it	PRON
hjic-222	105	66	is	be	AUX
hjic-222	105	67	not	not	PART
hjic-222	105	68	enough	enough	ADJ
hjic-222	105	69	tight	tight	ADJ
hjic-222	105	70	representation	representation	NOUN
hjic-222	105	71	for	for	ADP
hjic-222	105	72	most	most	ADJ
hjic-222	105	73	time	time	NOUN
hjic-222	105	74	series	series	NOUN
hjic-222	105	75	as	as	SCONJ
hjic-222	105	76	it	it	PRON
hjic-222	105	77	is	be	AUX
hjic-222	105	78	shown	show	VERB
hjic-222	105	79	in	in	ADP
hjic-222	105	80	fig	fig	NOUN
hjic-222	105	81	.	.	PUNCT
hjic-222	106	1	2	2	X
hjic-222	106	2	.	.	X
hjic-222	106	3	figure	figure	NOUN
hjic-222	106	4	2	2	NUM
hjic-222	106	5	:	:	PUNCT
hjic-222	106	6	the	the	DET
hjic-222	106	7	original	original	ADJ
hjic-222	106	8	signal	signal	NOUN
hjic-222	106	9	(	(	PUNCT
hjic-222	106	10	top	top	NOUN
hjic-222	106	11	)	)	PUNCT
hjic-222	106	12	and	and	CCONJ
hjic-222	106	13	its	its	PRON
hjic-222	106	14	paa	paa	NOUN
hjic-222	106	15	(	(	PUNCT
hjic-222	106	16	middle	middle	ADJ
hjic-222	106	17	)	)	PUNCT
hjic-222	106	18	and	and	CCONJ
hjic-222	106	19	pla	pla	PROPN
hjic-222	106	20	representation	representation	NOUN
hjic-222	106	21	(	(	PUNCT
hjic-222	106	22	bottom	bottom	ADV
hjic-222	106	23	)	)	PUNCT
hjic-222	106	24	using	use	VERB
hjic-222	106	25	10	10	NUM
hjic-222	106	26	segments	segment	NOUN
hjic-222	106	27	to	to	PART
hjic-222	106	28	correct	correct	VERB
hjic-222	106	29	these	these	DET
hjic-222	106	30	faults	fault	NOUN
hjic-222	106	31	,	,	PUNCT
hjic-222	106	32	more	more	ADV
hjic-222	106	33	sophisticated	sophisticated	ADJ
hjic-222	106	34	methods	method	NOUN
hjic-222	106	35	are	be	AUX
hjic-222	106	36	applied	apply	VERB
hjic-222	106	37	such	such	ADJ
hjic-222	106	38	as	as	ADP
hjic-222	106	39	pla	pla	PROPN
hjic-222	106	40	which	which	PRON
hjic-222	106	41	,	,	PUNCT
hjic-222	106	42	however	however	ADV
hjic-222	106	43	,	,	PUNCT
hjic-222	106	44	arise	arise	VERB
hjic-222	106	45	the	the	DET
hjic-222	106	46	„	„	PUNCT
hjic-222	106	47	segmentation	segmentation	NOUN
hjic-222	106	48	problem	problem	NOUN
hjic-222	106	49	”	"	PUNCT
hjic-222	106	50	,	,	PUNCT
hjic-222	106	51	i.e.	i.e.	X
hjic-222	106	52	how	how	SCONJ
hjic-222	106	53	to	to	PART
hjic-222	106	54	segment	segment	VERB
hjic-222	106	55	a	a	DET
hjic-222	106	56	times	time	NOUN
hjic-222	106	57	series	series	NOUN
hjic-222	106	58	quickly	quickly	ADV
hjic-222	106	59	and	and	CCONJ
hjic-222	106	60	how	how	SCONJ
hjic-222	106	61	to	to	PART
hjic-222	106	62	represent	represent	VERB
hjic-222	106	63	each	each	DET
hjic-222	106	64	segment	segment	NOUN
hjic-222	106	65	tight	tight	ADJ
hjic-222	106	66	enough	enough	ADV
hjic-222	106	67	.	.	PUNCT
hjic-222	107	1	segmentation	segmentation	NOUN
hjic-222	107	2	can	can	AUX
hjic-222	107	3	be	be	AUX
hjic-222	107	4	framed	frame	VERB
hjic-222	107	5	in	in	ADP
hjic-222	107	6	several	several	ADJ
hjic-222	107	7	ways	way	NOUN
hjic-222	107	8	[	[	X
hjic-222	107	9	13	13	NUM
hjic-222	107	10	]	]	PUNCT
hjic-222	107	11	,	,	PUNCT
hjic-222	107	12	but	but	CCONJ
hjic-222	107	13	its	its	PRON
hjic-222	107	14	main	main	ADJ
hjic-222	107	15	goal	goal	NOUN
hjic-222	107	16	is	be	AUX
hjic-222	107	17	always	always	ADV
hjic-222	107	18	the	the	DET
hjic-222	107	19	same	same	ADJ
hjic-222	107	20	:	:	PUNCT
hjic-222	107	21	finding	find	VERB
hjic-222	107	22	homogenous	homogenous	ADJ
hjic-222	107	23	segments	segment	NOUN
hjic-222	107	24	by	by	ADP
hjic-222	107	25	the	the	DET
hjic-222	107	26	definition	definition	NOUN
hjic-222	107	27	of	of	ADP
hjic-222	107	28	a	a	DET
hjic-222	107	29	cost	cost	NOUN
hjic-222	107	30	function	function	NOUN
hjic-222	107	31	,	,	PUNCT
hjic-222	107	32	cost(si(a	cost(si(a	PROPN
hjic-222	107	33	,	,	PUNCT
hjic-222	107	34	b	b	NOUN
hjic-222	107	35	)	)	PUNCT
hjic-222	107	36	)	)	PUNCT
hjic-222	107	37	.	.	PUNCT
hjic-222	108	1	this	this	DET
hjic-222	108	2	function	function	NOUN
hjic-222	108	3	can	can	AUX
hjic-222	108	4	be	be	AUX
hjic-222	108	5	any	any	DET
hjic-222	108	6	arbitrary	arbitrary	ADJ
hjic-222	108	7	function	function	NOUN
hjic-222	108	8	which	which	PRON
hjic-222	108	9	projects	project	VERB
hjic-222	108	10	from	from	ADP
hjic-222	108	11	the	the	DET
hjic-222	108	12	space	space	NOUN
hjic-222	108	13	of	of	ADP
hjic-222	108	14	the	the	DET
hjic-222	108	15	time	time	NOUN
hjic-222	108	16	series	series	NOUN
hjic-222	108	17	to	to	ADP
hjic-222	108	18	the	the	DET
hjic-222	108	19	space	space	NOUN
hjic-222	108	20	of	of	ADP
hjic-222	108	21	the	the	DET
hjic-222	108	22	non	non	ADJ
hjic-222	108	23	-	-	ADJ
hjic-222	108	24	negative	negative	ADJ
hjic-222	108	25	real	real	ADJ
hjic-222	108	26	numbers	number	NOUN
hjic-222	108	27	.	.	PUNCT
hjic-222	109	1	usually	usually	ADV
hjic-222	109	2	,	,	PUNCT
hjic-222	109	3	cost(si(a	cost(si(a	PROPN
hjic-222	109	4	,	,	PUNCT
hjic-222	109	5	b	b	NOUN
hjic-222	109	6	)	)	PUNCT
hjic-222	109	7	)	)	PUNCT
hjic-222	109	8	is	be	AUX
hjic-222	109	9	based	base	VERB
hjic-222	109	10	on	on	ADP
hjic-222	109	11	the	the	DET
hjic-222	109	12	distances	distance	NOUN
hjic-222	109	13	between	between	ADP
hjic-222	109	14	the	the	DET
hjic-222	109	15	actual	actual	ADJ
hjic-222	109	16	values	value	NOUN
hjic-222	109	17	of	of	ADP
hjic-222	109	18	the	the	DET
hjic-222	109	19	time	time	NOUN
hjic-222	109	20	series	series	NOUN
hjic-222	109	21	and	and	CCONJ
hjic-222	109	22	the	the	DET
hjic-222	109	23	values	value	NOUN
hjic-222	109	24	given	give	VERB
hjic-222	109	25	by	by	ADP
hjic-222	109	26	a	a	DET
hjic-222	109	27	simple	simple	ADJ
hjic-222	109	28	function	function	NOUN
hjic-222	109	29	f	f	PROPN
hjic-222	109	30	(	(	PUNCT
hjic-222	109	31	constant	constant	ADJ
hjic-222	109	32	or	or	CCONJ
hjic-222	109	33	linear	linear	ADJ
hjic-222	109	34	function	function	NOUN
hjic-222	109	35	,	,	PUNCT
hjic-222	109	36	a	a	DET
hjic-222	109	37	polynomial	polynomial	NOUN
hjic-222	109	38	of	of	ADP
hjic-222	109	39	a	a	DET
hjic-222	109	40	higher	high	ADJ
hjic-222	109	41	but	but	CCONJ
hjic-222	109	42	limited	limited	ADJ
hjic-222	109	43	degree	degree	NOUN
hjic-222	109	44	)	)	PUNCT
hjic-222	109	45	fitted	fit	VERB
hjic-222	109	46	to	to	ADP
hjic-222	109	47	the	the	DET
hjic-222	109	48	data	datum	NOUN
hjic-222	109	49	of	of	ADP
hjic-222	109	50	each	each	DET
hjic-222	109	51	segment	segment	NOUN
hjic-222	109	52	:	:	PUNCT
hjic-222	109	53	∑	∑	PUNCT
hjic-222	110	1	=	=	PUNCT
hjic-222	110	2	+	+	NOUN
hjic-222	110	3	−	−	NOUN
hjic-222	110	4	=	=	SYM
hjic-222	110	5	b	b	PROPN
hjic-222	110	6	al	al	PROPN
hjic-222	110	7	nni	nni	PROPN
hjic-222	110	8	lxflxd	lxflxd	PROPN
hjic-222	110	9	ab	ab	PROPN
hjic-222	110	10	bas	bas	PROPN
hjic-222	110	11	)	)	PUNCT
hjic-222	110	12	)	)	PUNCT
hjic-222	110	13	)	)	PUNCT
hjic-222	110	14	(	(	PUNCT
hjic-222	110	15	(	(	PUNCT
hjic-222	110	16	)	)	PUNCT
hjic-222	110	17	,	,	PUNCT
hjic-222	110	18	(	(	PUNCT
hjic-222	110	19	(	(	PUNCT
hjic-222	110	20	(	(	PUNCT
hjic-222	110	21	1	1	NUM
hjic-222	110	22	1)),((cost	1)),((cost	NUM
hjic-222	110	23	thus	thus	ADV
hjic-222	110	24	,	,	PUNCT
hjic-222	110	25	the	the	DET
hjic-222	110	26	segmentation	segmentation	NOUN
hjic-222	110	27	algorithms	algorithm	VERB
hjic-222	110	28	simultaneously	simultaneously	ADV
hjic-222	110	29	determine	determine	VERB
hjic-222	110	30	the	the	DET
hjic-222	110	31	parameters	parameter	NOUN
hjic-222	110	32	of	of	ADP
hjic-222	110	33	the	the	DET
hjic-222	110	34	models	model	NOUN
hjic-222	110	35	and	and	CCONJ
hjic-222	110	36	the	the	DET
hjic-222	110	37	borders	border	NOUN
hjic-222	110	38	of	of	ADP
hjic-222	110	39	the	the	DET
hjic-222	110	40	segments	segment	NOUN
hjic-222	110	41	by	by	ADP
hjic-222	110	42	minimizing	minimize	VERB
hjic-222	110	43	the	the	DET
hjic-222	110	44	sum	sum	NOUN
hjic-222	110	45	of	of	ADP
hjic-222	110	46	the	the	DET
hjic-222	110	47	costs	cost	NOUN
hjic-222	110	48	of	of	ADP
hjic-222	110	49	the	the	DET
hjic-222	110	50	individual	individual	ADJ
hjic-222	110	51	segments	segment	NOUN
hjic-222	110	52	:	:	PUNCT
hjic-222	110	53	⎟	⎟	X
hjic-222	110	54	⎟	⎟	X
hjic-222	110	55	⎠	⎠	PUNCT
hjic-222	110	56	⎞	⎞	PROPN
hjic-222	110	57	⎜	⎜	PROPN
hjic-222	110	58	⎜	⎜	PROPN
hjic-222	110	59	⎝	⎝	PUNCT
hjic-222	110	60	⎛	⎛	X
hjic-222	110	61	=	=	PUNCT
hjic-222	110	62	∑	∑	PUNCT
hjic-222	110	63	=	=	PUNCT
hjic-222	110	64	c	c	NOUN
hjic-222	111	1	i	i	PRON
hjic-222	112	1	i	i	PRON
hjic-222	112	2	c	c	VERB
hjic-222	112	3	x	x	VERB
hjic-222	112	4	bass	bass	NOUN
hjic-222	112	5	n	n	NOUN
hjic-222	112	6	1	1	NUM
hjic-222	112	7	)	)	PUNCT
hjic-222	112	8	)	)	PUNCT
hjic-222	112	9	)	)	PUNCT
hjic-222	113	1	,	,	PUNCT
hjic-222	113	2	(	(	PUNCT
hjic-222	113	3	(	(	PUNCT
hjic-222	113	4	cost(min)(cost	cost(min)(cost	X
hjic-222	113	5	this	this	DET
hjic-222	113	6	segmentation	segmentation	NOUN
hjic-222	113	7	cost	cost	NOUN
hjic-222	113	8	of	of	ADP
hjic-222	113	9	a	a	DET
hjic-222	113	10	time	time	NOUN
hjic-222	113	11	series	series	NOUN
hjic-222	113	12	can	can	AUX
hjic-222	113	13	be	be	AUX
hjic-222	113	14	minimized	minimize	VERB
hjic-222	113	15	by	by	ADP
hjic-222	113	16	dynamic	dynamic	ADJ
hjic-222	113	17	programming	programming	NOUN
hjic-222	113	18	,	,	PUNCT
hjic-222	113	19	which	which	PRON
hjic-222	113	20	is	be	AUX
hjic-222	113	21	62	62	NUM
hjic-222	113	22	computationally	computationally	ADV
hjic-222	113	23	intractable	intractable	ADJ
hjic-222	113	24	for	for	ADP
hjic-222	113	25	many	many	ADJ
hjic-222	113	26	real	real	ADJ
hjic-222	113	27	datasets	dataset	NOUN
hjic-222	113	28	.	.	PUNCT
hjic-222	114	1	consequently	consequently	ADV
hjic-222	114	2	,	,	PUNCT
hjic-222	114	3	heuristic	heuristic	ADJ
hjic-222	114	4	optimization	optimization	NOUN
hjic-222	114	5	techniques	technique	NOUN
hjic-222	114	6	such	such	ADJ
hjic-222	114	7	as	as	ADP
hjic-222	114	8	greedy	greedy	ADJ
hjic-222	114	9	top	top	ADJ
hjic-222	114	10	-	-	PUNCT
hjic-222	114	11	down	down	NOUN
hjic-222	114	12	or	or	CCONJ
hjic-222	114	13	bottom	bottom	ADJ
hjic-222	114	14	-	-	PUNCT
hjic-222	114	15	up	up	ADP
hjic-222	114	16	techniques	technique	NOUN
hjic-222	114	17	are	be	AUX
hjic-222	114	18	frequently	frequently	ADV
hjic-222	114	19	used	use	VERB
hjic-222	114	20	to	to	PART
hjic-222	114	21	find	find	VERB
hjic-222	114	22	good	good	ADJ
hjic-222	114	23	but	but	CCONJ
hjic-222	114	24	suboptimal	suboptimal	ADJ
hjic-222	114	25	c	c	NOUN
hjic-222	114	26	-	-	PUNCT
hjic-222	114	27	segmentations	segmentation	NOUN
hjic-222	114	28	:	:	PUNCT
hjic-222	114	29	bottom	bottom	NOUN
hjic-222	114	30	-	-	PUNCT
hjic-222	114	31	up	up	NOUN
hjic-222	114	32	:	:	PUNCT
hjic-222	114	33	every	every	DET
hjic-222	114	34	element	element	NOUN
hjic-222	114	35	of	of	ADP
hjic-222	114	36	xn	xn	PROPN
hjic-222	114	37	is	be	AUX
hjic-222	114	38	handled	handle	VERB
hjic-222	114	39	as	as	ADP
hjic-222	114	40	a	a	DET
hjic-222	114	41	segment	segment	NOUN
hjic-222	114	42	.	.	PUNCT
hjic-222	115	1	the	the	DET
hjic-222	115	2	costs	cost	NOUN
hjic-222	115	3	of	of	ADP
hjic-222	115	4	the	the	DET
hjic-222	115	5	adjacent	adjacent	ADJ
hjic-222	115	6	elements	element	NOUN
hjic-222	115	7	are	be	AUX
hjic-222	115	8	calculated	calculate	VERB
hjic-222	115	9	and	and	CCONJ
hjic-222	115	10	two	two	NUM
hjic-222	115	11	elements	element	NOUN
hjic-222	115	12	with	with	ADP
hjic-222	115	13	the	the	DET
hjic-222	115	14	minimum	minimum	ADJ
hjic-222	115	15	cost	cost	NOUN
hjic-222	115	16	are	be	AUX
hjic-222	115	17	merged	merge	VERB
hjic-222	115	18	.	.	PUNCT
hjic-222	116	1	the	the	DET
hjic-222	116	2	merging	merge	VERB
hjic-222	116	3	cost	cost	NOUN
hjic-222	116	4	calculation	calculation	NOUN
hjic-222	116	5	of	of	ADP
hjic-222	116	6	adjacent	adjacent	ADJ
hjic-222	116	7	elements	element	NOUN
hjic-222	116	8	and	and	CCONJ
hjic-222	116	9	the	the	DET
hjic-222	116	10	merging	merging	NOUN
hjic-222	116	11	are	be	AUX
hjic-222	116	12	continued	continue	VERB
hjic-222	116	13	until	until	SCONJ
hjic-222	116	14	some	some	DET
hjic-222	116	15	goal	goal	NOUN
hjic-222	116	16	is	be	AUX
hjic-222	116	17	reached	reach	VERB
hjic-222	116	18	.	.	PUNCT
hjic-222	117	1	top	top	ADJ
hjic-222	117	2	-	-	PUNCT
hjic-222	117	3	down	down	NOUN
hjic-222	117	4	:	:	PUNCT
hjic-222	117	5	the	the	DET
hjic-222	117	6	whole	whole	NOUN
hjic-222	117	7	xn	xn	PROPN
hjic-222	117	8	is	be	AUX
hjic-222	117	9	handled	handle	VERB
hjic-222	117	10	as	as	ADP
hjic-222	117	11	a	a	DET
hjic-222	117	12	segment	segment	NOUN
hjic-222	117	13	.	.	PUNCT
hjic-222	118	1	the	the	DET
hjic-222	118	2	costs	cost	NOUN
hjic-222	118	3	of	of	ADP
hjic-222	118	4	every	every	DET
hjic-222	118	5	possible	possible	ADJ
hjic-222	118	6	split	split	NOUN
hjic-222	118	7	are	be	AUX
hjic-222	118	8	calculated	calculate	VERB
hjic-222	118	9	and	and	CCONJ
hjic-222	118	10	the	the	DET
hjic-222	118	11	one	one	NOUN
hjic-222	118	12	with	with	ADP
hjic-222	118	13	the	the	DET
hjic-222	118	14	minimum	minimum	ADJ
hjic-222	118	15	cost	cost	NOUN
hjic-222	118	16	is	be	AUX
hjic-222	118	17	executed	execute	VERB
hjic-222	118	18	.	.	PUNCT
hjic-222	119	1	the	the	DET
hjic-222	119	2	splitting	splitting	NOUN
hjic-222	119	3	cost	cost	NOUN
hjic-222	119	4	calculation	calculation	NOUN
hjic-222	119	5	and	and	CCONJ
hjic-222	119	6	splitting	splitting	NOUN
hjic-222	119	7	is	be	AUX
hjic-222	119	8	continued	continue	VERB
hjic-222	119	9	recursively	recursively	ADV
hjic-222	119	10	until	until	SCONJ
hjic-222	119	11	some	some	DET
hjic-222	119	12	goal	goal	NOUN
hjic-222	119	13	is	be	AUX
hjic-222	119	14	reached	reach	VERB
hjic-222	119	15	.	.	PUNCT
hjic-222	120	1	sliding	slide	VERB
hjic-222	120	2	window	window	NOUN
hjic-222	120	3	:	:	PUNCT
hjic-222	120	4	the	the	DET
hjic-222	120	5	first	first	ADJ
hjic-222	120	6	segment	segment	NOUN
hjic-222	120	7	is	be	AUX
hjic-222	120	8	started	start	VERB
hjic-222	120	9	with	with	ADP
hjic-222	120	10	the	the	DET
hjic-222	120	11	first	first	ADJ
hjic-222	120	12	element	element	NOUN
hjic-222	120	13	of	of	ADP
hjic-222	120	14	xn	xn	PROPN
hjic-222	120	15	.	.	PUNCT
hjic-222	121	1	this	this	DET
hjic-222	121	2	segment	segment	NOUN
hjic-222	121	3	is	be	AUX
hjic-222	121	4	grown	grow	VERB
hjic-222	121	5	until	until	SCONJ
hjic-222	121	6	its	its	PRON
hjic-222	121	7	cost	cost	NOUN
hjic-222	121	8	exceeds	exceed	VERB
hjic-222	121	9	a	a	DET
hjic-222	121	10	predefined	predefine	VERB
hjic-222	121	11	value	value	NOUN
hjic-222	121	12	.	.	PUNCT
hjic-222	122	1	the	the	DET
hjic-222	122	2	next	next	ADJ
hjic-222	122	3	segment	segment	NOUN
hjic-222	122	4	is	be	AUX
hjic-222	122	5	started	start	VERB
hjic-222	122	6	at	at	ADP
hjic-222	122	7	the	the	DET
hjic-222	122	8	next	next	ADJ
hjic-222	122	9	element	element	NOUN
hjic-222	122	10	.	.	PUNCT
hjic-222	123	1	the	the	DET
hjic-222	123	2	process	process	NOUN
hjic-222	123	3	is	be	AUX
hjic-222	123	4	repeated	repeat	VERB
hjic-222	123	5	until	until	SCONJ
hjic-222	123	6	the	the	DET
hjic-222	123	7	whole	whole	ADJ
hjic-222	123	8	time	time	NOUN
hjic-222	123	9	series	series	PROPN
hjic-222	123	10	is	be	AUX
hjic-222	123	11	segmented	segment	VERB
hjic-222	123	12	.	.	PUNCT
hjic-222	124	1	all	all	PRON
hjic-222	124	2	of	of	ADP
hjic-222	124	3	these	these	DET
hjic-222	124	4	segmentation	segmentation	NOUN
hjic-222	124	5	methods	method	NOUN
hjic-222	124	6	have	have	VERB
hjic-222	124	7	their	their	PRON
hjic-222	124	8	own	own	ADJ
hjic-222	124	9	specific	specific	ADJ
hjic-222	124	10	advantages	advantage	NOUN
hjic-222	124	11	and	and	CCONJ
hjic-222	124	12	drawbacks	drawback	NOUN
hjic-222	124	13	.	.	PUNCT
hjic-222	125	1	accordingly	accordingly	ADV
hjic-222	125	2	,	,	PUNCT
hjic-222	125	3	the	the	DET
hjic-222	125	4	sliding	slide	VERB
hjic-222	125	5	window	window	NOUN
hjic-222	125	6	method	method	NOUN
hjic-222	125	7	is	be	AUX
hjic-222	125	8	not	not	PART
hjic-222	125	9	able	able	ADJ
hjic-222	125	10	to	to	PART
hjic-222	125	11	divide	divide	VERB
hjic-222	125	12	up	up	ADP
hjic-222	125	13	a	a	DET
hjic-222	125	14	sequence	sequence	NOUN
hjic-222	125	15	into	into	ADP
hjic-222	125	16	predefined	predefine	VERB
hjic-222	125	17	number	number	NOUN
hjic-222	125	18	of	of	ADP
hjic-222	125	19	segments	segment	NOUN
hjic-222	125	20	but	but	CCONJ
hjic-222	125	21	this	this	PRON
hjic-222	125	22	is	be	AUX
hjic-222	125	23	the	the	DET
hjic-222	125	24	fastest	fast	ADJ
hjic-222	125	25	method	method	NOUN
hjic-222	125	26	.	.	PUNCT
hjic-222	126	1	the	the	DET
hjic-222	126	2	applied	apply	VERB
hjic-222	126	3	method	method	NOUN
hjic-222	126	4	depends	depend	VERB
hjic-222	126	5	on	on	ADP
hjic-222	126	6	the	the	DET
hjic-222	126	7	acutal	acutal	ADJ
hjic-222	126	8	task	task	NOUN
hjic-222	126	9	.	.	PUNCT
hjic-222	127	1	these	these	DET
hjic-222	127	2	heuristic	heuristic	ADJ
hjic-222	127	3	optimization	optimization	NOUN
hjic-222	127	4	techniques	technique	NOUN
hjic-222	127	5	were	be	AUX
hjic-222	127	6	examined	examine	VERB
hjic-222	127	7	in	in	ADP
hjic-222	127	8	detail	detail	NOUN
hjic-222	127	9	through	through	ADP
hjic-222	127	10	the	the	DET
hjic-222	127	11	application	application	NOUN
hjic-222	127	12	of	of	ADP
hjic-222	127	13	piecewise	piecewise	NOUN
hjic-222	127	14	linear	linear	PROPN
hjic-222	127	15	approximation	approximation	NOUN
hjic-222	127	16	[	[	X
hjic-222	127	17	13	13	NUM
hjic-222	127	18	]	]	PUNCT
hjic-222	127	19	.	.	PUNCT
hjic-222	128	1	it	it	PRON
hjic-222	128	2	can	can	AUX
hjic-222	128	3	be	be	AUX
hjic-222	128	4	stated	state	VERB
hjic-222	128	5	if	if	SCONJ
hjic-222	128	6	real	real	ADJ
hjic-222	128	7	-	-	PUNCT
hjic-222	128	8	time	time	NOUN
hjic-222	128	9	(	(	PUNCT
hjic-222	128	10	on	on	ADP
hjic-222	128	11	-	-	PUNCT
hjic-222	128	12	line	line	NOUN
hjic-222	128	13	)	)	PUNCT
hjic-222	128	14	segmentation	segmentation	NOUN
hjic-222	128	15	is	be	AUX
hjic-222	128	16	not	not	PART
hjic-222	128	17	required	require	VERB
hjic-222	128	18	,	,	PUNCT
hjic-222	128	19	the	the	DET
hjic-222	128	20	best	good	ADJ
hjic-222	128	21	result	result	NOUN
hjic-222	128	22	will	will	AUX
hjic-222	128	23	be	be	AUX
hjic-222	128	24	reached	reach	VERB
hjic-222	128	25	by	by	ADP
hjic-222	128	26	bottom	bottom	ADJ
hjic-222	128	27	-	-	PUNCT
hjic-222	128	28	up	up	ADP
hjic-222	128	29	segmentation	segmentation	NOUN
hjic-222	128	30	.	.	PUNCT
hjic-222	129	1	while	while	SCONJ
hjic-222	129	2	paa	paa	NOUN
hjic-222	129	3	represents	represent	VERB
hjic-222	129	4	an	an	DET
hjic-222	129	5	equal	equal	ADJ
hjic-222	129	6	sized	sized	ADJ
hjic-222	129	7	segment	segment	NOUN
hjic-222	129	8	with	with	ADP
hjic-222	129	9	only	only	ADV
hjic-222	129	10	one	one	NUM
hjic-222	129	11	value	value	NOUN
hjic-222	129	12	,	,	PUNCT
hjic-222	129	13	pla	pla	NOUN
hjic-222	129	14	replaces	replace	VERB
hjic-222	129	15	the	the	DET
hjic-222	129	16	original	original	ADJ
hjic-222	129	17	data	datum	NOUN
hjic-222	129	18	with	with	ADP
hjic-222	129	19	not	not	PART
hjic-222	129	20	equally	equally	ADV
hjic-222	129	21	sized	sized	ADJ
hjic-222	129	22	segments	segment	NOUN
hjic-222	129	23	of	of	ADP
hjic-222	129	24	straight	straight	ADJ
hjic-222	129	25	lines	line	NOUN
hjic-222	129	26	,	,	PUNCT
hjic-222	129	27	i.e.	i.e.	X
hjic-222	129	28	a	a	DET
hjic-222	129	29	pla	pla	NOUN
hjic-222	129	30	segment	segment	NOUN
hjic-222	129	31	of	of	ADP
