id	sid	tid	token	lemma	pos
fcis-26722	1	1	frontiers	frontier	NOUN
fcis-26722	1	2	in	in	ADP
fcis-26722	1	3	computing	computing	NOUN
fcis-26722	1	4	and	and	CCONJ
fcis-26722	1	5	intelligent	intelligent	ADJ
fcis-26722	1	6	systems	system	NOUN
fcis-26722	1	7	issn	issn	VERB
fcis-26722	1	8	:	:	PUNCT
fcis-26722	1	9	2832	2832	NUM
fcis-26722	1	10	-	-	SYM
fcis-26722	1	11	6024	6024	NUM
fcis-26722	1	12	|	|	NOUN
fcis-26722	1	13	vol	vol	NOUN
fcis-26722	1	14	.	.	PROPN
fcis-26722	2	1	10	10	NUM
fcis-26722	2	2	,	,	PUNCT
fcis-26722	2	3	no	no	INTJ
fcis-26722	2	4	.	.	NOUN
fcis-26722	2	5	1	1	NUM
fcis-26722	2	6	,	,	PUNCT
fcis-26722	2	7	2024	2024	NUM
fcis-26722	2	8	97	97	NUM
fcis-26722	2	9	research	research	NOUN
fcis-26722	2	10	on	on	ADP
fcis-26722	2	11	particle	particle	NOUN
fcis-26722	2	12	swarm	swarm	NOUN
fcis-26722	2	13	image	image	NOUN
fcis-26722	2	14	threshold	threshold	NOUN
fcis-26722	2	15	segmentation	segmentation	NOUN
fcis-26722	2	16	method	method	NOUN
fcis-26722	2	17	based	base	VERB
fcis-26722	2	18	on	on	ADP
fcis-26722	2	19	rough	rough	ADJ
fcis-26722	2	20	set	set	NOUN
fcis-26722	2	21	dongpo	dongpo	PROPN
fcis-26722	2	22	zhang	zhang	PROPN
fcis-26722	2	23	,	,	PUNCT
fcis-26722	2	24	zhiyong	zhiyong	NOUN
fcis-26722	2	25	she	she	PRON
fcis-26722	2	26	and	and	CCONJ
fcis-26722	2	27	jiaqi	jiaqi	PROPN
fcis-26722	2	28	zhang	zhang	PROPN
fcis-26722	3	1	school	school	PROPN
fcis-26722	3	2	of	of	ADP
fcis-26722	3	3	information	information	NOUN
fcis-26722	3	4	network	network	NOUN
fcis-26722	3	5	security	security	NOUN
fcis-26722	3	6	,	,	PUNCT
fcis-26722	3	7	xinjiang	xinjiang	PROPN
fcis-26722	3	8	university	university	PROPN
fcis-26722	3	9	of	of	ADP
fcis-26722	3	10	political	political	ADJ
fcis-26722	3	11	science	science	NOUN
fcis-26722	3	12	and	and	CCONJ
fcis-26722	3	13	law	law	NOUN
fcis-26722	3	14	,	,	PUNCT
fcis-26722	3	15	tumshuk	tumshuk	NOUN
fcis-26722	3	16	xinjiang	xinjiang	PROPN
fcis-26722	3	17	,	,	PUNCT
fcis-26722	3	18	844000	844000	NUM
fcis-26722	3	19	,	,	PUNCT
fcis-26722	3	20	china	china	PROPN
fcis-26722	3	21	abstract	abstract	NOUN
fcis-26722	3	22	:	:	PUNCT
fcis-26722	3	23	image	image	NOUN
fcis-26722	3	24	processing	processing	NOUN
fcis-26722	3	25	is	be	AUX
fcis-26722	3	26	an	an	DET
fcis-26722	3	27	important	important	ADJ
fcis-26722	3	28	way	way	NOUN
fcis-26722	3	29	to	to	PART
fcis-26722	3	30	obtain	obtain	VERB
fcis-26722	3	31	information	information	NOUN
fcis-26722	3	32	and	and	CCONJ
fcis-26722	3	33	is	be	AUX
fcis-26722	3	34	widely	widely	ADV
fcis-26722	3	35	used	use	VERB
fcis-26722	3	36	in	in	ADP
fcis-26722	3	37	important	important	ADJ
fcis-26722	3	38	fields	field	NOUN
fcis-26722	3	39	such	such	ADJ
fcis-26722	3	40	as	as	ADP
fcis-26722	3	41	military	military	ADJ
fcis-26722	3	42	,	,	PUNCT
fcis-26722	3	43	medical	medical	ADJ
fcis-26722	3	44	and	and	CCONJ
fcis-26722	3	45	transportation	transportation	NOUN
fcis-26722	3	46	.	.	PUNCT
fcis-26722	4	1	image	image	NOUN
fcis-26722	4	2	segmentation	segmentation	NOUN
fcis-26722	4	3	plays	play	VERB
fcis-26722	4	4	an	an	DET
fcis-26722	4	5	important	important	ADJ
fcis-26722	4	6	role	role	NOUN
fcis-26722	4	7	in	in	ADP
fcis-26722	4	8	image	image	NOUN
fcis-26722	4	9	processing	processing	NOUN
fcis-26722	4	10	.	.	PUNCT
fcis-26722	5	1	in	in	ADP
fcis-26722	5	2	view	view	NOUN
fcis-26722	5	3	of	of	ADP
fcis-26722	5	4	the	the	DET
fcis-26722	5	5	inherent	inherent	ADJ
fcis-26722	5	6	complexity	complexity	NOUN
fcis-26722	5	7	and	and	CCONJ
fcis-26722	5	8	correlation	correlation	NOUN
fcis-26722	5	9	of	of	ADP
fcis-26722	5	10	the	the	DET
fcis-26722	5	11	image	image	NOUN
fcis-26722	5	12	itself	itself	PRON
fcis-26722	5	13	,	,	PUNCT
fcis-26722	5	14	how	how	SCONJ
fcis-26722	5	15	to	to	PART
fcis-26722	5	16	deal	deal	VERB
fcis-26722	5	17	with	with	ADP
fcis-26722	5	18	the	the	DET
fcis-26722	5	19	uncertainty	uncertainty	NOUN
fcis-26722	5	20	in	in	ADP
fcis-26722	5	21	the	the	DET
fcis-26722	5	22	image	image	NOUN
fcis-26722	5	23	segmentation	segmentation	NOUN
fcis-26722	5	24	process	process	NOUN
fcis-26722	5	25	is	be	AUX
fcis-26722	5	26	the	the	DET
fcis-26722	5	27	main	main	ADJ
fcis-26722	5	28	work	work	NOUN
fcis-26722	5	29	to	to	PART
fcis-26722	5	30	obtain	obtain	VERB
fcis-26722	5	31	a	a	DET
fcis-26722	5	32	more	more	ADV
fcis-26722	5	33	accurate	accurate	ADJ
fcis-26722	5	34	image	image	NOUN
fcis-26722	5	35	segmentation	segmentation	NOUN
fcis-26722	5	36	result	result	NOUN
fcis-26722	5	37	.	.	PUNCT
fcis-26722	6	1	we	we	PRON
fcis-26722	6	2	propose	propose	VERB
fcis-26722	6	3	an	an	DET
fcis-26722	6	4	image	image	NOUN
fcis-26722	6	5	single	single	ADJ
fcis-26722	6	6	-	-	PUNCT
fcis-26722	6	7	threshold	threshold	NOUN
fcis-26722	6	8	segmentation	segmentation	NOUN
fcis-26722	6	9	algorithm	algorithm	NOUN
fcis-26722	6	10	using	use	VERB
fcis-26722	6	11	the	the	DET
fcis-26722	6	12	maximum	maximum	ADJ
fcis-26722	6	13	dependency	dependency	NOUN
fcis-26722	6	14	of	of	ADP
fcis-26722	6	15	variable	variable	ADJ
fcis-26722	6	16	precision	precision	NOUN
fcis-26722	6	17	rough	rough	ADJ
fcis-26722	6	18	set	set	NOUN
fcis-26722	6	19	(	(	PUNCT
fcis-26722	6	20	vprs	vprs	NOUN
fcis-26722	6	21	)	)	PUNCT
fcis-26722	6	22	.	.	PUNCT
fcis-26722	7	1	the	the	DET
fcis-26722	7	2	algorithm	algorithm	NOUN
fcis-26722	7	3	uses	use	VERB
fcis-26722	7	4	vprs	vprs	NOUN
fcis-26722	7	5	to	to	PART
fcis-26722	7	6	represent	represent	VERB
fcis-26722	7	7	the	the	DET
fcis-26722	7	8	image	image	NOUN
fcis-26722	7	9	,	,	PUNCT
fcis-26722	7	10	and	and	CCONJ
fcis-26722	7	11	uses	use	VERB
fcis-26722	7	12	the	the	DET
fcis-26722	7	13	maximum	maximum	ADJ
fcis-26722	7	14	dependency	dependency	NOUN
fcis-26722	7	15	and	and	CCONJ
fcis-26722	7	16	particle	particle	NOUN
fcis-26722	7	17	swarm	swarm	NOUN
fcis-26722	7	18	optimization	optimization	NOUN
fcis-26722	7	19	to	to	PART
fcis-26722	7	20	solve	solve	VERB
fcis-26722	7	21	the	the	DET
fcis-26722	7	22	optimal	optimal	ADJ
fcis-26722	7	23	image	image	NOUN
fcis-26722	7	24	segmentation	segmentation	NOUN
fcis-26722	7	25	threshold	threshold	NOUN
fcis-26722	7	26	,	,	PUNCT
fcis-26722	7	27	which	which	PRON
fcis-26722	7	28	effectively	effectively	ADV
fcis-26722	7	29	handles	handle	VERB
fcis-26722	7	30	the	the	DET
fcis-26722	7	31	uncertainty	uncertainty	NOUN
fcis-26722	7	32	in	in	ADP
fcis-26722	7	33	image	image	NOUN
fcis-26722	7	34	segmentation	segmentation	NOUN
fcis-26722	7	35	.	.	PUNCT
fcis-26722	8	1	the	the	DET
fcis-26722	8	2	experiments	experiment	NOUN
fcis-26722	8	3	show	show	VERB
fcis-26722	8	4	that	that	SCONJ
fcis-26722	8	5	the	the	DET
fcis-26722	8	6	single	single	ADJ
fcis-26722	8	7	-	-	PUNCT
fcis-26722	8	8	threshold	threshold	NOUN
fcis-26722	8	9	segmentation	segmentation	NOUN
fcis-26722	8	10	algorithm	algorithm	NOUN
fcis-26722	8	11	has	have	VERB
fcis-26722	8	12	certain	certain	ADJ
fcis-26722	8	13	practicability	practicability	NOUN
fcis-26722	8	14	and	and	CCONJ
fcis-26722	8	15	flexibility	flexibility	NOUN
fcis-26722	8	16	,	,	PUNCT
fcis-26722	8	17	the	the	DET
fcis-26722	8	18	segmentation	segmentation	NOUN
fcis-26722	8	19	effect	effect	NOUN
fcis-26722	8	20	is	be	AUX
fcis-26722	8	21	better	well	ADJ
fcis-26722	8	22	than	than	ADP
fcis-26722	8	23	the	the	DET
fcis-26722	8	24	maximum	maximum	ADJ
fcis-26722	8	25	average	average	ADJ
fcis-26722	8	26	information	information	NOUN
fcis-26722	8	27	entropy	entropy	NOUN
fcis-26722	8	28	method	method	NOUN
fcis-26722	8	29	,	,	PUNCT
fcis-26722	8	30	and	and	CCONJ
fcis-26722	8	31	the	the	DET
fcis-26722	8	32	segmentation	segmentation	NOUN
fcis-26722	8	33	efficiency	efficiency	NOUN
fcis-26722	8	34	is	be	AUX
fcis-26722	8	35	significantly	significantly	ADV
fcis-26722	8	36	higher	high	ADJ
fcis-26722	8	37	than	than	ADP
fcis-26722	8	38	the	the	DET
fcis-26722	8	39	ordinary	ordinary	ADJ
fcis-26722	8	40	iterative	iterative	NOUN
fcis-26722	8	41	method	method	NOUN
fcis-26722	8	42	.	.	PUNCT
fcis-26722	9	1	keywords	keyword	NOUN
fcis-26722	9	2	:	:	PUNCT
fcis-26722	9	3	variable	variable	ADJ
fcis-26722	9	4	precision	precision	NOUN
fcis-26722	9	5	rough	rough	ADJ
fcis-26722	9	6	set	set	NOUN
fcis-26722	9	7	;	;	PUNCT
fcis-26722	9	8	dependency	dependency	NOUN
fcis-26722	9	9	;	;	PUNCT
fcis-26722	9	10	particle	particle	NOUN
fcis-26722	9	11	swarm	swarm	NOUN
fcis-26722	9	12	optimization	optimization	NOUN
fcis-26722	9	13	;	;	PUNCT
fcis-26722	9	14	image	image	NOUN
fcis-26722	9	15	single	single	ADJ
fcis-26722	9	16	-	-	PUNCT
fcis-26722	9	17	threshold	threshold	NOUN
fcis-26722	9	18	segmentation	segmentation	NOUN
fcis-26722	9	19	.	.	PUNCT
fcis-26722	10	1	1	1	X
fcis-26722	10	2	.	.	X
fcis-26722	10	3	introduction	introduction	NOUN
fcis-26722	10	4	image	image	NOUN
fcis-26722	10	5	segmentation	segmentation	NOUN
fcis-26722	10	6	is	be	AUX
fcis-26722	10	7	a	a	DET
fcis-26722	10	8	classic	classic	ADJ
fcis-26722	10	9	worldwide	worldwide	ADJ
fcis-26722	10	10	problem	problem	NOUN
fcis-26722	10	11	.	.	PUNCT
fcis-26722	11	1	currently	currently	ADV
fcis-26722	11	2	,	,	PUNCT
fcis-26722	11	3	there	there	PRON
fcis-26722	11	4	is	be	VERB
fcis-26722	11	5	no	no	DET
fcis-26722	11	6	universal	universal	ADJ
fcis-26722	11	7	segmentation	segmentation	NOUN
fcis-26722	11	8	algorithm	algorithm	NOUN
fcis-26722	11	9	.	.	PUNCT
fcis-26722	12	1	the	the	DET
fcis-26722	12	2	inherent	inherent	ADJ
fcis-26722	12	3	complexity	complexity	NOUN
fcis-26722	12	4	and	and	CCONJ
fcis-26722	12	5	blur	blur	NOUN
fcis-26722	12	6	of	of	ADP
fcis-26722	12	7	the	the	DET
fcis-26722	12	8	image	image	NOUN
fcis-26722	12	9	itself	itself	PRON
fcis-26722	12	10	make	make	VERB
fcis-26722	12	11	image	image	NOUN
fcis-26722	12	12	segmentation	segmentation	NOUN
fcis-26722	12	13	difficult	difficult	ADJ
fcis-26722	12	14	,	,	PUNCT
fcis-26722	12	15	so	so	CCONJ
fcis-26722	12	16	the	the	DET
fcis-26722	12	17	main	main	ADJ
fcis-26722	12	18	task	task	NOUN
fcis-26722	12	19	of	of	ADP
fcis-26722	12	20	image	image	NOUN
fcis-26722	12	21	segmentation	segmentation	NOUN
fcis-26722	12	22	is	be	AUX
fcis-26722	12	23	to	to	PART
fcis-26722	12	24	deal	deal	VERB
fcis-26722	12	25	with	with	ADP
fcis-26722	12	26	the	the	DET
fcis-26722	12	27	uncertainty	uncertainty	NOUN
fcis-26722	12	28	in	in	ADP
fcis-26722	12	29	the	the	DET
fcis-26722	12	30	segmentation	segmentation	NOUN
fcis-26722	12	31	process	process	NOUN
fcis-26722	12	32	.	.	PUNCT
fcis-26722	13	1	threshold	threshold	NOUN
fcis-26722	13	2	segmentation	segmentation	NOUN
fcis-26722	13	3	is	be	AUX
fcis-26722	13	4	a	a	DET
fcis-26722	13	5	commonly	commonly	ADV
fcis-26722	13	6	used	use	VERB
fcis-26722	13	7	segmentation	segmentation	NOUN
fcis-26722	13	8	algorithm	algorithm	NOUN
fcis-26722	13	9	,	,	PUNCT
fcis-26722	13	10	which	which	PRON
fcis-26722	13	11	is	be	AUX
fcis-26722	13	12	simple	simple	ADJ
fcis-26722	13	13	,	,	PUNCT
fcis-26722	13	14	intuitive	intuitive	ADJ
fcis-26722	13	15	,	,	PUNCT
fcis-26722	13	16	and	and	CCONJ
fcis-26722	13	17	easy	easy	ADJ
fcis-26722	13	18	to	to	PART
fcis-26722	13	19	implement	implement	VERB