hjic-222	129	32	x1	x1	PROPN
hjic-222	129	33	is	be	AUX
hjic-222	129	34	a	a	DET
hjic-222	129	35	4	4	NUM
hjic-222	129	36	-	-	PUNCT
hjic-222	129	37	taple	taple	ADJ
hjic-222	129	38	:	:	PUNCT
hjic-222	129	39	[	[	PUNCT
hjic-222	129	40	]	]	X
hjic-222	129	41	iiii	iiii	NOUN
hjic-222	129	42	ylxylxxrxxlxix	ylxylxxrxxlxix	NOUN
hjic-222	129	43	)	)	PUNCT
hjic-222	129	44	(	(	PUNCT
hjic-222	129	45	,	,	PUNCT
hjic-222	129	46	)	)	PUNCT
hjic-222	129	47	(	(	PUNCT
hjic-222	129	48	,	,	PUNCT
hjic-222	129	49	)	)	PUNCT
hjic-222	129	50	(	(	PUNCT
hjic-222	129	51	,	,	PUNCT
hjic-222	129	52	)	)	PUNCT
hjic-222	129	53	(	(	PUNCT
hjic-222	129	54	)	)	PUNCT
hjic-222	129	55	(	(	PUNCT
hjic-222	129	56	11111	11111	NUM
hjic-222	129	57	=	=	SYM
hjic-222	129	58	where	where	SCONJ
hjic-222	129	59	:	:	PUNCT
hjic-222	129	60	x1(xl)i	x1(xl)i	PROPN
hjic-222	129	61	and	and	CCONJ
hjic-222	129	62	x1(xr)i	x1(xr)i	PROPN
hjic-222	129	63	–	–	PUNCT
hjic-222	129	64	left	leave	VERB
hjic-222	129	65	and	and	CCONJ
hjic-222	129	66	right	right	ADJ
hjic-222	129	67	time	time	NOUN
hjic-222	129	68	coordinates	coordinate	NOUN
hjic-222	129	69	of	of	ADP
hjic-222	129	70	the	the	DET
hjic-222	129	71	ith	ith	PROPN
hjic-222	129	72	segment	segment	NOUN
hjic-222	129	73	of	of	ADP
hjic-222	129	74	x1	x1	PROPN
hjic-222	129	75	x1(yl)i	x1(yl)i	PROPN
hjic-222	129	76	and	and	CCONJ
hjic-222	129	77	x1(yr)i	x1(yr)i	PROPN
hjic-222	129	78	–	–	PUNCT
hjic-222	129	79	the	the	DET
hjic-222	129	80	values	value	NOUN
hjic-222	129	81	of	of	ADP
hjic-222	129	82	x1	x1	PROPN
hjic-222	129	83	in	in	ADP
hjic-222	129	84	x1(xl)i	x1(xl)i	PROPN
hjic-222	129	85	and	and	CCONJ
hjic-222	129	86	x1(xr)i	x1(xr)i	PROPN
hjic-222	129	87	.	.	PUNCT
hjic-222	130	1	finding	find	VERB
hjic-222	130	2	the	the	DET
hjic-222	130	3	optimal	optimal	ADJ
hjic-222	130	4	pla	pla	NOUN
hjic-222	130	5	a	a	PRON
hjic-222	130	6	of	of	ADP
hjic-222	130	7	time	time	NOUN
hjic-222	130	8	series	series	NOUN
hjic-222	130	9	and	and	CCONJ
hjic-222	130	10	a	a	DET
hjic-222	130	11	suitable	suitable	ADJ
hjic-222	130	12	distance	distance	NOUN
hjic-222	130	13	for	for	ADP
hjic-222	130	14	this	this	DET
hjic-222	130	15	representation	representation	NOUN
hjic-222	130	16	is	be	AUX
hjic-222	130	17	a	a	DET
hjic-222	130	18	difficult	difficult	ADJ
hjic-222	130	19	task	task	NOUN
hjic-222	130	20	,	,	PUNCT
hjic-222	130	21	that	that	PRON
hjic-222	130	22	usually	usually	ADV
hjic-222	130	23	depends	depend	VERB
hjic-222	130	24	on	on	ADP
hjic-222	130	25	the	the	DET
hjic-222	130	26	application	application	NOUN
hjic-222	130	27	.	.	PUNCT
hjic-222	131	1	however	however	ADV
hjic-222	131	2	,	,	PUNCT
hjic-222	131	3	precison	precison	NOUN
hjic-222	131	4	of	of	ADP
hjic-222	131	5	the	the	DET
hjic-222	131	6	mostly	mostly	ADV
hjic-222	131	7	used	use	VERB
hjic-222	131	8	,	,	PUNCT
hjic-222	131	9	traditional	traditional	ADJ
hjic-222	131	10	euclidean	euclidean	ADJ
hjic-222	131	11	distance	distance	NOUN
hjic-222	131	12	(	(	PUNCT
hjic-222	131	13	or	or	CCONJ
hjic-222	131	14	any	any	DET
hjic-222	131	15	other	other	ADJ
hjic-222	131	16	lp	lp	ADJ
hjic-222	131	17	norm	norm	NOUN
hjic-222	131	18	)	)	PUNCT
hjic-222	131	19	can	can	AUX
hjic-222	131	20	be	be	AUX
hjic-222	131	21	significantly	significantly	ADV
hjic-222	131	22	increased	increase	VERB
hjic-222	131	23	with	with	ADP
hjic-222	131	24	the	the	DET
hjic-222	131	25	application	application	NOUN
hjic-222	131	26	of	of	ADP
hjic-222	131	27	dtw	dtw	PROPN
hjic-222	131	28	.	.	PUNCT
hjic-222	132	1	dynamic	dynamic	ADJ
hjic-222	132	2	time	time	NOUN
hjic-222	132	3	warping	warp	VERB
hjic-222	132	4	the	the	DET
hjic-222	132	5	traditional	traditional	ADJ
hjic-222	132	6	comparision	comparision	NOUN
hjic-222	132	7	approaches	approach	NOUN
hjic-222	132	8	are	be	AUX
hjic-222	132	9	rarely	rarely	ADV
hjic-222	132	10	precise	precise	ADJ
hjic-222	132	11	enough	enough	ADV
hjic-222	132	12	for	for	ADP
hjic-222	132	13	the	the	DET
hjic-222	132	14	most	most	ADJ
hjic-222	132	15	applications	application	NOUN
hjic-222	132	16	.	.	PUNCT
hjic-222	133	1	this	this	PRON
hjic-222	133	2	is	be	AUX
hjic-222	133	3	caused	cause	VERB
hjic-222	133	4	by	by	ADP
hjic-222	133	5	the	the	DET
hjic-222	133	6	brittleness	brittleness	NOUN
hjic-222	133	7	of	of	ADP
hjic-222	133	8	the	the	DET
hjic-222	133	9	conventional	conventional	ADJ
hjic-222	133	10	similarity	similarity	NOUN
hjic-222	133	11	measures	measure	NOUN
hjic-222	133	12	such	such	ADJ
hjic-222	133	13	as	as	ADP
hjic-222	133	14	euclidean	euclidean	ADJ
hjic-222	133	15	distance	distance	NOUN
hjic-222	133	16	.	.	PUNCT
hjic-222	134	1	they	they	PRON
hjic-222	134	2	are	be	AUX
hjic-222	134	3	unable	unable	ADJ
hjic-222	134	4	to	to	PART
hjic-222	134	5	handle	handle	VERB
hjic-222	134	6	the	the	DET
hjic-222	134	7	distortions	distortion	NOUN
hjic-222	134	8	in	in	ADP
hjic-222	134	9	time	time	NOUN
hjic-222	134	10	axis	axis	ADJ
hjic-222	134	11	,	,	PUNCT
hjic-222	134	12	so	so	SCONJ
hjic-222	134	13	these	these	DET
hjic-222	134	14	distortions	distortion	NOUN
hjic-222	134	15	almost	almost	ADV
hjic-222	134	16	randomly	randomly	ADV
hjic-222	134	17	affect	affect	VERB
hjic-222	134	18	the	the	DET
hjic-222	134	19	distance	distance	NOUN
hjic-222	134	20	between	between	ADP
hjic-222	134	21	time	time	NOUN
hjic-222	134	22	series	series	NOUN
hjic-222	134	23	.	.	PUNCT
hjic-222	135	1	the	the	DET
hjic-222	135	2	solution	solution	NOUN
hjic-222	135	3	for	for	ADP
hjic-222	135	4	this	this	DET
hjic-222	135	5	problem	problem	NOUN
hjic-222	135	6	is	be	AUX
hjic-222	135	7	the	the	DET
hjic-222	135	8	application	application	NOUN
hjic-222	135	9	of	of	ADP
hjic-222	135	10	dtw	dtw	NOUN
hjic-222	135	11	which	which	PRON
hjic-222	135	12	can	can	AUX
hjic-222	135	13	“	"	PUNCT
hjic-222	135	14	warp	warp	VERB
hjic-222	135	15	”	"	PUNCT
hjic-222	135	16	the	the	DET
hjic-222	135	17	original	original	ADJ
hjic-222	135	18	time	time	NOUN
hjic-222	135	19	series	series	NOUN
hjic-222	135	20	(	(	PUNCT
hjic-222	135	21	nonlinearly	nonlinearly	ADV
hjic-222	135	22	dilate	dilate	VERB
hjic-222	135	23	or	or	CCONJ
hjic-222	135	24	compress	compress	VERB
hjic-222	135	25	their	their	PRON
hjic-222	135	26	time	time	NOUN
hjic-222	135	27	axes	axis	NOUN
hjic-222	135	28	)	)	PUNCT
hjic-222	135	29	to	to	PART
hjic-222	135	30	be	be	AUX
hjic-222	135	31	similar	similar	ADJ
hjic-222	135	32	in	in	ADP
hjic-222	135	33	shape	shape	NOUN
hjic-222	135	34	to	to	ADP
hjic-222	135	35	the	the	DET
hjic-222	135	36	query	query	NOUN
hjic-222	135	37	series	series	NOUN
hjic-222	135	38	as	as	ADV
hjic-222	135	39	much	much	ADV
hjic-222	135	40	as	as	ADP
hjic-222	135	41	possible	possible	ADJ
hjic-222	135	42	.	.	PUNCT
hjic-222	136	1	to	to	PART
hjic-222	136	2	align	align	VERB
hjic-222	136	3	two	two	NUM
hjic-222	136	4	univariate	univariate	ADJ
hjic-222	136	5	sequences	sequence	NOUN
hjic-222	136	6	(	(	PUNCT
hjic-222	136	7	x1	x1	PROPN
hjic-222	136	8	and	and	CCONJ
hjic-222	136	9	y1	y1	NOUN
hjic-222	136	10	)	)	PUNCT
hjic-222	136	11	with	with	ADP
hjic-222	136	12	dtw	dtw	PROPN
hjic-222	136	13	,	,	PUNCT
hjic-222	136	14	firstly	firstly	ADV
hjic-222	136	15	a	a	DET
hjic-222	136	16	grid	grid	NOUN
hjic-222	136	17	d	d	AUX
hjic-222	136	18	have	have	VERB
hjic-222	136	19	to	to	PART
hjic-222	136	20	be	be	AUX
hjic-222	136	21	defined	define	VERB
hjic-222	136	22	with	with	ADP
hjic-222	136	23	size	size	NOUN
hjic-222	136	24	of	of	ADP
hjic-222	136	25	the	the	DET
hjic-222	136	26	two	two	NUM
hjic-222	136	27	time	time	NOUN
hjic-222	136	28	series	series	NOUN
hjic-222	136	29	(	(	PUNCT
hjic-222	136	30	mx	mx	NOUN
hjic-222	136	31	x	x	SYM
hjic-222	136	32	my	my	PRON
hjic-222	136	33	)	)	PUNCT
hjic-222	136	34	.	.	PUNCT
hjic-222	137	1	each	each	DET
hjic-222	137	2	cell	cell	NOUN
hjic-222	137	3	of	of	ADP
hjic-222	137	4	this	this	DET
hjic-222	137	5	matrix	matrix	NOUN
hjic-222	137	6	represents	represent	VERB
hjic-222	137	7	the	the	DET
hjic-222	137	8	actual	actual	ADJ
hjic-222	137	9	distance	distance	NOUN
hjic-222	137	10	between	between	ADP
hjic-222	137	11	the	the	DET
hjic-222	137	12	appropriate	appropriate	ADJ
hjic-222	137	13	indices	index	NOUN
hjic-222	137	14	of	of	ADP
hjic-222	137	15	the	the	DET
hjic-222	137	16	two	two	NUM
hjic-222	137	17	time	time	NOUN
hjic-222	137	18	series	series	NOUN
hjic-222	137	19	.	.	PUNCT
hjic-222	138	1	in	in	ADP
hjic-222	138	2	this	this	DET
hjic-222	138	3	step	step	NOUN
hjic-222	138	4	,	,	PUNCT
hjic-222	138	5	any	any	DET
hjic-222	138	6	application	application	NOUN
hjic-222	138	7	-	-	PUNCT
hjic-222	138	8	dependent	dependent	ADJ
hjic-222	138	9	distance	distance	NOUN
hjic-222	138	10	like	like	ADP
hjic-222	138	11	l1	l1	PROPN
hjic-222	138	12	and	and	CCONJ
hjic-222	138	13	l∞	l∞	NOUN
hjic-222	138	14	norms	norm	NOUN
hjic-222	138	15	can	can	AUX
hjic-222	138	16	be	be	AUX
hjic-222	138	17	used	use	VERB
hjic-222	138	18	but	but	CCONJ
hjic-222	138	19	generally	generally	ADV
hjic-222	138	20	euclidean	euclidean	ADJ
hjic-222	138	21	distance	distance	NOUN
hjic-222	138	22	is	be	AUX
hjic-222	138	23	suggested	suggest	VERB
hjic-222	138	24	because	because	SCONJ
hjic-222	138	25	it	it	PRON
hjic-222	138	26	allows	allow	VERB
hjic-222	138	27	of	of	ADP
hjic-222	138	28	the	the	DET
hjic-222	138	29	efficient	efficient	ADJ
hjic-222	138	30	indexing	indexing	NOUN
hjic-222	138	31	of	of	ADP
hjic-222	138	32	dtw	dtw	PROPN
hjic-222	138	33	.	.	PUNCT
hjic-222	139	1	considering	consider	VERB
hjic-222	139	2	this	this	PRON
hjic-222	139	3	we	we	PRON
hjic-222	139	4	have	have	VERB
hjic-222	139	5	:	:	PUNCT
hjic-222	139	6	2	2	NUM
hjic-222	139	7	2	2	NUM
hjic-222	139	8	11	11	NUM
hjic-222	139	9	)	)	PUNCT
hjic-222	139	10	)	)	PUNCT
hjic-222	139	11	(	(	PUNCT
hjic-222	139	12	)	)	PUNCT
hjic-222	139	13	(	(	PUNCT
hjic-222	139	14	(	(	PUNCT
hjic-222	139	15	)	)	PUNCT
hjic-222	139	16	,	,	PUNCT
hjic-222	139	17	(	(	PUNCT
hjic-222	139	18	jyixjid	jyixjid	PROPN
hjic-222	139	19	−=	−=	NOUN
hjic-222	139	20	using	use	VERB
hjic-222	139	21	grid	grid	NOUN
hjic-222	139	22	d	d	NOUN
hjic-222	139	23	,	,	PUNCT
hjic-222	139	24	many	many	ADJ
hjic-222	139	25	arbitrary	arbitrary	ADJ
hjic-222	139	26	mappings	mapping	NOUN
hjic-222	139	27	–	–	PUNCT
hjic-222	139	28	called	call	VERB
hjic-222	139	29	warping	warp	VERB
hjic-222	139	30	paths	path	NOUN
hjic-222	139	31	–	–	PUNCT
hjic-222	139	32	can	can	AUX
hjic-222	139	33	be	be	AUX
hjic-222	139	34	created	create	VERB
hjic-222	139	35	between	between	ADP
hjic-222	139	36	x1	x1	PROPN
hjic-222	139	37	and	and	CCONJ
hjic-222	139	38	y1	y1	NOUN
hjic-222	139	39	.	.	PUNCT
hjic-222	140	1	however	however	ADV
hjic-222	140	2	,	,	PUNCT
hjic-222	140	3	the	the	DET
hjic-222	140	4	construction	construction	NOUN
hjic-222	140	5	of	of	ADP
hjic-222	140	6	a	a	DET
hjic-222	140	7	warping	warping	ADJ
hjic-222	140	8	path	path	NOUN
hjic-222	140	9	[	[	X
hjic-222	140	10	p(1),p(2),	p(1),p(2),	NOUN
hjic-222	140	11	…	…	PUNCT
hjic-222	140	12	,p(l	,p(l	PUNCT
hjic-222	140	13	)	)	PUNCT
hjic-222	140	14	]	]	PUNCT
hjic-222	140	15	has	have	VERB
hjic-222	140	16	to	to	PART
hjic-222	140	17	be	be	AUX
hjic-222	140	18	restricted	restrict	VERB
hjic-222	140	19	with	with	ADP
hjic-222	140	20	the	the	DET
hjic-222	140	21	following	follow	VERB
hjic-222	140	22	constraints	constraint	NOUN
hjic-222	140	23	:	:	PUNCT
hjic-222	140	24	boundary	boundary	ADJ
hjic-222	140	25	condition	condition	NOUN
hjic-222	140	26	:	:	PUNCT
hjic-222	140	27	the	the	DET
hjic-222	140	28	path	path	NOUN
hjic-222	140	29	has	have	VERB
hjic-222	140	30	to	to	PART
hjic-222	140	31	start	start	VERB
hjic-222	140	32	in	in	ADP
hjic-222	140	33	d(1,1	d(1,1	NOUN
hjic-222	140	34	)	)	PUNCT
hjic-222	140	35	and	and	CCONJ
hjic-222	140	36	end	end	VERB
hjic-222	140	37	in	in	ADP
hjic-222	140	38	d(mx	d(mx	PROPN
hjic-222	140	39	,	,	PUNCT
hjic-222	140	40	my	my	NOUN
hjic-222	140	41	)	)	PUNCT
hjic-222	140	42	.	.	PUNCT
hjic-222	141	1	monotonicity	monotonicity	NOUN
hjic-222	141	2	:	:	PUNCT
hjic-222	141	3	the	the	DET
hjic-222	141	4	path	path	NOUN
hjic-222	141	5	has	have	VERB
hjic-222	141	6	to	to	PART
hjic-222	141	7	be	be	AUX
hjic-222	141	8	monotonous	monotonous	ADJ
hjic-222	141	9	,	,	PUNCT
hjic-222	141	10	i.e.	i.e.	X
hjic-222	141	11	always	always	ADV
hjic-222	141	12	heading	head	VERB
hjic-222	141	13	from	from	ADP
hjic-222	141	14	d(1,1	d(1,1	NOUN
hjic-222	141	15	)	)	PUNCT
hjic-222	141	16	to	to	ADP
hjic-222	141	17	d(mx	d(mx	PROPN
hjic-222	141	18	,	,	PUNCT
hjic-222	141	19	my	my	NOUN
hjic-222	141	20	)	)	PUNCT
hjic-222	141	21	.	.	PUNCT
hjic-222	142	1	if	if	SCONJ
hjic-222	142	2	p(k	p(k	NOUN
hjic-222	142	3	)	)	PUNCT
hjic-222	142	4	=	=	SYM
hjic-222	142	5	d(i	d(i	PROPN
hjic-222	142	6	,	,	PUNCT
hjic-222	142	7	j	j	PROPN
hjic-222	142	8	)	)	PUNCT
hjic-222	142	9	and	and	CCONJ
hjic-222	142	10	p(k+1	p(k+1	PROPN
hjic-222	142	11	)	)	PUNCT
hjic-222	142	12	=	=	SYM
hjic-222	142	13	d(i’,j	d(i’,j	NOUN
hjic-222	142	14	’	'	PUNCT
hjic-222	142	15	)	)	PUNCT
hjic-222	142	16	then	then	ADV
hjic-222	142	17	i’–i	i’–i	PROPN
hjic-222	142	18	≥	≥	NUM
hjic-222	142	19	0	0	NUM
hjic-222	142	20	and	and	CCONJ
hjic-222	142	21	j’–j	j’–j	PROPN
hjic-222	142	22	≥	≥	PROPN
hjic-222	142	23	0	0	NUM
hjic-222	142	24	.	.	PUNCT
hjic-222	143	1	continuity	continuity	NOUN
hjic-222	143	2	:	:	PUNCT
hjic-222	143	3	the	the	DET
hjic-222	143	4	path	path	NOUN
hjic-222	143	5	has	have	VERB
hjic-222	143	6	to	to	PART
hjic-222	143	7	be	be	AUX
hjic-222	143	8	continuous	continuous	ADJ
hjic-222	143	9	.	.	PUNCT
hjic-222	144	1	if	if	SCONJ
hjic-222	144	2	p(k	p(k	NOUN
hjic-222	144	3	)	)	PUNCT
hjic-222	144	4	=	=	SYM
hjic-222	144	5	d(i	d(i	PROPN
hjic-222	144	6	,	,	PUNCT
hjic-222	144	7	j	j	PROPN
hjic-222	144	8	)	)	PUNCT
hjic-222	144	9	and	and	CCONJ
hjic-222	144	10	p(k+1	p(k+1	PROPN
hjic-222	144	11	)	)	PUNCT
hjic-222	144	12	=	=	SYM
hjic-222	144	13	d(i’,j	d(i’,j	NOUN
hjic-222	144	14	’	'	PUNCT
hjic-222	144	15	)	)	PUNCT
hjic-222	144	16	then	then	ADV
hjic-222	144	17	i’–i	i’–i	VERB
hjic-222	144	18	≤	≤	NUM
hjic-222	144	19	1	1	NUM
hjic-222	144	20	and	and	CCONJ
hjic-222	144	21	j’–j	j’–j	PROPN
hjic-222	144	22	≤	≤	NUM
hjic-222	144	23	1	1	NUM
hjic-222	144	24	.	.	PUNCT
hjic-222	144	25	to	to	PART
hjic-222	144	26	find	find	VERB
hjic-222	144	27	the	the	DET
hjic-222	144	28	optimal	optimal	ADJ
hjic-222	144	29	warping	warping	NOUN
hjic-222	144	30	path	path	NOUN
hjic-222	144	31	(	(	PUNCT
hjic-222	144	32	the	the	DET
hjic-222	144	33	dtw	dtw	PROPN
hjic-222	144	34	distance	distance	NOUN
hjic-222	144	35	of	of	ADP
hjic-222	144	36	the	the	DET
hjic-222	144	37	two	two	NUM
hjic-222	144	38	time	time	NOUN
hjic-222	144	39	series	series	PROPN
hjic-222	144	40	)	)	PUNCT
hjic-222	144	41	,	,	PUNCT
hjic-222	144	42	every	every	DET
hjic-222	144	43	warping	warping	NOUN
hjic-222	144	44	path	path	NOUN
hjic-222	144	45	has	have	VERB
hjic-222	144	46	an	an	DET
hjic-222	144	47	assigned	assign	VERB
hjic-222	144	48	cost	cost	NOUN
hjic-222	144	49	which	which	PRON
hjic-222	144	50	is	be	AUX
hjic-222	144	51	the	the	DET
hjic-222	144	52	sum	sum	NOUN
hjic-222	144	53	of	of	ADP
hjic-222	144	54	values	value	NOUN
hjic-222	144	55	of	of	ADP
hjic-222	144	56	the	the	DET
hjic-222	144	57	affected	affect	VERB
hjic-222	144	58	cells	cell	NOUN
hjic-222	144	59	divided	divide	VERB
hjic-222	144	60	by	by	ADP
hjic-222	144	61	normalization	normalization	NOUN
hjic-222	144	62	constant	constant	ADJ
hjic-222	144	63	k	k	X
hjic-222	144	64	:	:	PUNCT
hjic-222	144	65	⎟	⎟	X
hjic-222	144	66	⎟	⎟	X
hjic-222	144	67	⎟	⎟	X
hjic-222	144	68	⎟	⎟	X
hjic-222	144	69	⎟	⎟	X
hjic-222	144	70	⎠	⎠	PUNCT
hjic-222	144	71	⎞	⎞	PROPN
hjic-222	144	72	⎜	⎜	PROPN
hjic-222	144	73	⎜	⎜	PROPN
hjic-222	144	74	⎜	⎜	PROPN
hjic-222	144	75	⎜	⎜	PROPN
hjic-222	144	76	⎜	⎜	PROPN
hjic-222	144	77	⎝	⎝	PUNCT
hjic-222	144	78	⎛	⎛	X
hjic-222	144	79	=	=	PUNCT
hjic-222	144	80	∑	∑	PUNCT
hjic-222	144	81	=	=	SYM
hjic-222	144	82	k	k	X
hjic-222	144	83	ip	ip	NUM
hjic-222	144	84	yxd	yxd	NOUN
hjic-222	145	1	l	l	NOUN
hjic-222	146	1	i	i	PRON
hjic-222	146	2	dtw	dtw	VERB
hjic-222	146	3	1	1	NUM
hjic-222	146	4	11	11	NUM
hjic-222	146	5	)	)	PUNCT
hjic-222	146	6	(	(	PUNCT
hjic-222	146	7	min	min	NOUN
hjic-222	146	8	)	)	PUNCT
hjic-222	146	9	,	,	PUNCT
hjic-222	146	10	(	(	PUNCT
hjic-222	146	11	the	the	DET
hjic-222	146	12	value	value	NOUN
hjic-222	146	13	of	of	ADP
hjic-222	146	14	k	k	PROPN
hjic-222	146	15	depends	depend	VERB
hjic-222	146	16	on	on	ADP
hjic-222	146	17	the	the	DET
hjic-222	146	18	application	application	NOUN
hjic-222	146	19	and	and	CCONJ
hjic-222	146	20	in	in	ADP
hjic-222	146	21	most	most	ADJ
hjic-222	146	22	cases	case	NOUN
hjic-222	146	23	this	this	PRON
hjic-222	146	24	is	be	AUX
hjic-222	146	25	the	the	DET
hjic-222	146	26	length	length	NOUN
hjic-222	146	27	of	of	ADP
hjic-222	146	28	the	the	DET
hjic-222	146	29	path	path	NOUN
hjic-222	146	30	,	,	PUNCT
hjic-222	146	31	but	but	CCONJ
hjic-222	146	32	it	it	PRON
hjic-222	146	33	can	can	AUX
hjic-222	146	34	also	also	ADV
hjic-222	146	35	be	be	AUX
hjic-222	146	36	omitted	omit	VERB
hjic-222	146	37	.	.	PUNCT
hjic-222	147	1	more	more	ADJ
hjic-222	147	2	information	information	NOUN
hjic-222	147	3	about	about	ADP
hjic-222	147	4	the	the	DET
hjic-222	147	5	method	method	NOUN
hjic-222	147	6	of	of	ADP
hjic-222	147	7	defining	define	VERB
hjic-222	147	8	k	k	PROPN
hjic-222	147	9	and	and	CCONJ
hjic-222	147	10	its	its	PRON
hjic-222	147	11	significance	significance	NOUN
hjic-222	147	12	can	can	AUX
hjic-222	147	13	be	be	AUX
hjic-222	147	14	found	find	VERB
hjic-222	147	15	in	in	ADP
hjic-222	147	16	[	[	X
hjic-222	147	17	14	14	NUM
hjic-222	147	18	]	]	PUNCT
hjic-222	147	19	.	.	PUNCT
hjic-222	148	1	note	note	VERB
hjic-222	148	2	that	that	SCONJ
hjic-222	148	3	the	the	DET
hjic-222	148	4	euclidean	euclidean	ADJ
hjic-222	148	5	distance	distance	NOUN
hjic-222	148	6	is	be	AUX
hjic-222	148	7	a	a	DET
hjic-222	148	8	special	special	ADJ
hjic-222	148	9	case	case	NOUN
hjic-222	148	10	of	of	ADP
hjic-222	148	11	dtw	dtw	PROPN
hjic-222	148	12	,	,	PUNCT
hjic-222	148	13	i.e.	i.e.	X
hjic-222	148	14	we	we	PRON
hjic-222	148	15	choose	choose	VERB
hjic-222	148	16	the	the	DET
hjic-222	148	17	path	path	NOUN
hjic-222	148	18	that	that	PRON
hjic-222	148	19	is	be	AUX
hjic-222	148	20	located	locate	VERB
hjic-222	148	21	on	on	ADP
hjic-222	148	22	the	the	DET
hjic-222	148	23	diagonal	diagonal	NOUN
hjic-222	148	24	of	of	ADP
hjic-222	148	25	grid	grid	NOUN
hjic-222	148	26	d	d	PROPN
hjic-222	148	27	and	and	CCONJ
hjic-222	148	28	k	k	NOUN
hjic-222	148	29	=	=	SYM
hjic-222	148	30	1	1	X
hjic-222	148	31	.	.	X
hjic-222	148	32	figure	figure	NOUN
hjic-222	148	33	3	3	NUM
hjic-222	148	34	:	:	PUNCT
hjic-222	148	35	cumulative	cumulative	ADJ
hjic-222	148	36	distance	distance	NOUN
hjic-222	148	37	matrix	matrix	NOUN
hjic-222	148	38	d	d	NOUN
hjic-222	148	39	and	and	CCONJ
hjic-222	148	40	the	the	DET
hjic-222	148	41	optimal	optimal	ADJ
hjic-222	148	42	warping	warping	NOUN
hjic-222	148	43	path	path	NOUN
hjic-222	148	44	on	on	ADP
hjic-222	148	45	it	it	PRON
hjic-222	148	46	63	63	NUM
hjic-222	148	47	obviously	obviously	ADV
hjic-222	148	48	,	,	PUNCT
hjic-222	148	49	the	the	DET
hjic-222	148	50	number	number	NOUN
hjic-222	148	51	of	of	ADP
hjic-222	148	52	paths	path	NOUN
hjic-222	148	53	exponentially	exponentially	ADV
hjic-222	148	54	grows	grow	VERB
hjic-222	148	55	by	by	ADP
hjic-222	148	56	the	the	DET
hjic-222	148	57	size	size	NOUN
hjic-222	148	58	of	of	ADP
hjic-222	148	59	time	time	NOUN
hjic-222	148	60	series	series	NOUN
hjic-222	148	61	.	.	PUNCT
hjic-222	149	1	fortunately	fortunately	ADV
hjic-222	149	2	,	,	PUNCT
hjic-222	149	3	the	the	DET
hjic-222	149	4	optimal	optimal	ADJ
hjic-222	149	5	path	path	NOUN
hjic-222	149	6	can	can	AUX
hjic-222	149	7	be	be	AUX
hjic-222	149	8	found	find	VERB
hjic-222	149	9	in	in	ADP
hjic-222	149	10	o(mxmy	o(mxmy	ADJ
hjic-222	149	11	)	)	PUNCT
hjic-222	149	12	time	time	NOUN
hjic-222	149	13	with	with	ADP
hjic-222	149	14	the	the	DET
hjic-222	149	15	help	help	NOUN
hjic-222	149	16	of	of	ADP
hjic-222	149	17	dynamic	dynamic	ADJ
hjic-222	149	18	programming	programming	NOUN
hjic-222	149	19	using	use	VERB
hjic-222	149	20	cumulative	cumulative	ADJ
hjic-222	149	21	distance	distance	NOUN
hjic-222	149	22	matrix	matrix	NOUN
hjic-222	149	23	d.	d.	NOUN
hjic-222	149	24	a	a	DET
hjic-222	149	25	cell	cell	NOUN
hjic-222	149	26	of	of	ADP
hjic-222	149	27	the	the	DET
hjic-222	149	28	cumulative	cumulative	ADJ
hjic-222	149	29	matrix	matrix	NOUN
hjic-222	149	30	contains	contain	VERB
hjic-222	149	31	the	the	DET
hjic-222	149	32	sum	sum	NOUN
hjic-222	149	33	of	of	ADP
hjic-222	149	34	the	the	DET
hjic-222	149	35	appropriate	appropriate	ADJ
hjic-222	149	36	cell	cell	NOUN
hjic-222	149	37	value	value	NOUN
hjic-222	149	38	in	in	ADP
hjic-222	149	39	matrix	matrix	NOUN
hjic-222	149	40	d	d	NOUN
hjic-222	149	41	and	and	CCONJ
hjic-222	149	42	the	the	DET
hjic-222	149	43	minimum	minimum	NOUN
hjic-222	149	44	of	of	ADP
hjic-222	149	45	the	the	DET
hjic-222	149	46	three	three	NUM
hjic-222	149	47	cells	cell	NOUN
hjic-222	149	48	from	from	ADP
hjic-222	149	49	where	where	SCONJ
hjic-222	149	50	the	the	DET
hjic-222	149	51	cell	cell	NOUN
hjic-222	149	52	can	can	AUX
hjic-222	149	53	be	be	AUX
hjic-222	149	54	reached	reach	VERB
hjic-222	149	55	:	:	PUNCT
hjic-222	149	56	⎥	⎥	PROPN
hjic-222	149	57	⎥	⎥	PROPN
hjic-222	149	58	⎥	⎥	PROPN
hjic-222	149	59	⎦	⎦	NOUN
hjic-222	149	60	⎤	⎤	ADJ
hjic-222	149	61	⎢	⎢	NOUN
hjic-222	149	62	⎢	⎢	NOUN
hjic-222	149	63	⎢	⎢	NOUN
hjic-222	149	64	⎣	⎣	PROPN
hjic-222	149	65	⎡	⎡	NOUN
hjic-222	149	66	+	+	NOUN
hjic-222	149	67	−−	−−	NOUN
hjic-222	149	68	+	+	NOUN
hjic-222	150	1	−	−	PROPN
hjic-222	150	2	+	+	ADJ
hjic-222	150	3	−	−	NOUN
hjic-222	150	4	=	=	SYM
hjic-222	150	5	)	)	PUNCT
hjic-222	150	6	,	,	PUNCT
hjic-222	150	7	(	(	PUNCT
hjic-222	150	8	d)1,1(d	d)1,1(d	NOUN
hjic-222	150	9	)	)	PUNCT
hjic-222	150	10	,	,	PUNCT
hjic-222	150	11	(	(	PUNCT
hjic-222	150	12	d)1,(d	d)1,(d	PROPN
hjic-222	150	13	)	)	PUNCT
hjic-222	150	14	,	,	PUNCT
hjic-222	150	15	(	(	PUNCT
hjic-222	150	16	d),1(d	d),1(d	NOUN
hjic-222	150	17	min),(d	min),(d	PROPN
hjic-222	150	18	jiji	jiji	PROPN
hjic-222	150	19	jiji	jiji	PROPN
hjic-222	150	20	jiji	jiji	PROPN
hjic-222	151	1	ji	ji	PROPN
hjic-222	152	1	the	the	DET
hjic-222	152	2	dtw	dtw	PROPN
hjic-222	152	3	distance	distance	NOUN
hjic-222	152	4	between	between	ADP
hjic-222	152	5	the	the	DET
hjic-222	152	6	two	two	NUM
hjic-222	152	7	time	time	NOUN
hjic-222	152	8	series	series	NOUN
hjic-222	152	9	can	can	AUX
hjic-222	152	10	be	be	AUX
hjic-222	152	11	found	find	VERB
hjic-222	152	12	in	in	ADP
hjic-222	152	13	d(mx	d(mx	PROPN
hjic-222	152	14	,	,	PUNCT
hjic-222	152	15	my	my	NOUN
hjic-222	152	16	)	)	PUNCT
hjic-222	152	17	.	.	PUNCT
hjic-222	153	1	warping	warp	VERB
hjic-222	153	2	the	the	DET
hjic-222	153	3	representations	representation	NOUN
hjic-222	153	4	dtw	dtw	PROPN
hjic-222	153	5	can	can	AUX
hjic-222	153	6	be	be	AUX
hjic-222	153	7	applied	apply	VERB
hjic-222	153	8	easily	easily	ADV
hjic-222	153	9	on	on	ADP
hjic-222	153	10	the	the	DET
hjic-222	153	11	paa	paa	NOUN
hjic-222	153	12	representations	representation	NOUN
hjic-222	153	13	of	of	ADP
hjic-222	153	14	univariate	univariate	ADJ
hjic-222	153	15	time	time	NOUN
hjic-222	153	16	series	series	NOUN
hjic-222	153	17	.	.	PUNCT
hjic-222	154	1	each	each	DET
hjic-222	154	2	segment	segment	NOUN
hjic-222	154	3	is	be	AUX
hjic-222	154	4	represented	represent	VERB
hjic-222	154	5	by	by	ADP
hjic-222	154	6	its	its	PRON
hjic-222	154	7	mean	mean	NOUN
hjic-222	154	8	,	,	PUNCT
hjic-222	154	9	thus	thus	ADV
hjic-222	154	10	the	the	DET
hjic-222	154	11	dtw	dtw	PROPN
hjic-222	154	12	algorithm	algorithm	NOUN
hjic-222	154	13	is	be	AUX
hjic-222	154	14	the	the	DET
hjic-222	154	15	same	same	ADJ
hjic-222	154	16	as	as	ADP
hjic-222	154	17	for	for	ADP
hjic-222	154	18	the	the	DET
hjic-222	154	19	original	original	ADJ
hjic-222	154	20	time	time	NOUN
hjic-222	154	21	series	series	NOUN
hjic-222	154	22	but	but	CCONJ
hjic-222	154	23	the	the	DET
hjic-222	154	24	computational	computational	ADJ
hjic-222	154	25	time	time	NOUN
hjic-222	154	26	is	be	AUX
hjic-222	154	27	lowered	lower	VERB
hjic-222	154	28	to	to	ADP
hjic-222	154	29	o((m	o((m	NOUN
hjic-222	154	30	/	/	SYM
hjic-222	154	31	n)2	n)2	NOUN
hjic-222	154	32	)	)	PUNCT
hjic-222	154	33	.	.	PUNCT
hjic-222	155	1	warping	warp	VERB
hjic-222	155	2	the	the	DET
hjic-222	155	3	pla	pla	NOUN
hjic-222	155	4	representation	representation	NOUN
hjic-222	155	5	is	be	AUX
hjic-222	155	6	much	much	ADV
hjic-222	155	7	more	more	ADV
hjic-222	155	8	difficult	difficult	ADJ
hjic-222	155	9	.	.	PUNCT
hjic-222	156	1	vullings	vulling	NOUN
hjic-222	156	2	et	et	PROPN
hjic-222	156	3	al	al	PROPN
hjic-222	156	4	.	.	PUNCT
hjic-222	157	1	[	[	X
hjic-222	157	2	15	15	NUM
hjic-222	157	3	]	]	PUNCT
hjic-222	157	4	were	be	AUX
hjic-222	157	5	the	the	DET
hjic-222	157	6	first	first	ADJ
hjic-222	157	7	to	to	PART
hjic-222	157	8	use	use	VERB
hjic-222	157	9	pla	pla	NOUN
hjic-222	157	10	based	base	VERB
hjic-222	157	11	dtw	dtw	PROPN
hjic-222	157	12	on	on	ADP
hjic-222	157	13	ecg	ecg	PROPN
hjic-222	157	14	data	data	PROPN
hjic-222	157	15	while	while	SCONJ
hjic-222	157	16	keogh	keogh	PROPN
hjic-222	157	17	and	and	CCONJ
hjic-222	157	18	pazzani	pazzani	NOUN
hjic-222	157	19	[	[	X
hjic-222	157	20	10	10	NUM
hjic-222	157	21	]	]	PUNCT
hjic-222	157	22	gave	give	VERB
hjic-222	157	23	a	a	DET
hjic-222	157	24	generalized	generalized	ADJ
hjic-222	157	25	distance	distance	NOUN
hjic-222	157	26	between	between	ADP
hjic-222	157	27	pla	pla	NOUN
hjic-222	157	28	segments	segment	NOUN
hjic-222	157	29	which	which	PRON
hjic-222	157	30	can	can	AUX
hjic-222	157	31	be	be	AUX
hjic-222	157	32	used	use	VERB
hjic-222	157	33	to	to	PART
hjic-222	157	34	fill	fill	VERB
hjic-222	157	35	matrix	matrix	NOUN
hjic-222	157	36	d	d	NOUN
hjic-222	157	37	:	:	PUNCT
hjic-222	157	38	2	2	NUM
hjic-222	157	39	11	11	NUM
hjic-222	157	40	2	2	NUM
hjic-222	157	41	)	)	PUNCT
hjic-222	157	42	(	(	PUNCT
hjic-222	157	43	)	)	PUNCT
hjic-222	157	44	(	(	PUNCT
hjic-222	157	45	2	2	NUM
hjic-222	157	46	)	)	PUNCT
hjic-222	157	47	(	(	PUNCT
hjic-222	157	48	)	)	PUNCT
hjic-222	157	49	(	(	PUNCT
hjic-222	157	50	)	)	PUNCT
hjic-222	157	51	)	)	PUNCT
hjic-222	157	52	(	(	PUNCT
hjic-222	157	53	)	)	PUNCT
hjic-222	157	54	,	,	PUNCT
hjic-222	157	55	(	(	PUNCT
hjic-222	157	56	(	(	PUNCT
hjic-222	157	57	⎟	⎟	X
hjic-222	157	58	⎠	⎠	PUNCT
hjic-222	157	59	⎞	⎞	VERB
hjic-222	157	60	⎜	⎜	PROPN
hjic-222	157	61	⎝	⎝	X
hjic-222	157	62	⎛	⎛	NOUN
hjic-222	157	63	+	+	CCONJ
hjic-222	157	64	−	−	X
hjic-222	157	65	+	+	CCONJ
hjic-222	157	66	=	=	NOUN
hjic-222	157	67	iiii	iiii	NOUN
hjic-222	157	68	yryylyyrxylxjyixd	yryylyyrxylxjyixd	PROPN
hjic-222	157	69	as	as	SCONJ
hjic-222	157	70	it	it	PRON
hjic-222	157	71	can	can	AUX
hjic-222	157	72	be	be	AUX
hjic-222	157	73	seen	see	VERB
hjic-222	157	74	this	this	DET
hjic-222	157	75	distance	distance	NOUN
hjic-222	157	76	arises	arise	VERB
hjic-222	157	77	from	from	ADP
hjic-222	157	78	paa	paa	PROPN
hjic-222	157	79	:	:	PUNCT
hjic-222	157	80	it	it	PRON
hjic-222	157	81	compares	compare	VERB
hjic-222	157	82	the	the	DET
hjic-222	157	83	means	mean	NOUN
hjic-222	157	84	of	of	ADP
hjic-222	157	85	the	the	DET
hjic-222	157	86	corresponding	correspond	VERB
hjic-222	157	87	segments	segment	NOUN
hjic-222	157	88	but	but	CCONJ
hjic-222	157	89	it	it	PRON
hjic-222	157	90	utilizes	utilize	VERB
hjic-222	157	91	the	the	DET
hjic-222	157	92	tighter	tight	ADJ
hjic-222	157	93	pla	pla	NOUN
hjic-222	157	94	representation	representation	NOUN
hjic-222	157	95	.	.	PUNCT
hjic-222	158	1	however	however	ADV
hjic-222	158	2	,	,	PUNCT
hjic-222	158	3	this	this	DET
hjic-222	158	4	tighter	tight	ADJ
hjic-222	158	5	representation	representation	NOUN
hjic-222	158	6	,	,	PUNCT
hjic-222	158	7	i.e.	i.e.	X
hjic-222	158	8	the	the	DET
hjic-222	158	9	different	different	ADJ
hjic-222	158	10	length	length	NOUN
hjic-222	158	11	of	of	ADP
hjic-222	158	12	the	the	DET
hjic-222	158	13	segments	segment	NOUN
hjic-222	158	14	,	,	PUNCT
hjic-222	158	15	introduces	introduce	VERB
hjic-222	158	16	a	a	DET
hjic-222	158	17	new	new	ADJ
hjic-222	158	18	problem	problem	NOUN
hjic-222	158	19	.	.	PUNCT
hjic-222	159	1	the	the	DET
hjic-222	159	2	normalization	normalization	NOUN
hjic-222	159	3	constant	constant	ADJ
hjic-222	159	4	k	k	PROPN
hjic-222	159	5	usually	usually	ADV
hjic-222	159	6	based	base	VERB
hjic-222	159	7	on	on	ADP
hjic-222	159	8	the	the	DET
hjic-222	159	9	length	length	NOUN
hjic-222	159	10	of	of	ADP
hjic-222	159	11	the	the	DET
hjic-222	159	12	warping	warping	ADJ
hjic-222	159	13	path	path	NOUN
hjic-222	159	14	but	but	CCONJ
hjic-222	159	15	pla	pla	NOUN
hjic-222	159	16	,	,	PUNCT
hjic-222	159	17	contrary	contrary	ADJ
hjic-222	159	18	to	to	PART
hjic-222	159	19	paa	paa	VERB
hjic-222	159	20	,	,	PUNCT
hjic-222	159	21	does	do	AUX
hjic-222	159	22	not	not	PART
hjic-222	159	23	generate	generate	VERB
hjic-222	159	24	equidistant	equidistant	ADJ
hjic-222	159	25	segments	segment	NOUN
hjic-222	159	26	.	.	PUNCT
hjic-222	160	1	thus	thus	ADV
hjic-222	160	2	,	,	PUNCT
hjic-222	160	3	keogh	keogh	PROPN
hjic-222	160	4	and	and	CCONJ
hjic-222	160	5	pazzani	pazzani	NOUN
hjic-222	160	6	suggested	suggest	VERB
hjic-222	160	7	to	to	PART
hjic-222	160	8	recursively	recursively	ADV
hjic-222	160	9	sum	sum	VERB
hjic-222	160	10	an	an	DET
hjic-222	160	11	additional	additional	ADJ
hjic-222	160	12	variable	variable	NOUN
hjic-222	160	13	on	on	ADP
hjic-222	160	14	the	the	DET
hjic-222	160	15	warping	warping	ADJ
hjic-222	160	16	path	path	NOUN
hjic-222	160	17	which	which	PRON
hjic-222	160	18	stores	store	VERB
hjic-222	160	19	the	the	DET
hjic-222	160	20	lengths	length	NOUN
hjic-222	160	21	of	of	ADP
hjic-222	160	22	the	the	DET
hjic-222	160	23	visited	visit	VERB
hjic-222	160	24	segments	segment	NOUN
hjic-222	160	25	.	.	PUNCT
hjic-222	161	1	pca	pca	NOUN
hjic-222	161	2	driven	drive	VERB
hjic-222	161	3	similarity	similarity	NOUN
hjic-222	161	4	of	of	ADP
hjic-222	161	5	pla	pla	PROPN
hjic-222	161	6	representation	representation	NOUN
hjic-222	161	7	as	as	SCONJ
hjic-222	161	8	it	it	PRON
hjic-222	161	9	was	be	AUX
hjic-222	161	10	mentioned	mention	VERB
hjic-222	161	11	before	before	SCONJ
hjic-222	161	12	many	many	ADJ
hjic-222	161	13	problems	problem	NOUN
hjic-222	161	14	arise	arise	VERB
hjic-222	161	15	when	when	SCONJ
hjic-222	161	16	one	one	PRON
hjic-222	161	17	would	would	AUX
hjic-222	161	18	like	like	VERB
hjic-222	161	19	to	to	PART
hjic-222	161	20	use	use	VERB
hjic-222	161	21	data	datum	NOUN
hjic-222	161	22	mining	mining	NOUN
hjic-222	161	23	alogrithms	alogrithm	NOUN
hjic-222	161	24	on	on	ADP
hjic-222	161	25	highly	highly	ADV
hjic-222	161	26	correlated	correlate	VERB
hjic-222	161	27	mutivariate	mutivariate	ADJ
hjic-222	161	28	time	time	PROPN
hjic-222	161	29	series	series	PROPN
hjic-222	161	30	data	data	PROPN
hjic-222	161	31	.	.	PUNCT
hjic-222	162	1	the	the	DET
hjic-222	162	2	high	high	ADJ
hjic-222	162	3	amount	amount	NOUN
hjic-222	162	4	of	of	ADP
hjic-222	162	5	data	datum	NOUN
hjic-222	162	6	requires	require	VERB
hjic-222	162	7	some	some	DET
hjic-222	162	8	reduction	reduction	NOUN
hjic-222	162	9	techniques	technique	NOUN
hjic-222	162	10	.	.	PUNCT
hjic-222	163	1	in	in	ADP
hjic-222	163	2	chemical	chemical	NOUN
hjic-222	163	3	process	process	NOUN
hjic-222	163	4	engineering	engineering	NOUN
hjic-222	163	5	,	,	PUNCT
hjic-222	163	6	usually	usually	ADV
hjic-222	163	7	pca	pca	PROPN
hjic-222	163	8	is	be	AUX
hjic-222	163	9	used	use	VERB
hjic-222	163	10	to	to	PART
hjic-222	163	11	create	create	VERB
hjic-222	163	12	univariate	univariate	ADJ
hjic-222	163	13	time	time	NOUN
hjic-222	163	14	series	series	NOUN
hjic-222	163	15	from	from	ADP
hjic-222	163	16	the	the	DET
hjic-222	163	17	multivariate	multivariate	NOUN
hjic-222	163	18	data	datum	NOUN
hjic-222	163	19	because	because	SCONJ
hjic-222	163	20	pca	pca	PROPN
hjic-222	163	21	preserves	preserve	VERB
hjic-222	163	22	the	the	DET
hjic-222	163	23	correlation	correlation	NOUN
hjic-222	163	24	of	of	ADP
hjic-222	163	25	the	the	DET
hjic-222	163	26	original	original	ADJ
hjic-222	163	27	time	time	NOUN
hjic-222	163	28	series	series	NOUN
hjic-222	163	29	which	which	PRON
hjic-222	163	30	is	be	AUX
hjic-222	163	31	definitely	definitely	ADV
hjic-222	163	32	an	an	DET
hjic-222	163	33	important	important	ADJ
hjic-222	163	34	factor	factor	NOUN
hjic-222	163	35	to	to	PART
hjic-222	163	36	consider	consider	VERB
hjic-222	163	37	.	.	PUNCT
hjic-222	164	1	the	the	DET
hjic-222	164	2	generated	generate	VERB
hjic-222	164	3	univariate	univariate	ADJ
hjic-222	164	4	time	time	NOUN
hjic-222	164	5	series	series	PROPN
hjic-222	164	6	make	make	VERB
hjic-222	164	7	it	it	PRON
hjic-222	164	8	possible	possible	ADJ
hjic-222	164	9	to	to	PART
hjic-222	164	10	use	use	VERB
hjic-222	164	11	traditional	traditional	ADJ
hjic-222	164	12	segmentation	segmentation	NOUN
hjic-222	164	13	techniques	technique	NOUN
hjic-222	164	14	which	which	PRON
hjic-222	164	15	are	be	AUX
hjic-222	164	16	often	often	ADV
hjic-222	164	17	required	require	VERB
hjic-222	164	18	for	for	ADP
hjic-222	164	19	two	two	NUM
hjic-222	164	20	reasons	reason	NOUN
hjic-222	164	21	:	:	PUNCT
hjic-222	164	22	first	first	ADV
hjic-222	164	23	,	,	PUNCT
hjic-222	164	24	the	the	DET
hjic-222	164	25	highly	highly	ADV
hjic-222	164	26	appreciated	appreciated	ADJ
hjic-222	164	27	dtw	dtw	PROPN
hjic-222	164	28	algorithm	algorithm	NOUN
hjic-222	164	29	computational	computational	ADJ
hjic-222	164	30	extensive	extensive	ADJ
hjic-222	164	31	thus	thus	ADV
hjic-222	164	32	further	further	ADJ
hjic-222	164	33	data	data	NOUN
hjic-222	164	34	compression	compression	NOUN
hjic-222	164	35	is	be	AUX
hjic-222	164	36	advised	advise	VERB
hjic-222	164	37	and	and	CCONJ
hjic-222	164	38	second	second	ADJ
hjic-222	164	39	,	,	PUNCT
hjic-222	164	40	process	process	NOUN
hjic-222	164	41	transitions	transition	NOUN
hjic-222	164	42	and	and	CCONJ
hjic-222	164	43	frauds	fraud	NOUN
hjic-222	164	44	can	can	AUX
hjic-222	164	45	be	be	AUX
hjic-222	164	46	revealed	reveal	VERB
hjic-222	164	47	by	by	ADP
hjic-222	164	48	segmentation	segmentation	NOUN
hjic-222	164	49	.	.	PUNCT
hjic-222	165	1	considering	consider	VERB
hjic-222	165	2	the	the	DET
hjic-222	165	3	previously	previously	ADV
hjic-222	165	4	mentioned	mention	VERB
hjic-222	165	5	,	,	PUNCT
hjic-222	165	6	paa	paa	NOUN
hjic-222	165	7	is	be	AUX
hjic-222	165	8	not	not	PART
hjic-222	165	9	suitable	suitable	ADJ
hjic-222	165	10	for	for	ADP
hjic-222	165	11	our	our	PRON
hjic-222	165	12	purposes	purpose	NOUN
hjic-222	165	13	because	because	SCONJ
hjic-222	165	14	the	the	DET
hjic-222	165	15	segments	segment	NOUN
hjic-222	165	16	are	be	AUX
hjic-222	165	17	equidistant	equidistant	ADJ
hjic-222	165	18	and	and	CCONJ
hjic-222	165	19	they	they	PRON
hjic-222	165	20	are	be	AUX
hjic-222	165	21	represented	represent	VERB
hjic-222	165	22	by	by	ADP
hjic-222	165	23	their	their	PRON
hjic-222	165	24	means	mean	NOUN
hjic-222	165	25	,	,	PUNCT
hjic-222	165	26	hence	hence	ADV
hjic-222	165	27	paa	paa	VERB
hjic-222	165	28	representation	representation	NOUN
hjic-222	165	29	lost	lose	VERB
hjic-222	165	30	the	the	DET
hjic-222	165	31	direction	direction	NOUN
hjic-222	165	32	of	of	ADP
hjic-222	165	33	the	the	DET
hjic-222	165	34	latent	latent	NOUN
hjic-222	165	35	variable	variable	NOUN
hjic-222	165	36	in	in	ADP
hjic-222	165	37	each	each	DET
hjic-222	165	38	segment	segment	NOUN
hjic-222	165	39	.	.	PUNCT
hjic-222	166	1	pla	pla	PROPN
hjic-222	166	2	generates	generate	VERB
hjic-222	166	3	a	a	DET
hjic-222	166	4	much	much	ADV
hjic-222	166	5	tighter	tight	ADJ
hjic-222	166	6	representation	representation	NOUN
hjic-222	166	7	and	and	CCONJ
hjic-222	166	8	it	it	PRON
hjic-222	166	9	can	can	AUX
hjic-222	166	10	preserve	preserve	VERB
hjic-222	166	11	the	the	DET
hjic-222	166	12	direction	direction	NOUN
hjic-222	166	13	information	information	NOUN
hjic-222	166	14	.	.	PUNCT
hjic-222	167	1	in	in	ADP
hjic-222	167	2	addition	addition	NOUN
hjic-222	167	3	,	,	PUNCT
hjic-222	167	4	it	it	PRON
hjic-222	167	5	can	can	AUX
hjic-222	167	6	be	be	AUX
hjic-222	167	7	seen	see	VERB
hjic-222	167	8	as	as	ADP
hjic-222	167	9	the	the	DET
hjic-222	167	10	one	one	NUM
hjic-222	167	11	dimensional	dimensional	ADJ
hjic-222	167	12	version	version	NOUN
hjic-222	167	13	of	of	ADP
hjic-222	167	14	pca	pca	PROPN
hjic-222	167	15	based	base	VERB
hjic-222	167	16	segmentation	segmentation	NOUN
hjic-222	167	17	presented	present	VERB
hjic-222	167	18	in	in	ADP
hjic-222	167	19	[	[	NOUN
hjic-222	167	20	12,13	12,13	NUM
hjic-222	167	21	]	]	PUNCT
hjic-222	167	22	.	.	PUNCT
hjic-222	168	1	the	the	DET
hjic-222	168	2	authors	author	NOUN
hjic-222	168	3	used	use	VERB
hjic-222	168	4	the	the	DET
hjic-222	168	5	q	q	NOUN
hjic-222	168	6	reconstruction	reconstruction	NOUN
hjic-222	168	7	error	error	NOUN
hjic-222	168	8	,	,	PUNCT
hjic-222	168	9	i.e.	i.e.	X
hjic-222	168	10	the	the	DET
hjic-222	168	11	goal	goal	NOUN
hjic-222	168	12	of	of	ADP
hjic-222	168	13	the	the	DET
hjic-222	168	14	segmentation	segmentation	NOUN
hjic-222	168	15	was	be	AUX
hjic-222	168	16	to	to	PART
hjic-222	168	17	minimize	minimize	VERB
hjic-222	168	18	the	the	DET
hjic-222	168	19	sum	sum	NOUN
hjic-222	168	20	of	of	ADP
hjic-222	168	21	the	the	DET
hjic-222	168	22	squared	square	VERB
hjic-222	168	23	euclidean	euclidean	ADJ
hjic-222	168	24	distances	distance	NOUN
hjic-222	168	25	between	between	ADP
hjic-222	168	26	the	the	DET
hjic-222	168	27	original	original	ADJ
hjic-222	168	28	and	and	CCONJ
hjic-222	168	29	the	the	DET
hjic-222	168	30	reconstructed	reconstructed	ADJ
hjic-222	168	31	variables	variable	NOUN
hjic-222	168	32	in	in	ADP
hjic-222	168	33	each	each	DET
hjic-222	168	34	segment	segment	NOUN
hjic-222	168	35	.	.	PUNCT
hjic-222	169	1	pla	pla	PROPN
hjic-222	169	2	does	do	VERB
hjic-222	169	3	the	the	DET
hjic-222	169	4	same	same	ADJ
hjic-222	169	5	,	,	PUNCT
hjic-222	169	6	it	it	PRON
hjic-222	169	7	minimizes	minimize	VERB
hjic-222	169	8	the	the	DET
hjic-222	169	9	squared	squared	ADJ