fcis-26722	13	20	.	.	PUNCT
fcis-26722	14	1	it	it	PRON
fcis-26722	14	2	is	be	AUX
fcis-26722	14	3	also	also	ADV
fcis-26722	14	4	one	one	NUM
fcis-26722	14	5	of	of	ADP
fcis-26722	14	6	the	the	DET
fcis-26722	14	7	hot	hot	ADJ
fcis-26722	14	8	topics	topic	NOUN
fcis-26722	14	9	in	in	ADP
fcis-26722	14	10	current	current	ADJ
fcis-26722	14	11	research	research	NOUN
fcis-26722	14	12	.	.	PUNCT
fcis-26722	15	1	traditional	traditional	ADJ
fcis-26722	15	2	threshold	threshold	NOUN
fcis-26722	15	3	segmentation	segmentation	NOUN
fcis-26722	15	4	mainly	mainly	ADV
fcis-26722	15	5	includes	include	VERB
fcis-26722	15	6	manual	manual	ADJ
fcis-26722	15	7	selection	selection	NOUN
fcis-26722	15	8	threshold	threshold	NOUN
fcis-26722	15	9	method	method	NOUN
fcis-26722	15	10	and	and	CCONJ
fcis-26722	15	11	automatic	automatic	ADJ
fcis-26722	15	12	selection	selection	NOUN
fcis-26722	15	13	threshold	threshold	NOUN
fcis-26722	15	14	method	method	NOUN
fcis-26722	15	15	.	.	PUNCT
fcis-26722	16	1	the	the	DET
fcis-26722	16	2	manual	manual	ADJ
fcis-26722	16	3	selection	selection	NOUN
fcis-26722	16	4	threshold	threshold	NOUN
fcis-26722	16	5	method	method	NOUN
fcis-26722	16	6	has	have	VERB
fcis-26722	16	7	a	a	DET
fcis-26722	16	8	certain	certain	ADJ
fcis-26722	16	9	subjective	subjective	ADJ
fcis-26722	16	10	blindness	blindness	NOUN
fcis-26722	16	11	in	in	ADP
fcis-26722	16	12	solving	solve	VERB
fcis-26722	16	13	the	the	DET
fcis-26722	16	14	optimal	optimal	ADJ
fcis-26722	16	15	segmentation	segmentation	NOUN
fcis-26722	16	16	threshold	threshold	NOUN
fcis-26722	16	17	.	.	PUNCT
fcis-26722	17	1	the	the	DET
fcis-26722	17	2	automatic	automatic	ADJ
fcis-26722	17	3	selection	selection	NOUN
fcis-26722	17	4	threshold	threshold	NOUN
fcis-26722	17	5	method	method	NOUN
fcis-26722	17	6	generally	generally	ADV
fcis-26722	17	7	includes	include	VERB
fcis-26722	17	8	iterative	iterative	NOUN
fcis-26722	17	9	method	method	NOUN
fcis-26722	17	10	,	,	PUNCT
fcis-26722	17	11	maximum	maximum	ADJ
fcis-26722	17	12	between	between	ADP
fcis-26722	17	13	-	-	PUNCT
fcis-26722	17	14	class	class	NOUN
fcis-26722	17	15	variance	variance	NOUN
fcis-26722	17	16	method	method	NOUN
fcis-26722	17	17	and	and	CCONJ
fcis-26722	17	18	maximum	maximum	ADJ
fcis-26722	17	19	average	average	ADJ
fcis-26722	17	20	information	information	NOUN
fcis-26722	17	21	entropy	entropy	NOUN
fcis-26722	17	22	method	method	NOUN
fcis-26722	17	23	.	.	PUNCT
fcis-26722	18	1	the	the	DET
fcis-26722	18	2	three	three	NUM
fcis-26722	18	3	methods	method	NOUN
fcis-26722	18	4	objectively	objectively	ADV
fcis-26722	18	5	solve	solve	VERB
fcis-26722	18	6	the	the	DET
fcis-26722	18	7	optimal	optimal	ADJ
fcis-26722	18	8	segmentation	segmentation	NOUN
fcis-26722	18	9	threshold	threshold	NOUN
fcis-26722	18	10	through	through	ADP
fcis-26722	18	11	the	the	DET
fcis-26722	18	12	adaptation	adaptation	NOUN
fcis-26722	18	13	function	function	NOUN
fcis-26722	18	14	,	,	PUNCT
fcis-26722	18	15	and	and	CCONJ
fcis-26722	18	16	they	they	PRON
fcis-26722	18	17	can	can	AUX
fcis-26722	18	18	not	not	PART
fcis-26722	18	19	effectively	effectively	ADV
fcis-26722	18	20	deal	deal	VERB
fcis-26722	18	21	with	with	ADP
fcis-26722	18	22	the	the	DET
fcis-26722	18	23	uncertainties	uncertainty	NOUN
fcis-26722	18	24	in	in	ADP
fcis-26722	18	25	image	image	NOUN
fcis-26722	18	26	segmentation	segmentation	NOUN
fcis-26722	18	27	.	.	PUNCT
fcis-26722	19	1	zhu	zhu	PROPN
fcis-26722	19	2	liangkuan	liangkuan	PROPN
fcis-26722	19	3	et	et	PROPN
fcis-26722	19	4	al	al	PROPN
fcis-26722	19	5	.	.	PUNCT
fcis-26722	20	1	[	[	X
fcis-26722	20	2	1	1	X
fcis-26722	20	3	]	]	PUNCT
fcis-26722	20	4	proposed	propose	VERB
fcis-26722	20	5	forest	forest	NOUN
fcis-26722	20	6	canopy	canopy	PROPN
fcis-26722	20	7	image	image	NOUN
fcis-26722	20	8	segmentation	segmentation	NOUN
fcis-26722	20	9	based	base	VERB
fcis-26722	20	10	on	on	ADP
fcis-26722	20	11	an	an	DET
fcis-26722	20	12	improved	improved	ADJ
fcis-26722	20	13	3	3	NUM
fcis-26722	20	14	-	-	SYM
fcis-26722	20	15	d	d	ADJ
fcis-26722	20	16	otsu	otsu	NOUN
fcis-26722	20	17	method	method	NOUN
fcis-26722	20	18	.	.	PUNCT
fcis-26722	21	1	the	the	DET
fcis-26722	21	2	core	core	NOUN
fcis-26722	21	3	of	of	ADP
fcis-26722	21	4	the	the	DET
fcis-26722	21	5	algorithm	algorithm	NOUN
fcis-26722	21	6	is	be	AUX
fcis-26722	21	7	to	to	PART
fcis-26722	21	8	use	use	VERB
fcis-26722	21	9	the	the	DET
fcis-26722	21	10	knowledge	knowledge	NOUN
fcis-26722	21	11	of	of	ADP
fcis-26722	21	12	posterior	posterior	ADJ
fcis-26722	21	13	probability	probability	NOUN
fcis-26722	21	14	to	to	PART
fcis-26722	21	15	process	process	VERB
fcis-26722	21	16	the	the	DET
fcis-26722	21	17	uncertainty	uncertainty	NOUN
fcis-26722	21	18	in	in	ADP
fcis-26722	21	19	the	the	DET
fcis-26722	21	20	image	image	NOUN
fcis-26722	21	21	.	.	PUNCT
fcis-26722	22	1	lei	lei	PROPN
fcis-26722	22	2	xiangxiao	xiangxiao	PROPN
fcis-26722	22	3	et	et	PROPN
fcis-26722	22	4	al	al	PROPN
fcis-26722	22	5	.	.	PUNCT
fcis-26722	23	1	[	[	X
fcis-26722	23	2	2	2	X
fcis-26722	23	3	]	]	PUNCT
fcis-26722	23	4	proposed	propose	VERB
fcis-26722	23	5	the	the	DET
fcis-26722	23	6	image	image	NOUN
fcis-26722	23	7	segmentation	segmentation	NOUN
fcis-26722	23	8	based	base	VERB
fcis-26722	23	9	on	on	ADP
fcis-26722	23	10	equivalent	equivalent	ADJ
fcis-26722	23	11	3	3	NUM
fcis-26722	23	12	-	-	PUNCT
fcis-26722	23	13	d	d	NOUN
fcis-26722	23	14	entropy	entropy	NOUN
fcis-26722	23	15	and	and	CCONJ
fcis-26722	23	16	whale	whale	NOUN
fcis-26722	23	17	optimization	optimization	NOUN
fcis-26722	23	18	algorithm	algorithm	NOUN
fcis-26722	23	19	.	.	PUNCT
fcis-26722	24	1	the	the	DET
fcis-26722	24	2	entropy	entropy	PROPN
fcis-26722	24	3	theory	theory	NOUN
fcis-26722	24	4	is	be	AUX
fcis-26722	24	5	used	use	VERB
fcis-26722	24	6	to	to	PART
fcis-26722	24	7	measure	measure	VERB
fcis-26722	24	8	the	the	DET
fcis-26722	24	9	uncertain	uncertain	ADJ
fcis-26722	24	10	factors	factor	NOUN
fcis-26722	24	11	in	in	ADP
fcis-26722	24	12	the	the	DET
fcis-26722	24	13	image	image	NOUN
fcis-26722	24	14	.	.	PUNCT
fcis-26722	25	1	finally	finally	ADV
fcis-26722	25	2	,	,	PUNCT
fcis-26722	25	3	the	the	DET
fcis-26722	25	4	whale	whale	NOUN
fcis-26722	25	5	optimization	optimization	NOUN
fcis-26722	25	6	algorithm	algorithm	NOUN
fcis-26722	25	7	is	be	AUX
fcis-26722	25	8	used	use	VERB
fcis-26722	25	9	to	to	PART
fcis-26722	25	10	improve	improve	VERB
fcis-26722	25	11	the	the	DET
fcis-26722	25	12	efficiency	efficiency	NOUN
fcis-26722	25	13	of	of	ADP
fcis-26722	25	14	the	the	DET
fcis-26722	25	15	algorithm	algorithm	NOUN
fcis-26722	25	16	.	.	PUNCT
fcis-26722	26	1	nabanita	nabanita	PROPN
fcis-26722	26	2	mahata	mahata	PROPN
fcis-26722	26	3	et	et	PROPN
fcis-26722	26	4	al	al	PROPN
fcis-26722	26	5	.	.	PUNCT
fcis-26722	27	1	[	[	X
fcis-26722	27	2	3	3	X
fcis-26722	27	3	]	]	PUNCT
fcis-26722	27	4	segmented	segment	VERB
fcis-26722	27	5	3	3	NUM
fcis-26722	27	6	-	-	SYM
fcis-26722	27	7	d	d	NOUN
fcis-26722	27	8	brain	brain	NOUN
fcis-26722	27	9	magnetic	magnetic	ADJ
fcis-26722	27	10	resonance	resonance	NOUN
fcis-26722	27	11	images	image	NOUN
fcis-26722	27	12	by	by	ADP
fcis-26722	27	13	minimizing	minimize	VERB
fcis-26722	27	14	global	global	ADJ
fcis-26722	27	15	and	and	CCONJ
fcis-26722	27	16	local	local	ADJ
fcis-26722	27	17	entropy	entropy	NOUN
fcis-26722	27	18	space	space	NOUN
fcis-26722	27	19	constraints	constraint	NOUN
fcis-26722	27	20	,	,	PUNCT
fcis-26722	27	21	and	and	CCONJ
fcis-26722	27	22	also	also	ADV
fcis-26722	27	23	used	use	VERB
fcis-26722	27	24	entropy	entropy	NOUN
fcis-26722	27	25	to	to	PART
fcis-26722	27	26	process	process	VERB
fcis-26722	27	27	image	image	NOUN
fcis-26722	27	28	uncertainty	uncertainty	NOUN
fcis-26722	27	29	.	.	PUNCT
fcis-26722	28	1	xiaofeng	xiaofeng	PROPN
fcis-26722	28	2	yue	yue	PROPN
fcis-26722	28	3	et	et	PROPN
fcis-26722	28	4	al	al	PROPN
fcis-26722	28	5	.	.	PUNCT
fcis-26722	29	1	[	[	X
fcis-26722	29	2	4	4	X
fcis-26722	29	3	]	]	PUNCT
fcis-26722	29	4	used	use	VERB
fcis-26722	29	5	the	the	DET
fcis-26722	29	6	hybrid	hybrid	ADJ
fcis-26722	29	7	bat	bat	NOUN
fcis-26722	29	8	algorithm	algorithm	NOUN
fcis-26722	29	9	to	to	PART
fcis-26722	29	10	segment	segment	VERB
fcis-26722	29	11	the	the	DET
fcis-26722	29	12	image	image	NOUN
fcis-26722	29	13	.	.	PUNCT
fcis-26722	30	1	the	the	DET
fcis-26722	30	2	algorithm	algorithm	NOUN
fcis-26722	30	3	combines	combine	VERB
fcis-26722	30	4	genetic	genetic	ADJ
fcis-26722	30	5	crossover	crossover	NOUN
fcis-26722	30	6	operations	operation	NOUN
fcis-26722	30	7	and	and	CCONJ
fcis-26722	30	8	smart	smart	ADJ
fcis-26722	30	9	inertia	inertia	NOUN
fcis-26722	30	10	weight	weight	NOUN
fcis-26722	30	11	,	,	PUNCT
fcis-26722	30	12	and	and	CCONJ
fcis-26722	30	13	uses	use	VERB
fcis-26722	30	14	the	the	DET
fcis-26722	30	15	between	between	ADP
fcis-26722	30	16	-	-	PUNCT
fcis-26722	30	17	class	class	NOUN
fcis-26722	30	18	variance	variance	NOUN
fcis-26722	30	19	and	and	CCONJ
fcis-26722	30	20	kapur	kapur	PROPN
fcis-26722	30	21	entropy	entropy	PROPN
fcis-26722	30	22	as	as	ADP
fcis-26722	30	23	the	the	DET
fcis-26722	30	24	objective	objective	ADJ
fcis-26722	30	25	function	function	NOUN
fcis-26722	30	26	to	to	PART
fcis-26722	30	27	solve	solve	VERB
fcis-26722	30	28	the	the	DET
fcis-26722	30	29	optimal	optimal	ADJ
fcis-26722	30	30	segmentation	segmentation	NOUN
fcis-26722	30	31	threshold	threshold	NOUN
fcis-26722	30	32	.	.	PUNCT
fcis-26722	31	1	the	the	DET
fcis-26722	31	2	common	common	ADJ
fcis-26722	31	3	point	point	NOUN
fcis-26722	31	4	of	of	ADP
fcis-26722	31	5	the	the	DET
fcis-26722	31	6	segmentation	segmentation	NOUN
fcis-26722	31	7	algorithms	algorithm	NOUN
fcis-26722	31	8	proposed	propose	VERB
fcis-26722	31	9	by	by	ADP
fcis-26722	31	10	the	the	DET
fcis-26722	31	11	above	above	ADJ
fcis-26722	31	12	scholars	scholar	NOUN
fcis-26722	31	13	is	be	AUX
fcis-26722	31	14	to	to	PART
fcis-26722	31	15	use	use	VERB
fcis-26722	31	16	posterior	posterior	ADJ
fcis-26722	31	17	probability	probability	NOUN
fcis-26722	31	18	to	to	PART
fcis-26722	31	19	solve	solve	VERB
fcis-26722	31	20	the	the	DET
fcis-26722	31	21	uncertainties	uncertainty	NOUN
fcis-26722	31	22	in	in	ADP
fcis-26722	31	23	image	image	NOUN
fcis-26722	31	24	segmentation	segmentation	NOUN
fcis-26722	31	25	.	.	PUNCT
fcis-26722	32	1	but	but	CCONJ
fcis-26722	32	2	in	in	ADP
fcis-26722	32	3	practice	practice	NOUN
fcis-26722	32	4	,	,	PUNCT
fcis-26722	32	5	the	the	DET
fcis-26722	32	6	posterior	posterior	ADJ
fcis-26722	32	7	probability	probability	NOUN
fcis-26722	32	8	can	can	AUX
fcis-26722	32	9	not	not	PART
fcis-26722	32	10	effectively	effectively	ADV
fcis-26722	32	11	deal	deal	VERB
fcis-26722	32	12	with	with	ADP
fcis-26722	32	13	the	the	DET
fcis-26722	32	14	uncertainty	uncertainty	NOUN
fcis-26722	32	15	in	in	ADP
fcis-26722	32	16	image	image	NOUN
fcis-26722	32	17	segmentation	segmentation	NOUN
fcis-26722	32	18	.	.	PUNCT
fcis-26722	33	1	in	in	ADP