hjic-222	169	10	euclidean	euclidean	ADJ
hjic-222	169	11	distance	distance	NOUN
hjic-222	169	12	between	between	ADP
hjic-222	169	13	the	the	DET
hjic-222	169	14	original	original	ADJ
hjic-222	169	15	data	datum	NOUN
hjic-222	169	16	point	point	NOUN
hjic-222	169	17	and	and	CCONJ
hjic-222	169	18	their	their	PRON
hjic-222	169	19	reconstructed	reconstructed	ADJ
hjic-222	169	20	pair	pair	NOUN
hjic-222	169	21	(	(	PUNCT
hjic-222	169	22	the	the	DET
hjic-222	169	23	closest	close	ADJ
hjic-222	169	24	point	point	NOUN
hjic-222	169	25	on	on	ADP
hjic-222	169	26	the	the	DET
hjic-222	169	27	pla	pla	NOUN
hjic-222	169	28	segment	segment	NOUN
hjic-222	169	29	)	)	PUNCT
hjic-222	169	30	.	.	PUNCT
hjic-222	170	1	this	this	DET
hjic-222	170	2	reconstruction	reconstruction	NOUN
hjic-222	170	3	error	error	NOUN
hjic-222	170	4	is	be	AUX
hjic-222	170	5	shown	show	VERB
hjic-222	170	6	in	in	ADP
hjic-222	170	7	case	case	NOUN
hjic-222	170	8	of	of	ADP
hjic-222	170	9	pla	pla	PROPN
hjic-222	170	10	segmentation	segmentation	NOUN
hjic-222	170	11	in	in	ADP
hjic-222	170	12	fig	fig	NOUN
hjic-222	170	13	.	.	PUNCT
hjic-222	171	1	4	4	X
hjic-222	171	2	.	.	X
hjic-222	171	3	x1(t	x1(t	NUM
hjic-222	171	4	)	)	PUNCT
hjic-222	171	5	time	time	NOUN
hjic-222	171	6	q	q	NOUN
hjic-222	171	7	figure	figure	NOUN
hjic-222	171	8	4	4	NUM
hjic-222	171	9	:	:	PUNCT
hjic-222	171	10	time	time	NOUN
hjic-222	171	11	series	series	PROPN
hjic-222	172	1	x1	x1	PROPN
hjic-222	172	2	(	(	PUNCT
hjic-222	172	3	black	black	ADJ
hjic-222	172	4	dots	dot	NOUN
hjic-222	172	5	)	)	PUNCT
hjic-222	172	6	and	and	CCONJ
hjic-222	172	7	its	its	PRON
hjic-222	172	8	reconstruction	reconstruction	NOUN
hjic-222	172	9	using	use	VERB
hjic-222	172	10	the	the	DET
hjic-222	172	11	pla	pla	NOUN
hjic-222	172	12	representation	representation	NOUN
hjic-222	172	13	(	(	PUNCT
hjic-222	172	14	gray	gray	ADJ
hjic-222	172	15	dots	dot	NOUN
hjic-222	172	16	)	)	PUNCT
hjic-222	172	17	unfortunately	unfortunately	ADV
hjic-222	172	18	,	,	PUNCT
hjic-222	172	19	the	the	DET
hjic-222	172	20	currently	currently	ADV
hjic-222	172	21	used	use	VERB
hjic-222	172	22	dtw	dtw	PROPN
hjic-222	172	23	based	base	VERB
hjic-222	172	24	measures	measure	NOUN
hjic-222	172	25	do	do	AUX
hjic-222	172	26	not	not	PART
hjic-222	172	27	take	take	VERB
hjic-222	172	28	into	into	ADP
hjic-222	172	29	consideration	consideration	NOUN
hjic-222	172	30	that	that	SCONJ
hjic-222	172	31	the	the	DET
hjic-222	172	32	pla	pla	NOUN
hjic-222	172	33	created	create	VERB
hjic-222	172	34	straight	straight	ADJ
hjic-222	172	35	line	line	NOUN
hjic-222	172	36	is	be	AUX
hjic-222	172	37	the	the	DET
hjic-222	172	38	latent	latent	ADJ
hjic-222	172	39	variable	variable	NOUN
hjic-222	172	40	of	of	ADP
hjic-222	172	41	each	each	DET
hjic-222	172	42	segment	segment	NOUN
hjic-222	172	43	while	while	SCONJ
hjic-222	172	44	the	the	DET
hjic-222	172	45	mean	mean	NOUN
hjic-222	172	46	of	of	ADP
hjic-222	172	47	each	each	DET
hjic-222	172	48	segment	segment	NOUN
hjic-222	172	49	are	be	AUX
hjic-222	172	50	used	use	VERB
hjic-222	172	51	.	.	PUNCT
hjic-222	173	1	in	in	ADP
hjic-222	173	2	[	[	X
hjic-222	173	3	12	12	NUM
hjic-222	173	4	]	]	PUNCT
hjic-222	173	5	,	,	PUNCT
hjic-222	173	6	it	it	PRON
hjic-222	173	7	is	be	AUX
hjic-222	173	8	suggested	suggest	VERB
hjic-222	173	9	to	to	PART
hjic-222	173	10	use	use	VERB
hjic-222	173	11	any	any	PRON
hjic-222	173	12	of	of	ADP
hjic-222	173	13	the	the	DET
hjic-222	173	14	pca	pca	NOUN
hjic-222	173	15	based	base	VERB
hjic-222	173	16	similarity	similarity	NOUN
hjic-222	173	17	measures	measure	NOUN
hjic-222	173	18	to	to	PART
hjic-222	173	19	compare	compare	VERB
hjic-222	173	20	the	the	DET
hjic-222	173	21	hyperplanes	hyperplane	NOUN
hjic-222	173	22	of	of	ADP
hjic-222	173	23	two	two	NUM
hjic-222	173	24	segments	segment	NOUN
hjic-222	173	25	when	when	SCONJ
hjic-222	173	26	the	the	DET
hjic-222	173	27	segmentation	segmentation	NOUN
hjic-222	173	28	was	be	AUX
hjic-222	173	29	driven	drive	VERB
hjic-222	173	30	by	by	ADP
hjic-222	173	31	pca	pca	PROPN
hjic-222	173	32	.	.	PUNCT
hjic-222	174	1	this	this	PRON
hjic-222	174	2	leads	lead	VERB
hjic-222	174	3	to	to	PART
hjic-222	174	4	represent	represent	VERB
hjic-222	174	5	each	each	DET
hjic-222	174	6	pla	pla	NOUN
hjic-222	174	7	segment	segment	NOUN
hjic-222	174	8	with	with	ADP
hjic-222	174	9	its	its	PRON
hjic-222	174	10	angle	angle	NOUN
hjic-222	174	11	of	of	ADP
hjic-222	174	12	slope	slope	NOUN
hjic-222	174	13	:	:	PUNCT
hjic-222	174	14	⎟⎟	⎟⎟	ADJ
hjic-222	174	15	⎠	⎠	NOUN
hjic-222	174	16	⎞	⎞	PROPN
hjic-222	174	17	⎜⎜	⎜⎜	NOUN
hjic-222	174	18	⎝	⎝	PUNCT
hjic-222	174	19	⎛	⎛	NOUN
hjic-222	174	20	−	−	NOUN
hjic-222	174	21	−	−	PROPN
hjic-222	174	22	=	=	SYM
hjic-222	174	23	ii	ii	PROPN
hjic-222	174	24	ii	ii	PROPN
hjic-222	174	25	xlxxrx	xlxxrx	PROPN
hjic-222	174	26	ylxyrxix	ylxyrxix	PROPN
hjic-222	174	27	)	)	PUNCT
hjic-222	174	28	(	(	PUNCT
hjic-222	174	29	)	)	PUNCT
hjic-222	174	30	(	(	PUNCT
hjic-222	174	31	)	)	PUNCT
hjic-222	174	32	(	(	PUNCT
hjic-222	174	33	)	)	PUNCT
hjic-222	174	34	(	(	PUNCT
hjic-222	174	35	atan)(1	atan)(1	NOUN
hjic-222	174	36	please	please	INTJ
hjic-222	174	37	note	note	VERB
hjic-222	174	38	,	,	PUNCT
hjic-222	174	39	none	none	NOUN
hjic-222	174	40	of	of	ADP
hjic-222	174	41	the	the	DET
hjic-222	174	42	segments	segment	NOUN
hjic-222	174	43	can	can	AUX
hjic-222	174	44	be	be	AUX
hjic-222	174	45	perpendicular	perpendicular	ADJ
hjic-222	174	46	to	to	ADP
hjic-222	174	47	the	the	DET
hjic-222	174	48	time	time	NOUN
hjic-222	174	49	axis	axis	ADJ
hjic-222	174	50	,	,	PUNCT
hjic-222	174	51	hence	hence	ADV
hjic-222	174	52	no	no	DET
hjic-222	174	53	further	further	ADJ
hjic-222	174	54	restrictions	restriction	NOUN
hjic-222	174	55	are	be	AUX
hjic-222	174	56	required	require	VERB
hjic-222	174	57	.	.	PUNCT
hjic-222	175	1	now	now	ADV
hjic-222	175	2	,	,	PUNCT
hjic-222	175	3	any	any	PRON
hjic-222	175	4	of	of	ADP
hjic-222	175	5	the	the	DET
hjic-222	175	6	above	above	ADJ
hjic-222	175	7	presented	present	VERB
hjic-222	175	8	pca	pca	PROPN
hjic-222	175	9	based	base	VERB
hjic-222	175	10	similarity	similarity	NOUN
hjic-222	175	11	measures	measure	NOUN
hjic-222	175	12	can	can	AUX
hjic-222	175	13	be	be	AUX
hjic-222	175	14	used	use	VERB
hjic-222	175	15	to	to	PART
hjic-222	175	16	compare	compare	VERB
hjic-222	175	17	the	the	DET
hjic-222	175	18	segments	segment	NOUN
hjic-222	175	19	based	base	VERB
hjic-222	175	20	on	on	ADP
hjic-222	175	21	the	the	DET
hjic-222	175	22	slope	slope	NOUN
hjic-222	175	23	information	information	NOUN
hjic-222	175	24	.	.	PUNCT
hjic-222	176	1	the	the	DET
hjic-222	176	2	interested	interested	ADJ
hjic-222	176	3	reader	reader	NOUN
hjic-222	176	4	might	might	AUX
hjic-222	176	5	notice	notice	VERB
hjic-222	176	6	that	that	SCONJ
hjic-222	176	7	the	the	DET
hjic-222	176	8	only	only	ADJ
hjic-222	176	9	difference	difference	NOUN
hjic-222	176	10	between	between	ADP
hjic-222	176	11	the	the	DET
hjic-222	176	12	reviewed	review	VERB
hjic-222	176	13	pca	pca	NOUN
hjic-222	176	14	based	base	VERB
hjic-222	176	15	similarity	similarity	NOUN
hjic-222	176	16	measures	measure	NOUN
hjic-222	176	17	how	how	SCONJ
hjic-222	176	18	they	they	PRON
hjic-222	176	19	weights	weight	VERB
hjic-222	176	20	the	the	DET
hjic-222	176	21	angles	angle	NOUN
hjic-222	176	22	between	between	ADP
hjic-222	176	23	the	the	DET
hjic-222	176	24	hyperplanes	hyperplane	NOUN
hjic-222	176	25	.	.	PUNCT
hjic-222	177	1	in	in	ADP
hjic-222	177	2	the	the	DET
hjic-222	177	3	one	one	NUM
hjic-222	177	4	dimensional	dimensional	ADJ
hjic-222	177	5	space	space	NOUN
hjic-222	177	6	all	all	PRON
hjic-222	177	7	of	of	ADP
hjic-222	177	8	them	they	PRON
hjic-222	177	9	can	can	AUX
hjic-222	177	10	be	be	AUX
hjic-222	177	11	reduced	reduce	VERB
hjic-222	177	12	to	to	ADP
hjic-222	177	13	the	the	DET
hjic-222	177	14	same	same	ADJ
hjic-222	177	15	equation	equation	NOUN
hjic-222	177	16	:	:	PUNCT
hjic-222	177	17	⎟	⎟	X
hjic-222	177	18	⎟	⎟	X
hjic-222	177	19	⎠	⎠	PUNCT
hjic-222	177	20	⎞	⎞	PROPN
hjic-222	177	21	⎜	⎜	PROPN
hjic-222	177	22	⎜	⎜	PROPN
hjic-222	177	23	⎝	⎝	PUNCT
hjic-222	177	24	⎛	⎛	X
hjic-222	177	25	⎟	⎟	X
hjic-222	177	26	⎟	⎟	X
hjic-222	177	27	⎠	⎠	PUNCT
hjic-222	177	28	⎞	⎞	PROPN
hjic-222	177	29	⎜	⎜	PROPN
hjic-222	177	30	⎜	⎜	PROPN
hjic-222	177	31	⎝	⎝	PUNCT
hjic-222	177	32	⎛	⎛	NOUN
hjic-222	177	33	+	+	CCONJ
hjic-222	177	34	−	−	NOUN
hjic-222	177	35	=	=	SYM
hjic-222	177	36	)	)	PUNCT
hjic-222	177	37	(	(	PUNCT
hjic-222	177	38	)	)	PUNCT
hjic-222	177	39	(	(	PUNCT
hjic-222	177	40	1	1	NUM
hjic-222	177	41	)	)	PUNCT
hjic-222	177	42	(	(	PUNCT
hjic-222	177	43	)	)	PUNCT
hjic-222	177	44	(	(	PUNCT
hjic-222	177	45	atancos	atanco	NOUN
hjic-222	177	46	)	)	PUNCT
hjic-222	177	47	)	)	PUNCT
hjic-222	177	48	(	(	PUNCT
hjic-222	177	49	)	)	PUNCT
hjic-222	177	50	,	,	PUNCT
hjic-222	177	51	(	(	PUNCT
hjic-222	177	52	(	(	PUNCT
hjic-222	177	53	11	11	NUM
hjic-222	177	54	11	11	NUM
hjic-222	177	55	11	11	NUM
hjic-222	177	56	iyix	iyix	NOUN
hjic-222	177	57	iyix	iyix	PROPN
hjic-222	177	58	iyixd	iyixd	PROPN
hjic-222	177	59	where	where	SCONJ
hjic-222	177	60	|cos(	|cos(	PROPN
hjic-222	177	61	…	…	SYM
hjic-222	177	62	)|	)|	X
hjic-222	177	63	–	–	PUNCT
hjic-222	177	64	can	can	AUX
hjic-222	177	65	be	be	AUX
hjic-222	177	66	replaced	replace	VERB
hjic-222	177	67	by	by	ADP
hjic-222	177	68	cos2	cos2	NOUN
hjic-222	177	69	(	(	PUNCT
hjic-222	177	70	…	…	PUNCT
hjic-222	177	71	)	)	PUNCT
hjic-222	177	72	.	.	PUNCT
hjic-222	178	1	64	64	NUM
hjic-222	178	2	this	this	PRON
hjic-222	178	3	would	would	AUX
hjic-222	178	4	be	be	AUX
hjic-222	178	5	a	a	DET
hjic-222	178	6	perfect	perfect	ADJ
hjic-222	178	7	measure	measure	NOUN
hjic-222	178	8	for	for	ADP
hjic-222	178	9	hyperplanes	hyperplane	NOUN
hjic-222	178	10	of	of	ADP
hjic-222	178	11	a	a	DET
hjic-222	178	12	pca	pca	NOUN
hjic-222	178	13	projection	projection	NOUN
hjic-222	178	14	,	,	PUNCT
hjic-222	178	15	where	where	SCONJ
hjic-222	178	16	the	the	DET
hjic-222	178	17	hyperplanes	hyperplane	NOUN
hjic-222	178	18	are	be	AUX
hjic-222	178	19	the	the	DET
hjic-222	178	20	coordinates	coordinate	NOUN
hjic-222	178	21	of	of	ADP
hjic-222	178	22	the	the	DET
hjic-222	178	23	projected	project	VERB
hjic-222	178	24	space	space	NOUN
hjic-222	178	25	,	,	PUNCT
hjic-222	178	26	thus	thus	ADV
hjic-222	178	27	their	their	PRON
hjic-222	178	28	signs	sign	NOUN
hjic-222	178	29	are	be	AUX
hjic-222	178	30	not	not	PART
hjic-222	178	31	only	only	ADV
hjic-222	178	32	meaningless	meaningless	ADJ
hjic-222	178	33	but	but	CCONJ
hjic-222	178	34	considering	consider	VERB
hjic-222	178	35	them	they	PRON
hjic-222	178	36	would	would	AUX
hjic-222	178	37	destroy	destroy	VERB
hjic-222	178	38	the	the	DET
hjic-222	178	39	precision	precision	NOUN
hjic-222	178	40	.	.	PUNCT
hjic-222	179	1	however	however	ADV
hjic-222	179	2	,	,	PUNCT
hjic-222	179	3	the	the	DET
hjic-222	179	4	pla	pla	NOUN
hjic-222	179	5	representation	representation	NOUN
hjic-222	179	6	of	of	ADP
hjic-222	179	7	a	a	DET
hjic-222	179	8	segment	segment	NOUN
hjic-222	179	9	of	of	ADP
hjic-222	179	10	a	a	DET
hjic-222	179	11	univariate	univariate	ADJ
hjic-222	179	12	time	time	NOUN
hjic-222	179	13	series	series	NOUN
hjic-222	179	14	(	(	PUNCT
hjic-222	179	15	i.e.	i.e.	X
hjic-222	179	16	,	,	PUNCT
hjic-222	179	17	its	its	PRON
hjic-222	179	18	latent	latent	NOUN
hjic-222	179	19	variable	variable	NOUN
hjic-222	179	20	)	)	PUNCT
hjic-222	179	21	is	be	AUX
hjic-222	179	22	also	also	ADV
hjic-222	179	23	represents	represent	VERB
hjic-222	179	24	the	the	DET
hjic-222	179	25	original	original	ADJ
hjic-222	179	26	time	time	NOUN
hjic-222	179	27	series	series	NOUN
hjic-222	179	28	in	in	ADP
hjic-222	179	29	the	the	DET
hjic-222	179	30	same	same	ADJ
hjic-222	179	31	space	space	NOUN
hjic-222	179	32	,	,	PUNCT
hjic-222	179	33	thus	thus	ADV
hjic-222	179	34	the	the	DET
hjic-222	179	35	sign	sign	NOUN
hjic-222	179	36	information	information	NOUN
hjic-222	179	37	can	can	AUX
hjic-222	179	38	not	not	PART
hjic-222	179	39	be	be	AUX
hjic-222	179	40	neglected	neglect	VERB
hjic-222	179	41	.	.	PUNCT
hjic-222	180	1	for	for	ADP
hjic-222	180	2	example	example	NOUN
hjic-222	180	3	,	,	PUNCT
hjic-222	180	4	if	if	SCONJ
hjic-222	180	5	one	one	PRON
hjic-222	180	6	compares	compare	VERB
hjic-222	180	7	x1(i	x1(i	NOUN
hjic-222	180	8	)	)	PUNCT
hjic-222	180	9	=	=	SYM
hjic-222	180	10	57	57	NUM
hjic-222	180	11	(	(	PUNCT
hjic-222	180	12	~89	~89	NOUN
hjic-222	180	13	°	°	NUM
hjic-222	180	14	)	)	PUNCT
hjic-222	180	15	and	and	CCONJ
hjic-222	180	16	y1(i	y1(i	NUM
hjic-222	180	17	)	)	PUNCT
hjic-222	180	18	=	=	PUNCT
hjic-222	180	19	–	–	PUNCT
hjic-222	180	20	57	57	NUM
hjic-222	180	21	(	(	PUNCT
hjic-222	180	22	~91	~91	NOUN
hjic-222	180	23	°	°	NOUN
hjic-222	180	24	)	)	PUNCT
hjic-222	180	25	as	as	ADP
hjic-222	180	26	hyperplanes	hyperplane	NOUN
hjic-222	180	27	they	they	PRON
hjic-222	180	28	are	be	AUX
hjic-222	180	29	almost	almost	ADV
hjic-222	180	30	the	the	DET
hjic-222	180	31	same	same	ADJ
hjic-222	180	32	(	(	PUNCT
hjic-222	180	33	only	only	ADV
hjic-222	180	34	2	2	NUM
hjic-222	180	35	°	°	NOUN
hjic-222	180	36	is	be	AUX
hjic-222	180	37	the	the	DET
hjic-222	180	38	difference	difference	NOUN
hjic-222	180	39	)	)	PUNCT
hjic-222	180	40	;	;	PUNCT
hjic-222	180	41	however	however	ADV
hjic-222	180	42	,	,	PUNCT
hjic-222	180	43	they	they	PRON
hjic-222	180	44	are	be	AUX
hjic-222	180	45	completely	completely	ADV
hjic-222	180	46	different	different	ADJ
hjic-222	180	47	from	from	ADP
hjic-222	180	48	the	the	DET
hjic-222	180	49	time	time	NOUN
hjic-222	180	50	series	series	PROPN
hjic-222	180	51	point	point	NOUN
hjic-222	180	52	of	of	ADP
hjic-222	180	53	view	view	NOUN
hjic-222	180	54	(	(	PUNCT
hjic-222	180	55	increasing	increase	VERB
hjic-222	180	56	and	and	CCONJ
hjic-222	180	57	decreasing	decrease	VERB
hjic-222	180	58	trends	trend	NOUN
hjic-222	180	59	)	)	PUNCT
hjic-222	180	60	.	.	PUNCT
hjic-222	181	1	so	so	ADV
hjic-222	181	2	,	,	PUNCT
hjic-222	181	3	the	the	DET
hjic-222	181	4	basis	basis	NOUN
hjic-222	181	5	distance	distance	NOUN
hjic-222	181	6	of	of	ADP
hjic-222	181	7	dtw	dtw	PROPN
hjic-222	181	8	should	should	AUX
hjic-222	181	9	be	be	AUX
hjic-222	181	10	a	a	DET
hjic-222	181	11	function	function	NOUN
hjic-222	181	12	which	which	PRON
hjic-222	181	13	can	can	AUX
hjic-222	181	14	measure	measure	VERB
hjic-222	181	15	the	the	DET
hjic-222	181	16	difference	difference	NOUN
hjic-222	181	17	between	between	ADP
hjic-222	181	18	the	the	DET
hjic-222	181	19	signed	sign	VERB
hjic-222	181	20	slopes	slope	NOUN
hjic-222	181	21	.	.	PUNCT
hjic-222	182	1	for	for	ADP
hjic-222	182	2	this	this	DET
hjic-222	182	3	paper	paper	NOUN
hjic-222	182	4	,	,	PUNCT
hjic-222	182	5	the	the	DET
hjic-222	182	6	simple	simple	ADJ
hjic-222	182	7	squared	square	VERB
hjic-222	182	8	euclidean	euclidean	ADJ
hjic-222	182	9	distance	distance	NOUN
hjic-222	182	10	was	be	AUX
hjic-222	182	11	chosen	choose	VERB
hjic-222	182	12	:	:	PUNCT
hjic-222	182	13	2	2	NUM
hjic-222	182	14	1111	1111	NUM
hjic-222	182	15	)	)	PUNCT
hjic-222	182	16	)	)	PUNCT
hjic-222	183	1	(	(	PUNCT
hjic-222	183	2	)	)	PUNCT
hjic-222	183	3	(	(	PUNCT
hjic-222	183	4	(	(	PUNCT
hjic-222	183	5	)	)	PUNCT
hjic-222	183	6	)	)	PUNCT
hjic-222	183	7	(	(	PUNCT
hjic-222	183	8	)	)	PUNCT
hjic-222	183	9	,	,	PUNCT
hjic-222	183	10	(	(	PUNCT
hjic-222	183	11	(	(	PUNCT
hjic-222	183	12	jyixjyixd	jyixjyixd	PROPN
hjic-222	183	13	−=	−=	VERB
hjic-222	183	14	the	the	DET
hjic-222	183	15	last	last	ADJ
hjic-222	183	16	thing	thing	NOUN
hjic-222	183	17	to	to	PART
hjic-222	183	18	handle	handle	VERB
hjic-222	183	19	is	be	AUX
hjic-222	183	20	the	the	DET
hjic-222	183	21	k	k	PROPN
hjic-222	183	22	constant	constant	ADJ
hjic-222	183	23	.	.	PUNCT
hjic-222	184	1	if	if	SCONJ
hjic-222	184	2	it	it	PRON
hjic-222	184	3	can	can	AUX
hjic-222	184	4	be	be	AUX
hjic-222	184	5	treated	treat	VERB
hjic-222	184	6	that	that	SCONJ
hjic-222	184	7	preprocessing	preprocessing	NOUN
hjic-222	184	8	steps	step	NOUN
hjic-222	184	9	are	be	AUX
hjic-222	184	10	properly	properly	ADV
hjic-222	184	11	executed	execute	VERB
hjic-222	184	12	(	(	PUNCT
hjic-222	184	13	i.e.	i.e.	X
hjic-222	184	14	data	datum	NOUN
hjic-222	184	15	is	be	AUX
hjic-222	184	16	filtered	filter	VERB
hjic-222	184	17	and	and	CCONJ
hjic-222	184	18	it	it	PRON
hjic-222	184	19	is	be	AUX
hjic-222	184	20	proved	prove	VERB
hjic-222	184	21	that	that	SCONJ
hjic-222	184	22	no	no	DET
hjic-222	184	23	additional	additional	ADJ
hjic-222	184	24	noise	noise	NOUN
hjic-222	184	25	is	be	AUX
hjic-222	184	26	added	add	VERB
hjic-222	184	27	to	to	ADP
hjic-222	184	28	it	it	PRON
hjic-222	184	29	)	)	PUNCT
hjic-222	184	30	,	,	PUNCT
hjic-222	184	31	the	the	DET
hjic-222	184	32	role	role	NOUN
hjic-222	184	33	of	of	ADP
hjic-222	184	34	the	the	DET
hjic-222	184	35	k	k	PROPN
hjic-222	184	36	constant	constant	ADJ
hjic-222	184	37	is	be	AUX
hjic-222	184	38	changed	change	VERB
hjic-222	184	39	.	.	PUNCT
hjic-222	185	1	the	the	DET
hjic-222	185	2	proper	proper	ADJ
hjic-222	185	3	preprocessing	preprocessing	NOUN
hjic-222	185	4	ensures	ensure	NOUN
hjic-222	185	5	that	that	SCONJ
hjic-222	185	6	all	all	PRON
hjic-222	185	7	of	of	ADP
hjic-222	185	8	the	the	DET
hjic-222	185	9	segments	segment	NOUN
hjic-222	185	10	are	be	AUX
hjic-222	185	11	detected	detect	VERB
hjic-222	185	12	due	due	ADP
hjic-222	185	13	to	to	ADP
hjic-222	185	14	the	the	DET
hjic-222	185	15	underlying	underlie	VERB
hjic-222	185	16	process	process	NOUN
hjic-222	185	17	and	and	CCONJ
hjic-222	185	18	they	they	PRON
hjic-222	185	19	are	be	AUX
hjic-222	185	20	not	not	PART
hjic-222	185	21	detected	detect	VERB
hjic-222	185	22	due	due	ADP
hjic-222	185	23	to	to	ADP
hjic-222	185	24	the	the	DET
hjic-222	185	25	noise	noise	NOUN
hjic-222	185	26	;	;	PUNCT
hjic-222	185	27	moreover	moreover	ADV
hjic-222	185	28	,	,	PUNCT
hjic-222	185	29	the	the	DET
hjic-222	185	30	minimum	minimum	ADJ
hjic-222	185	31	number	number	NOUN
hjic-222	185	32	of	of	ADP
hjic-222	185	33	elements	element	NOUN
hjic-222	185	34	of	of	ADP
hjic-222	185	35	a	a	DET
hjic-222	185	36	segment	segment	NOUN
hjic-222	185	37	can	can	AUX
hjic-222	185	38	also	also	ADV
hjic-222	185	39	be	be	AUX
hjic-222	185	40	defined	define	VERB
hjic-222	185	41	.	.	PUNCT
hjic-222	186	1	thus	thus	ADV
hjic-222	186	2	,	,	PUNCT
hjic-222	186	3	an	an	DET
hjic-222	186	4	additional	additional	ADJ
hjic-222	186	5	warping	warping	NOUN
hjic-222	186	6	is	be	AUX
hjic-222	186	7	achieved	achieve	VERB
hjic-222	186	8	if	if	SCONJ
hjic-222	186	9	the	the	DET
hjic-222	186	10	weights	weight	NOUN
hjic-222	186	11	of	of	ADP
hjic-222	186	12	the	the	DET
hjic-222	186	13	segments	segment	NOUN
hjic-222	186	14	are	be	AUX
hjic-222	186	15	not	not	PART
hjic-222	186	16	considered	consider	VERB
hjic-222	186	17	and	and	CCONJ
hjic-222	186	18	the	the	DET
hjic-222	186	19	length	length	NOUN
hjic-222	186	20	of	of	ADP
hjic-222	186	21	the	the	DET
hjic-222	186	22	warping	warp	VERB
hjic-222	186	23	path	path	NOUN
hjic-222	186	24	can	can	AUX
hjic-222	186	25	be	be	AUX
hjic-222	186	26	used	use	VERB
hjic-222	186	27	as	as	ADP
hjic-222	186	28	the	the	DET
hjic-222	186	29	value	value	NOUN
hjic-222	186	30	of	of	ADP
hjic-222	186	31	k	k	PROPN
hjic-222	186	32	or	or	CCONJ
hjic-222	186	33	it	it	PRON
hjic-222	186	34	can	can	AUX
hjic-222	186	35	be	be	AUX
hjic-222	186	36	omitted	omit	VERB
hjic-222	186	37	as	as	SCONJ
hjic-222	186	38	it	it	PRON
hjic-222	186	39	is	be	AUX
hjic-222	186	40	done	do	VERB
hjic-222	186	41	in	in	ADP
hjic-222	186	42	this	this	DET
hjic-222	186	43	paper	paper	NOUN
hjic-222	186	44	.	.	PUNCT
hjic-222	187	1	validation	validation	NOUN
hjic-222	187	2	according	accord	VERB
hjic-222	187	3	to	to	ADP
hjic-222	187	4	[	[	X
hjic-222	187	5	16	16	NUM
hjic-222	187	6	]	]	PUNCT
hjic-222	187	7	,	,	PUNCT
hjic-222	187	8	the	the	DET
hjic-222	187	9	presented	present	VERB
hjic-222	187	10	similarity	similarity	NOUN
hjic-222	187	11	measure	measure	NOUN
hjic-222	187	12	was	be	AUX
hjic-222	187	13	compared	compare	VERB
hjic-222	187	14	to	to	ADP
hjic-222	187	15	other	other	ADJ
hjic-222	187	16	methods	method	NOUN
hjic-222	187	17	using	use	VERB
hjic-222	187	18	the	the	DET
hjic-222	187	19	free	free	ADJ
hjic-222	187	20	and	and	CCONJ
hjic-222	187	21	widely	widely	ADV
hjic-222	187	22	used	use	VERB
hjic-222	187	23	datasets	dataset	NOUN
hjic-222	187	24	and	and	CCONJ
hjic-222	187	25	classification	classification	NOUN
hjic-222	187	26	algorithm	algorithm	NOUN
hjic-222	187	27	of	of	ADP
hjic-222	187	28	the	the	DET
hjic-222	187	29	ucr	ucr	PROPN
hjic-222	187	30	time	time	NOUN
hjic-222	187	31	series	series	PROPN
hjic-222	187	32	classification	classification	NOUN
hjic-222	187	33	/	/	SYM
hjic-222	187	34	clustering	cluster	VERB
hjic-222	187	35	homepage	homepage	NOUN
hjic-222	187	36	[	[	X
hjic-222	187	37	17	17	NUM
hjic-222	187	38	]	]	PUNCT
hjic-222	187	39	.	.	PUNCT
hjic-222	188	1	the	the	DET
hjic-222	188	2	datasets	dataset	NOUN
hjic-222	188	3	were	be	AUX
hjic-222	188	4	kindly	kindly	ADV
hjic-222	188	5	provided	provide	VERB
hjic-222	188	6	by	by	ADP
hjic-222	188	7	mr	mr	PROPN
hjic-222	188	8	.	.	PROPN
hjic-222	188	9	keogh	keogh	PROPN
hjic-222	188	10	on	on	ADP
hjic-222	188	11	march	march	PROPN
hjic-222	188	12	7	7	NUM
hjic-222	188	13	,	,	PUNCT
hjic-222	188	14	2007	2007	NUM
hjic-222	188	15	.	.	PUNCT
hjic-222	189	1	please	please	INTJ
hjic-222	189	2	note	note	VERB
hjic-222	189	3	,	,	PUNCT
hjic-222	189	4	for	for	ADP
hjic-222	189	5	easier	easy	ADJ
hjic-222	189	6	reconstruction	reconstruction	NOUN
hjic-222	189	7	of	of	ADP
hjic-222	189	8	the	the	DET
hjic-222	189	9	results	result	NOUN
hjic-222	189	10	,	,	PUNCT
hjic-222	189	11	the	the	DET
hjic-222	189	12	algorihms	algorihm	NOUN
hjic-222	189	13	were	be	AUX
hjic-222	189	14	not	not	PART
hjic-222	189	15	executed	execute	VERB
hjic-222	189	16	on	on	ADP
hjic-222	189	17	the	the	DET
hjic-222	189	18	four	four	NUM
hjic-222	189	19	biggest	big	ADJ
hjic-222	189	20	dataset	dataset	NOUN
hjic-222	189	21	:	:	PUNCT
hjic-222	189	22	face	face	NOUN
hjic-222	189	23	(	(	PUNCT
hjic-222	189	24	all	all	ADV
hjic-222	189	25	)	)	PUNCT
hjic-222	189	26	,	,	PUNCT
hjic-222	189	27	two	two	NUM
hjic-222	189	28	patterns	pattern	NOUN
hjic-222	189	29	,	,	PUNCT
hjic-222	189	30	wafer	wafer	NOUN
hjic-222	189	31	,	,	PUNCT
hjic-222	189	32	yoga	yoga	NOUN
hjic-222	189	33	.	.	PUNCT
hjic-222	190	1	in	in	ADP
hjic-222	190	2	this	this	DET
hjic-222	190	3	test	test	NOUN
hjic-222	190	4	,	,	PUNCT
hjic-222	190	5	the	the	DET
hjic-222	190	6	suggested	suggest	VERB
hjic-222	190	7	1	1	NUM
hjic-222	190	8	-	-	PUNCT
hjic-222	190	9	nn	nn	ADJ
hjic-222	190	10	classification	classification	NOUN
hjic-222	190	11	algorithm	algorithm	NOUN
hjic-222	190	12	was	be	AUX
hjic-222	190	13	executed	execute	VERB
hjic-222	190	14	on	on	ADP
hjic-222	190	15	the	the	DET
hjic-222	190	16	databases	database	NOUN
hjic-222	190	17	and	and	CCONJ
hjic-222	190	18	the	the	DET
hjic-222	190	19	error	error	NOUN
hjic-222	190	20	rate	rate	NOUN
hjic-222	190	21	(	(	PUNCT
hjic-222	190	22	proportion	proportion	NOUN
hjic-222	190	23	of	of	ADP
hjic-222	190	24	the	the	DET
hjic-222	190	25	faulty	faulty	ADJ
hjic-222	190	26	classified	classify	VERB
hjic-222	190	27	time	time	NOUN
hjic-222	190	28	series	series	PROPN
hjic-222	190	29	)	)	PUNCT
hjic-222	190	30	of	of	ADP
hjic-222	190	31	each	each	DET
hjic-222	190	32	database	database	NOUN
hjic-222	190	33	for	for	ADP
hjic-222	190	34	every	every	DET
hjic-222	190	35	measure	measure	NOUN
hjic-222	190	36	was	be	AUX
hjic-222	190	37	recorded	record	VERB
hjic-222	190	38	in	in	ADP
hjic-222	190	39	table	table	NOUN
hjic-222	190	40	1	1	NUM
hjic-222	190	41	and	and	CCONJ
hjic-222	190	42	table	table	NOUN
hjic-222	190	43	2	2	NUM
hjic-222	190	44	.	.	PUNCT
hjic-222	191	1	as	as	ADP
hjic-222	191	2	a	a	DET
hjic-222	191	3	reference	reference	NOUN
hjic-222	191	4	,	,	PUNCT
hjic-222	191	5	the	the	DET
hjic-222	191	6	non	non	ADJ
hjic-222	191	7	-	-	ADJ
hjic-222	191	8	segmented	segment	VERB
hjic-222	191	9	time	time	NOUN
hjic-222	191	10	series	series	NOUN
hjic-222	191	11	was	be	AUX
hjic-222	191	12	also	also	ADV
hjic-222	191	13	compared	compare	VERB
hjic-222	191	14	with	with	ADP
hjic-222	191	15	euclidean	euclidean	ADJ
hjic-222	191	16	distance	distance	NOUN
hjic-222	191	17	and	and	CCONJ
hjic-222	191	18	dtw	dtw	NOUN
hjic-222	191	19	,	,	PUNCT
hjic-222	191	20	their	their	PRON
hjic-222	191	21	results	result	NOUN
hjic-222	191	22	can	can	AUX
hjic-222	191	23	be	be	AUX
hjic-222	191	24	found	find	VERB
hjic-222	191	25	in	in	ADP
hjic-222	191	26	the	the	DET
hjic-222	191	27	third	third	ADJ
hjic-222	191	28	and	and	CCONJ
hjic-222	191	29	fourth	fourth	ADJ
hjic-222	191	30	columns	column	NOUN
hjic-222	191	31	.	.	PUNCT
hjic-222	192	1	the	the	DET
hjic-222	192	2	first	first	ADJ
hjic-222	192	3	four	four	NUM
hjic-222	192	4	colored	colored	ADJ
hjic-222	192	5	columns	column	NOUN
hjic-222	192	6	contain	contain	VERB
hjic-222	192	7	the	the	DET
hjic-222	192	8	results	result	NOUN
hjic-222	192	9	of	of	ADP
hjic-222	192	10	the	the	DET
hjic-222	192	11	currently	currently	ADV
hjic-222	192	12	used	use	VERB
hjic-222	192	13	similarity	similarity	NOUN
hjic-222	192	14	measures	measure	NOUN
hjic-222	192	15	.	.	PUNCT
hjic-222	193	1	the	the	DET
hjic-222	193	2	time	time	NOUN
hjic-222	193	3	series	series	PROPN
hjic-222	193	4	were	be	AUX
hjic-222	193	5	segmented	segment	VERB
hjic-222	193	6	with	with	ADP
hjic-222	193	7	paa	paa	NOUN
hjic-222	193	8	and	and	CCONJ
hjic-222	193	9	pla	pla	NOUN
hjic-222	193	10	to	to	ADP
hjic-222	193	11	30	30	NUM
hjic-222	193	12	pieces	piece	NOUN
hjic-222	193	13	using	use	VERB
hjic-222	193	14	bottom	bottom	ADJ
hjic-222	193	15	-	-	PUNCT
hjic-222	193	16	up	up	ADP
hjic-222	193	17	technique	technique	NOUN
hjic-222	193	18	and	and	CCONJ
hjic-222	193	19	euclidean	euclidean	ADJ
hjic-222	193	20	or	or	CCONJ
hjic-222	193	21	the	the	DET
hjic-222	193	22	reviewed	review	VERB
hjic-222	193	23	dtw	dtw	PROPN
hjic-222	193	24	distance	distance	NOUN
hjic-222	193	25	was	be	AUX
hjic-222	193	26	applied	apply	VERB
hjic-222	193	27	.	.	PUNCT
hjic-222	194	1	please	please	INTJ
hjic-222	194	2	note	note	VERB
hjic-222	194	3	,	,	PUNCT
hjic-222	194	4	this	this	PRON
hjic-222	194	5	means	mean	VERB
hjic-222	194	6	that	that	SCONJ
hjic-222	194	7	the	the	DET
hjic-222	194	8	mean	mean	NOUN
hjic-222	194	9	of	of	ADP
hjic-222	194	10	the	the	DET
hjic-222	194	11	segments	segment	NOUN
hjic-222	194	12	were	be	AUX
hjic-222	194	13	used	use	VERB
hjic-222	194	14	to	to	PART
hjic-222	194	15	compare	compare	VERB
hjic-222	194	16	two	two	NUM
hjic-222	194	17	segments	segment	NOUN
hjic-222	194	18	irrespectively	irrespectively	ADV
hjic-222	194	19	of	of	ADP
hjic-222	194	20	the	the	DET
hjic-222	194	21	applied	apply	VERB
hjic-222	194	22	segmentation	segmentation	NOUN
hjic-222	194	23	method	method	NOUN
hjic-222	194	24	.	.	PUNCT
hjic-222	195	1	a	a	DET
hjic-222	195	2	ng	ng	PROPN
hjic-222	195	3	le	le	X
hjic-222	195	4	3	3	NUM
hjic-222	195	5	0	0	NUM
hjic-222	195	6	se	se	PROPN
hjic-222	195	7	gm	gm	PROPN
hjic-222	195	8	en	en	X
hjic-222	195	9	ts	ts	X
hjic-222	195	10	d	d	PROPN
hjic-222	195	11	tw	tw	PROPN
hjic-222	195	12	0	0	NUM
hjic-222	195	13	.	.	PUNCT
hjic-222	195	14	37	37	NUM
hjic-222	195	15	0	0	NUM
hjic-222	195	16	.	.	PUNCT
hjic-222	196	1	64	64	NUM
hjic-222	196	2	0	0	NUM
hjic-222	196	3	.	.	PUNCT
hjic-222	197	1	63	63	NUM
hjic-222	197	2	0	0	NUM
hjic-222	197	3	.	.	PUNCT
hjic-222	198	1	59	59	NUM
hjic-222	198	2	0	0	NUM
hjic-222	198	3	.	.	PUNCT
hjic-222	198	4	11	11	NUM
hjic-222	198	5	0	0	NUM
hjic-222	198	6	.	.	PUNCT
hjic-222	199	1	19	19	NUM
hjic-222	199	2	0	0	NUM
hjic-222	199	3	.	.	PUNCT
hjic-222	200	1	39	39	NUM
hjic-222	200	2	0	0	NUM
hjic-222	200	3	.	.	NOUN
hjic-222	200	4	15	15	NUM
hjic-222	200	5	a	a	DET
hjic-222	200	6	ng	ng	PROPN
hjic-222	200	7	le	le	ADP
hjic-222	200	8	3	3	NUM
hjic-222	200	9	0	0	NUM
hjic-222	200	10	se	se	PROPN
hjic-222	200	11	gm	gm	PROPN
hjic-222	200	12	en	en	X
hjic-222	200	13	ts	ts	ADP
hjic-222	200	14	eu	eu	PROPN
hjic-222	200	15	cl	cl	PROPN
hjic-222	200	16	i	i	PROPN
hjic-222	200	17	d	d	PROPN
hjic-222	200	18	ea	ea	PROPN
hjic-222	200	19	n	n	PROPN
hjic-222	200	20	0	0	NUM
hjic-222	200	21	.	.	PUNCT
hjic-222	201	1	46	46	NUM
hjic-222	201	2	0	0	NUM
hjic-222	201	3	.	.	PUNCT
hjic-222	202	1	71	71	NUM
hjic-222	202	2	0	0	NUM
hjic-222	202	3	.	.	PUNCT
hjic-222	203	1	67	67	NUM
hjic-222	203	2	0	0	NUM
hjic-222	203	3	.	.	PUNCT
hjic-222	204	1	64	64	NUM
hjic-222	204	2	0	0	NUM
hjic-222	204	3	.	.	PUNCT
hjic-222	205	1	32	32	NUM
hjic-222	205	2	0	0	NUM
hjic-222	205	3	.	.	PUNCT
hjic-222	206	1	23	23	NUM
hjic-222	206	2	0	0	NUM
hjic-222	206	3	.	.	PUNCT
hjic-222	207	1	72	72	NUM
hjic-222	207	2	0	0	NUM
hjic-222	207	3	.	.	PUNCT
hjic-222	208	1	46	46	NUM
hjic-222	208	2	pl	pl	NOUN
hjic-222	208	3	a	a	DET
hjic-222	208	4	3	3	NUM
hjic-222	208	5	0	0	NUM
hjic-222	208	6	se	se	X
hjic-222	208	7	gm	gm	PROPN
hjic-222	208	8	en	en	X
hjic-222	208	9	ts	ts	X
hjic-222	208	10	d	d	PROPN
hjic-222	208	11	tw	tw	PROPN
hjic-222	208	12	0	0	NUM
hjic-222	208	13	.	.	PUNCT
hjic-222	209	1	40	40	NUM
hjic-222	209	2	0	0	NUM
hjic-222	209	3	.	.	PUNCT
hjic-222	210	1	66	66	NUM
hjic-222	210	2	0	0	NUM
hjic-222	210	3	.	.	PUNCT
hjic-222	211	1	50	50	NUM
hjic-222	211	2	0	0	NUM
hjic-222	211	3	.	.	NOUN
hjic-222	211	4	04	04	NUM
hjic-222	211	5	0	0	NUM
hjic-222	211	6	.	.	NOUN
hjic-222	211	7	29	29	NUM
hjic-222	211	8	0	0	NUM
hjic-222	211	9	.	.	PROPN
hjic-222	212	1	20	20	NUM
hjic-222	212	2	0	0	NUM
hjic-222	212	3	.	.	PUNCT
hjic-222	213	1	30	30	NUM
hjic-222	213	2	0	0	NUM
hjic-222	213	3	.	.	PUNCT
hjic-222	214	1	38	38	NUM
hjic-222	214	2	pl	pl	NOUN
hjic-222	214	3	a	a	DET
hjic-222	214	4	3	3	NUM
hjic-222	214	5	0	0	NUM
hjic-222	214	6	se	se	X
hjic-222	214	7	gm	gm	PROPN
hjic-222	214	8	en	en	X
hjic-222	214	9	ts	ts	ADP
hjic-222	214	10	eu	eu	PROPN
hjic-222	214	11	cl	cl	PROPN
hjic-222	214	12	i	i	PROPN
hjic-222	214	13	d	d	PROPN
hjic-222	214	14	ea	ea	PROPN
hjic-222	214	15	n	n	PROPN
hjic-222	214	16	0	0	NUM
hjic-222	214	17	.	.	PROPN
hjic-222	214	18	35	35	NUM
hjic-222	214	19	0	0	NUM
hjic-222	214	20	.	.	PUNCT
hjic-222	215	1	76	76	NUM
hjic-222	215	2	0	0	NUM
hjic-222	215	3	.	.	PUNCT
hjic-222	216	1	53	53	NUM
hjic-222	216	2	0	0	NUM
hjic-222	216	3	.	.	PROPN
hjic-222	216	4	13	13	NUM
hjic-222	216	5	0	0	NUM
hjic-222	216	6	.	.	PUNCT
hjic-222	217	1	18	18	NUM
hjic-222	217	2	0	0	NUM
hjic-222	217	3	.	.	PROPN
hjic-222	218	1	20	20	NUM
hjic-222	218	2	0	0	NUM
hjic-222	218	3	.	.	PUNCT
hjic-222	219	1	39	39	NUM
hjic-222	219	2	0	0	NUM
hjic-222	219	3	.	.	PUNCT
hjic-222	220	1	51	51	NUM
hjic-222	220	2	pa	pa	NOUN
hjic-222	220	3	a	a	DET
hjic-222	220	4	3	3	NUM
hjic-222	220	5	0	0	NUM
hjic-222	220	6	se	se	X
hjic-222	220	7	gm	gm	PROPN
hjic-222	220	8	en	en	X
hjic-222	220	9	ts	ts	X
hjic-222	220	10	d	d	PROPN
hjic-222	220	11	tw	tw	PROPN
hjic-222	220	12	0	0	NUM
hjic-222	220	13	.	.	PROPN
hjic-222	221	1	36	36	NUM
hjic-222	221	2	0	0	NUM
hjic-222	221	3	.	.	PUNCT
hjic-222	222	1	43	43	NUM
hjic-222	222	2	0	0	NUM
hjic-222	222	3	.	.	PUNCT
hjic-222	223	1	53	53	NUM
hjic-222	223	2	0	0	NUM
hjic-222	223	3	.	.	PUNCT
hjic-222	224	1	02	02	NUM
hjic-222	224	2	0	0	NUM
hjic-222	224	3	.	.	PUNCT
hjic-222	225	1	25	25	NUM
hjic-222	225	2	0	0	NUM
hjic-222	225	3	.	.	PUNCT
hjic-222	225	4	21	21	NUM
hjic-222	225	5	0	0	NUM
hjic-222	225	6	.	.	PUNCT
hjic-222	226	1	23	23	NUM
hjic-222	226	2	0	0	NUM
hjic-222	226	3	.	.	X
hjic-222	227	1	22	22	NUM
hjic-222	227	2	pa	pa	NOUN
hjic-222	227	3	a	a	DET
hjic-222	227	4	3	3	NUM
hjic-222	227	5	0	0	NUM
hjic-222	227	6	se	se	X
hjic-222	227	7	gm	gm	PROPN
hjic-222	227	8	en	en	X
hjic-222	227	9	ts	ts	ADP
hjic-222	227	10	eu	eu	PROPN
hjic-222	227	11	cl	cl	PROPN
hjic-222	227	12	i	i	PROPN
hjic-222	227	13	d	d	PROPN
hjic-222	227	14	ea	ea	PROPN
hjic-222	227	15	n	n	PROPN
hjic-222	227	16	0	0	NUM
hjic-222	227	17	.	.	PROPN
hjic-222	228	1	36	36	NUM
hjic-222	228	2	0	0	NUM
hjic-222	228	3	.	.	PUNCT
hjic-222	229	1	41	41	NUM
hjic-222	229	2	0	0	NUM
hjic-222	229	3	.	.	PUNCT
hjic-222	230	1	50	50	NUM
hjic-222	230	2	0	0	NUM
hjic-222	230	3	.	.	PUNCT
hjic-222	231	1	07	07	NUM
hjic-222	231	2	0	0	NUM
hjic-222	231	3	.	.	PUNCT
hjic-222	232	1	25	25	NUM
hjic-222	232	2	0	0	NUM
hjic-222	232	3	.	.	PROPN
hjic-222	233	1	13	13	NUM
hjic-222	233	2	0	0	NUM
hjic-222	233	3	.	.	PUNCT
hjic-222	234	1	17	17	NUM
hjic-222	234	2	0	0	NUM
hjic-222	234	3	.	.	PROPN
hjic-222	235	1	21	21	NUM
hjic-222	235	2	n	n	NUM
hjic-222	235	3	o	o	PROPN
hjic-222	235	4	w	w	PROPN
hjic-222	235	5	ar	ar	PROPN
hjic-222	235	6	pi	pi	PROPN
hjic-222	235	7	ng	ng	PROPN
hjic-222	235	8	w	w	PROPN
hjic-222	235	9	in	in	ADP
hjic-222	235	10	do	do	PROPN
hjic-222	235	11	w	w	NOUN
hjic-222	235	12	d	d	NOUN
hjic-222	235	13	tw	tw	NOUN
hjic-222	235	14	0	0	NUM
hjic-222	235	15	.	.	PUNCT
hjic-222	235	16	31	31	NUM
hjic-222	235	17	0	0	NUM
hjic-222	235	18	.	.	PUNCT
hjic-222	236	1	40	40	NUM
hjic-222	236	2	0	0	NUM
hjic-222	236	3	.	.	PUNCT
hjic-222	237	1	50	50	NUM
hjic-222	237	2	0	0	NUM
hjic-222	237	3	.	.	PUNCT
hjic-222	237	4	00	00	NUM
hjic-222	237	5	0	0	NUM
hjic-222	237	6	.	.	PROPN
hjic-222	238	1	18	18	NUM
hjic-222	238	2	0	0	NUM
hjic-222	238	3	.	.	PUNCT
hjic-222	239	1	23	23	NUM
hjic-222	239	2	0	0	NUM
hjic-222	239	3	.	.	PUNCT
hjic-222	240	1	17	17	NUM
hjic-222	240	2	0	0	NUM
hjic-222	240	3	.	.	PUNCT
hjic-222	241	1	17	17	NUM
hjic-222	241	2	eu	eu	PROPN
hjic-222	241	3	cl	cl	NOUN
hjic-222	241	4	i	i	PROPN
hjic-222	241	5	d	d	PROPN
hjic-222	241	6	ea	ea	PROPN
hjic-222	242	1	n	n	PROPN
hjic-222	242	2	d	d	NOUN
hjic-222	242	3	is	be	AUX
hjic-222	242	4	ta	ta	PROPN
hjic-222	242	5	nc	nc	PROPN
hjic-222	242	6	e	e	PROPN
hjic-222	242	7	0	0	PROPN
hjic-222	242	8	.	.	PROPN
hjic-222	243	1	37	37	NUM
hjic-222	243	2	0	0	NUM
hjic-222	243	3	.	.	PUNCT
hjic-222	244	1	39	39	NUM
hjic-222	244	2	0	0	NUM
hjic-222	244	3	.	.	PUNCT
hjic-222	245	1	47	47	NUM
hjic-222	245	2	0	0	NUM
hjic-222	245	3	.	.	PROPN
hjic-222	245	4	15	15	NUM
hjic-222	245	5	0	0	NUM
hjic-222	245	6	.	.	PUNCT
hjic-222	246	1	25	25	NUM
hjic-222	246	2	0	0	NUM
hjic-222	246	3	.	.	PUNCT
hjic-222	247	1	12	12	NUM
hjic-222	247	2	0	0	NUM
hjic-222	247	3	.	.	PUNCT
hjic-222	248	1	22	22	NUM
hjic-222	248	2	0	0	NUM
hjic-222	248	3	.	.	PUNCT
hjic-222	249	1	22	22	NUM
hjic-222	249	2	ti	ti	NOUN
hjic-222	249	3	m	m	VERB
hjic-222	249	4	e	e	PROPN
hjic-222	249	5	se	se	X
hjic-222	249	6	rie	rie	PROPN
hjic-222	249	7	s	s	PROPN
hjic-222	249	8	le	le	X
hjic-222	249	9	ng	ng	PROPN
hjic-222	249	10	th	th	X
hjic-222	249	11	27	27	NUM
hjic-222	249	12	0	0	NUM
hjic-222	249	13	17	17	NUM
hjic-222	249	14	6	6	NUM
hjic-222	249	15	47	47	NUM
hjic-222	249	16	0	0	NUM
hjic-222	249	17	12	12	NUM
hjic-222	249	18	8	8	NUM
hjic-222	249	19	28	28	NUM
hjic-222	249	20	6	6	NUM
hjic-222	249	21	96	96	NUM
hjic-222	249	22	35	35	NUM
hjic-222	249	23	0	0	NUM
hjic-222	249	24	46	46	NUM
hjic-222	249	25	3	3	NUM
hjic-222	249	26	n	n	NUM
hjic-222	249	27	um	um	INTJ
hjic-222	249	28	be	be	AUX
hjic-222	249	29	r	r	NOUN
hjic-222	249	30	o	o	X
hjic-222	249	31	f	f	X
hjic-222	249	32	cl	cl	NOUN
hjic-222	249	33	as	as	SCONJ
hjic-222	249	34	se	se	PROPN
hjic-222	249	35	s	s	PROPN
hjic-222	249	36	50	50	NUM
hjic-222	249	37	37	37	NUM
hjic-222	249	38	5	5	NUM
hjic-222	249	39	3	3	NUM
hjic-222	249	40	2	2	NUM
hjic-222	249	41	2	2	NUM
hjic-222	249	42	4	4	NUM
hjic-222	249	43	7	7	NUM
hjic-222	249	44	n	n	NUM
hjic-222	249	45	am	be	AUX
hjic-222	249	46	e	e	NOUN
hjic-222	249	47	50	50	NUM
hjic-222	249	48	w	w	NOUN
hjic-222	249	49	or	or	CCONJ
hjic-222	249	50	ds	ds	PRON
hjic-222	249	51	a	a	DET
hjic-222	249	52	di	di	X
hjic-222	249	53	ac	ac	PROPN
hjic-222	249	54	b	b	PROPN
hjic-222	249	55	ee	ee	PROPN
hjic-222	250	1	f	f	PROPN
hjic-222	250	2	c	c	PROPN
hjic-222	250	3	b	b	PROPN
hjic-222	250	4	f	f	PROPN
hjic-222	250	5	c	c	PROPN
hjic-222	250	6	of	of	ADP
hjic-222	250	7	fe	fe	X
hjic-222	250	8	e	e	PROPN
hjic-222	250	9	ec	ec	PROPN
hjic-222	250	10	g	g	PROPN
hjic-222	250	11	fa	fa	PROPN
hjic-222	250	12	ce	ce	PROPN
hjic-222	250	13	(	(	PUNCT
hjic-222	250	14	f	f	X
hjic-222	250	15	ou	ou	PROPN
hjic-222	250	16	r	r	PROPN
hjic-222	250	17	)	)	PUNCT
hjic-222	250	18	fi	fi	NOUN
hjic-222	250	19	sh	sh	INTJ
hjic-222	250	20	ta	ta	PROPN
hjic-222	250	21	bl	bl	PROPN
hjic-222	250	22	e	e	PROPN
hjic-222	250	23	1	1	NUM
hjic-222	250	24	:	:	PUNCT
hjic-222	250	25	r	r	NOUN
hjic-222	250	26	es	es	X
hjic-222	250	27	ul	ul	INTJ
hjic-222	250	28	ts	ts	ADP
hjic-222	250	29	o	o	PROPN
hjic-222	250	30	f	f	X
hjic-222	250	31	th	th	X
hjic-222	250	32	e	e	X
hjic-222	250	33	u	u	NOUN
hjic-222	250	34	c	c	NOUN
hjic-222	250	35	r	r	NOUN
hjic-222	250	36	ti	ti	NOUN
hjic-222	250	37	m	m	NOUN
hjic-222	250	38	e	e	PROPN
hjic-222	250	39	se	se	X
hjic-222	250	40	rie	rie	X
hjic-222	250	41	s	s	PROPN
hjic-222	250	42	cl	cl	NOUN
hjic-222	250	43	as	as	ADP
hjic-222	250	44	si	si	PROPN
hjic-222	250	45	fic	fic	NOUN
hjic-222	250	46	at	at	ADP
hjic-222	250	47	io	io	PROPN
hjic-222	250	48	n	n	PROPN
hjic-222	250	49	al	al	PROPN
hjic-222	250	50	go	go	VERB
hjic-222	250	51	rit	rit	NOUN
hjic-222	251	1	hm	hm	INTJ
hjic-222	251	2	o	o	PROPN
hjic-222	251	3	n	n	CCONJ
hjic-222	251	4	th	th	X
hjic-222	251	5	e	e	PROPN
hjic-222	251	6	fir	fir	PROPN
hjic-222	251	7	st	st	PROPN
hjic-222	251	8	e	e	PROPN
hjic-222	251	9	ig	ig	PROPN
hjic-222	251	10	ht	ht	PROPN
hjic-222	251	11	65	65	NUM
hjic-222	251	12	a	a	DET
hjic-222	251	13	ng	ng	PROPN
hjic-222	251	14	le	le	ADP
hjic-222	251	15	3	3	NUM
hjic-222	251	16	0	0	NUM
hjic-222	251	17	se	se	PROPN
hjic-222	251	18	gm	gm	PROPN
hjic-222	251	19	en	en	X
hjic-222	251	20	ts	ts	X
hjic-222	251	21	d	d	PROPN
hjic-222	251	22	tw	tw	PROPN
hjic-222	251	23	0	0	NUM
hjic-222	251	24	.	.	PUNCT
hjic-222	252	1	05	05	NUM
hjic-222	252	2	0	0	NUM
hjic-222	252	3	.	.	PROPN
hjic-222	253	1	44	44	NUM
hjic-222	253	2	0	0	NUM
hjic-222	253	3	.	.	PUNCT
hjic-222	254	1	67	67	NUM
hjic-222	254	2	0	0	NUM
hjic-222	254	3	.	.	PUNCT
hjic-222	255	1	37	37	NUM
hjic-222	255	2	0	0	NUM
hjic-222	255	3	.	.	PROPN
hjic-222	255	4	29	29	NUM
hjic-222	255	5	0	0	NUM
hjic-222	255	6	.	.	PUNCT
hjic-222	256	1	22	22	NUM