fcis-26722	33	2	this	this	DET
fcis-26722	33	3	paper	paper	NOUN
fcis-26722	33	4	,	,	PUNCT
fcis-26722	33	5	we	we	PRON
fcis-26722	33	6	propose	propose	VERB
fcis-26722	33	7	an	an	DET
fcis-26722	33	8	effective	effective	ADJ
fcis-26722	33	9	single	single	ADJ
fcis-26722	33	10	-	-	PUNCT
fcis-26722	33	11	threshold	threshold	NOUN
fcis-26722	33	12	segmentation	segmentation	NOUN
fcis-26722	33	13	algorithm	algorithm	NOUN
fcis-26722	33	14	.	.	PUNCT
fcis-26722	34	1	the	the	DET
fcis-26722	34	2	image	image	NOUN
fcis-26722	34	3	is	be	AUX
fcis-26722	34	4	processed	process	VERB
fcis-26722	34	5	with	with	ADP
fcis-26722	34	6	variable	variable	ADJ
fcis-26722	34	7	precision	precision	NOUN
fcis-26722	34	8	rough	rough	ADJ
fcis-26722	34	9	set	set	NOUN
fcis-26722	34	10	(	(	PUNCT
fcis-26722	34	11	vprs	vprs	NOUN
fcis-26722	34	12	)	)	PUNCT
fcis-26722	34	13	,	,	PUNCT
fcis-26722	34	14	the	the	DET
fcis-26722	34	15	maximum	maximum	ADJ
fcis-26722	34	16	segmentation	segmentation	NOUN
fcis-26722	34	17	threshold	threshold	NOUN
fcis-26722	34	18	is	be	AUX
fcis-26722	34	19	used	use	VERB
fcis-26722	34	20	to	to	PART
fcis-26722	34	21	solve	solve	VERB
fcis-26722	34	22	the	the	DET
fcis-26722	34	23	optimal	optimal	ADJ
fcis-26722	34	24	segmentation	segmentation	NOUN
fcis-26722	34	25	threshold	threshold	NOUN
fcis-26722	34	26	,	,	PUNCT
fcis-26722	34	27	and	and	CCONJ
fcis-26722	34	28	the	the	DET
fcis-26722	34	29	particle	particle	NOUN
fcis-26722	34	30	swarm	swarm	NOUN
fcis-26722	34	31	optimization	optimization	NOUN
fcis-26722	34	32	is	be	AUX
fcis-26722	34	33	used	use	VERB
fcis-26722	34	34	to	to	PART
fcis-26722	34	35	improve	improve	VERB
fcis-26722	34	36	the	the	DET
fcis-26722	34	37	efficiency	efficiency	NOUN
fcis-26722	34	38	of	of	ADP
fcis-26722	34	39	the	the	DET
fcis-26722	34	40	algorithm	algorithm	NOUN
fcis-26722	34	41	.	.	PUNCT
fcis-26722	35	1	rough	rough	ADJ
fcis-26722	35	2	set	set	NOUN
fcis-26722	35	3	is	be	AUX
fcis-26722	35	4	an	an	DET
fcis-26722	35	5	effective	effective	ADJ
fcis-26722	35	6	mathematical	mathematical	ADJ
fcis-26722	35	7	tool	tool	NOUN
fcis-26722	35	8	for	for	ADP
fcis-26722	35	9	dealing	deal	VERB
fcis-26722	35	10	with	with	ADP
fcis-26722	35	11	uncertainty	uncertainty	NOUN
fcis-26722	35	12	and	and	CCONJ
fcis-26722	35	13	ambiguity	ambiguity	NOUN
fcis-26722	35	14	[	[	X
fcis-26722	35	15	5,6	5,6	NUM
fcis-26722	35	16	]	]	X
fcis-26722	35	17	.	.	PUNCT
fcis-26722	36	1	the	the	PRON
fcis-26722	36	2	greater	great	ADJ
fcis-26722	36	3	the	the	DET
fcis-26722	36	4	dependency	dependency	NOUN
fcis-26722	36	5	in	in	ADP
fcis-26722	36	6	vprs	vprs	NOUN
fcis-26722	36	7	,	,	PUNCT
fcis-26722	36	8	the	the	PRON
fcis-26722	36	9	closer	close	ADJ
fcis-26722	36	10	the	the	DET
fcis-26722	36	11	relationship	relationship	NOUN
fcis-26722	36	12	between	between	ADP
fcis-26722	36	13	attributes	attribute	NOUN
fcis-26722	36	14	.	.	PUNCT
fcis-26722	37	1	we	we	PRON
fcis-26722	37	2	will	will	AUX
fcis-26722	37	3	construct	construct	VERB
fcis-26722	37	4	a	a	DET
fcis-26722	37	5	new	new	ADJ
fcis-26722	37	6	dependency	dependency	NOUN
fcis-26722	37	7	function	function	NOUN
fcis-26722	37	8	.	.	PUNCT
fcis-26722	38	1	when	when	SCONJ
fcis-26722	38	2	the	the	DET
fcis-26722	38	3	dependency	dependency	NOUN
fcis-26722	38	4	value	value	NOUN
fcis-26722	38	5	is	be	AUX
fcis-26722	38	6	maximized	maximize	VERB
fcis-26722	38	7	,	,	PUNCT
fcis-26722	38	8	the	the	DET
fcis-26722	38	9	corresponding	correspond	VERB
fcis-26722	38	10	segmentation	segmentation	NOUN
fcis-26722	38	11	threshold	threshold	NOUN
fcis-26722	38	12	is	be	AUX
fcis-26722	38	13	used	use	VERB
fcis-26722	38	14	as	as	ADP
fcis-26722	38	15	the	the	DET
fcis-26722	38	16	best	good	ADJ
fcis-26722	38	17	image	image	NOUN
fcis-26722	38	18	segmentation	segmentation	NOUN
fcis-26722	38	19	threshold	threshold	NOUN
fcis-26722	38	20	.	.	PUNCT
fcis-26722	39	1	experiments	experiment	NOUN
fcis-26722	39	2	compare	compare	VERB
fcis-26722	39	3	the	the	DET
fcis-26722	39	4	proposed	propose	VERB
fcis-26722	39	5	algorithm	algorithm	NOUN
fcis-26722	39	6	with	with	ADP
fcis-26722	39	7	current	current	ADJ
fcis-26722	39	8	commonly	commonly	ADV
fcis-26722	39	9	used	use	VERB
fcis-26722	39	10	algorithms	algorithm	NOUN
fcis-26722	39	11	and	and	CCONJ
fcis-26722	39	12	iterative	iterative	NOUN
fcis-26722	39	13	methods	method	NOUN
fcis-26722	39	14	to	to	PART
fcis-26722	39	15	verify	verify	VERB
fcis-26722	39	16	the	the	DET
fcis-26722	39	17	advantages	advantage	NOUN
fcis-26722	39	18	of	of	ADP
fcis-26722	39	19	the	the	DET
fcis-26722	39	20	algorithm	algorithm	NOUN
fcis-26722	39	21	in	in	ADP
fcis-26722	39	22	this	this	DET
fcis-26722	39	23	paper	paper	NOUN
fcis-26722	40	1	[	[	X
fcis-26722	40	2	7	7	NUM
fcis-26722	40	3	]	]	PUNCT
fcis-26722	40	4	.	.	PUNCT
fcis-26722	41	1	2	2	X
fcis-26722	41	2	.	.	X
fcis-26722	41	3	basic	basic	ADJ
fcis-26722	41	4	theory	theory	NOUN
fcis-26722	41	5	2.1	2.1	NUM
fcis-26722	41	6	.	.	PUNCT
fcis-26722	42	1	variable	variable	ADJ
fcis-26722	42	2	precision	precision	NOUN
fcis-26722	42	3	rough	rough	ADJ
fcis-26722	42	4	set	set	NOUN
fcis-26722	42	5	definition	definition	NOUN
fcis-26722	42	6	1	1	NUM
fcis-26722	42	7	.	.	PUNCT
fcis-26722	43	1	knowledge	knowledge	NOUN
fcis-26722	43	2	base	base	PROPN
fcis-26722	43	3	s	s	PART
fcis-26722	43	4	can	can	AUX
fcis-26722	43	5	be	be	AUX
fcis-26722	43	6	effectively	effectively	ADV
fcis-26722	43	7	represented	represent	VERB
fcis-26722	43	8	as	as	ADP
fcis-26722	43	9	a	a	DET
fcis-26722	43	10	quaternion	quaternion	NOUN
fcis-26722	43	11	(	(	PUNCT
fcis-26722	43	12	,	,	PUNCT
fcis-26722	43	13	,	,	PUNCT
fcis-26722	43	14	,	,	PUNCT
fcis-26722	43	15	)	)	PUNCT
fcis-26722	43	16	s	s	PART
fcis-26722	43	17	u	u	NOUN
fcis-26722	43	18	r	r	NOUN
fcis-26722	43	19	v	v	NUM
fcis-26722	43	20	f	f	NOUN
fcis-26722	43	21	.	.	PUNCT
fcis-26722	44	1	the	the	DET
fcis-26722	44	2	finite	finite	PROPN
fcis-26722	44	3	set	set	VERB
fcis-26722	44	4	u	u	PRON
fcis-26722	44	5			NOUN
fcis-26722	44	6	,	,	PUNCT
fcis-26722	44	7	called	call	VERB
fcis-26722	44	8	domain	domain	NOUN
fcis-26722	44	9	.	.	PUNCT
fcis-26722	45	1	the	the	DET
fcis-26722	45	2	set	set	NOUN
fcis-26722	45	3	r	r	NOUN
fcis-26722	45	4	is	be	AUX
fcis-26722	45	5	a	a	DET
fcis-26722	45	6	non	non	ADJ
fcis-26722	45	7	-	-	ADJ
fcis-26722	45	8	empty	empty	ADJ
fcis-26722	45	9	finite	finite	NOUN
fcis-26722	45	10	set	set	NOUN
fcis-26722	45	11	of	of	ADP
fcis-26722	45	12	attributes	attribute	NOUN
fcis-26722	45	13	,	,	PUNCT
fcis-26722	45	14	1	1	NUM
fcis-26722	45	15	2	2	NUM
fcis-26722	45	16	{	{	PUNCT
fcis-26722	45	17	,	,	PUNCT
fcis-26722	45	18	,	,	PUNCT
fcis-26722	45	19	,	,	PUNCT
fcis-26722	45	20	}	}	PUNCT
fcis-26722	45	21	mr	mr	PROPN
fcis-26722	45	22	r	r	PROPN
fcis-26722	45	23	r	r	NOUN
fcis-26722	45	24	r	r	NOUN
fcis-26722	45	25			NOUN
fcis-26722	45	26	.	.	PUNCT
fcis-26722	46	1	the	the	DET
fcis-26722	46	2	set	set	NOUN
fcis-26722	46	3	iv	iv	NUM
fcis-26722	46	4	v	v	ADV
fcis-26722	46	5			PROPN
fcis-26722	46	6	is	be	AUX
fcis-26722	46	7	a	a	DET
fcis-26722	46	8	range	range	NOUN
fcis-26722	46	9	of	of	ADP
fcis-26722	46	10	attributes	attribute	NOUN
fcis-26722	46	11	ir	ir	PROPN
fcis-26722	46	12	.	.	PUNCT
fcis-26722	47	1	the	the	DET
fcis-26722	47	2	function	function	NOUN
fcis-26722	47	3	expression	expression	NOUN
fcis-26722	47	4	:	:	PUNCT
fcis-26722	47	5	f	f	PROPN
fcis-26722	47	6	u	u	NOUN
fcis-26722	47	7	r	r	NOUN
fcis-26722	47	8	v	v	NOUN
fcis-26722	47	9			PROPN
fcis-26722	47	10	can	can	AUX
fcis-26722	47	11	be	be	AUX
fcis-26722	47	12	understood	understand	VERB
fcis-26722	47	13	as	as	ADP
fcis-26722	47	14	:	:	PUNCT
fcis-26722	47	15	r	r	NOUN
fcis-26722	47	16	r	r	NOUN
fcis-26722	47	17			NOUN
fcis-26722	47	18	,	,	PUNCT
fcis-26722	47	19	x	x	PUNCT
fcis-26722	47	20	u	u	NOUN
fcis-26722	47	21	,	,	PUNCT
fcis-26722	47	22	(	(	PUNCT
fcis-26722	47	23	,	,	PUNCT
fcis-26722	47	24	)	)	PUNCT
fcis-26722	47	25	rf	rf	ADP
fcis-26722	47	26	x	x	PUNCT
fcis-26722	47	27	a	a	DET
fcis-26722	47	28	v	v	NOUN
fcis-26722	47	29	.	.	PUNCT
fcis-26722	48	1	in	in	ADP
fcis-26722	48	2	order	order	NOUN
fcis-26722	48	3	to	to	PART
fcis-26722	48	4	solve	solve	VERB
fcis-26722	48	5	the	the	DET
fcis-26722	48	6	defects	defect	NOUN
fcis-26722	48	7	of	of	ADP
fcis-26722	48	8	pawlak	pawlak	ADJ
fcis-26722	48	9	rough	rough	ADJ
fcis-26722	48	10	set	set	NOUN
fcis-26722	48	11	,	,	PUNCT
fcis-26722	48	12	ziarko	ziarko	PROPN
fcis-26722	48	13	proposed	propose	VERB
fcis-26722	48	14	a	a	DET
fcis-26722	48	15	variable	variable	ADJ
fcis-26722	48	16	precision	precision	NOUN
fcis-26722	48	17	rough	rough	ADJ
fcis-26722	48	18	set	set	NOUN
fcis-26722	48	19	(	(	PUNCT
fcis-26722	48	20	vprs	vprs	NOUN
fcis-26722	48	21	)	)	PUNCT
fcis-26722	48	22	model	model	NOUN
fcis-26722	48	23	.	.	PUNCT
fcis-26722	49	1	vprs	vprs	NOUN
fcis-26722	49	2	introduces	introduce	VERB
fcis-26722	49	3	a	a	DET
fcis-26722	49	4	variable	variable	NOUN
fcis-26722	49	5	,	,	PUNCT
fcis-26722	49	6	the	the	DET
fcis-26722	49	7	classification	classification	NOUN
fcis-26722	49	8	error	error	NOUN
fcis-26722	49	9			NOUN
fcis-26722	49	10	(	(	PUNCT
fcis-26722	49	11	0	0	NUM
fcis-26722	49	12	0.5	0.5	PROPN
fcis-26722	49	13			PROPN
fcis-26722	49	14	)	)	PUNCT
fcis-26722	49	15	.	.	PUNCT
fcis-26722	50	1	with	with	ADP
fcis-26722	50	2	the	the	DET
fcis-26722	50	3	existence	existence	NOUN
fcis-26722	50	4	of	of	ADP
fcis-26722	50	5	this	this	DET
fcis-26722	50	6	variable	variable	NOUN
fcis-26722	50	7	,	,	PUNCT
fcis-26722	50	8	vprs	vprs	NOUN
fcis-26722	50	9	is	be	AUX
fcis-26722	50	10	more	more	ADV
fcis-26722	50	11	widely	widely	ADV
fcis-26722	50	12	used	use	VERB
fcis-26722	50	13	.	.	PUNCT
fcis-26722	51	1	in	in	ADP
fcis-26722	51	2	fact	fact	NOUN
fcis-26722	51	3	,	,	PUNCT
fcis-26722	51	4	when	when	SCONJ
fcis-26722	51	5	0	0	ADJ
fcis-26722	51	6			ADJ
fcis-26722	51	7	,	,	PUNCT
fcis-26722	51	8	vprs	vprs	NOUN
fcis-26722	51	9	is	be	AUX
fcis-26722	51	10	a	a	DET
fcis-26722	51	11	special	special	ADJ
fcis-26722	51	12	case	case	NOUN
fcis-26722	51	13	of	of	ADP
fcis-26722	51	14	pawlak	pawlak	ADJ
fcis-26722	51	15	rough	rough	ADJ
fcis-26722	51	16	set	set	NOUN
fcis-26722	51	17	.	.	PUNCT
fcis-26722	52	1	this	this	DET
fcis-26722	52	2	conclusion	conclusion	NOUN
fcis-26722	52	3	will	will	AUX
fcis-26722	52	4	be	be	AUX
fcis-26722	52	5	explained	explain	VERB
fcis-26722	52	6	below	below	ADV
fcis-26722	52	7	.	.	PUNCT
fcis-26722	53	1	definition	definition	NOUN
fcis-26722	53	2	2	2	NUM
fcis-26722	53	3	.	.	PUNCT
fcis-26722	54	1	let	let	AUX
fcis-26722	54	2	set	set	VERB
fcis-26722	54	3	x	x	PUNCT
fcis-26722	54	4	u	u	PROPN
fcis-26722	54	5	and	and	CCONJ
fcis-26722	54	6	x	x	SYM
fcis-26722	54	7			NOUN
fcis-26722	54	8	,	,	PUNCT
fcis-26722	54	9	where	where	SCONJ
fcis-26722	54	10	u	u	NOUN
fcis-26722	54	11	is	be	AUX
fcis-26722	54	12	a	a	DET
fcis-26722	54	13	finite	finite	ADJ
fcis-26722	54	14	set	set	NOUN
fcis-26722	54	15	.	.	PUNCT
fcis-26722	55	1	if	if	SCONJ
fcis-26722	55	2	e	e	PROPN
fcis-26722	55	3	x	x	PROPN