hjic-222	256	2	0	0	NUM
hjic-222	256	3	.	.	PUNCT
hjic-222	257	1	67	67	NUM
hjic-222	257	2	0	0	NUM
hjic-222	257	3	.	.	NUM
hjic-222	257	4	01	01	NUM
hjic-222	258	1	a	a	DET
hjic-222	258	2	ng	ng	PROPN
hjic-222	258	3	le	le	ADP
hjic-222	258	4	3	3	NUM
hjic-222	258	5	0	0	NUM
hjic-222	258	6	se	se	PROPN
hjic-222	258	7	gm	gm	PROPN
hjic-222	258	8	en	en	X
hjic-222	258	9	ts	ts	ADP
hjic-222	258	10	eu	eu	PROPN
hjic-222	258	11	cl	cl	PROPN
hjic-222	258	12	i	i	PROPN
hjic-222	258	13	d	d	PROPN
hjic-222	258	14	ea	ea	PROPN
hjic-222	258	15	n	n	PROPN
hjic-222	258	16	0	0	NUM
hjic-222	258	17	.	.	PUNCT
hjic-222	259	1	05	05	NUM
hjic-222	259	2	0	0	NUM
hjic-222	259	3	.	.	PUNCT
hjic-222	260	1	39	39	NUM
hjic-222	260	2	0	0	NUM
hjic-222	260	3	.	.	PUNCT
hjic-222	261	1	78	78	NUM
hjic-222	261	2	0	0	NUM
hjic-222	261	3	.	.	PUNCT
hjic-222	262	1	40	40	NUM
hjic-222	262	2	0	0	NUM
hjic-222	262	3	.	.	PUNCT
hjic-222	263	1	70	70	NUM
hjic-222	263	2	0	0	NUM
hjic-222	263	3	.	.	PUNCT
hjic-222	264	1	51	51	NUM
hjic-222	264	2	0	0	NUM
hjic-222	264	3	.	.	PUNCT
hjic-222	265	1	67	67	NUM
hjic-222	265	2	0	0	NUM
hjic-222	265	3	.	.	X
hjic-222	266	1	17	17	NUM
hjic-222	266	2	pl	pl	NOUN
hjic-222	266	3	a	a	DET
hjic-222	266	4	3	3	NUM
hjic-222	266	5	0	0	NUM
hjic-222	266	6	se	se	X
hjic-222	266	7	gm	gm	PROPN
hjic-222	266	8	en	en	X
hjic-222	266	9	ts	ts	X
hjic-222	266	10	d	d	PROPN
hjic-222	266	11	tw	tw	PROPN
hjic-222	266	12	0	0	NUM
hjic-222	266	13	.	.	PUNCT
hjic-222	267	1	07	07	NUM
hjic-222	267	2	0	0	NUM
hjic-222	267	3	.	.	PROPN
hjic-222	268	1	20	20	NUM
hjic-222	268	2	0	0	NUM
hjic-222	268	3	.	.	PUNCT
hjic-222	269	1	44	44	NUM
hjic-222	269	2	0	0	NUM
hjic-222	269	3	.	.	PROPN
hjic-222	269	4	30	30	NUM
hjic-222	269	5	0	0	NUM
hjic-222	269	6	.	.	PROPN
hjic-222	270	1	44	44	NUM
hjic-222	270	2	0	0	NUM
hjic-222	270	3	.	.	PUNCT
hjic-222	271	1	28	28	NUM
hjic-222	271	2	0	0	NUM
hjic-222	271	3	.	.	PUNCT
hjic-222	272	1	01	01	NUM
hjic-222	272	2	0	0	NUM
hjic-222	272	3	.	.	X
hjic-222	272	4	03	03	NUM
hjic-222	273	1	pl	pl	PROPN
hjic-222	273	2	a	a	DET
hjic-222	273	3	3	3	NUM
hjic-222	273	4	0	0	NUM
hjic-222	273	5	se	se	X
hjic-222	273	6	gm	gm	PROPN
hjic-222	273	7	en	en	X
hjic-222	273	8	ts	ts	ADP
hjic-222	273	9	eu	eu	PROPN
hjic-222	273	10	cl	cl	PROPN
hjic-222	273	11	i	i	PROPN
hjic-222	273	12	d	d	PROPN
hjic-222	273	13	ea	ea	PROPN
hjic-222	273	14	n	n	PROPN
hjic-222	273	15	0	0	NUM
hjic-222	273	16	.	.	PROPN
hjic-222	274	1	07	07	NUM
hjic-222	274	2	0	0	NUM
hjic-222	274	3	.	.	PUNCT
hjic-222	275	1	31	31	NUM
hjic-222	275	2	0	0	NUM
hjic-222	275	3	.	.	PUNCT
hjic-222	276	1	47	47	NUM
hjic-222	276	2	0	0	NUM
hjic-222	276	3	.	.	PUNCT
hjic-222	277	1	33	33	NUM
hjic-222	277	2	0	0	NUM
hjic-222	277	3	.	.	PUNCT
hjic-222	278	1	52	52	NUM
hjic-222	278	2	0	0	NUM
hjic-222	278	3	.	.	PUNCT
hjic-222	279	1	44	44	NUM
hjic-222	279	2	0	0	NUM
hjic-222	279	3	.	.	PUNCT
hjic-222	280	1	01	01	NUM
hjic-222	280	2	0	0	NUM
hjic-222	280	3	.	.	NUM
hjic-222	281	1	19	19	NUM
hjic-222	281	2	pa	pa	PROPN
hjic-222	281	3	a	a	DET
hjic-222	281	4	3	3	NUM
hjic-222	281	5	0	0	NUM
hjic-222	281	6	se	se	X
hjic-222	281	7	gm	gm	PROPN
hjic-222	281	8	en	en	X
hjic-222	281	9	ts	ts	X
hjic-222	281	10	d	d	PROPN
hjic-222	281	11	tw	tw	PROPN
hjic-222	281	12	0	0	NUM
hjic-222	281	13	.	.	PUNCT
hjic-222	281	14	07	07	NUM
hjic-222	281	15	0	0	NUM
hjic-222	281	16	.	.	PUNCT
hjic-222	281	17	26	26	NUM
hjic-222	281	18	0	0	NUM
hjic-222	281	19	.	.	PROPN
hjic-222	281	20	30	30	NUM
hjic-222	281	21	0	0	NUM
hjic-222	281	22	.	.	PROPN
hjic-222	281	23	13	13	NUM
hjic-222	281	24	0	0	NUM
hjic-222	281	25	.	.	PUNCT
hjic-222	282	1	42	42	NUM
hjic-222	282	2	0	0	NUM
hjic-222	282	3	.	.	PUNCT
hjic-222	283	1	21	21	NUM
hjic-222	283	2	0	0	NUM
hjic-222	283	3	.	.	PUNCT
hjic-222	284	1	04	04	NUM
hjic-222	284	2	0	0	NUM
hjic-222	284	3	.	.	PUNCT
hjic-222	285	1	10	10	NUM
hjic-222	285	2	pa	pa	PROPN
hjic-222	285	3	a	a	DET
hjic-222	285	4	3	3	NUM
hjic-222	285	5	0	0	NUM
hjic-222	285	6	se	se	X
hjic-222	285	7	gm	gm	PROPN
hjic-222	285	8	en	en	X
hjic-222	285	9	ts	ts	ADP
hjic-222	285	10	eu	eu	PROPN
hjic-222	285	11	cl	cl	PROPN
hjic-222	285	12	i	i	PROPN
hjic-222	285	13	d	d	PROPN
hjic-222	285	14	ea	ea	PROPN
hjic-222	285	15	n	n	PROPN
hjic-222	285	16	0	0	NUM
hjic-222	285	17	.	.	PROPN
hjic-222	285	18	09	09	NUM
hjic-222	285	19	0	0	NUM
hjic-222	285	20	.	.	PUNCT
hjic-222	286	1	25	25	NUM
hjic-222	286	2	0	0	NUM
hjic-222	286	3	.	.	PUNCT
hjic-222	287	1	34	34	NUM
hjic-222	287	2	0	0	NUM
hjic-222	287	3	.	.	PROPN
hjic-222	288	1	13	13	NUM
hjic-222	288	2	0	0	NUM
hjic-222	288	3	.	.	PUNCT
hjic-222	289	1	47	47	NUM
hjic-222	289	2	0	0	NUM
hjic-222	289	3	.	.	PUNCT
hjic-222	289	4	21	21	NUM
hjic-222	289	5	0	0	NUM
hjic-222	289	6	.	.	PUNCT
hjic-222	290	1	01	01	NUM
hjic-222	290	2	0	0	NUM
hjic-222	290	3	.	.	NOUN
hjic-222	290	4	29	29	NUM
hjic-222	291	1	n	n	NUM
hjic-222	291	2	o	o	PROPN
hjic-222	291	3	w	w	PROPN
hjic-222	291	4	ar	ar	PROPN
hjic-222	291	5	pi	pi	PROPN
hjic-222	291	6	ng	ng	PROPN
hjic-222	291	7	w	w	PROPN
hjic-222	292	1	in	in	ADP
hjic-222	292	2	do	do	PROPN
hjic-222	292	3	w	w	NOUN
hjic-222	292	4	d	d	NOUN
hjic-222	292	5	tw	tw	NOUN
hjic-222	292	6	0	0	NUM
hjic-222	292	7	.	.	PROPN
hjic-222	292	8	09	09	NUM
hjic-222	292	9	0	0	NUM
hjic-222	292	10	.	.	NOUN
hjic-222	292	11	13	13	NUM
hjic-222	292	12	0	0	NUM
hjic-222	292	13	.	.	PUNCT
hjic-222	292	14	27	27	NUM
hjic-222	292	15	0	0	NUM
hjic-222	292	16	.	.	PUNCT
hjic-222	292	17	13	13	NUM
hjic-222	292	18	0	0	NUM
hjic-222	292	19	.	.	PUNCT
hjic-222	293	1	41	41	NUM
hjic-222	293	2	0	0	NUM
hjic-222	293	3	.	.	PUNCT
hjic-222	294	1	21	21	NUM
hjic-222	294	2	0	0	NUM
hjic-222	294	3	.	.	PUNCT
hjic-222	295	1	01	01	NUM
hjic-222	295	2	0	0	NUM
hjic-222	295	3	.	.	PUNCT
hjic-222	295	4	00	00	PUNCT
hjic-222	296	1	eu	eu	PROPN
hjic-222	296	2	cl	cl	PROPN
hjic-222	296	3	i	i	PROPN
hjic-222	296	4	d	d	PROPN
hjic-222	296	5	ea	ea	PROPN
hjic-222	297	1	n	n	PROPN
hjic-222	297	2	d	d	NOUN
hjic-222	297	3	is	be	AUX
hjic-222	297	4	ta	ta	PROPN
hjic-222	297	5	nc	nc	PROPN
hjic-222	297	6	e	e	PROPN
hjic-222	297	7	0	0	PROPN
hjic-222	297	8	.	.	PROPN
hjic-222	297	9	09	09	NUM
hjic-222	297	10	0	0	NUM
hjic-222	297	11	.	.	PUNCT
hjic-222	298	1	25	25	NUM
hjic-222	298	2	0	0	NUM
hjic-222	298	3	.	.	PUNCT
hjic-222	299	1	43	43	NUM
hjic-222	299	2	0	0	NUM
hjic-222	299	3	.	.	PROPN
hjic-222	300	1	13	13	NUM
hjic-222	300	2	0	0	NUM
hjic-222	300	3	.	.	PUNCT
hjic-222	301	1	48	48	NUM
hjic-222	301	2	0	0	NUM
hjic-222	301	3	.	.	PUNCT
hjic-222	302	1	21	21	NUM
hjic-222	302	2	0	0	NUM
hjic-222	302	3	.	.	PUNCT
hjic-222	303	1	12	12	NUM
hjic-222	303	2	0	0	NUM
hjic-222	303	3	.	.	X
hjic-222	303	4	24	24	NUM
hjic-222	303	5	ti	ti	NOUN
hjic-222	303	6	m	m	VERB
hjic-222	303	7	e	e	PROPN
hjic-222	303	8	se	se	X
hjic-222	303	9	rie	rie	PROPN
hjic-222	303	10	s	s	PROPN
hjic-222	303	11	le	le	X
hjic-222	303	12	ng	ng	PROPN
hjic-222	303	13	th	th	X
hjic-222	303	14	15	15	NUM
hjic-222	303	15	0	0	NUM
hjic-222	303	16	63	63	NUM
hjic-222	303	17	7	7	NUM
hjic-222	303	18	31	31	NUM
hjic-222	303	19	9	9	NUM
hjic-222	303	20	57	57	NUM
hjic-222	303	21	0	0	NUM
hjic-222	303	22	42	42	NUM
hjic-222	303	23	7	7	NUM
hjic-222	303	24	12	12	NUM
hjic-222	303	25	8	8	NUM
hjic-222	303	26	60	60	NUM
hjic-222	303	27	27	27	NUM
hjic-222	303	28	5	5	NUM
hjic-222	303	29	n	n	NUM
hjic-222	303	30	um	um	INTJ
hjic-222	303	31	be	be	AUX
hjic-222	303	32	r	r	NOUN
hjic-222	303	33	o	o	X
hjic-222	303	34	f	f	X
hjic-222	303	35	cl	cl	NOUN
hjic-222	303	36	as	as	ADP
hjic-222	303	37	se	se	PROPN
hjic-222	303	38	s	s	PROPN
hjic-222	303	39	2	2	NUM
hjic-222	303	40	2	2	NUM
hjic-222	303	41	7	7	NUM
hjic-222	303	42	4	4	NUM
hjic-222	303	43	6	6	NUM
hjic-222	303	44	15	15	NUM
hjic-222	303	45	6	6	NUM
hjic-222	303	46	4	4	NUM
hjic-222	303	47	n	n	NUM
hjic-222	303	48	am	be	AUX
hjic-222	303	49	e	e	X
hjic-222	303	50	g	g	PROPN
hjic-222	303	51	un	un	PROPN
hjic-222	304	1	-p	-p	ADV
hjic-222	304	2	oi	oi	INTJ
hjic-222	304	3	nt	not	PART
hjic-222	304	4	li	li	PROPN
hjic-222	304	5	gh	gh	PROPN
hjic-222	304	6	tn	tn	PROPN
hjic-222	304	7	in	in	ADP
hjic-222	304	8	g2	g2	PROPN
hjic-222	304	9	li	li	PROPN
hjic-222	304	10	gh	gh	PROPN
hjic-222	304	11	tn	tn	PROPN
hjic-222	304	12	in	in	ADP
hjic-222	304	13	g7	g7	PROPN
hjic-222	305	1	o	o	PROPN
hjic-222	305	2	liv	liv	PROPN
hjic-222	306	1	eo	eo	PROPN
hjic-222	306	2	il	il	PROPN
hjic-222	306	3	o	o	PROPN
hjic-222	306	4	su	su	PROPN
hjic-222	307	1	l	l	PROPN
hjic-222	307	2	ea	ea	PROPN
hjic-222	307	3	f	f	PROPN
hjic-222	307	4	sw	sw	PROPN
hjic-222	307	5	ed	ed	PROPN
hjic-222	307	6	is	be	AUX
hjic-222	307	7	h	h	NOUN
hjic-222	307	8	le	le	X
hjic-222	307	9	af	af	PROPN
hjic-222	308	1	sy	sy	INTJ
hjic-222	309	1	nt	not	PART
hjic-222	310	1	he	he	PRON
hjic-222	310	2	tic	tic	ADJ
hjic-222	310	3	c	c	NOUN
hjic-222	310	4	on	on	ADP
hjic-222	310	5	tro	tro	X
hjic-222	310	6	l	l	NOUN
hjic-222	310	7	tr	tr	VERB
hjic-222	310	8	ac	ac	PROPN
hjic-222	310	9	e	e	NOUN
hjic-222	310	10	‘	'	PUNCT
hjic-222	310	11	angle	angle	NOUN
hjic-222	310	12	’	'	PUNCT
hjic-222	310	13	denotes	denote	VERB
hjic-222	310	14	the	the	DET
hjic-222	310	15	presented	present	VERB
hjic-222	310	16	similarity	similarity	NOUN
hjic-222	310	17	measure	measure	NOUN
hjic-222	310	18	.	.	PUNCT
hjic-222	311	1	the	the	DET
hjic-222	311	2	time	time	NOUN
hjic-222	311	3	series	series	PROPN
hjic-222	311	4	were	be	AUX
hjic-222	311	5	segmented	segment	VERB
hjic-222	311	6	to	to	ADP
hjic-222	311	7	30	30	NUM
hjic-222	311	8	pieces	piece	NOUN
hjic-222	311	9	again	again	ADV
hjic-222	311	10	but	but	CCONJ
hjic-222	311	11	now	now	ADV
hjic-222	311	12	the	the	DET
hjic-222	311	13	slope	slope	NOUN
hjic-222	311	14	of	of	ADP
hjic-222	311	15	each	each	DET
hjic-222	311	16	segment	segment	NOUN
hjic-222	311	17	was	be	AUX
hjic-222	311	18	considered	consider	VERB
hjic-222	311	19	.	.	PUNCT
hjic-222	312	1	the	the	DET
hjic-222	312	2	provided	provide	VERB
hjic-222	312	3	representations	representation	NOUN
hjic-222	312	4	were	be	AUX
hjic-222	312	5	also	also	ADV
hjic-222	312	6	compared	compare	VERB
hjic-222	312	7	with	with	ADP
hjic-222	312	8	euclidean	euclidean	ADJ
hjic-222	312	9	distance	distance	NOUN
hjic-222	312	10	and	and	CCONJ
hjic-222	312	11	dtw	dtw	PROPN
hjic-222	312	12	.	.	PUNCT
hjic-222	313	1	the	the	DET
hjic-222	313	2	best	good	ADJ
hjic-222	313	3	results	result	NOUN
hjic-222	313	4	are	be	AUX
hjic-222	313	5	marked	mark	VERB
hjic-222	313	6	with	with	ADP
hjic-222	313	7	dark	dark	ADJ
hjic-222	313	8	grey	grey	NOUN
hjic-222	313	9	for	for	ADP
hjic-222	313	10	each	each	DET
hjic-222	313	11	database	database	NOUN
hjic-222	313	12	.	.	PUNCT
hjic-222	314	1	as	as	SCONJ
hjic-222	314	2	it	it	PRON
hjic-222	314	3	can	can	AUX
hjic-222	314	4	be	be	AUX
hjic-222	314	5	seen	see	VERB
hjic-222	314	6	the	the	DET
hjic-222	314	7	newly	newly	ADV
hjic-222	314	8	presented	present	VERB
hjic-222	314	9	method	method	NOUN
hjic-222	314	10	kept	keep	VERB
hjic-222	314	11	up	up	ADP
hjic-222	314	12	with	with	ADP
hjic-222	314	13	the	the	DET
hjic-222	314	14	expectations	expectation	NOUN
hjic-222	314	15	.	.	PUNCT
hjic-222	315	1	however	however	ADV
hjic-222	315	2	,	,	PUNCT
hjic-222	315	3	some	some	DET
hjic-222	315	4	notes	note	NOUN
hjic-222	315	5	have	have	VERB
hjic-222	315	6	to	to	PART
hjic-222	315	7	be	be	AUX
hjic-222	315	8	made	make	VERB
hjic-222	315	9	on	on	ADP
hjic-222	315	10	the	the	DET
hjic-222	315	11	results	result	NOUN
hjic-222	315	12	.	.	PUNCT
hjic-222	316	1	one	one	PRON
hjic-222	316	2	can	can	AUX
hjic-222	316	3	realize	realize	VERB
hjic-222	316	4	that	that	SCONJ
hjic-222	316	5	the	the	DET
hjic-222	316	6	reduction	reduction	NOUN
hjic-222	316	7	obtained	obtain	VERB
hjic-222	316	8	by	by	ADP
hjic-222	316	9	the	the	DET
hjic-222	316	10	segmentation	segmentation	NOUN
hjic-222	316	11	was	be	AUX
hjic-222	316	12	only	only	ADV
hjic-222	316	13	about	about	ADV
hjic-222	316	14	one	one	NUM
hjic-222	316	15	order	order	NOUN
hjic-222	316	16	of	of	ADP
hjic-222	316	17	magnitude	magnitude	NOUN
hjic-222	316	18	which	which	PRON
hjic-222	316	19	ensures	ensure	VERB
hjic-222	316	20	the	the	DET
hjic-222	316	21	tight	tight	ADJ
hjic-222	316	22	representation	representation	NOUN
hjic-222	316	23	even	even	ADV
hjic-222	316	24	with	with	ADP
hjic-222	316	25	paa	paa	NOUN
hjic-222	316	26	and	and	CCONJ
hjic-222	316	27	30	30	NUM
hjic-222	316	28	segments	segment	NOUN
hjic-222	316	29	is	be	AUX
hjic-222	316	30	too	too	ADV
hjic-222	316	31	much	much	ADJ
hjic-222	316	32	for	for	ADP
hjic-222	316	33	most	most	ADJ
hjic-222	316	34	databases	database	NOUN
hjic-222	316	35	when	when	SCONJ
hjic-222	316	36	pla	pla	PROPN
hjic-222	316	37	is	be	AUX
hjic-222	316	38	used	use	VERB
hjic-222	316	39	.	.	PUNCT
hjic-222	317	1	moreover	moreover	ADV
hjic-222	317	2	,	,	PUNCT
hjic-222	317	3	all	all	PRON
hjic-222	317	4	of	of	ADP
hjic-222	317	5	the	the	DET
hjic-222	317	6	databases	database	NOUN
hjic-222	317	7	require	require	VERB
hjic-222	317	8	different	different	ADJ
hjic-222	317	9	number	number	NOUN
hjic-222	317	10	of	of	ADP
hjic-222	317	11	segments	segment	NOUN
hjic-222	317	12	to	to	PART
hjic-222	317	13	get	get	VERB
hjic-222	317	14	the	the	DET
hjic-222	317	15	best	good	ADJ
hjic-222	317	16	results	result	NOUN
hjic-222	317	17	.	.	PUNCT
hjic-222	318	1	the	the	DET
hjic-222	318	2	aim	aim	NOUN
hjic-222	318	3	of	of	ADP
hjic-222	318	4	this	this	DET
hjic-222	318	5	test	test	NOUN
hjic-222	318	6	was	be	AUX
hjic-222	318	7	to	to	PART
hjic-222	318	8	show	show	VERB
hjic-222	318	9	that	that	SCONJ
hjic-222	318	10	it	it	PRON
hjic-222	318	11	really	really	ADV
hjic-222	318	12	makes	make	VERB
hjic-222	318	13	sense	sense	NOUN
hjic-222	318	14	to	to	PART
hjic-222	318	15	use	use	VERB
hjic-222	318	16	the	the	DET
hjic-222	318	17	slope	slope	NOUN
hjic-222	318	18	of	of	ADP
hjic-222	318	19	a	a	DET
hjic-222	318	20	segment	segment	NOUN
hjic-222	318	21	instead	instead	ADV
hjic-222	318	22	of	of	ADP
hjic-222	318	23	its	its	PRON
hjic-222	318	24	mean	mean	NOUN
hjic-222	318	25	when	when	SCONJ
hjic-222	318	26	the	the	DET
hjic-222	318	27	segment	segment	NOUN
hjic-222	318	28	is	be	AUX
hjic-222	318	29	provided	provide	VERB
hjic-222	318	30	by	by	ADP
hjic-222	318	31	pla	pla	NOUN
hjic-222	318	32	.	.	PUNCT
hjic-222	319	1	obviously	obviously	ADV
hjic-222	319	2	,	,	PUNCT
hjic-222	319	3	the	the	DET
hjic-222	319	4	best	good	ADJ
hjic-222	319	5	paa	paa	NOUN
hjic-222	319	6	and	and	CCONJ
hjic-222	319	7	pla	pla	NOUN
hjic-222	319	8	representation	representation	NOUN
hjic-222	319	9	can	can	AUX
hjic-222	319	10	be	be	AUX
hjic-222	319	11	found	find	VERB
hjic-222	319	12	for	for	ADP
hjic-222	319	13	all	all	DET
hjic-222	319	14	distance	distance	NOUN
hjic-222	319	15	measure	measure	NOUN
hjic-222	319	16	but	but	CCONJ
hjic-222	319	17	the	the	DET
hjic-222	319	18	idea	idea	NOUN
hjic-222	319	19	behind	behind	ADP
hjic-222	319	20	the	the	DET
hjic-222	319	21	creation	creation	NOUN
hjic-222	319	22	of	of	ADP
hjic-222	319	23	such	such	DET
hjic-222	319	24	a	a	DET
hjic-222	319	25	test	test	NOUN
hjic-222	319	26	is	be	AUX
hjic-222	319	27	to	to	PART
hjic-222	319	28	provide	provide	VERB
hjic-222	319	29	a	a	DET
hjic-222	319	30	unified	unified	ADJ
hjic-222	319	31	test	test	NOUN
hjic-222	319	32	environment	environment	NOUN
hjic-222	319	33	for	for	ADP
hjic-222	319	34	all	all	DET
hjic-222	319	35	measures	measure	NOUN
hjic-222	319	36	and	and	CCONJ
hjic-222	319	37	to	to	PART
hjic-222	319	38	prevent	prevent	VERB
hjic-222	319	39	the	the	DET
hjic-222	319	40	researcher	researcher	NOUN
hjic-222	319	41	from	from	ADP
hjic-222	319	42	“	"	PUNCT
hjic-222	319	43	over	over	ADP
hjic-222	319	44	optimization	optimization	NOUN
hjic-222	319	45	”	"	PUNCT
hjic-222	319	46	.	.	PUNCT
hjic-222	320	1	validation	validation	NOUN
hjic-222	320	2	on	on	ADP
hjic-222	320	3	an	an	DET
hjic-222	320	4	industrial	industrial	ADJ
hjic-222	320	5	fixed	fix	VERB
hjic-222	320	6	bed	bed	NOUN
hjic-222	320	7	tube	tube	NOUN
hjic-222	320	8	reactor	reactor	NOUN
hjic-222	320	9	the	the	DET
hjic-222	320	10	proposed	propose	VERB
hjic-222	320	11	pca	pca	NOUN
hjic-222	320	12	driven	drive	VERB
hjic-222	320	13	similaity	similaity	NOUN
hjic-222	320	14	measure	measure	NOUN
hjic-222	320	15	has	have	AUX
hjic-222	320	16	also	also	ADV
hjic-222	320	17	been	be	AUX
hjic-222	320	18	applied	apply	VERB
hjic-222	320	19	for	for	ADP
hjic-222	320	20	clustering	clustering	NOUN
hjic-222	320	21	of	of	ADP
hjic-222	320	22	temperature	temperature	NOUN
hjic-222	320	23	data	datum	NOUN
hjic-222	320	24	from	from	ADP
hjic-222	320	25	a	a	DET
hjic-222	320	26	sophisticated	sophisticated	ADJ
hjic-222	320	27	model	model	NOUN
hjic-222	320	28	of	of	ADP
hjic-222	320	29	an	an	DET
hjic-222	320	30	industrial	industrial	ADJ
hjic-222	320	31	catalytic	catalytic	ADJ
hjic-222	320	32	fixed	fix	VERB
hjic-222	320	33	bed	bed	NOUN
hjic-222	320	34	tube	tube	NOUN
hjic-222	320	35	reactor	reactor	NOUN
hjic-222	320	36	.	.	PUNCT
hjic-222	321	1	coolant	coolant	NOUN
hjic-222	321	2	in	in	ADP
hjic-222	321	3	coolant	coolant	NOUN
hjic-222	321	4	out	out	ADP
hjic-222	321	5	reagents	reagent	NOUN
hjic-222	321	6	product	product	NOUN
hjic-222	321	7	x	x	NOUN
hjic-222	321	8	=	=	SYM
hjic-222	321	9	0	0	PUNCT
hjic-222	321	10	x	x	SYM
hjic-222	321	11	=	=	SYM
hjic-222	321	12	l	l	NOUN
hjic-222	321	13	(	(	PUNCT
hjic-222	321	14	)	)	PUNCT
hjic-222	321	15	wout	wout	PROPN
hjic-222	321	16	,	,	PUNCT
hjic-222	321	17	w	w	PROPN
hjic-222	321	18	b	b	PROPN
hjic-222	321	19	,	,	PUNCT
hjic-222	321	20	t	t	PROPN
hjic-222	321	21	(	(	PUNCT
hjic-222	321	22	)	)	PUNCT
hjic-222	321	23	win	win	NOUN
hjic-222	321	24	,	,	PUNCT
hjic-222	321	25	w	w	PROPN
hjic-222	321	26	b	b	PROPN
hjic-222	321	27	,	,	PUNCT
hjic-222	321	28	t	t	PROPN
hjic-222	321	29	(	(	PUNCT
hjic-222	321	30	)	)	PUNCT
hjic-222	321	31	out	out	ADV
hjic-222	321	32	,	,	PUNCT
hjic-222	321	33	gout	gout	NOUN
hjic-222	321	34	,	,	PUNCT
hjic-222	321	35	g	g	PROPN
hjic-222	321	36	i	i	PRON
hjic-222	321	37	out	out	ADP
hjic-222	321	38	,	,	PUNCT
hjic-222	321	39	gout	gout	NOUN
hjic-222	321	40	,	,	PUNCT
hjic-222	321	41	g	g	PROPN
hjic-222	321	42	p	p	PROPN
hjic-222	321	43	,	,	PUNCT
hjic-222	321	44	c	c	X
hjic-222	321	45	,	,	PUNCT
hjic-222	321	46	b	b	PROPN
hjic-222	321	47	,	,	PUNCT
hjic-222	321	48	t	t	PROPN
hjic-222	321	49	(	(	PUNCT
hjic-222	321	50	)	)	PUNCT
hjic-222	321	51	in	in	ADP
hjic-222	321	52	,	,	PUNCT
hjic-222	321	53	gin	gin	NOUN
hjic-222	321	54	,	,	PUNCT
hjic-222	321	55	g	g	PROPN
hjic-222	321	56	i	i	PRON
hjic-222	321	57	in	in	ADP
hjic-222	321	58	,	,	PUNCT
hjic-222	321	59	gin	gin	NOUN
hjic-222	321	60	,	,	PUNCT
hjic-222	321	61	g	g	PROPN
hjic-222	321	62	p	p	PROPN
hjic-222	321	63	,	,	PUNCT
hjic-222	321	64	c	c	X
hjic-222	321	65	,	,	PUNCT
hjic-222	321	66	b	b	PROPN
hjic-222	321	67	,	,	PUNCT
hjic-222	321	68	t	t	PROPN
hjic-222	321	69	figure	figure	NOUN
hjic-222	321	70	5	5	NUM
hjic-222	321	71	:	:	PUNCT
hjic-222	321	72	the	the	DET
hjic-222	321	73	simplified	simplified	ADJ
hjic-222	321	74	scheme	scheme	NOUN
hjic-222	321	75	of	of	ADP
hjic-222	321	76	the	the	DET
hjic-222	321	77	studied	studied	ADJ
hjic-222	321	78	reactor	reactor	NOUN
hjic-222	321	79	the	the	DET
hjic-222	321	80	studied	study	VERB
hjic-222	321	81	vertically	vertically	ADV
hjic-222	321	82	built	build	VERB
hjic-222	321	83	up	up	ADP
hjic-222	321	84	reactor	reactor	NOUN
hjic-222	321	85	contains	contain	VERB
hjic-222	321	86	a	a	DET
hjic-222	321	87	great	great	ADJ
hjic-222	321	88	number	number	NOUN
hjic-222	321	89	of	of	ADP
hjic-222	321	90	tubes	tube	NOUN
hjic-222	321	91	with	with	ADP
hjic-222	321	92	catalyst	catalyst	NOUN
hjic-222	321	93	.	.	PUNCT
hjic-222	322	1	highly	highly	ADV
hjic-222	322	2	exothermic	exothermic	ADJ
hjic-222	322	3	reaction	reaction	NOUN
hjic-222	322	4	occurs	occur	VERB
hjic-222	322	5	as	as	SCONJ
hjic-222	322	6	the	the	DET
hjic-222	322	7	reactants	reactant	NOUN
hjic-222	322	8	rising	rise	VERB
hjic-222	322	9	up	up	ADP
hjic-222	322	10	the	the	DET
hjic-222	322	11	tubes	tube	NOUN
hjic-222	322	12	pass	pass	VERB
hjic-222	322	13	the	the	DET
hjic-222	322	14	fixed	fix	VERB
hjic-222	322	15	bed	bed	NOUN
hjic-222	322	16	of	of	ADP
hjic-222	322	17	catalyst	catalyst	NOUN
hjic-222	322	18	particles	particle	NOUN
hjic-222	322	19	and	and	CCONJ
hjic-222	322	20	the	the	DET
hjic-222	322	21	heat	heat	NOUN
hjic-222	322	22	generated	generate	VERB
hjic-222	322	23	ta	ta	AUX
hjic-222	322	24	bl	bl	PROPN
hjic-222	322	25	e	e	PROPN
hjic-222	322	26	2	2	NUM
hjic-222	322	27	:	:	PUNCT
hjic-222	322	28	r	r	NOUN
hjic-222	322	29	es	es	X
hjic-222	322	30	ul	ul	INTJ
hjic-222	322	31	ts	ts	ADP
hjic-222	322	32	o	o	PROPN
hjic-222	323	1	f	f	PROPN
hjic-222	324	1	t	t	X
hjic-222	324	2	he	he	PRON
hjic-222	324	3	u	u	INTJ
hjic-222	324	4	c	c	NOUN
hjic-222	324	5	r	r	NOUN
hjic-222	324	6	ti	ti	NOUN
hjic-222	324	7	m	m	NOUN
hjic-222	324	8	e	e	PROPN
hjic-222	324	9	se	se	X
hjic-222	324	10	rie	rie	PROPN
hjic-222	324	11	s	s	PROPN
hjic-222	324	12	c	c	PROPN
hjic-222	324	13	la	la	PROPN
hjic-222	324	14	ss	ss	PROPN
hjic-222	324	15	ifi	ifi	PROPN
hjic-222	324	16	ca	can	AUX
hjic-222	324	17	tio	tio	VERB
hjic-222	324	18	n	n	PROPN
hjic-222	324	19	al	al	PROPN
hjic-222	324	20	go	go	VERB
hjic-222	324	21	rit	rit	NOUN
hjic-222	325	1	hm	hm	INTJ
hjic-222	325	2	o	o	PROPN
hjic-222	326	1	n	n	X
hjic-222	326	2	th	th	X
hjic-222	326	3	e	e	X
hjic-222	326	4	se	se	X
hjic-222	326	5	co	co	PROPN
hjic-222	326	6	nd	nd	PROPN
hjic-222	326	7	e	e	VERB
hjic-222	326	8	ig	ig	NOUN
hjic-222	326	9	ht	ht	PROPN
hjic-222	326	10	d	d	PROPN
hjic-222	326	11	at	at	ADP
hjic-222	326	12	as	as	SCONJ
hjic-222	326	13	et	et	PROPN
hjic-222	326	14	s	s	PROPN
hjic-222	326	15	66	66	NUM
hjic-222	326	16	by	by	ADP
hjic-222	326	17	the	the	DET
hjic-222	326	18	reaction	reaction	NOUN
hjic-222	326	19	escapes	escape	VERB
hjic-222	326	20	through	through	ADP
hjic-222	326	21	the	the	DET
hjic-222	326	22	tube	tube	NOUN
hjic-222	326	23	walls	wall	NOUN
hjic-222	326	24	into	into	ADP
hjic-222	326	25	the	the	DET
hjic-222	326	26	cooling	cool	VERB
hjic-222	326	27	water	water	NOUN
hjic-222	326	28	.	.	PUNCT
hjic-222	327	1	due	due	ADP
hjic-222	327	2	to	to	ADP
hjic-222	327	3	this	this	DET
hjic-222	327	4	highly	highly	ADV
hjic-222	327	5	exothermic	exothermic	ADJ
hjic-222	327	6	reaction	reaction	NOUN
hjic-222	327	7	which	which	PRON
hjic-222	327	8	takes	take	VERB
hjic-222	327	9	place	place	NOUN
hjic-222	327	10	in	in	ADP
hjic-222	327	11	the	the	DET
hjic-222	327	12	catalyst	catalyst	NOUN
hjic-222	327	13	bed	bed	NOUN
hjic-222	327	14	the	the	DET
hjic-222	327	15	reactor	reactor	NOUN
hjic-222	327	16	very	very	ADV
hjic-222	327	17	sensitive	sensitive	ADJ
hjic-222	327	18	for	for	ADP
hjic-222	327	19	the	the	DET
hjic-222	327	20	development	development	NOUN
hjic-222	327	21	of	of	ADP
hjic-222	327	22	reactor	reactor	NOUN
hjic-222	327	23	runaway	runaway	NOUN
hjic-222	327	24	.	.	PUNCT
hjic-222	328	1	reactor	reactor	NOUN
hjic-222	328	2	runaway	runaway	NOUN
hjic-222	328	3	means	mean	VERB
hjic-222	328	4	a	a	DET
hjic-222	328	5	sudden	sudden	ADJ
hjic-222	328	6	and	and	CCONJ
hjic-222	328	7	considerable	considerable	ADJ
hjic-222	328	8	change	change	NOUN
hjic-222	328	9	in	in	ADP
hjic-222	328	10	the	the	DET
hjic-222	328	11	process	process	NOUN
hjic-222	328	12	variables	variable	NOUN
hjic-222	328	13	.	.	PUNCT
hjic-222	329	1	the	the	DET
hjic-222	329	2	development	development	NOUN
hjic-222	329	3	of	of	ADP
hjic-222	329	4	runaway	runaway	NOUN
hjic-222	329	5	is	be	AUX
hjic-222	329	6	in	in	ADP
hjic-222	329	7	very	very	ADV
hjic-222	329	8	close	close	ADJ
hjic-222	329	9	relationship	relationship	NOUN
hjic-222	329	10	with	with	ADP
hjic-222	329	11	the	the	DET
hjic-222	329	12	stability	stability	NOUN
hjic-222	329	13	of	of	ADP
hjic-222	329	14	reactor	reactor	NOUN
hjic-222	329	15	/	/	SYM
hjic-222	329	16	model	model	NOUN
hjic-222	329	17	.	.	PUNCT
hjic-222	330	1	runaway	runaway	NOUN
hjic-222	330	2	has	have	VERB
hjic-222	330	3	two	two	NUM
hjic-222	330	4	main	main	ADJ
hjic-222	330	5	important	important	ADJ
hjic-222	330	6	aspects	aspect	NOUN
hjic-222	330	7	.	.	PUNCT
hjic-222	331	1	in	in	ADP
hjic-222	331	2	one	one	NUM
hjic-222	331	3	hand	hand	NOUN
hjic-222	331	4	runaway	runaway	ADJ
hjic-222	331	5	forecast	forecast	NOUN
hjic-222	331	6	has	have	VERB
hjic-222	331	7	a	a	DET
hjic-222	331	8	safety	safety	NOUN
hjic-222	331	9	aspect	aspect	NOUN
hjic-222	331	10	,	,	PUNCT
hjic-222	331	11	since	since	SCONJ
hjic-222	331	12	it	it	PRON
hjic-222	331	13	is	be	AUX
hjic-222	331	14	important	important	ADJ
hjic-222	331	15	for	for	ADP
hjic-222	331	16	avoiding	avoid	VERB
hjic-222	331	17	the	the	DET
hjic-222	331	18	damage	damage	NOUN
hjic-222	331	19	the	the	DET
hjic-222	331	20	constructional	constructional	ADJ
hjic-222	331	21	material	material	NOUN
hjic-222	331	22	or	or	CCONJ
hjic-222	331	23	in	in	ADP
hjic-222	331	24	the	the	DET
hjic-222	331	25	worst	bad	ADJ
hjic-222	331	26	case	case	NOUN
hjic-222	331	27	scenario	scenario	VERB
hjic-222	331	28	the	the	DET
hjic-222	331	29	explosion	explosion	NOUN
hjic-222	331	30	of	of	ADP
hjic-222	331	31	reactor	reactor	NOUN
hjic-222	331	32	.	.	PUNCT
hjic-222	332	1	on	on	ADP
hjic-222	332	2	the	the	DET
hjic-222	332	3	other	other	ADJ
hjic-222	332	4	hand	hand	NOUN
hjic-222	332	5	,	,	PUNCT
hjic-222	332	6	runaway	runaway	NOUN
hjic-222	332	7	has	have	VERB
hjic-222	332	8	a	a	DET
hjic-222	332	9	technology	technology	NOUN
hjic-222	332	10	aspect	aspect	NOUN
hjic-222	332	11	,	,	PUNCT
hjic-222	332	12	since	since	SCONJ
hjic-222	332	13	the	the	DET
hjic-222	332	14	forecast	forecast	NOUN
hjic-222	332	15	of	of	ADP
hjic-222	332	16	the	the	DET
hjic-222	332	17	runaway	runaway	NOUN
hjic-222	332	18	can	can	AUX
hjic-222	332	19	be	be	AUX
hjic-222	332	20	used	use	VERB
hjic-222	332	21	for	for	ADP
hjic-222	332	22	avoiding	avoid	VERB
hjic-222	332	23	the	the	DET
hjic-222	332	24	development	development	NOUN
hjic-222	332	25	of	of	ADP
hjic-222	332	26	hot	hot	ADJ
hjic-222	332	27	spots	spot	NOUN
hjic-222	332	28	in	in	ADP
hjic-222	332	29	catalytic	catalytic	ADJ
hjic-222	332	30	bed	bed	NOUN
hjic-222	332	31	.	.	PUNCT
hjic-222	333	1	the	the	DET
hjic-222	333	2	selection	selection	NOUN
hjic-222	333	3	of	of	ADP
hjic-222	333	4	operation	operation	NOUN
hjic-222	333	5	conditions	condition	NOUN
hjic-222	333	6	is	be	AUX
hjic-222	333	7	important	important	ADJ
hjic-222	333	8	to	to	PART
hjic-222	333	9	avoid	avoid	VERB
hjic-222	333	10	the	the	DET
hjic-222	333	11	development	development	NOUN
hjic-222	333	12	of	of	ADP
hjic-222	333	13	reactor	reactor	NOUN
hjic-222	333	14	runaway	runaway	NOUN
hjic-222	333	15	and	and	CCONJ
hjic-222	333	16	to	to	PART
hjic-222	333	17	increase	increase	VERB
hjic-222	333	18	the	the	DET
hjic-222	333	19	lifetime	lifetime	NOUN
hjic-222	333	20	of	of	ADP
hjic-222	333	21	catalyst	catalyst	NOUN
hjic-222	333	22	at	at	ADP
hjic-222	333	23	same	same	ADJ
hjic-222	333	24	time	time	NOUN
hjic-222	333	25	.	.	PUNCT
hjic-222	334	1	the	the	PRON
hjic-222	334	2	worked	work	VERB
hjic-222	334	3	out	out	ADP
hjic-222	334	4	mathematical	mathematical	ADJ
hjic-222	334	5	model	model	NOUN
hjic-222	334	6	of	of	ADP
hjic-222	334	7	the	the	DET
hjic-222	334	8	studied	study	VERB
hjic-222	334	9	reactor	reactor	NOUN
hjic-222	334	10	has	have	AUX
hjic-222	334	11	been	be	AUX
hjic-222	334	12	presented	present	VERB
hjic-222	334	13	in	in	ADP
hjic-222	334	14	[	[	X
hjic-222	334	15	5	5	NUM
hjic-222	334	16	]	]	PUNCT
hjic-222	334	17	.	.	PUNCT
hjic-222	335	1	the	the	DET
hjic-222	335	2	model	model	NOUN
hjic-222	335	3	has	have	AUX
hjic-222	335	4	been	be	AUX
hjic-222	335	5	implemented	implement	VERB
hjic-222	335	6	in	in	ADP
hjic-222	335	7	matlab	matlab	PROPN
hjic-222	335	8	and	and	CCONJ
hjic-222	335	9	solved	solve	VERB
hjic-222	335	10	with	with	ADP
hjic-222	335	11	a	a	DET
hjic-222	335	12	low	low	ADJ
hjic-222	335	13	order	order	NOUN
hjic-222	335	14	runge	runge	NOUN
hjic-222	335	15	-	-	PUNCT
hjic-222	335	16	kutta	kutta	NOUN
hjic-222	335	17	method	method	NOUN
hjic-222	335	18	.	.	PUNCT
hjic-222	336	1	0	0	NUM
hjic-222	336	2	1	1	NUM
hjic-222	336	3	2	2	NUM
hjic-222	336	4	3	3	NUM
hjic-222	336	5	4	4	NUM
hjic-222	336	6	250	250	NUM
hjic-222	336	7	300	300	NUM
hjic-222	336	8	350	350	NUM
hjic-222	336	9	400	400	NUM
hjic-222	336	10	reactor	reactor	NOUN
hjic-222	336	11	length	length	NOUN
hjic-222	336	12	[	[	X
hjic-222	336	13	m	m	X
hjic-222	336	14	]	]	X
hjic-222	336	15	t	t	VERB
hjic-222	336	16	em	em	PRON
hjic-222	337	1	pe	pe	INTJ
hjic-222	337	2	ra	ra	PROPN
hjic-222	337	3	tu	tu	X
hjic-222	337	4	re	re	X
hjic-222	337	5	[	[	X
hjic-222	337	6	k	k	X
hjic-222	337	7	]	]	X
hjic-222	337	8	0	0	NUM
hjic-222	337	9	1	1	NUM
hjic-222	337	10	2	2	NUM
hjic-222	337	11	3	3	NUM
hjic-222	337	12	4	4	NUM
hjic-222	337	13	200	200	NUM
hjic-222	337	14	400	400	NUM
hjic-222	337	15	600	600	NUM
hjic-222	337	16	800	800	NUM
hjic-222	337	17	reactor	reactor	NOUN
hjic-222	337	18	length	length	NOUN
hjic-222	338	1	[	[	X
hjic-222	338	2	m	m	X
hjic-222	338	3	]	]	X
hjic-222	338	4	t	t	VERB
hjic-222	338	5	em	em	PRON
hjic-222	338	6	pe	pe	INTJ
hjic-222	338	7	ra	ra	PROPN
hjic-222	338	8	tu	tu	X
hjic-222	338	9	re	re	X
hjic-222	338	10	[	[	X
hjic-222	338	11	k	k	X
hjic-222	338	12	]	]	X
hjic-222	338	13	figure	figure	NOUN
hjic-222	338	14	6	6	NUM
hjic-222	338	15	:	:	PUNCT
hjic-222	338	16	normal	normal	ADJ
hjic-222	338	17	(	(	PUNCT
hjic-222	338	18	upper	upper	ADJ
hjic-222	338	19	graph	graph	NOUN
hjic-222	338	20	)	)	PUNCT
hjic-222	338	21	and	and	CCONJ
hjic-222	338	22	runaway	runaway	ADJ
hjic-222	338	23	(	(	PUNCT
hjic-222	338	24	lower	low	ADJ
hjic-222	338	25	graph	graph	NOUN
hjic-222	338	26	)	)	PUNCT
hjic-222	338	27	profiles	profile	NOUN
hjic-222	338	28	of	of	ADP
hjic-222	338	29	the	the	DET
hjic-222	338	30	studied	studied	ADJ
hjic-222	338	31	reactor	reactor	NOUN
hjic-222	338	32	the	the	DET
hjic-222	338	33	obtained	obtain	VERB
hjic-222	338	34	simulator	simulator	NOUN
hjic-222	338	35	was	be	AUX
hjic-222	338	36	applied	apply	VERB
hjic-222	338	37	to	to	PART
hjic-222	338	38	calculate	calculate	VERB
hjic-222	338	39	two	two	NUM
hjic-222	338	40	kinds	kind	NOUN
hjic-222	338	41	of	of	ADP
hjic-222	338	42	profiles	profile	NOUN
hjic-222	338	43	.	.	PUNCT
hjic-222	339	1	the	the	DET
hjic-222	339	2	inlet	inlet	ADJ
hjic-222	339	3	conditions	condition	NOUN
hjic-222	339	4	were	be	AUX
hjic-222	339	5	set	set	VERB
hjic-222	339	6	to	to	PART
hjic-222	339	7	provide	provide	VERB
hjic-222	339	8	five	five	NUM
hjic-222	339	9	profiles	profile	NOUN
hjic-222	339	10	which	which	PRON
hjic-222	339	11	correspond	correspond	VERB
hjic-222	339	12	to	to	ADP
hjic-222	339	13	the	the	DET
hjic-222	339	14	normal	normal	ADJ
hjic-222	339	15	working	working	NOUN
hjic-222	339	16	conditions	condition	NOUN
hjic-222	339	17	and	and	CCONJ
hjic-222	339	18	other	other	ADJ
hjic-222	339	19	five	five	NUM
hjic-222	339	20	profiles	profile	NOUN
hjic-222	339	21	which	which	PRON
hjic-222	339	22	describe	describe	VERB
hjic-222	339	23	the	the	DET
hjic-222	339	24	development	development	NOUN
hjic-222	339	25	of	of	ADP
hjic-222	339	26	reactor	reactor	NOUN
hjic-222	339	27	runaway	runaway	NOUN
hjic-222	339	28	.	.	PUNCT
hjic-222	340	1	the	the	DET
hjic-222	340	2	presented	present	VERB
hjic-222	340	3	similarity	similarity	NOUN
hjic-222	340	4	measure	measure	NOUN
hjic-222	340	5	has	have	AUX
hjic-222	340	6	been	be	AUX
hjic-222	340	7	used	use	VERB
hjic-222	340	8	to	to	PART
hjic-222	340	9	classify	classify	VERB
hjic-222	340	10	these	these	DET
hjic-222	340	11	profiles	profile	NOUN
hjic-222	340	12	.	.	PUNCT
hjic-222	341	1	the	the	DET
hjic-222	341	2	result	result	NOUN
hjic-222	341	3	of	of	ADP
hjic-222	341	4	clustering	clustering	NOUN
hjic-222	341	5	can	can	AUX
hjic-222	341	6	be	be	AUX
hjic-222	341	7	seen	see	VERB
hjic-222	341	8	in	in	ADP
hjic-222	341	9	the	the	DET
hjic-222	341	10	dendogram	dendogram	NOUN
hjic-222	341	11	of	of	ADP
hjic-222	341	12	fig	fig	NOUN
hjic-222	341	13	.	.	PUNCT
hjic-222	342	1	7	7	NUM
hjic-222	342	2	.	.	SYM
hjic-222	342	3	1	1	NUM
hjic-222	342	4	3	3	NUM
hjic-222	342	5	5	5	NUM
hjic-222	342	6	2	2	NUM
hjic-222	342	7	4	4	NUM
hjic-222	342	8	6	6	NUM
hjic-222	342	9	7	7	NUM
hjic-222	342	10	10	10	NUM
hjic-222	342	11	9	9	NUM
hjic-222	342	12	8	8	NUM
hjic-222	342	13	d	d	NOUN
hjic-222	342	14	is	be	AUX
hjic-222	342	15	ta	ta	ADP
hjic-222	342	16	nc	nc	PROPN
hjic-222	342	17	e	e	PROPN
hjic-222	342	18	normal	normal	ADJ
hjic-222	342	19	runaway	runaway	ADJ
hjic-222	342	20	figure	figure	NOUN
hjic-222	342	21	7	7	NUM
hjic-222	342	22	:	:	PUNCT
hjic-222	342	23	clustering	clustering	ADJ
hjic-222	342	24	result	result	NOUN
hjic-222	342	25	of	of	ADP
hjic-222	342	26	the	the	DET
hjic-222	342	27	five	five	NUM
hjic-222	342	28	normal	normal	ADJ
hjic-222	342	29	(	(	PUNCT
hjic-222	342	30	number	number	NOUN
hjic-222	342	31	1	1	NUM
hjic-222	342	32	-	-	SYM
hjic-222	342	33	5	5	NUM
hjic-222	342	34	)	)	PUNCT
hjic-222	342	35	and	and	CCONJ
hjic-222	342	36	five	five	NUM
hjic-222	342	37	runaway	runaway	NOUN
hjic-222	342	38	(	(	PUNCT
hjic-222	342	39	number	number	NOUN
hjic-222	342	40	6	6	NUM
hjic-222	342	41	-	-	SYM
hjic-222	342	42	10	10	NUM
hjic-222	342	43	)	)	PUNCT
hjic-222	342	44	profiles	profile	NOUN
hjic-222	342	45	conclusion	conclusion	NOUN
hjic-222	342	46	we	we	PRON
hjic-222	342	47	presented	present	VERB
hjic-222	342	48	a	a	DET
hjic-222	342	49	new	new	ADJ
hjic-222	342	50	similarity	similarity	NOUN
hjic-222	342	51	measure	measure	NOUN
hjic-222	342	52	for	for	ADP
hjic-222	342	53	segmented	segment	VERB
hjic-222	342	54	univariate	univariate	ADJ
hjic-222	342	55	time	time	NOUN
hjic-222	342	56	series	series	NOUN
hjic-222	342	57	by	by	ADP
hjic-222	342	58	considering	consider	VERB
hjic-222	342	59	the	the	DET
hjic-222	342	60	pla	pla	NOUN
hjic-222	342	61	representation	representation	NOUN
hjic-222	342	62	of	of	ADP
hjic-222	342	63	a	a	DET
hjic-222	342	64	segment	segment	NOUN
hjic-222	342	65	as	as	ADP
hjic-222	342	66	the	the	DET
hjic-222	342	67	latent	latent	NOUN
hjic-222	342	68	variable	variable	NOUN
hjic-222	342	69	.	.	PUNCT
hjic-222	343	1	the	the	DET
hjic-222	343	2	proposed	propose	VERB
hjic-222	343	3	similarity	similarity	NOUN
hjic-222	343	4	was	be	AUX
hjic-222	343	5	validated	validate	VERB
hjic-222	343	6	on	on	ADP
hjic-222	343	7	many	many	ADJ
hjic-222	343	8	real	real	ADJ
hjic-222	343	9	world	world	NOUN
hjic-222	343	10	dataset	dataset	NOUN
hjic-222	343	11	used	use	VERB
hjic-222	343	12	by	by	ADP
hjic-222	343	13	data	datum	NOUN
hjic-222	343	14	mining	mining	NOUN
hjic-222	343	15	community	community	NOUN
hjic-222	343	16	and	and	CCONJ
hjic-222	343	17	on	on	ADP
hjic-222	343	18	the	the	DET
hjic-222	343	19	temperature	temperature	NOUN
hjic-222	343	20	profiles	profile	NOUN
hjic-222	343	21	generated	generate	VERB
hjic-222	343	22	by	by	ADP
hjic-222	343	23	a	a	DET
hjic-222	343	24	sophisticated	sophisticated	ADJ
hjic-222	343	25	model	model	NOUN
hjic-222	343	26	of	of	ADP
hjic-222	343	27	an	an	DET
hjic-222	343	28	industrial	industrial	ADJ
hjic-222	343	29	reactor	reactor	NOUN
hjic-222	343	30	.	.	PUNCT
hjic-222	344	1	both	both	DET
hjic-222	344	2	evaluations	evaluation	NOUN
hjic-222	344	3	show	show	VERB
hjic-222	344	4	that	that	SCONJ
hjic-222	344	5	it	it	PRON
hjic-222	344	6	is	be	AUX
hjic-222	344	7	worth	worth	ADJ
hjic-222	344	8	to	to	PART
hjic-222	344	9	consider	consider	VERB
hjic-222	344	10	representing	represent	VERB
hjic-222	344	11	the	the	DET
hjic-222	344	12	segments	segment	NOUN
hjic-222	344	13	by	by	ADP
hjic-222	344	14	their	their	PRON
hjic-222	344	15	slopes	slope	NOUN
hjic-222	344	16	instead	instead	ADV
hjic-222	344	17	of	of	ADP
hjic-222	344	18	their	their	PRON
hjic-222	344	19	means	mean	NOUN
hjic-222	344	20	and	and	CCONJ
hjic-222	344	21	using	use	VERB
hjic-222	344	22	this	this	DET
hjic-222	344	23	feature	feature	NOUN
hjic-222	344	24	for	for	ADP
hjic-222	344	25	the	the	DET
hjic-222	344	26	comparison	comparison	NOUN
hjic-222	344	27	.	.	PUNCT
hjic-222	345	1	however	however	ADV
hjic-222	345	2	,	,	PUNCT
hjic-222	345	3	there	there	PRON
hjic-222	345	4	is	be	VERB
hjic-222	345	5	no	no	DET
hjic-222	345	6	decided	decide	VERB
hjic-222	345	7	difference	difference	NOUN
hjic-222	345	8	between	between	ADP
hjic-222	345	9	the	the	DET
hjic-222	345	10	two	two	NUM
hjic-222	345	11	methods	method	NOUN
hjic-222	345	12	,	,	PUNCT
hjic-222	345	13	thus	thus	ADV
hjic-222	345	14	we	we	PRON
hjic-222	345	15	intend	intend	VERB
hjic-222	345	16	to	to	PART
hjic-222	345	17	combine	combine	VERB
hjic-222	345	18	these	these	DET
hjic-222	345	19	approaches	approach	NOUN
hjic-222	345	20	in	in	ADP
hjic-222	345	21	the	the	DET
hjic-222	345	22	future	future	NOUN
hjic-222	345	23	.	.	PUNCT
hjic-222	346	1	acknowledgement	acknowledgement	PROPN
hjic-222	346	2	jános	jános	PROPN
hjic-222	346	3	abonyi	abonyi	PROPN
hjic-222	346	4	is	be	AUX
hjic-222	346	5	grateful	grateful	ADJ
hjic-222	346	6	for	for	ADP
hjic-222	346	7	the	the	DET
hjic-222	346	8	support	support	NOUN
hjic-222	346	9	of	of	ADP
hjic-222	346	10	the	the	DET
hjic-222	346	11	bolyai	bolyai	NOUN
hjic-222	346	12	research	research	NOUN
hjic-222	346	13	fellowship	fellowship	NOUN
hjic-222	346	14	of	of	ADP
hjic-222	346	15	the	the	DET
hjic-222	346	16	hungarian	hungarian	ADJ
hjic-222	346	17	academy	academy	PROPN
hjic-222	346	18	of	of	ADP
hjic-222	346	19	sciences	sciences	PROPN
hjic-222	346	20	.	.	PUNCT
hjic-222	347	1	the	the	DET
hjic-222	347	2	financial	financial	ADJ
hjic-222	347	3	support	support	NOUN
hjic-222	347	4	of	of	ADP
hjic-222	347	5	the	the	DET
hjic-222	347	6	támop-4.2.208/1/2008	támop-4.2.208/1/2008	NOUN
hjic-222	347	7	-	-	PUNCT
hjic-222	347	8	0018	0018	NUM
hjic-222	347	9	project	project	NOUN
hjic-222	347	10	is	be	AUX
hjic-222	347	11	gratefully	gratefully	ADV
hjic-222	347	12	acknowledged	acknowledge	VERB
hjic-222	347	13	.	.	PUNCT
hjic-222	348	1	references	reference	NOUN
hjic-222	348	2	1	1	NUM
hjic-222	348	3	.	.	PUNCT
hjic-222	348	4	kourti	kourti	PROPN
hjic-222	348	5	t.	t.	PROPN
hjic-222	348	6	:	:	PUNCT
hjic-222	348	7	application	application	NOUN
hjic-222	348	8	of	of	ADP
hjic-222	348	9	latent	latent	ADJ