fcis-26722	55	4			NOUN
fcis-26722	55	5	and	and	CCONJ
fcis-26722	55	6	e	e	NOUN
fcis-26722	55	7	y	y	ADV
fcis-26722	55	8			PROPN
fcis-26722	55	9	,	,	PUNCT
fcis-26722	55	10	then	then	ADV
fcis-26722	55	11	y	y	PROPN
fcis-26722	55	12	x	x	PROPN
fcis-26722	55	13	.	.	PUNCT
fcis-26722	56	1	let	let	VERB
fcis-26722	56	2	98	98	NUM
fcis-26722	56	3	1	1	NUM
fcis-26722	57	1	|	|	ADV
fcis-26722	57	2	|	|	ADV
fcis-26722	57	3	/	/	SYM
fcis-26722	58	1	|	|	ADV
fcis-26722	58	2	|,|	|,|	X
fcis-26722	58	3	|	|	ADV
fcis-26722	58	4	0	0	PUNCT
fcis-26722	59	1	(	(	PUNCT
fcis-26722	59	2	,	,	PUNCT
fcis-26722	59	3	)	)	PUNCT
fcis-26722	59	4	0	0	NUM
fcis-26722	60	1	,	,	PUNCT
fcis-26722	60	2	|	|	ADV
fcis-26722	61	1	|	|	ADV
fcis-26722	61	2	0	0	NUM
fcis-26722	61	3	x	x	SYM
fcis-26722	61	4	y	y	NOUN
fcis-26722	61	5	x	x	PUNCT
fcis-26722	61	6	x	x	X
fcis-26722	61	7	c	c	NOUN
fcis-26722	61	8	x	x	SYM
fcis-26722	61	9	y	y	NOUN
fcis-26722	61	10	x	x	PUNCT
fcis-26722	61	11			NOUN
fcis-26722	61	12			VERB
fcis-26722	61	13			NUM
fcis-26722	61	14			NOUN
fcis-26722	61	15			PROPN
fcis-26722	61	16	(	(	PUNCT
fcis-26722	61	17	1	1	NUM
fcis-26722	61	18	)	)	PUNCT
fcis-26722	61	19	then	then	ADV
fcis-26722	61	20	(	(	PUNCT
fcis-26722	61	21	,	,	PUNCT
fcis-26722	61	22	)	)	PUNCT
fcis-26722	61	23	c	c	NOUN
fcis-26722	61	24	x	x	PUNCT
fcis-26722	61	25	y	y	PROPN
fcis-26722	61	26	is	be	AUX
fcis-26722	61	27	called	call	VERB
fcis-26722	61	28	the	the	DET
fcis-26722	61	29	misclassification	misclassification	NOUN
fcis-26722	61	30	rate	rate	NOUN
fcis-26722	61	31	of	of	ADP
fcis-26722	61	32	the	the	DET
fcis-26722	61	33	set	set	NOUN
fcis-26722	61	34	x	x	PUNCT
fcis-26722	61	35	with	with	ADP
fcis-26722	61	36	respect	respect	NOUN
fcis-26722	61	37	to	to	PART
fcis-26722	61	38	set	set	VERB
fcis-26722	61	39	y	y	PROPN
fcis-26722	61	40	.	.	PUNCT
fcis-26722	62	1	definition	definition	NOUN
fcis-26722	62	2	3	3	NUM
fcis-26722	62	3	.	.	PUNCT
fcis-26722	63	1	let	let	VERB
fcis-26722	63	2	0	0	NUM
fcis-26722	64	1	0.5	0.5	PROPN
fcis-26722	64	2			PROPN
fcis-26722	64	3	,	,	PUNCT
fcis-26722	64	4	then	then	ADV
fcis-26722	64	5	the	the	DET
fcis-26722	64	6	majority	majority	NOUN
fcis-26722	64	7	inclusion	inclusion	NOUN
fcis-26722	64	8	relation	relation	NOUN
fcis-26722	64	9	is	be	AUX
fcis-26722	64	10	defined	define	VERB
fcis-26722	64	11	as	as	ADP
fcis-26722	64	12	:	:	PUNCT
fcis-26722	64	13	(	(	PUNCT
fcis-26722	64	14	,	,	PUNCT
fcis-26722	64	15	)	)	PUNCT
fcis-26722	64	16	y	y	PROPN
fcis-26722	64	17	x	x	PUNCT
fcis-26722	65	1	c	c	NOUN
fcis-26722	65	2	x	x	X
fcis-26722	65	3	y	y	PROPN
fcis-26722	65	4			PROPN
fcis-26722	65	5			PROPN
fcis-26722	65	6			PROPN
fcis-26722	65	7			PROPN
fcis-26722	65	8	.	.	PUNCT
fcis-26722	66	1	definition	definition	NOUN
fcis-26722	66	2	4	4	NUM
fcis-26722	66	3	.	.	PUNCT
fcis-26722	67	1	let	let	AUX
fcis-26722	67	2	(	(	PUNCT
fcis-26722	67	3	,	,	PUNCT
fcis-26722	67	4	)	)	PUNCT
fcis-26722	67	5	u	u	NOUN
fcis-26722	67	6	r	r	NOUN
fcis-26722	67	7	be	be	VERB
fcis-26722	67	8	a	a	DET
fcis-26722	67	9	knowledge	knowledge	NOUN
fcis-26722	67	10	base	base	NOUN
fcis-26722	67	11	,	,	PUNCT
fcis-26722	67	12	where	where	SCONJ
fcis-26722	67	13	u	u	ADV
fcis-26722	67	14	,	,	PUNCT
fcis-26722	67	15	r	r	NOUN
fcis-26722	67	16	be	be	VERB
fcis-26722	67	17	the	the	DET
fcis-26722	67	18	upper	upper	ADJ
fcis-26722	67	19	equivalence	equivalence	NOUN
fcis-26722	67	20	relation	relation	NOUN
fcis-26722	67	21	of	of	ADP
fcis-26722	67	22	u	u	PROPN
fcis-26722	67	23	,	,	PUNCT
fcis-26722	67	24	and	and	CCONJ
fcis-26722	67	25	1	1	NUM
fcis-26722	67	26	2/	2/	NUM
fcis-26722	67	27	{	{	PUNCT
fcis-26722	67	28	,	,	PUNCT
fcis-26722	67	29	,	,	PUNCT
fcis-26722	67	30	,	,	PUNCT
fcis-26722	67	31	}	}	PUNCT
fcis-26722	67	32	nu	nu	NOUN
fcis-26722	67	33	r	r	NOUN
fcis-26722	67	34	e	e	X
fcis-26722	67	35	e	e	X
fcis-26722	67	36	e	e	ADJ
fcis-26722	67	37			NOUN
fcis-26722	67	38	be	be	AUX
fcis-26722	67	39	the	the	DET
fcis-26722	67	40	basic	basic	ADJ
fcis-26722	67	41	equivalence	equivalence	NOUN
fcis-26722	67	42	classification	classification	NOUN
fcis-26722	67	43	of	of	ADP
fcis-26722	67	44	r	r	NOUN
fcis-26722	67	45	.	.	PUNCT
fcis-26722	68	1	for	for	ADP
fcis-26722	68	2	the	the	DET
fcis-26722	68	3	set	set	NOUN
fcis-26722	68	4	x	x	PUNCT
fcis-26722	68	5	u	u	PROPN
fcis-26722	68	6	:	:	PUNCT
fcis-26722	68	7	the	the	DET
fcis-26722	68	8			PROPN
fcis-26722	68	9	-lower	-lower	PROPN
fcis-26722	68	10	approximation	approximation	NOUN
fcis-26722	68	11	set	set	NOUN
fcis-26722	68	12	of	of	ADP
fcis-26722	68	13	x	x	PRON
fcis-26722	68	14	:	:	PUNCT
fcis-26722	68	15	{	{	PUNCT
fcis-26722	68	16	/	/	SYM
fcis-26722	68	17	|	|	ADV
fcis-26722	68	18	}	}	PUNCT
fcis-26722	68	19	r	r	NOUN
fcis-26722	68	20	x	x	PUNCT
fcis-26722	68	21	e	e	NOUN
fcis-26722	68	22	u	u	NOUN
fcis-26722	68	23	r	r	NOUN
fcis-26722	68	24	x	x	PUNCT
fcis-26722	68	25	e	e	NOUN
fcis-26722	68	26			PROPN
fcis-26722	68	27			PROPN
fcis-26722	68	28			PROPN
fcis-26722	68	29			PROPN
fcis-26722	68	30			PROPN
fcis-26722	68	31	or	or	CCONJ
fcis-26722	68	32	{	{	PUNCT
fcis-26722	68	33	/	/	SYM
fcis-26722	68	34	|	|	ADV
fcis-26722	68	35	(	(	PUNCT
fcis-26722	68	36	,	,	PUNCT
fcis-26722	68	37	)	)	PUNCT
fcis-26722	69	1	}	}	PUNCT
fcis-26722	69	2	r	r	NOUN
fcis-26722	69	3	x	x	PUNCT
fcis-26722	69	4	e	e	NOUN
fcis-26722	69	5	u	u	NOUN
fcis-26722	69	6	r	r	NOUN
fcis-26722	69	7	c	c	NOUN
fcis-26722	69	8	e	e	NOUN
fcis-26722	69	9	x	x	PROPN
fcis-26722	69	10			VERB
fcis-26722	69	11			PROPN
fcis-26722	69	12			PROPN
fcis-26722	69	13	,	,	PUNCT
fcis-26722	69	14	where	where	SCONJ
fcis-26722	69	15	r	r	NOUN
fcis-26722	69	16	x	x	PROPN
fcis-26722	69	17	is	be	AUX
fcis-26722	69	18	also	also	ADV
fcis-26722	69	19	referred	refer	VERB
fcis-26722	69	20	to	to	ADP
fcis-26722	69	21	as	as	ADP
fcis-26722	69	22			PROPN
fcis-26722	69	23	-positive	-positive	PROPN
fcis-26722	69	24	region	region	NOUN
fcis-26722	69	25	,	,	PUNCT
fcis-26722	69	26	denoted	denote	VERB
fcis-26722	69	27	as	as	ADP
fcis-26722	69	28	(	(	PUNCT
fcis-26722	69	29	)	)	PUNCT
fcis-26722	69	30	posr	posr	VERB
fcis-26722	69	31	x	x	PROPN
fcis-26722	69	32	.	.	PUNCT
fcis-26722	70	1	the	the	DET
fcis-26722	70	2			PROPN
fcis-26722	70	3	-upper	-upper	NOUN
fcis-26722	70	4	approximation	approximation	NOUN
fcis-26722	70	5	set	set	NOUN
fcis-26722	70	6	of	of	ADP
fcis-26722	70	7	x	x	PRON
fcis-26722	70	8	:	:	PUNCT
fcis-26722	70	9	{	{	PUNCT
fcis-26722	70	10	/	/	SYM
fcis-26722	70	11	|	|	INTJ
fcis-26722	70	12	(	(	PUNCT
fcis-26722	70	13	,	,	PUNCT
fcis-26722	70	14	)	)	PUNCT
fcis-26722	70	15	1	1	NUM
fcis-26722	70	16	}	}	PUNCT
fcis-26722	70	17	r	r	NOUN
fcis-26722	70	18	x	x	PUNCT
fcis-26722	70	19	e	e	NOUN
fcis-26722	70	20	u	u	NOUN
fcis-26722	70	21	r	r	NOUN
fcis-26722	70	22	c	c	NOUN
fcis-26722	70	23	e	e	NOUN
fcis-26722	70	24	x	x	PROPN
fcis-26722	70	25			VERB
fcis-26722	70	26			PROPN
fcis-26722	70	27			PROPN
fcis-26722	70	28			PROPN
fcis-26722	70	29	.	.	PUNCT
fcis-26722	71	1	the	the	DET
fcis-26722	71	2			PROPN
fcis-26722	71	3	-boundary	-boundary	ADJ
fcis-26722	71	4	region	region	NOUN
fcis-26722	71	5	of	of	ADP
fcis-26722	71	6	x	x	X
fcis-26722	71	7	:	:	PUNCT
fcis-26722	71	8	(	(	PUNCT
fcis-26722	71	9	)	)	PUNCT
fcis-26722	71	10	{	{	PUNCT
fcis-26722	71	11	/	/	SYM
fcis-26722	71	12	|	|	ADV
fcis-26722	71	13	(	(	PUNCT
fcis-26722	71	14	,	,	PUNCT
fcis-26722	71	15	)	)	PUNCT
fcis-26722	71	16	1	1	NUM
fcis-26722	71	17	}	}	PUNCT
fcis-26722	71	18	bnr	bnr	NOUN
fcis-26722	71	19	x	x	X
fcis-26722	71	20	e	e	NOUN
fcis-26722	71	21	u	u	NOUN
fcis-26722	71	22	r	r	NOUN
fcis-26722	71	23	c	c	NOUN
fcis-26722	71	24	e	e	NOUN
fcis-26722	71	25	x	x	PROPN
fcis-26722	71	26			PROPN
fcis-26722	71	27			VERB
fcis-26722	71	28			NOUN
fcis-26722	71	29			PROPN
fcis-26722	71	30			PROPN
fcis-26722	71	31			PROPN
fcis-26722	71	32	.	.	PUNCT
fcis-26722	72	1	the	the	DET
fcis-26722	72	2			PROPN
fcis-26722	72	3	-negative	-negative	ADJ
fcis-26722	72	4	region	region	NOUN
fcis-26722	72	5	of	of	ADP
fcis-26722	72	6	x	x	X
fcis-26722	72	7	:	:	PUNCT
fcis-26722	72	8	(	(	PUNCT
fcis-26722	72	9	)	)	PUNCT
fcis-26722	72	10	{	{	PUNCT
fcis-26722	72	11	/	/	SYM
fcis-26722	72	12	|	|	ADV
fcis-26722	72	13	(	(	PUNCT
fcis-26722	72	14	,	,	PUNCT
fcis-26722	72	15	)	)	PUNCT
fcis-26722	72	16	1	1	X
fcis-26722	72	17	}	}	PUNCT
fcis-26722	72	18	negr	negr	NOUN
fcis-26722	72	19	x	x	PUNCT
fcis-26722	72	20	e	e	NOUN
fcis-26722	72	21	u	u	NOUN
fcis-26722	72	22	r	r	NOUN
fcis-26722	72	23	c	c	NOUN
fcis-26722	72	24	e	e	NOUN
fcis-26722	72	25	x	x	PROPN
fcis-26722	72	26			VERB
fcis-26722	72	27			PROPN
fcis-26722	72	28			NUM
fcis-26722	72	29			PROPN
fcis-26722	72	30	.	.	PUNCT
fcis-26722	73	1	the	the	DET
fcis-26722	73	2			PROPN
fcis-26722	73	3	-accuracy	-accuracy	NOUN
fcis-26722	73	4	of	of	ADP
fcis-26722	73	5	x	x	X
fcis-26722	73	6	:	:	PUNCT
fcis-26722	73	7	(	(	PUNCT
fcis-26722	73	8	)	)	PUNCT
fcis-26722	73	9	(	(	PUNCT
fcis-26722	73	10	,	,	PUNCT
fcis-26722	73	11	,	,	PUNCT
fcis-26722	73	12	)	)	PUNCT
fcis-26722	73	13	(	(	PUNCT
fcis-26722	73	14	)	)	PUNCT
fcis-26722	73	15	card	card	NOUN
fcis-26722	73	16	r	r	NOUN
fcis-26722	73	17	x	x	SYM
fcis-26722	73	18	r	r	NOUN
fcis-26722	73	19	x	x	SYM
fcis-26722	73	20	card	card	NOUN
fcis-26722	73	21	r	r	NOUN
fcis-26722	73	22	x	x	NOUN
fcis-26722	73	23			PROPN
fcis-26722	73	24			PROPN
fcis-26722	73	25			X
fcis-26722	73	26			PROPN
fcis-26722	73	27			NUM
fcis-26722	73	28	(	(	PUNCT
fcis-26722	73	29	2	2	NUM
fcis-26722	73	30	)	)	PUNCT
fcis-26722	73	31	the	the	DET
fcis-26722	73	32			PROPN
fcis-26722	73	33	-roughness	-roughness	NOUN
fcis-26722	73	34	of	of	ADP
fcis-26722	73	35	x	x	X
fcis-26722	73	36	:	:	PUNCT
fcis-26722	73	37	(	(	PUNCT
fcis-26722	73	38	,	,	PUNCT
fcis-26722	73	39	,	,	PUNCT
fcis-26722	73	40	)	)	PUNCT
fcis-26722	73	41	1	1	NUM
fcis-26722	73	42	(	(	PUNCT
fcis-26722	73	43	,	,	PUNCT
fcis-26722	73	44	,	,	PUNCT
fcis-26722	73	45	)	)	PUNCT
fcis-26722	73	46	r	r	NOUN
fcis-26722	73	47	x	x	SYM
fcis-26722	73	48	r	r	NOUN
fcis-26722	73	49	x	x	NOUN
fcis-26722	73	50			NOUN
fcis-26722	73	51			NOUN
fcis-26722	73	52			VERB
fcis-26722	73	53			NOUN
fcis-26722	73	54	.	.	PUNCT
fcis-26722	74	1	it	it	PRON
fcis-26722	74	2	can	can	AUX
fcis-26722	74	3	be	be	AUX
fcis-26722	74	4	seen	see	VERB
fcis-26722	74	5	from	from	ADP
fcis-26722	74	6	definition	definition	NOUN
fcis-26722	74	7	4	4	NUM
fcis-26722	74	8	that	that	SCONJ
fcis-26722	74	9	when	when	SCONJ
fcis-26722	74	10	=	=	PRON
fcis-26722	74	11	0	0	NOUN
fcis-26722	74	12	,	,	PUNCT
fcis-26722	74	13	vprs	vprs	NOUN
fcis-26722	74	14	will	will	AUX
fcis-26722	74	15	evolve	evolve	VERB
fcis-26722	74	16	into	into	ADP
fcis-26722	74	17	pawlak	pawlak	ADJ
fcis-26722	74	18	rough	rough	ADJ
fcis-26722	74	19	set	set	NOUN
fcis-26722	74	20	,	,	PUNCT
fcis-26722	74	21	and	and	CCONJ
fcis-26722	74	22	theorem	theorem	VERB
fcis-26722	74	23	1	1	NUM
fcis-26722	74	24	can	can	AUX
fcis-26722	74	25	be	be	AUX
fcis-26722	74	26	obtained	obtain	VERB
fcis-26722	74	27	through	through	ADP
fcis-26722	74	28	the	the	DET
fcis-26722	74	29	definition	definition	NOUN
fcis-26722	74	30	.	.	PUNCT
fcis-26722	75	1	theorem	theorem	NOUN
fcis-26722	75	2	1	1	NUM
fcis-26722	75	3	.	.	PUNCT
fcis-26722	76	1	r	r	NOUN
fcis-26722	76	2	x	x	SYM
fcis-26722	76	3	rx	rx	PROPN
fcis-26722	76	4			PROPN
fcis-26722	76	5	,	,	PUNCT
fcis-26722	76	6	rx	rx	VERB
fcis-26722	76	7	r	r	NOUN
fcis-26722	76	8	x	x	PROPN
fcis-26722	76	9	,	,	PUNCT
fcis-26722	76	10	rbn	rbn	PROPN
fcis-26722	76	11	x	x	PROPN
fcis-26722	76	12	bnr	bnr	PROPN
fcis-26722	76	13	x	x	PROPN
fcis-26722	76	14	,	,	PUNCT
fcis-26722	76	15	rnegr	rnegr	NOUN
fcis-26722	76	16	x	x	X
fcis-26722	76	17	neg	neg	VERB
fcis-26722	76	18	x	x	PROPN
fcis-26722	76	19			PROPN
fcis-26722	76	20	.	.	PUNCT
fcis-26722	77	1	from	from	ADP
fcis-26722	77	2	theorem	theorem	ADJ
fcis-26722	77	3	1	1	NUM
fcis-26722	77	4	,	,	PUNCT
fcis-26722	77	5	it	it	PRON
fcis-26722	77	6	can	can	AUX
fcis-26722	77	7	be	be	AUX
fcis-26722	77	8	seen	see	VERB
fcis-26722	77	9	that	that	SCONJ
fcis-26722	77	10	the	the	DET
fcis-26722	77	11	quantitative	quantitative	ADJ
fcis-26722	77	12	relationships	relationship	NOUN
fcis-26722	77	13	between	between	ADP
fcis-26722	77	14			NOUN
fcis-26722	77	15	and	and	CCONJ
fcis-26722	77	16			NOUN
fcis-26722	77	17	of	of	ADP
fcis-26722	77	18	the	the	DET
fcis-26722	77	19	pawlak	pawlak	ADJ
fcis-26722	77	20	rough	rough	ADJ
fcis-26722	77	21	set	set	NOUN
fcis-26722	77	22	model	model	NOUN
fcis-26722	77	23	and	and	CCONJ
fcis-26722	77	24	the	the	DET
fcis-26722	77	25	vprs	vprs	NOUN
fcis-26722	77	26	model	model	NOUN
fcis-26722	77	27	are	be	AUX
fcis-26722	77	28	:	:	PUNCT
fcis-26722	77	29	(	(	PUNCT
fcis-26722	77	30	)	)	PUNCT
fcis-26722	77	31	(	(	PUNCT
fcis-26722	77	32	,	,	PUNCT
fcis-26722	77	33	,	,	PUNCT
fcis-26722	77	34	)	)	PUNCT
fcis-26722	77	35	r	r	NOUN
fcis-26722	77	36	x	x	SYM
fcis-26722	77	37	r	r	NOUN
fcis-26722	77	38	x	x	NOUN
fcis-26722	77	39			X
fcis-26722	77	40			PROPN
fcis-26722	77	41	,	,	PUNCT
fcis-26722	77	42	(	(	PUNCT
fcis-26722	77	43	,	,	PUNCT
fcis-26722	77	44	,	,	PUNCT
fcis-26722	77	45	)	)	PUNCT
fcis-26722	77	46	(	(	PUNCT
fcis-26722	77	47	)	)	PUNCT
fcis-26722	77	48	rr	rr	NOUN
fcis-26722	77	49	x	x	PUNCT
fcis-26722	77	50	x	x	PROPN
fcis-26722	77	51			PROPN
fcis-26722	77	52			NOUN
fcis-26722	77	53	(	(	PUNCT
fcis-26722	77	54	3	3	NUM
fcis-26722	77	55	)	)	PUNCT
fcis-26722	77	56	from	from	ADP
fcis-26722	77	57	definition	definition	NOUN
fcis-26722	77	58	4	4	NUM
fcis-26722	77	59	and	and	CCONJ
fcis-26722	77	60	theorem	theorem	VERB
fcis-26722	77	61	1	1	NUM
fcis-26722	77	62	,	,	PUNCT
fcis-26722	77	63	we	we	PRON
fcis-26722	77	64	know	know	VERB
fcis-26722	77	65	that	that	SCONJ
fcis-26722	77	66	the	the	DET
fcis-26722	77	67	classification	classification	NOUN
fcis-26722	77	68	error	error	NOUN
fcis-26722	77	69			NOUN
fcis-26722	77	70	is	be	AUX
fcis-26722	77	71	the	the	DET
fcis-26722	77	72	core	core	NOUN
fcis-26722	77	73	of	of	ADP
fcis-26722	77	74	the	the	DET
fcis-26722	77	75	upper	upper	ADJ
fcis-26722	77	76	and	and	CCONJ
fcis-26722	77	77	lower	low	ADJ
fcis-26722	77	78	approximation	approximation	NOUN
fcis-26722	77	79	sets	set	NOUN
fcis-26722	77	80	that	that	PRON
fcis-26722	77	81	define	define	VERB
fcis-26722	77	82	vprs	vprs	NOUN
fcis-26722	77	83	.	.	PUNCT
fcis-26722	78	1	when	when	SCONJ
fcis-26722	78	2			NOUN
fcis-26722	78	3	changes	change	VERB
fcis-26722	78	4	a	a	DET
fcis-26722	78	5	certain	certain	ADJ
fcis-26722	78	6	number	number	NOUN
fcis-26722	78	7	of	of	ADP
fcis-26722	78	8	relationships	relationship	NOUN
fcis-26722	78	9	,	,	PUNCT
fcis-26722	78	10	the	the	DET
fcis-26722	78	11	change	change	NOUN
fcis-26722	78	12	relationship	relationship	NOUN
fcis-26722	78	13	of	of	ADP
fcis-26722	78	14	each	each	DET
fcis-26722	78	15	amount	amount	NOUN
fcis-26722	78	16	of	of	ADP
fcis-26722	78	17	vprs	vprs	NOUN
fcis-26722	78	18	is	be	AUX
fcis-26722	78	19	shown	show	VERB
fcis-26722	78	20	in	in	ADP
fcis-26722	78	21	table	table	NOUN
fcis-26722	78	22	1	1	NUM
fcis-26722	78	23	.	.	PUNCT
fcis-26722	78	24	table	table	NOUN
fcis-26722	78	25	1	1	NUM
fcis-26722	78	26	.	.	PUNCT
fcis-26722	79	1	variations	variation	NOUN
fcis-26722	79	2	in	in	ADP
fcis-26722	79	3	vprs	vprs	NOUN
fcis-26722	79	4	caused	cause	VERB
fcis-26722	79	5	by	by	ADP
fcis-26722	79	6	changes	change	NOUN
fcis-26722	79	7	in	in	ADP
fcis-26722	79	8			PROPN
fcis-26722	79	9			PROPN
fcis-26722	79	10	(	(	PUNCT
fcis-26722	79	11	classification	classification	NOUN
fcis-26722	79	12	error	error	NOUN
fcis-26722	79	13	)	)	PUNCT
fcis-26722	79	14	r	r	NOUN
fcis-26722	79	15	x	x	PROPN
fcis-26722	79	16	(	(	PUNCT
fcis-26722	79	17	lower	lower	X
fcis-26722	79	18	appro	appro	ADJ
fcis-26722	79	19	ximation	ximation	NOUN
fcis-26722	79	20	set	set	NOUN
fcis-26722	79	21	)	)	PUNCT
fcis-26722	79	22	r	r	NOUN
fcis-26722	79	23	x	x	PROPN
fcis-26722	79	24	(	(	PUNCT
fcis-26722	79	25	upper	upper	ADJ
fcis-26722	79	26	appro	appro	ADJ
fcis-26722	79	27	ximation	ximation	NOUN
fcis-26722	79	28	set	set	PROPN
fcis-26722	79	29	)	)	PUNCT
fcis-26722	79	30	(	(	PUNCT
fcis-26722	79	31	,	,	PUNCT
fcis-26722	79	32	,	,	PUNCT
fcis-26722	79	33	)	)	PUNCT
fcis-26722	79	34	r	r	NOUN
fcis-26722	79	35	x	x	PROPN
fcis-26722	79	36			PROPN
fcis-26722	79	37	(	(	PUNCT
fcis-26722	79	38	accuracy	accuracy	NOUN
fcis-26722	79	39	)	)	PUNCT
fcis-26722	79	40	(	(	PUNCT
fcis-26722	79	41	,	,	PUNCT
fcis-26722	79	42	,	,	PUNCT
fcis-26722	79	43	)	)	PUNCT
fcis-26722	79	44	r	r	NOUN
fcis-26722	79	45	x	x	NOUN
fcis-26722	79	46			PROPN
fcis-26722	79	47	(	(	PUNCT
fcis-26722	79	48	roughness	roughness	NOUN
fcis-26722	79	49	)	)	PUNCT
fcis-26722	79	50	bnr	bnr	PROPN
fcis-26722	79	51	x	x	PROPN
fcis-26722	80	1	(	(	PUNCT
fcis-26722	80	2	boundary	boundary	ADJ
fcis-26722	80	3	region	region	NOUN
fcis-26722	80	4	)	)	PUNCT
fcis-26722	80	5	decrease	decrease	NOUN
fcis-26722	80	6	decrease	decrease	NOUN
fcis-26722	80	7	increase	increase	VERB
fcis-26722	80	8	decrease	decrease	NOUN
fcis-26722	80	9	increase	increase	VERB
fcis-26722	80	10	increase	increase	NOUN
fcis-26722	80	11	increase	increase	NOUN
fcis-26722	80	12	increase	increase	NOUN
fcis-26722	80	13	decrease	decrease	NOUN
fcis-26722	80	14	increase	increase	NOUN
fcis-26722	80	15	decrease	decrease	NOUN
fcis-26722	80	16	decrease	decrease	NOUN
fcis-26722	80	17	as	as	SCONJ
fcis-26722	80	18	can	can	AUX
fcis-26722	80	19	be	be	AUX
fcis-26722	80	20	seen	see	VERB
fcis-26722	80	21	from	from	ADP
fcis-26722	80	22	table	table	NOUN
fcis-26722	80	23	1	1	NUM
fcis-26722	80	24	,	,	PUNCT
fcis-26722	80	25			NOUN
fcis-26722	80	26	roughness	roughness	NOUN
fcis-26722	80	27	is	be	AUX
fcis-26722	80	28	used	use	VERB
fcis-26722	80	29	to	to	PART
fcis-26722	80	30	describe	describe	VERB
fcis-26722	80	31	the	the	DET
fcis-26722	80	32	inaccuracy	inaccuracy	NOUN
fcis-26722	80	33	of	of	ADP
fcis-26722	80	34	the	the	DET
fcis-26722	80	35	set	set	NOUN
fcis-26722	80	36	x	x	X
fcis-26722	80	37	.	.	PUNCT
fcis-26722	81	1	as	as	ADP
fcis-26722	81	2			NOUN
fcis-26722	81	3	increases	increase	NOUN
fcis-26722	81	4	,	,	PUNCT
fcis-26722	81	5	r	r	NOUN
fcis-26722	81	6	x	x	PROPN
fcis-26722	81	7	increases	increase	NOUN
fcis-26722	81	8	,	,	PUNCT
fcis-26722	81	9	r	r	NOUN
fcis-26722	81	10	x	x	PROPN
fcis-26722	81	11	decreases	decrease	VERB
fcis-26722	81	12	,	,	PUNCT
fcis-26722	81	13	and	and	CCONJ
fcis-26722	81	14	bnr	bnr	PROPN
fcis-26722	81	15	x	x	PROPN
fcis-26722	81	16	decreases	decrease	VERB
fcis-26722	81	17	.	.	PUNCT
fcis-26722	82	1	the	the	DET
fcis-26722	82	2	inaccuracy	inaccuracy	NOUN
fcis-26722	82	3	of	of	ADP
fcis-26722	82	4	rough	rough	ADJ
fcis-26722	82	5	sets	set	NOUN
fcis-26722	82	6	is	be	AUX
fcis-26722	82	7	caused	cause	VERB
fcis-26722	82	8	by	by	ADP
fcis-26722	82	9	the	the	DET
fcis-26722	82	10	presence	presence	NOUN
fcis-26722	82	11	of	of	ADP
fcis-26722	82	12	bnr	bnr	PROPN
fcis-26722	82	13	x	x	PROPN
fcis-26722	82	14	.	.	PUNCT
fcis-26722	83	1	the	the	DET
fcis-26722	83	2	smaller	small	ADJ
fcis-26722	83	3	bnr	bnr	PROPN
fcis-26722	83	4	x	x	PROPN
fcis-26722	83	5	is	be	AUX
fcis-26722	83	6	,	,	PUNCT
fcis-26722	83	7	the	the	PRON
fcis-26722	83	8	more	more	ADV
fcis-26722	83	9	accurate	accurate	ADJ
fcis-26722	83	10	the	the	DET
fcis-26722	83	11	objects	object	NOUN
fcis-26722	83	12	described	describe	VERB
fcis-26722	83	13	by	by	ADP
fcis-26722	83	14	the	the	DET
fcis-26722	83	15	rough	rough	ADJ
fcis-26722	83	16	set	set	NOUN
fcis-26722	83	17	are	be	AUX
fcis-26722	83	18	.	.	PUNCT
fcis-26722	84	1	according	accord	VERB
fcis-26722	84	2	to	to	ADP
fcis-26722	84	3	theorem	theorem	NOUN
fcis-26722	84	4	1	1	NUM
fcis-26722	84	5	,	,	PUNCT
fcis-26722	84	6	the	the	DET
fcis-26722	84	7	boundary	boundary	ADJ
fcis-26722	84	8	region	region	NOUN
fcis-26722	84	9	of	of	ADP
fcis-26722	84	10	the	the	DET
fcis-26722	84	11	pawlak	pawlak	ADJ
fcis-26722	84	12	rough	rough	ADJ
fcis-26722	84	13	set	set	NOUN
fcis-26722	84	14	model	model	NOUN
fcis-26722	84	15	is	be	AUX
fcis-26722	84	16	larger	large	ADJ
fcis-26722	84	17	than	than	ADP
fcis-26722	84	18	the	the	DET
fcis-26722	84	19	boundary	boundary	ADJ
fcis-26722	84	20	region	region	NOUN
fcis-26722	84	21	of	of	ADP
fcis-26722	84	22	the	the	DET
fcis-26722	84	23	vprs	vprs	NOUN
fcis-26722	84	24	model	model	NOUN
fcis-26722	84	25	,	,	PUNCT
fcis-26722	84	26	which	which	PRON
fcis-26722	84	27	indicates	indicate	VERB
fcis-26722	84	28	that	that	SCONJ
fcis-26722	84	29	vprs	vprs	NOUN
fcis-26722	84	30	can	can	AUX
fcis-26722	84	31	accurately	accurately	ADV
fcis-26722	84	32	describe	describe	VERB
fcis-26722	84	33	the	the	DET
fcis-26722	84	34	object	object	NOUN
fcis-26722	84	35	.	.	PUNCT
fcis-26722	85	1	let	let	VERB
fcis-26722	85	2	(	(	PUNCT
fcis-26722	85	3	,	,	PUNCT
fcis-26722	85	4	)	)	PUNCT
fcis-26722	85	5	{	{	PUNCT
fcis-26722	85	6	0	0	NUM
fcis-26722	85	7	0.5	0.5	NUM
fcis-26722	85	8	|	|	ADV
fcis-26722	85	9	(	(	PUNCT
fcis-26722	85	10	)	)	PUNCT
fcis-26722	85	11	}	}	PUNCT
fcis-26722	85	12	ndis	ndi	NOUN
fcis-26722	85	13	r	r	NOUN
fcis-26722	85	14	x	x	PUNCT
fcis-26722	85	15	bnr	bnr	NOUN
fcis-26722	85	16	x	x	PROPN
fcis-26722	85	17			PROPN
fcis-26722	85	18			PROPN
fcis-26722	85	19			VERB
fcis-26722	85	20			PROPN
fcis-26722	85	21	,	,	PUNCT
fcis-26722	85	22	then	then	ADV
fcis-26722	85	23	the	the	DET
fcis-26722	85	24	minimum	minimum	ADJ
fcis-26722	85	25	upper	upper	ADJ
fcis-26722	85	26	bound	bind	VERB
fcis-26722	85	27	of	of	ADP
fcis-26722	85	28	(	(	PUNCT
fcis-26722	85	29	,	,	PUNCT
fcis-26722	85	30	)	)	PUNCT
fcis-26722	85	31	ndis	ndis	NOUN
fcis-26722	86	1	r	r	NOUN
fcis-26722	86	2	x	x	NOUN
fcis-26722	86	3	is	be	AUX
fcis-26722	86	4	(	(	PUNCT
fcis-26722	86	5	,	,	PUNCT
fcis-26722	86	6	)	)	PUNCT
fcis-26722	86	7	sup	sup	NOUN
fcis-26722	86	8	(	(	PUNCT
fcis-26722	86	9	,	,	PUNCT
fcis-26722	86	10	)	)	PUNCT
fcis-26722	87	1	r	r	NOUN
fcis-26722	87	2	x	x	PUNCT
fcis-26722	87	3	ndis	ndis	NOUN
fcis-26722	87	4	r	r	NOUN
fcis-26722	87	5	x	x	NOUN
fcis-26722	88	1			NUM
fcis-26722	88	2	.	.	PUNCT
fcis-26722	89	1	theorem	theorem	ADJ
fcis-26722	89	2	2	2	NUM
fcis-26722	89	3	.	.	NOUN