hjic-222	348	10	variable	variable	ADJ
hjic-222	348	11	methods	method	NOUN
hjic-222	348	12	to	to	PART
hjic-222	348	13	process	process	VERB
hjic-222	348	14	control	control	NOUN
hjic-222	348	15	and	and	CCONJ
hjic-222	348	16	multivariate	multivariate	VERB
hjic-222	348	17	statistical	statistical	ADJ
hjic-222	348	18	process	process	NOUN
hjic-222	348	19	control	control	NOUN
hjic-222	348	20	in	in	ADP
hjic-222	348	21	industry	industry	NOUN
hjic-222	348	22	,	,	PUNCT
hjic-222	348	23	international	international	ADJ
hjic-222	348	24	journal	journal	NOUN
hjic-222	348	25	of	of	ADP
hjic-222	348	26	adaptive	adaptive	ADJ
hjic-222	348	27	control	control	NOUN
hjic-222	348	28	and	and	CCONJ
hjic-222	348	29	signal	signal	NOUN
hjic-222	348	30	processing	process	VERB
hjic-222	348	31	19	19	NUM
hjic-222	348	32	(	(	PUNCT
hjic-222	348	33	2005	2005	NUM
hjic-222	348	34	)	)	PUNCT
hjic-222	348	35	,	,	PUNCT
hjic-222	348	36	213	213	NUM
hjic-222	348	37	-	-	SYM
hjic-222	348	38	246	246	NUM
hjic-222	348	39	2	2	NUM
hjic-222	348	40	.	.	PUNCT
hjic-222	349	1	krzanowski	krzanowski	PROPN
hjic-222	349	2	w.	w.	PROPN
hjic-222	349	3	:	:	PUNCT
hjic-222	349	4	between	between	ADP
hjic-222	349	5	-	-	PUNCT
hjic-222	349	6	groups	group	NOUN
hjic-222	349	7	comparison	comparison	NOUN
hjic-222	349	8	of	of	ADP
hjic-222	349	9	principal	principal	ADJ
hjic-222	349	10	components	component	NOUN
hjic-222	349	11	,	,	PUNCT
hjic-222	349	12	journal	journal	NOUN
hjic-222	349	13	of	of	ADP
hjic-222	349	14	the	the	DET
hjic-222	349	15	american	american	ADJ
hjic-222	349	16	statistical	statistical	ADJ
hjic-222	349	17	society	society	NOUN
hjic-222	349	18	74	74	NUM
hjic-222	349	19	(	(	PUNCT
hjic-222	349	20	1979	1979	NUM
hjic-222	349	21	)	)	PUNCT
hjic-222	349	22	,	,	PUNCT
hjic-222	349	23	703	703	NUM
hjic-222	349	24	-	-	SYM
hjic-222	349	25	707	707	NUM
hjic-222	349	26	3	3	NUM
hjic-222	349	27	.	.	PUNCT
hjic-222	349	28	johannesmeyer	johannesmeyer	PROPN
hjic-222	349	29	m.	m.	PROPN
hjic-222	349	30	c.	c.	PROPN
hjic-222	349	31	:	:	PUNCT
hjic-222	349	32	abnormal	abnormal	ADJ
hjic-222	349	33	situation	situation	NOUN
hjic-222	349	34	analysis	analysis	NOUN
hjic-222	349	35	using	use	VERB
hjic-222	349	36	pattern	pattern	NOUN
hjic-222	349	37	recognition	recognition	NOUN
hjic-222	349	38	techniques	technique	NOUN
hjic-222	349	39	and	and	CCONJ
hjic-222	349	40	historical	historical	ADJ
hjic-222	349	41	data	datum	NOUN
hjic-222	349	42	,	,	PUNCT
hjic-222	349	43	m.sc	m.sc	PROPN
hjic-222	349	44	.	.	PUNCT
hjic-222	350	1	thesis	thesis	NOUN
hjic-222	350	2	,	,	PUNCT
hjic-222	350	3	university	university	PROPN
hjic-222	350	4	of	of	ADP
hjic-222	350	5	california	california	PROPN
hjic-222	350	6	,	,	PUNCT
hjic-222	350	7	santa	santa	PROPN
hjic-222	350	8	barbara	barbara	PROPN
hjic-222	350	9	,	,	PUNCT
hjic-222	350	10	ca	can	AUX
hjic-222	350	11	(	(	PUNCT
hjic-222	350	12	1999	1999	NUM
hjic-222	350	13	)	)	PUNCT
hjic-222	350	14	67	67	NUM
hjic-222	350	15	4	4	NUM
hjic-222	350	16	.	.	PUNCT
hjic-222	350	17	yang	yang	PROPN
hjic-222	350	18	k.	k.	PROPN
hjic-222	350	19	,	,	PUNCT
hjic-222	350	20	shahabi	shahabi	VERB
hjic-222	350	21	c.	c.	PROPN
hjic-222	350	22	:	:	PUNCT
hjic-222	350	23	a	a	DET
hjic-222	350	24	pca	pca	NOUN
hjic-222	350	25	-	-	PUNCT
hjic-222	350	26	based	base	VERB
hjic-222	350	27	similarity	similarity	NOUN
hjic-222	350	28	measure	measure	NOUN
hjic-222	350	29	for	for	ADP
hjic-222	350	30	multivariate	multivariate	NOUN
hjic-222	350	31	time	time	NOUN
hjic-222	350	32	series	series	NOUN
hjic-222	350	33	,	,	PUNCT
hjic-222	350	34	proceedings	proceeding	NOUN
hjic-222	350	35	of	of	ADP
hjic-222	350	36	the	the	DET
hjic-222	350	37	2nd	2nd	PROPN
hjic-222	350	38	acm	acm	PROPN
hjic-222	350	39	international	international	ADJ
hjic-222	350	40	workshop	workshop	NOUN
hjic-222	350	41	on	on	ADP
hjic-222	350	42	multimedia	multimedia	NOUN
hjic-222	350	43	databases	database	NOUN
hjic-222	350	44	(	(	PUNCT
hjic-222	350	45	2004	2004	NUM
hjic-222	350	46	)	)	PUNCT
hjic-222	350	47	,	,	PUNCT
hjic-222	350	48	65	65	NUM
hjic-222	350	49	-	-	SYM
hjic-222	350	50	74	74	NUM
hjic-222	350	51	5	5	NUM
hjic-222	350	52	.	.	PUNCT
hjic-222	351	1	kivikunnas	kivikunnas	PROPN
hjic-222	351	2	s.	s.	PROPN
hjic-222	351	3	:	:	PUNCT
hjic-222	351	4	overview	overview	NOUN
hjic-222	351	5	of	of	ADP
hjic-222	351	6	process	process	NOUN
hjic-222	351	7	trend	trend	NOUN
hjic-222	351	8	analysis	analysis	NOUN
hjic-222	351	9	methods	method	NOUN
hjic-222	351	10	and	and	CCONJ
hjic-222	351	11	applications	application	NOUN
hjic-222	351	12	,	,	PUNCT
hjic-222	351	13	erudit	erudit	NOUN
hjic-222	351	14	workshop	workshop	NOUN
hjic-222	351	15	on	on	ADP
hjic-222	351	16	applications	application	NOUN
hjic-222	351	17	in	in	ADP
hjic-222	351	18	pulp	pulp	NOUN
hjic-222	351	19	and	and	CCONJ
hjic-222	351	20	paper	paper	NOUN
hjic-222	351	21	industry	industry	NOUN
hjic-222	351	22	(	(	PUNCT
hjic-222	351	23	1998	1998	NUM
hjic-222	351	24	)	)	PUNCT
hjic-222	351	25	,	,	PUNCT
hjic-222	351	26	erudit	erudit	NOUN
hjic-222	351	27	6	6	NUM
hjic-222	351	28	.	.	PUNCT
hjic-222	351	29	sakoe	sakoe	PROPN
hjic-222	351	30	h.	h.	PROPN
hjic-222	351	31	,	,	PUNCT
hjic-222	351	32	chiba	chiba	PROPN
hjic-222	351	33	s.	s.	PROPN
hjic-222	351	34	:	:	PUNCT
hjic-222	351	35	dynamic	dynamic	ADJ
hjic-222	351	36	programming	programming	NOUN
hjic-222	351	37	algorithm	algorithm	NOUN
hjic-222	351	38	optimization	optimization	NOUN
hjic-222	351	39	for	for	ADP
hjic-222	351	40	spoken	speak	VERB
hjic-222	351	41	word	word	NOUN
hjic-222	351	42	recognition	recognition	NOUN
hjic-222	351	43	,	,	PUNCT
hjic-222	351	44	ieee	ieee	NOUN
hjic-222	351	45	transactions	transaction	NOUN
hjic-222	351	46	on	on	ADP
hjic-222	351	47	acoustics	acoustic	NOUN
hjic-222	351	48	,	,	PUNCT
hjic-222	351	49	speech	speech	NOUN
hjic-222	351	50	,	,	PUNCT
hjic-222	351	51	and	and	CCONJ
hjic-222	351	52	signal	signal	NOUN
hjic-222	351	53	processing	processing	NOUN
hjic-222	351	54	(	(	PUNCT
hjic-222	351	55	1978	1978	NUM
hjic-222	351	56	)	)	PUNCT
hjic-222	351	57	7	7	NUM
hjic-222	351	58	.	.	PUNCT
hjic-222	352	1	vajna	vajna	PROPN
hjic-222	352	2	z.	z.	PROPN
hjic-222	352	3	m.	m.	PROPN
hjic-222	352	4	k.	k.	PROPN
hjic-222	352	5	:	:	PUNCT
hjic-222	352	6	a	a	DET
hjic-222	352	7	fingerprint	fingerprint	NOUN
hjic-222	352	8	verification	verification	NOUN
hjic-222	352	9	system	system	NOUN
hjic-222	352	10	based	base	VERB
hjic-222	352	11	on	on	ADP
hjic-222	352	12	triangular	triangular	NOUN
hjic-222	352	13	matching	matching	NOUN
hjic-222	352	14	and	and	CCONJ
hjic-222	352	15	dynamic	dynamic	ADJ
hjic-222	352	16	time	time	NOUN
hjic-222	352	17	warping	warping	NOUN
hjic-222	352	18	,	,	PUNCT
hjic-222	352	19	ieee	ieee	NOUN
hjic-222	352	20	trans	tran	NOUN
hjic-222	352	21	.	.	PUNCT
hjic-222	353	1	pattern	pattern	PROPN
hjic-222	353	2	anal	anal	PROPN
hjic-222	353	3	.	.	PUNCT
hjic-222	354	1	mach	mach	PROPN
hjic-222	354	2	.	.	PUNCT
hjic-222	355	1	intell	intell	PROPN
hjic-222	355	2	.	.	PUNCT
hjic-222	356	1	22	22	NUM
hjic-222	356	2	(	(	PUNCT
hjic-222	356	3	2000	2000	NUM
hjic-222	356	4	)	)	PUNCT
hjic-222	356	5	,	,	PUNCT
hjic-222	356	6	1266	1266	NUM
hjic-222	356	7	-	-	SYM
hjic-222	356	8	1276	1276	NUM
hjic-222	356	9	8	8	NUM
hjic-222	356	10	.	.	PUNCT
hjic-222	357	1	kholmatov	kholmatov	PROPN
hjic-222	357	2	a.	a.	PROPN
hjic-222	357	3	,	,	PUNCT
hjic-222	357	4	yanikoglu	yanikoglu	PROPN
hjic-222	357	5	b.	b.	PROPN
hjic-222	357	6	a.	a.	PROPN
hjic-222	357	7	:	:	PUNCT
hjic-222	357	8	biometric	biometric	ADJ
hjic-222	357	9	authentication	authentication	NOUN
hjic-222	357	10	using	use	VERB
hjic-222	357	11	online	online	ADJ
hjic-222	357	12	signatures	signature	NOUN
hjic-222	357	13	,	,	PUNCT
hjic-222	357	14	iscis	iscis	PROPN
hjic-222	357	15	(	(	PUNCT
hjic-222	357	16	2004	2004	NUM
hjic-222	357	17	)	)	PUNCT
hjic-222	357	18	9	9	NUM
hjic-222	357	19	.	.	PUNCT
hjic-222	357	20	keogh	keogh	PROPN
hjic-222	357	21	e.	e.	PROPN
hjic-222	357	22	j.	j.	PROPN
hjic-222	357	23	,	,	PUNCT
hjic-222	357	24	pazzani	pazzani	PROPN
hjic-222	357	25	m.	m.	NOUN
hjic-222	357	26	j.	j.	PROPN
hjic-222	357	27	:	:	PUNCT
hjic-222	357	28	scaling	scale	VERB
hjic-222	357	29	up	up	ADP
hjic-222	357	30	dynamic	dynamic	ADJ
hjic-222	357	31	time	time	NOUN
hjic-222	357	32	warping	warp	VERB
hjic-222	357	33	for	for	ADP
hjic-222	357	34	datamining	datamine	VERB
hjic-222	357	35	applications	application	NOUN
hjic-222	357	36	,	,	PUNCT
hjic-222	357	37	knowledge	knowledge	NOUN
hjic-222	357	38	discovery	discovery	NOUN
hjic-222	357	39	and	and	CCONJ
hjic-222	357	40	data	datum	NOUN
hjic-222	357	41	mining	mining	NOUN
hjic-222	357	42	(	(	PUNCT
hjic-222	357	43	2000	2000	NUM
hjic-222	357	44	)	)	PUNCT
hjic-222	357	45	10	10	NUM
hjic-222	357	46	.	.	PUNCT
hjic-222	358	1	keogh	keogh	PROPN
hjic-222	358	2	e.	e.	PROPN
hjic-222	358	3	j.	j.	PROPN
hjic-222	358	4	,	,	PUNCT
hjic-222	358	5	pazzani	pazzani	PROPN
hjic-222	358	6	m.	m.	NOUN
hjic-222	358	7	:	:	PUNCT
hjic-222	358	8	scaling	scale	VERB
hjic-222	358	9	up	up	ADP
hjic-222	358	10	dynamic	dynamic	ADJ
hjic-222	358	11	time	time	NOUN
hjic-222	358	12	warping	warp	VERB
hjic-222	358	13	to	to	ADP
hjic-222	358	14	massive	massive	ADJ
hjic-222	358	15	datasets	dataset	NOUN
hjic-222	358	16	,	,	PUNCT
hjic-222	358	17	3rd	3rd	ADJ
hjic-222	358	18	european	european	ADJ
hjic-222	358	19	conference	conference	NOUN
hjic-222	358	20	on	on	ADP
hjic-222	358	21	principles	principle	NOUN
hjic-222	358	22	and	and	CCONJ
hjic-222	358	23	practice	practice	NOUN
hjic-222	358	24	of	of	ADP
hjic-222	358	25	knowledge	knowledge	NOUN
hjic-222	358	26	discovery	discovery	NOUN
hjic-222	358	27	in	in	ADP
hjic-222	358	28	databases	database	NOUN
hjic-222	358	29	(	(	PUNCT
hjic-222	358	30	1999	1999	NUM
hjic-222	358	31	)	)	PUNCT
hjic-222	358	32	vol	vol	NOUN
hjic-222	358	33	.	.	PROPN
hjic-222	358	34	1704	1704	NUM
hjic-222	358	35	11	11	NUM
hjic-222	358	36	.	.	PUNCT
hjic-222	359	1	abonyi	abonyi	PROPN
hjic-222	359	2	j.	j.	PROPN
hjic-222	359	3	,	,	PUNCT
hjic-222	359	4	feil	feil	PROPN
hjic-222	359	5	b.	b.	PROPN
hjic-222	359	6	,	,	PUNCT
hjic-222	359	7	németh	németh	PROPN
hjic-222	359	8	s.	s.	PROPN
hjic-222	359	9	,	,	PUNCT
hjic-222	359	10	árva	árva	PROPN
hjic-222	359	11	p.	p.	NOUN
hjic-222	359	12	:	:	PUNCT
hjic-222	359	13	principal	principal	ADJ
hjic-222	359	14	component	component	NOUN
hjic-222	359	15	analysis	analysis	NOUN
hjic-222	359	16	based	base	VERB
hjic-222	359	17	time	time	NOUN
hjic-222	359	18	series	series	PROPN
hjic-222	359	19	segmentation	segmentation	PROPN
hjic-222	359	20	,	,	PUNCT
hjic-222	359	21	ieee	ieee	PROPN
hjic-222	359	22	international	international	ADJ
hjic-222	359	23	conference	conference	NOUN
hjic-222	359	24	on	on	ADP
hjic-222	359	25	computational	computational	ADJ
hjic-222	359	26	cybernetics	cybernetic	NOUN
hjic-222	359	27	(	(	PUNCT
hjic-222	359	28	2005	2005	NUM
hjic-222	359	29	)	)	PUNCT
hjic-222	359	30	12	12	NUM
hjic-222	359	31	.	.	PUNCT
hjic-222	360	1	bankó	bankó	PROPN
hjic-222	360	2	z.	z.	PROPN
hjic-222	360	3	,	,	PUNCT
hjic-222	360	4	abonyi	abonyi	PROPN
hjic-222	360	5	j.	j.	PROPN
hjic-222	360	6	:	:	PUNCT
hjic-222	360	7	correlation	correlation	NOUN
hjic-222	360	8	based	base	VERB
hjic-222	360	9	dynamic	dynamic	ADJ
hjic-222	360	10	time	time	NOUN
hjic-222	360	11	warping	warp	VERB
hjic-222	360	12	of	of	ADP
hjic-222	360	13	multivariate	multivariate	NOUN
hjic-222	360	14	time	time	NOUN
hjic-222	360	15	series	series	NOUN
hjic-222	360	16	,	,	PUNCT
hjic-222	360	17	computational	computational	ADJ
hjic-222	360	18	statistics	statistic	NOUN
hjic-222	360	19	&	&	CCONJ
hjic-222	360	20	data	datum	NOUN
hjic-222	360	21	analysis	analysis	NOUN
hjic-222	360	22	(	(	PUNCT
hjic-222	360	23	in	in	ADP
hjic-222	360	24	press	press	NOUN
hjic-222	360	25	)	)	PUNCT
hjic-222	360	26	13	13	NUM
hjic-222	360	27	.	.	PUNCT
hjic-222	361	1	keogh	keogh	PROPN
hjic-222	361	2	e.	e.	PROPN
hjic-222	361	3	j.	j.	PROPN
hjic-222	361	4	,	,	PUNCT
hjic-222	361	5	chu	chu	PROPN
hjic-222	361	6	s.	s.	PROPN
hjic-222	361	7	,	,	PUNCT
hjic-222	361	8	hart	hart	PROPN
hjic-222	361	9	d.	d.	PROPN
hjic-222	361	10	,	,	PUNCT
hjic-222	361	11	pazzani	pazzani	PROPN
hjic-222	361	12	m.	m.	PROPN
hjic-222	361	13	j.	j.	PROPN
hjic-222	361	14	:	:	PUNCT
hjic-222	361	15	an	an	DET
hjic-222	361	16	online	online	ADJ
hjic-222	361	17	algorithm	algorithm	NOUN
hjic-222	361	18	for	for	ADP
hjic-222	361	19	segmenting	segment	VERB
hjic-222	361	20	time	time	NOUN
hjic-222	361	21	series	series	NOUN
hjic-222	361	22	,	,	PUNCT
hjic-222	361	23	icdm	icdm	NOUN
hjic-222	361	24	(	(	PUNCT
hjic-222	361	25	2001	2001	NUM
hjic-222	361	26	)	)	PUNCT
hjic-222	361	27	14	14	NUM
hjic-222	361	28	.	.	PUNCT
hjic-222	362	1	sakoe	sakoe	PROPN
hjic-222	362	2	h.	h.	PROPN
hjic-222	362	3	,	,	PUNCT
hjic-222	362	4	chiba	chiba	PROPN
hjic-222	362	5	s.	s.	PROPN
hjic-222	362	6	:	:	PUNCT
hjic-222	362	7	dynamic	dynamic	ADJ
hjic-222	362	8	programming	programming	NOUN
hjic-222	362	9	algorithm	algorithm	NOUN
hjic-222	362	10	optimization	optimization	NOUN
hjic-222	362	11	for	for	ADP
hjic-222	362	12	spoken	speak	VERB
hjic-222	362	13	word	word	NOUN
hjic-222	362	14	recognition	recognition	NOUN
hjic-222	362	15	,	,	PUNCT
hjic-222	362	16	ieee	ieee	NOUN
hjic-222	362	17	transactions	transaction	NOUN
hjic-222	362	18	on	on	ADP
hjic-222	362	19	acoustics	acoustic	NOUN
hjic-222	362	20	,	,	PUNCT
hjic-222	362	21	speech	speech	NOUN
hjic-222	362	22	,	,	PUNCT
hjic-222	362	23	and	and	CCONJ
hjic-222	362	24	signal	signal	NOUN
hjic-222	362	25	processing	processing	NOUN
hjic-222	362	26	(	(	PUNCT
hjic-222	362	27	1978	1978	NUM
hjic-222	362	28	)	)	PUNCT
hjic-222	362	29	15	15	NUM
hjic-222	362	30	.	.	PUNCT
hjic-222	363	1	vullings	vullings	PROPN
hjic-222	363	2	h.	h.	PROPN
hjic-222	363	3	j.	j.	PROPN
hjic-222	363	4	l.	l.	PROPN
hjic-222	363	5	m.	m.	PROPN
hjic-222	363	6	,	,	PUNCT
hjic-222	363	7	verhaegen	verhaegen	PROPN
hjic-222	363	8	m.	m.	PROPN
hjic-222	363	9	h.	h.	PROPN
hjic-222	363	10	g.	g.	PROPN
hjic-222	363	11	,	,	PUNCT
hjic-222	363	12	verbruggen	verbruggen	PROPN
hjic-222	363	13	h.	h.	PROPN
hjic-222	363	14	b.	b.	PROPN
hjic-222	363	15	:	:	PUNCT
hjic-222	364	1	ecg	ecg	PROPN
hjic-222	364	2	segmentation	segmentation	NOUN
hjic-222	364	3	using	use	VERB
hjic-222	364	4	time	time	NOUN
hjic-222	364	5	-	-	PUNCT
hjic-222	364	6	warping	warp	VERB
hjic-222	364	7	,	,	PUNCT
hjic-222	364	8	proceedings	proceeding	NOUN
hjic-222	364	9	of	of	ADP
hjic-222	364	10	the	the	DET
hjic-222	364	11	second	second	ADJ
hjic-222	364	12	international	international	ADJ
hjic-222	364	13	symposium	symposium	NOUN
hjic-222	364	14	on	on	ADP
hjic-222	364	15	advances	advance	NOUN
hjic-222	364	16	in	in	ADP
hjic-222	364	17	intelligent	intelligent	ADJ
hjic-222	364	18	data	datum	NOUN
hjic-222	364	19	analysis	analysis	NOUN
hjic-222	364	20	,	,	PUNCT
hjic-222	364	21	reasoning	reason	VERB
hjic-222	364	22	about	about	ADP
hjic-222	364	23	data	datum	NOUN
hjic-222	364	24	(	(	PUNCT
hjic-222	364	25	1997	1997	NUM
hjic-222	364	26	)	)	PUNCT
hjic-222	364	27	16	16	NUM
hjic-222	364	28	.	.	PUNCT
hjic-222	365	1	keogh	keogh	PROPN
hjic-222	365	2	e.	e.	PROPN
hjic-222	365	3	j.	j.	PROPN
hjic-222	365	4	,	,	PUNCT
hjic-222	365	5	kasetty	kasetty	PROPN
hjic-222	365	6	s.	s.	PROPN
hjic-222	365	7	:	:	PUNCT
hjic-222	365	8	on	on	ADP
hjic-222	365	9	the	the	DET
hjic-222	365	10	need	need	NOUN
hjic-222	365	11	for	for	ADP
hjic-222	365	12	time	time	NOUN
hjic-222	365	13	series	series	PROPN
hjic-222	365	14	data	data	PROPN
hjic-222	365	15	mining	mining	NOUN
hjic-222	365	16	benchmarks	benchmark	NOUN
hjic-222	365	17	:	:	PUNCT
hjic-222	365	18	a	a	DET
hjic-222	365	19	survey	survey	NOUN
hjic-222	365	20	and	and	CCONJ
hjic-222	365	21	empirical	empirical	ADJ
hjic-222	365	22	demonstration	demonstration	NOUN
hjic-222	365	23	,	,	PUNCT
hjic-222	365	24	proceedings	proceeding	NOUN
hjic-222	365	25	of	of	ADP
hjic-222	365	26	the	the	DET
hjic-222	365	27	8th	8th	PROPN
hjic-222	365	28	acm	acm	PROPN
hjic-222	365	29	sigkdd	sigkdd	NOUN
hjic-222	365	30	international	international	ADJ
hjic-222	365	31	conference	conference	NOUN
hjic-222	365	32	on	on	ADP
hjic-222	365	33	knowledge	knowledge	NOUN
hjic-222	365	34	discovery	discovery	PROPN
hjic-222	365	35	and	and	CCONJ
hjic-222	365	36	data	datum	NOUN
hjic-222	365	37	mining	mining	NOUN
hjic-222	365	38	(	(	PUNCT
hjic-222	365	39	2002	2002	NUM
hjic-222	365	40	)	)	PUNCT
hjic-222	365	41	17	17	NUM
hjic-222	365	42	.	.	PUNCT
hjic-222	366	1	keogh	keogh	PROPN
hjic-222	366	2	e.	e.	PROPN
hjic-222	366	3	j.	j.	PROPN
hjic-222	366	4	,	,	PUNCT
hjic-222	366	5	xi	xi	PROPN
hjic-222	366	6	x.	x.	PROPN
hjic-222	366	7	,	,	PUNCT
hjic-222	366	8	wei	wei	PROPN
hjic-222	366	9	l.	l.	PROPN
hjic-222	366	10	,	,	PUNCT
hjic-222	366	11	ratanamahatana	ratanamahatana	PROPN
hjic-222	366	12	c.	c.	PROPN
hjic-222	366	13	a.	a.	PROPN
hjic-222	366	14	:	:	PUNCT
hjic-222	366	15	the	the	DET
hjic-222	366	16	ucr	ucr	PROPN
hjic-222	366	17	time	time	NOUN
hjic-222	366	18	series	series	PROPN
hjic-222	366	19	classification	classification	NOUN
hjic-222	366	20	/	/	SYM
hjic-222	366	21	clustering	cluster	VERB
hjic-222	366	22	homepage	homepage	NOUN
hjic-222	366	23	,	,	PUNCT
hjic-222	366	24	http://www.cs.ucr.edu/~eamonn/time_series_data/	http://www.cs.ucr.edu/~eamonn/time_series_data/	PROPN
hjic-222	366	25	,	,	PUNCT
hjic-222	366	26	riverside	riverside	PROPN
hjic-222	366	27	ca	ca	PROPN
hjic-222	366	28	.	.	PUNCT
hjic-222	367	1	university	university	PROPN
hjic-222	367	2	of	of	ADP
hjic-222	367	3	california	california	PROPN
hjic-222	367	4	computer	computer	NOUN
hjic-222	367	5	science	science	NOUN
hjic-222	367	6	and	and	CCONJ
hjic-222	367	7	engineering	engineering	NOUN
hjic-222	367	8	department	department	NOUN
hjic-222	367	9	(	(	PUNCT
hjic-222	367	10	2006	2006	NUM
hjic-222	367	11	)	)	PUNCT
hjic-222	367	12	18	18	NUM
hjic-222	367	13	.	.	PUNCT
hjic-222	368	1	varga	varga	PROPN
hjic-222	368	2	t.	t.	PROPN
hjic-222	368	3	,	,	PUNCT
hjic-222	368	4	szeifert	szeifert	PROPN
hjic-222	368	5	f.	f.	PROPN
hjic-222	368	6	,	,	PUNCT
hjic-222	368	7	réti	réti	PROPN
hjic-222	368	8	j.	j.	PROPN
hjic-222	368	9	,	,	PUNCT
hjic-222	368	10	abonyi	abonyi	PROPN
hjic-222	368	11	j.	j.	PROPN
hjic-222	368	12	:	:	PUNCT
hjic-222	368	13	analysis	analysis	NOUN
hjic-222	368	14	of	of	ADP
hjic-222	368	15	the	the	DET
hjic-222	368	16	runaway	runaway	NOUN
hjic-222	368	17	in	in	ADP
hjic-222	368	18	an	an	DET
hjic-222	368	19	industrial	industrial	ADJ
hjic-222	368	20	heterocatalytic	heterocatalytic	ADJ
hjic-222	368	21	reactor	reactor	NOUN
hjic-222	368	22	,	,	PUNCT
hjic-222	368	23	computer	computer	NOUN
hjic-222	368	24	-	-	PUNCT
hjic-222	368	25	aided	aid	VERB
hjic-222	368	26	chemical	chemical	NOUN
hjic-222	368	27	engineering	engineering	NOUN
hjic-222	368	28	24	24	NUM
hjic-222	368	29	,	,	PUNCT
hjic-222	368	30	(	(	PUNCT
hjic-222	368	31	2007	2007	NUM
hjic-222	368	32	)	)	PUNCT
hjic-222	368	33	,	,	PUNCT
hjic-222	368	34	751	751	NUM
hjic-222	368	35	-	-	SYM
hjic-222	368	36	756	756	NUM