fcis-26722	89	4	1	1	NUM
fcis-26722	89	5	2	2	NUM
fcis-26722	89	6	(	(	PUNCT
fcis-26722	89	7	,	,	PUNCT
fcis-26722	89	8	)	)	PUNCT
fcis-26722	89	9	max	max	PROPN
fcis-26722	89	10	(	(	PUNCT
fcis-26722	89	11	,	,	PUNCT
fcis-26722	89	12	)	)	PUNCT
fcis-26722	89	13	r	r	NOUN
fcis-26722	89	14	x	x	PUNCT
fcis-26722	89	15	m	m	VERB
fcis-26722	89	16	m	m	X
fcis-26722	89	17			NOUN
fcis-26722	89	18	,	,	PUNCT
fcis-26722	89	19	where	where	SCONJ
fcis-26722	89	20	1	1	NUM
fcis-26722	89	21	1	1	NUM
fcis-26722	89	22	min	min	NOUN
fcis-26722	89	23	{	{	PUNCT
fcis-26722	89	24	(	(	PUNCT
fcis-26722	89	25	,	,	PUNCT
fcis-26722	89	26	)	)	PUNCT
fcis-26722	90	1	|	|	ADV
fcis-26722	90	2	/	/	SYM
fcis-26722	90	3	,	,	PUNCT
fcis-26722	90	4	0.5	0.5	NUM
fcis-26722	90	5	(	(	PUNCT
fcis-26722	90	6	,	,	PUNCT
fcis-26722	90	7	)	)	PUNCT
fcis-26722	90	8	}	}	PUNCT
fcis-26722	90	9	m	m	VERB
fcis-26722	90	10	c	c	NOUN
fcis-26722	90	11	e	e	NOUN
fcis-26722	90	12	x	x	X
fcis-26722	90	13	e	e	NOUN
fcis-26722	90	14	u	u	NOUN
fcis-26722	90	15	r	r	NOUN
fcis-26722	90	16	c	c	NOUN
fcis-26722	90	17	e	e	X
fcis-26722	90	18	x	x	PROPN
fcis-26722	90	19			PROPN
fcis-26722	90	20			PROPN
fcis-26722	90	21			PROPN
fcis-26722	90	22	,	,	PUNCT
fcis-26722	90	23	2	2	NUM
fcis-26722	90	24	max	max	X
fcis-26722	90	25	{	{	PUNCT
fcis-26722	90	26	(	(	PUNCT
fcis-26722	90	27	,	,	PUNCT
fcis-26722	90	28	)	)	PUNCT
fcis-26722	90	29	|	|	ADV
fcis-26722	90	30	/	/	SYM
fcis-26722	90	31	,	,	PUNCT
fcis-26722	90	32	(	(	PUNCT
fcis-26722	90	33	,	,	PUNCT
fcis-26722	90	34	)	)	PUNCT
fcis-26722	90	35	0.5}m	0.5}m	NOUN
fcis-26722	91	1	c	c	NOUN
fcis-26722	91	2	e	e	NOUN
fcis-26722	91	3	x	x	PUNCT
fcis-26722	91	4	e	e	NOUN
fcis-26722	91	5	u	u	NOUN
fcis-26722	91	6	r	r	NOUN
fcis-26722	91	7	c	c	NOUN
fcis-26722	91	8	e	e	X
fcis-26722	91	9	x	x	PROPN
fcis-26722	91	10			PROPN
fcis-26722	91	11			PROPN
fcis-26722	91	12	.	.	PUNCT
fcis-26722	92	1	definition	definition	NOUN
fcis-26722	92	2	5	5	NUM
fcis-26722	92	3	.	.	PUNCT
fcis-26722	93	1	let	let	VERB
fcis-26722	93	2	(	(	PUNCT
fcis-26722	93	3	,	,	PUNCT
fcis-26722	93	4	,	,	PUNCT
fcis-26722	93	5	,	,	PUNCT
fcis-26722	93	6	)	)	PUNCT
fcis-26722	93	7	s	s	PART
fcis-26722	93	8	u	u	NOUN
fcis-26722	93	9	r	r	NOUN
fcis-26722	93	10	v	v	NUM
fcis-26722	93	11	f	f	NOUN
fcis-26722	93	12	be	be	AUX
fcis-26722	93	13	an	an	DET
fcis-26722	93	14	information	information	NOUN
fcis-26722	93	15	system	system	NOUN
fcis-26722	93	16	.	.	PUNCT
fcis-26722	94	1	p	p	NOUN
fcis-26722	94	2	and	and	CCONJ
fcis-26722	94	3	q	q	PROPN
fcis-26722	94	4	are	be	AUX
fcis-26722	94	5	condition	condition	NOUN
fcis-26722	94	6	attribute	attribute	NOUN
fcis-26722	94	7	set	set	VERB
fcis-26722	94	8	and	and	CCONJ
fcis-26722	94	9	decision	decision	NOUN
fcis-26722	94	10	attribute	attribute	NOUN
fcis-26722	94	11	set	set	NOUN
fcis-26722	94	12	,	,	PUNCT
fcis-26722	94	13	respectively	respectively	ADV
fcis-26722	94	14	,	,	PUNCT
fcis-26722	94	15	and	and	CCONJ
fcis-26722	94	16	,	,	PUNCT
fcis-26722	95	1	p	p	DET
fcis-26722	95	2	q	q	NOUN
fcis-26722	95	3	r	r	NOUN
fcis-26722	95	4	.	.	PUNCT
fcis-26722	96	1	(	(	PUNCT
fcis-26722	96	2	)	)	PUNCT
fcis-26722	96	3	,	,	PUNCT
fcis-26722	96	4	(	(	PUNCT
fcis-26722	96	5	)	)	PUNCT
fcis-26722	96	6	ind	ind	NOUN
fcis-26722	96	7	p	p	PROPN
fcis-26722	96	8	ind	ind	NOUN
fcis-26722	96	9	q	q	PROPN
fcis-26722	96	10	represents	represent	VERB
fcis-26722	96	11	two	two	NUM
fcis-26722	96	12	equivalent	equivalent	ADJ
fcis-26722	96	13	classifications	classification	NOUN
fcis-26722	96	14	determined	determine	VERB
fcis-26722	96	15	by	by	ADP
fcis-26722	96	16	,	,	PUNCT
fcis-26722	96	17	p	p	X
fcis-26722	96	18	q	q	NOUN
fcis-26722	96	19	.	.	PUNCT
fcis-26722	97	1	the	the	DET
fcis-26722	97	2	equivalent	equivalent	ADJ
fcis-26722	97	3	classification	classification	NOUN
fcis-26722	97	4	set	set	NOUN
fcis-26722	97	5	of	of	ADP
fcis-26722	97	6	the	the	DET
fcis-26722	97	7	attribute	attribute	NOUN
fcis-26722	97	8	p	p	NOUN
fcis-26722	97	9	is	be	AUX
fcis-26722	97	10	called	call	VERB
fcis-26722	97	11	a	a	DET
fcis-26722	97	12	condition	condition	NOUN
fcis-26722	97	13	class	class	NOUN
fcis-26722	97	14	,	,	PUNCT
fcis-26722	97	15	and	and	CCONJ
fcis-26722	97	16	it	it	PRON
fcis-26722	97	17	is	be	AUX
fcis-26722	97	18	represented	represent	VERB
fcis-26722	97	19	by	by	ADP
fcis-26722	97	20	/u	/u	DET
fcis-26722	97	21	p	p	NOUN
fcis-26722	97	22	.	.	PUNCT
fcis-26722	98	1	the	the	DET
fcis-26722	98	2	equivalent	equivalent	ADJ
fcis-26722	98	3	classification	classification	NOUN
fcis-26722	98	4	set	set	NOUN
fcis-26722	98	5	of	of	ADP
fcis-26722	98	6	the	the	DET
fcis-26722	98	7	attribute	attribute	NOUN
fcis-26722	98	8	q	q	PUNCT
fcis-26722	98	9	is	be	AUX
fcis-26722	98	10	called	call	VERB
fcis-26722	98	11	a	a	DET
fcis-26722	98	12	decision	decision	NOUN
fcis-26722	98	13	class	class	NOUN
fcis-26722	98	14	,	,	PUNCT
fcis-26722	98	15	and	and	CCONJ
fcis-26722	98	16	it	it	PRON
fcis-26722	98	17	is	be	AUX
fcis-26722	98	18	represented	represent	VERB
fcis-26722	98	19	by	by	ADP
fcis-26722	98	20	/u	/u	PRON
fcis-26722	98	21	q	q	PROPN
fcis-26722	98	22	.	.	PUNCT
fcis-26722	99	1	the	the	DET
fcis-26722	99	2			PROPN
fcis-26722	99	3	dependency	dependency	NOUN
fcis-26722	99	4	of	of	ADP
fcis-26722	99	5	q	q	NOUN
fcis-26722	99	6	and	and	CCONJ
fcis-26722	99	7	p	p	NOUN
fcis-26722	99	8	is	be	AUX
fcis-26722	99	9	:	:	PUNCT
fcis-26722	99	10	(	(	PUNCT
fcis-26722	99	11	,	,	PUNCT
fcis-26722	99	12	,	,	PUNCT
fcis-26722	99	13	)	)	PUNCT
fcis-26722	99	14	(	(	PUNCT
fcis-26722	99	15	(	(	PUNCT
fcis-26722	99	16	,	,	PUNCT
fcis-26722	99	17	,	,	PUNCT
fcis-26722	99	18	)	)	PUNCT
fcis-26722	99	19	)	)	PUNCT
fcis-26722	100	1	(	(	PUNCT
fcis-26722	100	2	)	)	PUNCT
fcis-26722	100	3	p	p	PRON
fcis-26722	100	4	q	q	NOUN
fcis-26722	100	5	card	card	NOUN
fcis-26722	100	6	pos	pos	NOUN
fcis-26722	100	7	p	p	NOUN
fcis-26722	100	8	q	q	NOUN
fcis-26722	100	9	card	card	NOUN
fcis-26722	100	10	u	u	ADP
fcis-26722	100	11			PROPN
fcis-26722	100	12			NOUN
fcis-26722	100	13	(	(	PUNCT
fcis-26722	100	14	4	4	NUM
fcis-26722	100	15	)	)	PUNCT
fcis-26722	101	1	where	where	SCONJ
fcis-26722	101	2	/	/	SYM
fcis-26722	101	3	(	(	PUNCT
fcis-26722	101	4	,	,	PUNCT
fcis-26722	101	5	,	,	PUNCT
fcis-26722	101	6	)	)	PUNCT
fcis-26722	101	7	(	(	PUNCT
fcis-26722	101	8	)	)	PUNCT
fcis-26722	101	9	y	y	PROPN
fcis-26722	101	10	u	u	PROPN
fcis-26722	101	11	qpos	qpos	NOUN
fcis-26722	101	12	p	p	X
fcis-26722	101	13	q	q	PROPN
fcis-26722	101	14	ind	ind	NOUN
fcis-26722	101	15	p	p	PROPN
fcis-26722	101	16	y	y	PROPN
fcis-26722	101	17			PROPN
fcis-26722	101	18			PROPN
fcis-26722	101	19			NOUN
fcis-26722	101	20			ADJ
fcis-26722	101	21	.	.	PUNCT
fcis-26722	102	1	2.2	2.2	NUM
fcis-26722	102	2	.	.	PUNCT
fcis-26722	102	3	particle	particle	NOUN
fcis-26722	102	4	swarm	swarm	NOUN
fcis-26722	102	5	optimization	optimization	NOUN
fcis-26722	102	6	the	the	DET
fcis-26722	102	7	idea	idea	NOUN
fcis-26722	102	8	of	of	ADP
fcis-26722	102	9	particle	particle	NOUN
fcis-26722	102	10	swarm	swarm	NOUN
fcis-26722	102	11	optimization	optimization	NOUN
fcis-26722	102	12	(	(	PUNCT
fcis-26722	102	13	pso	pso	NOUN
fcis-26722	102	14	)	)	PUNCT
fcis-26722	102	15	comes	come	VERB
fcis-26722	102	16	from	from	ADP
fcis-26722	102	17	the	the	DET
fcis-26722	102	18	research	research	NOUN
fcis-26722	102	19	of	of	ADP
fcis-26722	102	20	bird	bird	NOUN
fcis-26722	102	21	foraging	forage	VERB
fcis-26722	102	22	behavior	behavior	NOUN
fcis-26722	102	23	.	.	PUNCT
fcis-26722	103	1	their	their	PRON
fcis-26722	103	2	way	way	NOUN
fcis-26722	103	3	of	of	ADP
fcis-26722	103	4	foraging	foraging	NOUN
fcis-26722	103	5	is	be	AUX
fcis-26722	103	6	done	do	VERB
fcis-26722	103	7	by	by	ADP
fcis-26722	103	8	cooperating	cooperate	VERB
fcis-26722	103	9	with	with	ADP
fcis-26722	103	10	each	each	DET
fcis-26722	103	11	other	other	ADJ
fcis-26722	103	12	.	.	PUNCT
fcis-26722	104	1	similarly	similarly	ADV
fcis-26722	104	2	,	,	PUNCT
fcis-26722	104	3	in	in	ADP
fcis-26722	104	4	the	the	DET
fcis-26722	104	5	practical	practical	ADJ
fcis-26722	104	6	application	application	NOUN
fcis-26722	104	7	,	,	PUNCT
fcis-26722	104	8	the	the	DET
fcis-26722	104	9	algorithm	algorithm	NOUN
fcis-26722	104	10	obtains	obtain	VERB
fcis-26722	104	11	the	the	DET
fcis-26722	104	12	individual	individual	ADJ
fcis-26722	104	13	optimal	optimal	ADJ
fcis-26722	104	14	solution	solution	NOUN
fcis-26722	104	15	and	and	CCONJ
fcis-26722	104	16	local	local	ADJ
fcis-26722	104	17	optimal	optimal	ADJ
fcis-26722	104	18	solution	solution	NOUN
fcis-26722	104	19	through	through	ADP
fcis-26722	104	20	continuous	continuous	ADJ
fcis-26722	104	21	iteration	iteration	NOUN
fcis-26722	104	22	,	,	PUNCT
fcis-26722	104	23	and	and	CCONJ
fcis-26722	104	24	finally	finally	ADV
fcis-26722	104	25	obtains	obtain	VERB
fcis-26722	104	26	the	the	DET
fcis-26722	104	27	global	global	ADJ
fcis-26722	104	28	optimal	optimal	ADJ
fcis-26722	104	29	solution	solution	NOUN
fcis-26722	104	30	[	[	X
fcis-26722	104	31	8	8	NUM
fcis-26722	104	32	]	]	PUNCT
fcis-26722	104	33	.	.	PUNCT
fcis-26722	105	1	suppose	suppose	VERB
fcis-26722	105	2	there	there	PRON
fcis-26722	105	3	is	be	VERB
fcis-26722	105	4	a	a	DET
fcis-26722	105	5	d	d	PROPN
fcis-26722	105	6	-dimensional	-dimensional	ADJ
fcis-26722	105	7	target	target	NOUN
fcis-26722	105	8	search	search	NOUN
fcis-26722	105	9	space	space	NOUN
fcis-26722	105	10	with	with	ADP
fcis-26722	105	11	a	a	DET
fcis-26722	105	12	group	group	NOUN
fcis-26722	105	13	of	of	ADP
fcis-26722	105	14	n	n	DET
fcis-26722	105	15	particles	particle	NOUN
fcis-26722	105	16	.	.	PUNCT
fcis-26722	106	1	the	the	DET
fcis-26722	106	2	i	i	PROPN
fcis-26722	106	3	th	th	PROPN
fcis-26722	106	4	particle	particle	NOUN
fcis-26722	106	5	is	be	AUX
fcis-26722	106	6	represented	represent	VERB
fcis-26722	106	7	as	as	ADP
fcis-26722	106	8	a	a	DET
fcis-26722	106	9	n	n	CCONJ
fcis-26722	106	10	-dimensional	-dimensional	ADJ
fcis-26722	106	11	vector	vector	NOUN
fcis-26722	106	12	1	1	NUM
fcis-26722	106	13	2	2	NUM
fcis-26722	106	14	{	{	PUNCT
fcis-26722	106	15	,	,	PUNCT
fcis-26722	106	16	,	,	PUNCT
fcis-26722	106	17	,	,	PUNCT
fcis-26722	106	18	}	}	PUNCT
fcis-26722	106	19	i	i	PRON
fcis-26722	107	1	i	i	PRON
fcis-26722	108	1	i	i	PRON
fcis-26722	108	2	idx	idx	VERB
fcis-26722	108	3	x	x	PUNCT
fcis-26722	108	4	x	x	X
fcis-26722	108	5	x	x	PROPN
fcis-26722	108	6			NOUN
fcis-26722	108	7	,	,	PUNCT
fcis-26722	108	8	and	and	CCONJ
fcis-26722	108	9	the	the	DET
fcis-26722	108	10	position	position	NOUN
fcis-26722	108	11	of	of	ADP
fcis-26722	108	12	each	each	DET
fcis-26722	108	13	particle	particle	NOUN
fcis-26722	108	14	is	be	AUX
fcis-26722	108	15	a	a	DET
fcis-26722	108	16	potential	potential	ADJ
fcis-26722	108	17	solution	solution	NOUN
fcis-26722	108	18	.	.	PUNCT
fcis-26722	109	1	when	when	SCONJ
fcis-26722	109	2	ix	ix	ADV
fcis-26722	109	3	is	be	AUX
fcis-26722	109	4	brought	bring	VERB
fcis-26722	109	5	into	into	ADP
fcis-26722	109	6	a	a	DET
fcis-26722	109	7	fitness	fitness	NOUN
fcis-26722	109	8	function	function	NOUN
fcis-26722	109	9	,	,	PUNCT
fcis-26722	109	10	a	a	DET
fcis-26722	109	11	corresponding	correspond	VERB
fcis-26722	109	12	function	function	NOUN
fcis-26722	109	13	value	value	NOUN
fcis-26722	109	14	can	can	AUX
fcis-26722	109	15	be	be	AUX
fcis-26722	109	16	obtained	obtain	VERB
fcis-26722	109	17	,	,	PUNCT
fcis-26722	109	18	and	and	CCONJ
fcis-26722	109	19	the	the	DET
fcis-26722	109	20	position	position	NOUN
fcis-26722	109	21	of	of	ADP
fcis-26722	109	22	the	the	DET
fcis-26722	109	23	particle	particle	NOUN
fcis-26722	109	24	is	be	AUX
fcis-26722	109	25	obtained	obtain	VERB
fcis-26722	109	26	according	accord	VERB
fcis-26722	109	27	to	to	ADP
fcis-26722	109	28	the	the	DET
fcis-26722	109	29	obtained	obtain	VERB
fcis-26722	109	30	function	function	NOUN
fcis-26722	109	31	value	value	NOUN
fcis-26722	109	32	,	,	PUNCT
fcis-26722	109	33	and	and	CCONJ
fcis-26722	109	34	whether	whether	SCONJ
fcis-26722	109	35	the	the	DET
fcis-26722	109	36	optimal	optimal	ADJ
fcis-26722	109	37	solution	solution	NOUN
fcis-26722	109	38	is	be	AUX
fcis-26722	109	39	determined	determine	VERB
fcis-26722	109	40	.	.	PUNCT
fcis-26722	110	1	the	the	DET
fcis-26722	110	2	velocity	velocity	NOUN
fcis-26722	110	3	of	of	ADP
fcis-26722	110	4	the	the	DET
fcis-26722	110	5	i	i	PROPN
fcis-26722	110	6	th	th	PROPN
fcis-26722	110	7	particle	particle	NOUN
fcis-26722	110	8	is	be	AUX
fcis-26722	110	9	also	also	ADV
fcis-26722	110	10	an	an	DET
fcis-26722	110	11	d	d	ADJ
fcis-26722	110	12	dimensional	dimensional	ADJ
fcis-26722	110	13	vector	vector	NOUN
fcis-26722	110	14	,	,	PUNCT
fcis-26722	110	15	expressed	express	VERB
fcis-26722	110	16	as	as	ADP
fcis-26722	110	17	:	:	PUNCT
fcis-26722	110	18	1	1	NUM
fcis-26722	110	19	2	2	NUM
fcis-26722	110	20	{	{	PUNCT
fcis-26722	110	21	,	,	PUNCT
fcis-26722	110	22	,	,	PUNCT
fcis-26722	110	23	,	,	PUNCT
fcis-26722	110	24	}	}	PUNCT
fcis-26722	110	25	i	i	PRON
fcis-26722	111	1	i	i	PRON
fcis-26722	111	2	i	i	PRON
fcis-26722	111	3	idv	idv	VERB
fcis-26722	111	4	v	v	ADP
fcis-26722	111	5	v	v	ADP
fcis-26722	111	6	v	v	ADJ
fcis-26722	111	7			NOUN
fcis-26722	111	8	,	,	PUNCT
fcis-26722	111	9	1,2	1,2	NUM
fcis-26722	111	10	,	,	PUNCT
fcis-26722	111	11	,	,	PUNCT
fcis-26722	112	1	i	i	PROPN
fcis-26722	112	2	n	n	NOUN
fcis-26722	112	3			NOUN
fcis-26722	112	4	.	.	PUNCT
fcis-26722	113	1	when	when	SCONJ
fcis-26722	113	2	the	the	DET
fcis-26722	113	3	i	i	PROPN
fcis-26722	113	4	th	th	X
fcis-26722	113	5	particle	particle	NOUN
fcis-26722	113	6	has	have	AUX
fcis-26722	113	7	searched	search	VERB
fcis-26722	113	8	for	for	ADP
fcis-26722	113	9	the	the	DET
fcis-26722	113	10	best	good	ADJ
fcis-26722	113	11	position	position	NOUN
fcis-26722	113	12	,	,	PUNCT
fcis-26722	113	13	which	which	PRON
fcis-26722	113	14	is	be	AUX
fcis-26722	113	15	the	the	DET
fcis-26722	113	16	individual	individual	ADJ
fcis-26722	113	17	optimal	optimal	ADJ
fcis-26722	113	18	solution	solution	NOUN
fcis-26722	113	19	1	1	NUM
fcis-26722	113	20	2	2	NUM
fcis-26722	113	21	{	{	PUNCT
fcis-26722	113	22	,	,	PUNCT
fcis-26722	113	23	,	,	PUNCT
fcis-26722	113	24	,	,	PUNCT
fcis-26722	113	25	}	}	PUNCT
fcis-26722	113	26	i	i	PRON
fcis-26722	114	1	i	i	PRON
fcis-26722	114	2	i	i	PRON
fcis-26722	114	3	idpbest	idpbest	VERB
fcis-26722	114	4	p	p	X
fcis-26722	114	5	p	p	X
fcis-26722	114	6	p	p	NOUN
fcis-26722	114	7			NOUN
fcis-26722	114	8	so	so	ADV
fcis-26722	114	9	far	far	ADV
fcis-26722	114	10	,	,	PUNCT
fcis-26722	114	11	then	then	ADV
fcis-26722	114	12	the	the	DET
fcis-26722	114	13	best	good	ADJ
fcis-26722	114	14	position	position	NOUN
fcis-26722	114	15	(	(	PUNCT
fcis-26722	114	16	global	global	ADJ
fcis-26722	114	17	optimal	optimal	ADJ
fcis-26722	114	18	solution	solution	NOUN
fcis-26722	114	19	)	)	PUNCT
fcis-26722	114	20	for	for	ADP
fcis-26722	114	21	this	this	DET
fcis-26722	114	22	particle	particle	NOUN
fcis-26722	114	23	group	group	NOUN
fcis-26722	114	24	is	be	AUX
fcis-26722	114	25	searched	search	VERB
fcis-26722	114	26	as	as	ADP
fcis-26722	114	27	99	99	NUM
fcis-26722	114	28	1	1	NUM
fcis-26722	114	29	2	2	NUM
fcis-26722	114	30	{	{	PUNCT
fcis-26722	114	31	,	,	PUNCT
fcis-26722	114	32	,	,	PUNCT
fcis-26722	114	33	,	,	PUNCT
fcis-26722	114	34	}	}	PUNCT
fcis-26722	114	35	dgbest	dgbest	NOUN
fcis-26722	114	36	g	g	PROPN
fcis-26722	114	37	g	g	PROPN
fcis-26722	114	38	g	g	PROPN
fcis-26722	114	39			NOUN
fcis-26722	115	1	[	[	X
fcis-26722	115	2	9	9	NUM
fcis-26722	115	3	]	]	PUNCT
fcis-26722	115	4	.	.	PUNCT
fcis-26722	116	1	the	the	DET
fcis-26722	116	2	velocity	velocity	NOUN
fcis-26722	116	3	and	and	CCONJ
fcis-26722	116	4	position	position	NOUN
fcis-26722	116	5	update	update	NOUN
fcis-26722	116	6	formula	formula	NOUN
fcis-26722	116	7	for	for	ADP
fcis-26722	116	8	pso	pso	NOUN
fcis-26722	116	9	is	be	AUX
fcis-26722	116	10	:	:	PUNCT
fcis-26722	116	11	1	1	NUM
fcis-26722	116	12	1	1	NUM
fcis-26722	116	13	1	1	NUM
fcis-26722	116	14	2	2	NUM
fcis-26722	116	15	2	2	NUM
fcis-26722	116	16	(	(	PUNCT
fcis-26722	116	17	)	)	PUNCT
fcis-26722	116	18	(	(	PUNCT
fcis-26722	116	19	)	)	PUNCT
fcis-26722	116	20	k	k	X
fcis-26722	117	1	k	k	PROPN
fcis-26722	117	2	k	k	PROPN
fcis-26722	118	1	k	k	PROPN
fcis-26722	119	1	k	k	PROPN
fcis-26722	120	1	k	k	PROPN
fcis-26722	120	2	k	k	PROPN
fcis-26722	121	1	k	k	PROPN
fcis-26722	121	2	i	i	PROPN
fcis-26722	122	1	d	d	PROPN
fcis-26722	122	2	i	i	PROPN
fcis-26722	122	3	d	d	PROPN
fcis-26722	122	4	i	i	PROPN
fcis-26722	122	5	d	d	PROPN
fcis-26722	122	6	i	i	PROPN
fcis-26722	122	7	d	d	PROPN
fcis-26722	123	1	d	d	PROPN
fcis-26722	123	2	idv	idv	PROPN
fcis-26722	123	3	v	v	NOUN
fcis-26722	123	4	c	c	NOUN
fcis-26722	123	5	rand	rand	NOUN
fcis-26722	123	6	pbest	pb	ADJ
fcis-26722	123	7	x	x	SYM
fcis-26722	123	8	c	c	NOUN
fcis-26722	123	9	rand	rand	NOUN
fcis-26722	123	10	gbest	gbest	VERB
fcis-26722	123	11	x	x	PUNCT
fcis-26722	124	1			PROPN
fcis-26722	124	2			PUNCT
fcis-26722	124	3			PROPN
fcis-26722	124	4			VERB
fcis-26722	124	5			NOUN
fcis-26722	124	6	(	(	PUNCT
fcis-26722	124	7	5	5	NUM
fcis-26722	124	8	)	)	PUNCT
fcis-26722	124	9	1k	1k	NOUN
fcis-26722	124	10	k	k	PROPN
fcis-26722	124	11	k	k	PROPN
fcis-26722	125	1	i	i	PROPN
fcis-26722	125	2	d	d	PROPN
fcis-26722	125	3	i	i	PROPN
fcis-26722	125	4	d	d	PROPN
fcis-26722	125	5	idx	idx	NOUN
fcis-26722	125	6	x	x	PUNCT
fcis-26722	125	7	v	v	PRON
fcis-26722	125	8			NUM
fcis-26722	125	9			PUNCT
fcis-26722	125	10	(	(	PUNCT
fcis-26722	125	11	6	6	NUM
fcis-26722	125	12	)	)	PUNCT
fcis-26722	125	13	the	the	DET
fcis-26722	125	14	weight	weight	NOUN
fcis-26722	125	15			X
fcis-26722	125	16	has	have	VERB
fcis-26722	125	17	a	a	DET
fcis-26722	125	18	great	great	ADJ
fcis-26722	125	19	influence	influence	NOUN
fcis-26722	125	20	on	on	ADP
fcis-26722	125	21	the	the	DET
fcis-26722	125	22	global	global	ADJ
fcis-26722	125	23	search	search	NOUN
fcis-26722	125	24	capability	capability	NOUN
fcis-26722	125	25	of	of	ADP
fcis-26722	125	26	the	the	DET
fcis-26722	125	27	pso	pso	NOUN
fcis-26722	125	28	.	.	PUNCT
fcis-26722	126	1	a	a	DET
fcis-26722	126	2	smaller	small	ADJ
fcis-26722	126	3			X
fcis-26722	126	4	can	can	AUX
fcis-26722	126	5	enhance	enhance	VERB
fcis-26722	126	6	the	the	DET
fcis-26722	126	7	local	local	ADJ
fcis-26722	126	8	search	search	NOUN
fcis-26722	126	9	capability	capability	NOUN
fcis-26722	126	10	of	of	ADP
fcis-26722	126	11	the	the	DET
fcis-26722	126	12	pso	pso	NOUN
fcis-26722	126	13	.	.	PUNCT
fcis-26722	127	1	the	the	DET
fcis-26722	127	2	selection	selection	NOUN
fcis-26722	127	3	of	of	ADP
fcis-26722	127	4	the	the	DET
fcis-26722	127	5			PROPN
fcis-26722	127	6	value	value	NOUN
fcis-26722	127	7	needs	need	VERB
fcis-26722	127	8	to	to	PART
fcis-26722	127	9	be	be	AUX
fcis-26722	127	10	set	set	VERB
fcis-26722	127	11	according	accord	VERB
fcis-26722	127	12	to	to	ADP
fcis-26722	127	13	the	the	DET
fcis-26722	127	14	actual	actual	ADJ
fcis-26722	127	15	situation	situation	NOUN
fcis-26722	127	16	.	.	PUNCT
fcis-26722	128	1	k	k	PROPN
fcis-26722	128	2	idv	idv	PROPN
fcis-26722	128	3	is	be	AUX
fcis-26722	128	4	the	the	DET
fcis-26722	128	5	velocity	velocity	NOUN
fcis-26722	128	6	of	of	ADP
fcis-26722	128	7	the	the	DET
fcis-26722	128	8	d	d	PROPN
fcis-26722	128	9	th	th	X
fcis-26722	128	10	dimension	dimension	NOUN
fcis-26722	128	11	of	of	ADP
fcis-26722	128	12	the	the	DET
fcis-26722	128	13	i	i	PROPN
fcis-26722	128	14	th	th	X
fcis-26722	128	15	particle	particle	NOUN
fcis-26722	128	16	iterating	iterate	VERB
fcis-26722	128	17	k	k	PROPN
fcis-26722	128	18	times	time	NOUN
fcis-26722	128	19	.	.	PUNCT
fcis-26722	129	1	1c	1c	NOUN
fcis-26722	129	2	and	and	CCONJ
fcis-26722	129	3	2c	2c	NOUN
fcis-26722	129	4	are	be	AUX
fcis-26722	129	5	learning	learn	VERB
fcis-26722	129	6	factors	factor	NOUN
fcis-26722	129	7	that	that	PRON
fcis-26722	129	8	adjust	adjust	VERB
fcis-26722	129	9	the	the	DET
fcis-26722	129	10	maximum	maximum	ADJ
fcis-26722	129	11	step	step	NOUN
fcis-26722	129	12	size	size	NOUN
fcis-26722	129	13	of	of	ADP
fcis-26722	129	14	the	the	DET
fcis-26722	129	15	gbestp	gbestp	NOUN
fcis-26722	129	16	and	and	CCONJ
fcis-26722	129	17	ibestp	ibestp	ADJ
fcis-26722	129	18	flight	flight	NOUN
fcis-26722	129	19	directions	direction	NOUN
fcis-26722	129	20	,	,	PUNCT
fcis-26722	129	21	respectively	respectively	ADV
fcis-26722	129	22	[	[	X
fcis-26722	129	23	10	10	NUM
fcis-26722	129	24	]	]	PUNCT
fcis-26722	129	25	.	.	PUNCT
fcis-26722	130	1	1rand	1rand	NUM
fcis-26722	130	2	and	and	CCONJ
fcis-26722	130	3	2rand	2rand	NUM
fcis-26722	130	4	are	be	AUX
fcis-26722	130	5	random	random	ADJ
fcis-26722	130	6	numbers	number	NOUN
fcis-26722	130	7	between	between	ADP
fcis-26722	130	8	[	[	X
fcis-26722	130	9	0,1	0,1	NUM
fcis-26722	130	10	]	]	PUNCT
fcis-26722	130	11	.	.	PUNCT
fcis-26722	131	1	k	k	PROPN
fcis-26722	131	2	idx	idx	PROPN
fcis-26722	131	3	is	be	AUX
fcis-26722	131	4	the	the	DET
fcis-26722	131	5	position	position	NOUN
fcis-26722	131	6	of	of	ADP
fcis-26722	131	7	the	the	DET
fcis-26722	131	8	d	d	PROPN
fcis-26722	131	9	th	th	X
fcis-26722	131	10	dimension	dimension	NOUN
fcis-26722	131	11	of	of	ADP
fcis-26722	131	12	the	the	DET
fcis-26722	131	13	i	i	PROPN
fcis-26722	131	14	th	th	X
fcis-26722	131	15	particle	particle	NOUN
fcis-26722	131	16	iteration	iteration	PROPN
fcis-26722	131	17	k	k	PROPN
fcis-26722	131	18	times	times	PROPN
fcis-26722	131	19	.	.	PUNCT
fcis-26722	132	1	idpbest	idpbest	PROPN
fcis-26722	132	2	is	be	AUX
fcis-26722	132	3	the	the	DET
fcis-26722	132	4	individual	individual	ADJ
fcis-26722	132	5	optimal	optimal	ADJ
fcis-26722	132	6	solution	solution	NOUN
fcis-26722	132	7	of	of	ADP
fcis-26722	132	8	the	the	DET
fcis-26722	132	9	i	i	PROPN
fcis-26722	132	10	th	th	X
fcis-26722	132	11	particle	particle	NOUN
fcis-26722	132	12	in	in	ADP
fcis-26722	132	13	the	the	DET
fcis-26722	132	14	d	d	X
fcis-26722	132	15	th	th	X
fcis-26722	132	16	dimension	dimension	NOUN
fcis-26722	132	17	.	.	PUNCT
fcis-26722	133	1	dgbest	dgbest	PROPN
fcis-26722	133	2	is	be	AUX
fcis-26722	133	3	the	the	DET
fcis-26722	133	4	global	global	ADJ
fcis-26722	133	5	optimal	optimal	ADJ
fcis-26722	133	6	solution	solution	NOUN
fcis-26722	133	7	of	of	ADP
fcis-26722	133	8	the	the	DET
fcis-26722	133	9	entire	entire	ADJ
fcis-26722	133	10	population	population	NOUN
fcis-26722	133	11	in	in	ADP
fcis-26722	133	12	the	the	DET
fcis-26722	133	13	d	d	X
fcis-26722	133	14	th	th	X
fcis-26722	133	15	dimension	dimension	NOUN
fcis-26722	133	16	[	[	X
fcis-26722	133	17	11	11	NUM
fcis-26722	133	18	]	]	PUNCT
fcis-26722	133	19	.	.	PUNCT
fcis-26722	134	1	in	in	ADP
fcis-26722	134	2	order	order	NOUN
fcis-26722	134	3	to	to	PART
fcis-26722	134	4	keep	keep	VERB
fcis-26722	134	5	the	the	DET
fcis-26722	134	6	particles	particle	NOUN
fcis-26722	134	7	in	in	ADP
fcis-26722	134	8	the	the	DET
fcis-26722	134	9	search	search	NOUN
fcis-26722	134	10	space	space	NOUN
fcis-26722	134	11	,	,	PUNCT
fcis-26722	134	12	the	the	DET
fcis-26722	134	13	velocity	velocity	NOUN
fcis-26722	134	14	of	of	ADP
fcis-26722	134	15	each	each	DET
fcis-26722	134	16	dimension	dimension	NOUN
fcis-26722	134	17	of	of	ADP
fcis-26722	134	18	the	the	DET
fcis-26722	134	19	particles	particle	NOUN
fcis-26722	134	20	is	be	AUX
fcis-26722	134	21	set	set	VERB
fcis-26722	134	22	between	between	ADP
fcis-26722	134	23	max	max	PROPN
fcis-26722	134	24	max	max	PROPN
fcis-26722	134	25	[	[	PUNCT
fcis-26722	134	26	,	,	PUNCT
fcis-26722	134	27	]	]	X
fcis-26722	134	28	d	d	X
fcis-26722	134	29	dv	dv	PROPN
fcis-26722	134	30	v	v	NOUN
fcis-26722	134	31	.	.	PUNCT
fcis-26722	135	1	if	if	SCONJ
fcis-26722	135	2	the	the	DET
fcis-26722	135	3	position	position	NOUN
fcis-26722	135	4	interval	interval	NOUN
fcis-26722	135	5	of	of	ADP
fcis-26722	135	6	the	the	DET
fcis-26722	135	7	d	d	PROPN
fcis-26722	135	8	th	th	X
fcis-26722	135	9	dimension	dimension	NOUN
fcis-26722	135	10	of	of	ADP
fcis-26722	135	11	the	the	DET
fcis-26722	135	12	search	search	NOUN
fcis-26722	135	13	space	space	NOUN
fcis-26722	135	14	is	be	AUX
fcis-26722	135	15	set	set	VERB
fcis-26722	135	16	to	to	ADP
fcis-26722	135	17	max	max	PROPN
fcis-26722	135	18	max	max	PROPN
fcis-26722	135	19	[	[	PUNCT
fcis-26722	135	20	,	,	PUNCT
fcis-26722	135	21	]	]	X
fcis-26722	135	22	d	d	X
fcis-26722	135	23	dx	dx	PROPN
fcis-26722	135	24	x	x	PROPN
fcis-26722	135	25	,	,	PUNCT
fcis-26722	135	26	it	it	PRON
fcis-26722	135	27	is	be	AUX
fcis-26722	135	28	generally	generally	ADV
fcis-26722	135	29	max	max	PROPN
fcis-26722	135	30	maxd	maxd	PROPN
fcis-26722	135	31	dv	dv	PROPN
fcis-26722	135	32	kx	kx	PROPN
fcis-26722	135	33	(	(	PUNCT
fcis-26722	135	34	0.1	0.1	NUM
fcis-26722	135	35	1.0k	1.0k	NOUN
fcis-26722	135	36			PROPN
fcis-26722	135	37	)	)	PUNCT
fcis-26722	135	38	,	,	PUNCT
fcis-26722	135	39	and	and	CCONJ
fcis-26722	135	40	each	each	DET
fcis-26722	135	41	dimension	dimension	NOUN
fcis-26722	135	42	is	be	AUX
fcis-26722	135	43	set	set	VERB
fcis-26722	135	44	as	as	ADP
fcis-26722	135	45	such	such	ADJ
fcis-26722	135	46	[	[	NOUN
fcis-26722	135	47	12,13	12,13	NUM
fcis-26722	135	48	]	]	PUNCT
fcis-26722	135	49	.	.	PUNCT
fcis-26722	136	1	2.3	2.3	NUM
fcis-26722	136	2	.	.	PUNCT
fcis-26722	137	1	image	image	NOUN
fcis-26722	137	2	segmentation	segmentation	NOUN
fcis-26722	137	3	the	the	DET
fcis-26722	137	4	threshold	threshold	NOUN
fcis-26722	137	5	segmentation	segmentation	NOUN
fcis-26722	137	6	method	method	NOUN
fcis-26722	137	7	is	be	AUX
fcis-26722	137	8	one	one	NUM
fcis-26722	137	9	of	of	ADP
fcis-26722	137	10	the	the	DET
fcis-26722	137	11	region	region	NOUN
fcis-26722	137	12	generation	generation	NOUN
fcis-26722	137	13	methods	method	NOUN
fcis-26722	137	14	.	.	PUNCT
fcis-26722	138	1	the	the	DET
fcis-26722	138	2	main	main	ADJ
fcis-26722	138	3	idea	idea	NOUN
fcis-26722	138	4	of	of	ADP
fcis-26722	138	5	the	the	DET
fcis-26722	138	6	threshold	threshold	NOUN
fcis-26722	138	7	segmentation	segmentation	NOUN
fcis-26722	138	8	method	method	NOUN
fcis-26722	138	9	is	be	AUX
fcis-26722	138	10	to	to	PART
fcis-26722	138	11	determine	determine	VERB
fcis-26722	138	12	the	the	DET
fcis-26722	138	13	threshold	threshold	NOUN
fcis-26722	138	14	.	.	PUNCT
fcis-26722	139	1	select	select	VERB
fcis-26722	139	2	the	the	DET
fcis-26722	139	3	appropriate	appropriate	ADJ
fcis-26722	139	4	grayscale	grayscale	NOUN
fcis-26722	139	5	segmentation	segmentation	NOUN
fcis-26722	139	6	value	value	NOUN
fcis-26722	139	7	,	,	PUNCT
fcis-26722	139	8	and	and	CCONJ
fcis-26722	139	9	compare	compare	VERB
fcis-26722	139	10	each	each	DET
fcis-26722	139	11	grayscale	grayscale	NOUN
fcis-26722	139	12	value	value	NOUN
fcis-26722	139	13	in	in	ADP
fcis-26722	139	14	the	the	DET
fcis-26722	139	15	image	image	NOUN
fcis-26722	139	16	with	with	ADP
fcis-26722	139	17	that	that	DET
fcis-26722	139	18	value	value	NOUN
fcis-26722	139	19	.	.	PUNCT
fcis-26722	140	1	if	if	SCONJ
fcis-26722	140	2	it	it	PRON
fcis-26722	140	3	is	be	AUX
fcis-26722	140	4	a	a	DET
fcis-26722	140	5	single	single	ADJ
fcis-26722	140	6	threshold	threshold	NOUN
fcis-26722	140	7	segmentation	segmentation	NOUN
fcis-26722	140	8	,	,	PUNCT
fcis-26722	140	9	the	the	DET
fcis-26722	140	10	gray	gray	ADJ
fcis-26722	140	11	value	value	NOUN
fcis-26722	140	12	in	in	ADP
fcis-26722	140	13	the	the	DET
fcis-26722	140	14	image	image	NOUN
fcis-26722	140	15	will	will	AUX
fcis-26722	140	16	be	be	AUX
fcis-26722	140	17	divided	divide	VERB
fcis-26722	140	18	into	into	ADP
fcis-26722	140	19	two	two	NUM
fcis-26722	140	20	parts	part	NOUN
fcis-26722	140	21	,	,	PUNCT
fcis-26722	140	22	one	one	NUM
fcis-26722	140	23	part	part	NOUN
fcis-26722	140	24	is	be	AUX
fcis-26722	140	25	less	less	ADJ
fcis-26722	140	26	than	than	ADP
fcis-26722	140	27	the	the	DET
fcis-26722	140	28	segmentation	segmentation	NOUN
fcis-26722	140	29	threshold	threshold	NOUN
fcis-26722	140	30	value	value	NOUN
fcis-26722	140	31	,	,	PUNCT
fcis-26722	140	32	and	and	CCONJ
fcis-26722	140	33	the	the	DET
fcis-26722	140	34	other	other	ADJ
fcis-26722	140	35	part	part	NOUN
fcis-26722	140	36	is	be	AUX
fcis-26722	140	37	greater	great	ADJ
fcis-26722	140	38	than	than	ADP
fcis-26722	140	39	the	the	DET
fcis-26722	140	40	division	division	NOUN
fcis-26722	140	41	threshold	threshold	NOUN
fcis-26722	140	42	value	value	NOUN
fcis-26722	140	43	.	.	PUNCT
fcis-26722	141	1	convert	convert	VERB
fcis-26722	141	2	the	the	DET
fcis-26722	141	3	input	input	NOUN
fcis-26722	141	4	image	image	NOUN
fcis-26722	141	5	f	f	X
fcis-26722	141	6	to	to	ADP
fcis-26722	141	7	a	a	DET
fcis-26722	141	8	binary	binary	ADJ
fcis-26722	141	9	function	function	NOUN
fcis-26722	141	10	:	:	PUNCT
fcis-26722	141	11	1	1	NUM
fcis-26722	141	12	(	(	PUNCT
fcis-26722	141	13	,	,	PUNCT
fcis-26722	141	14	)	)	PUNCT
fcis-26722	141	15	(	(	PUNCT
fcis-26722	141	16	,	,	PUNCT
fcis-26722	141	17	)	)	PUNCT
fcis-26722	141	18	=	=	SYM
fcis-26722	141	19	0	0	PUNCT
fcis-26722	142	1	(	(	PUNCT
fcis-26722	142	2	,	,	PUNCT
fcis-26722	142	3	)	)	PUNCT
fcis-26722	142	4	f	f	PROPN
fcis-26722	143	1	i	i	PRON
fcis-26722	143	2	j	j	PROPN
fcis-26722	144	1	t	t	NOUN
fcis-26722	144	2	g	g	PROPN
fcis-26722	145	1	i	i	PRON
fcis-26722	145	2	j	j	PROPN
fcis-26722	146	1	f	f	NOUN
fcis-26722	146	2	i	i	PRON
fcis-26722	146	3	j	j	PROPN
fcis-26722	146	4	t	t	PROPN
fcis-26722	146	5			CCONJ
fcis-26722	146	6			NUM
fcis-26722	146	7			NOUN
fcis-26722	147	1	，	，	PUNCT
fcis-26722	147	2	，	，	PUNCT
fcis-26722	147	3	(	(	PUNCT
fcis-26722	147	4	7	7	X
fcis-26722	147	5	)	)	PUNCT
fcis-26722	147	6	where	where	SCONJ
fcis-26722	147	7	t	t	PROPN
fcis-26722	147	8	is	be	AUX
fcis-26722	147	9	the	the	DET
fcis-26722	147	10	threshold	threshold	NOUN
fcis-26722	147	11	.	.	PUNCT
fcis-26722	148	1	for	for	ADP
fcis-26722	148	2	the	the	DET
fcis-26722	148	3	foreground	foreground	NOUN
fcis-26722	148	4	image	image	NOUN
fcis-26722	148	5	element	element	NOUN
fcis-26722	148	6	(	(	PUNCT
fcis-26722	148	7	,	,	PUNCT
fcis-26722	148	8	)	)	PUNCT
fcis-26722	148	9	=	=	SYM
fcis-26722	148	10	1	1	NUM
fcis-26722	148	11	g	g	NOUN
fcis-26722	148	12	i	i	PRON
fcis-26722	148	13	j	j	PROPN
fcis-26722	148	14	,	,	PUNCT
fcis-26722	148	15	for	for	ADP
fcis-26722	148	16	the	the	DET
fcis-26722	148	17	background	background	NOUN
fcis-26722	148	18	image	image	NOUN
fcis-26722	148	19	element	element	NOUN
fcis-26722	148	20	(	(	PUNCT
fcis-26722	148	21	,	,	PUNCT
fcis-26722	148	22	)	)	PUNCT
fcis-26722	148	23	=	=	SYM
fcis-26722	148	24	0	0	NUM
fcis-26722	148	25	g	g	NOUN
fcis-26722	148	26	i	i	PROPN
fcis-26722	148	27	j	j	PROPN
fcis-26722	148	28	.	.	PUNCT
fcis-26722	149	1	traverse	traverse	VERB
fcis-26722	149	2	the	the	DET
fcis-26722	149	3	image	image	NOUN
fcis-26722	149	4	f	f	X
fcis-26722	149	5	.	.	PUNCT
fcis-26722	150	1	when	when	SCONJ
fcis-26722	150	2	(	(	PUNCT
fcis-26722	150	3	,	,	PUNCT
fcis-26722	150	4	)	)	PUNCT
fcis-26722	150	5	f	f	PROPN
fcis-26722	151	1	i	i	PRON
fcis-26722	151	2	j	j	PROPN
fcis-26722	151	3	t	t	PROPN
fcis-26722	151	4	,	,	PUNCT
fcis-26722	151	5	the	the	DET
fcis-26722	151	6	segmented	segment	VERB
fcis-26722	151	7	image	image	NOUN
fcis-26722	151	8	pixel	pixel	NOUN
fcis-26722	151	9	(	(	PUNCT
fcis-26722	151	10	,	,	PUNCT
fcis-26722	151	11	)	)	PUNCT
fcis-26722	151	12	g	g	NOUN
fcis-26722	152	1	i	i	PRON
fcis-26722	152	2	j	j	PROPN
fcis-26722	152	3	is	be	AUX
fcis-26722	152	4	the	the	DET
fcis-26722	152	5	foreground	foreground	NOUN
fcis-26722	152	6	gray	gray	NOUN
fcis-26722	152	7	,	,	PUNCT
fcis-26722	152	8	otherwise	otherwise	ADV
fcis-26722	152	9	it	it	PRON
fcis-26722	152	10	is	be	AUX
fcis-26722	152	11	the	the	DET
fcis-26722	152	12	background	background	NOUN
fcis-26722	152	13	gray	gray	ADJ
fcis-26722	152	14	.	.	PUNCT
fcis-26722	153	1	the	the	DET
fcis-26722	153	2	selection	selection	NOUN
fcis-26722	153	3	of	of	ADP
fcis-26722	153	4	the	the	DET
fcis-26722	153	5	segmentation	segmentation	NOUN
fcis-26722	153	6	threshold	threshold	NOUN
fcis-26722	153	7	will	will	AUX
fcis-26722	153	8	directly	directly	ADV
fcis-26722	153	9	affect	affect	VERB
fcis-26722	153	10	people	people	NOUN
fcis-26722	153	11	's	's	PART
fcis-26722	153	12	acquisition	acquisition	NOUN
fcis-26722	153	13	of	of	ADP
fcis-26722	153	14	useful	useful	ADJ
fcis-26722	153	15	data	datum	NOUN
fcis-26722	153	16	in	in	ADP
fcis-26722	153	17	the	the	DET
fcis-26722	153	18	image	image	NOUN
fcis-26722	153	19	.	.	PUNCT
fcis-26722	154	1	the	the	DET
fcis-26722	154	2	acquisition	acquisition	NOUN
fcis-26722	154	3	of	of	ADP
fcis-26722	154	4	useful	useful	ADJ
fcis-26722	154	5	information	information	NOUN
fcis-26722	154	6	mainly	mainly	ADV
fcis-26722	154	7	lies	lie	VERB
fcis-26722	154	8	in	in	ADP
fcis-26722	154	9	the	the	DET
fcis-26722	154	10	description	description	NOUN
fcis-26722	154	11	and	and	CCONJ
fcis-26722	154	12	analysis	analysis	NOUN
fcis-26722	154	13	of	of	ADP
fcis-26722	154	14	the	the	DET
fcis-26722	154	15	image	image	NOUN
fcis-26722	154	16	,	,	PUNCT
fcis-26722	154	17	and	and	CCONJ
fcis-26722	154	18	the	the	DET
fcis-26722	154	19	core	core	NOUN
fcis-26722	154	20	of	of	ADP
fcis-26722	154	21	these	these	DET
fcis-26722	154	22	two	two	NUM
fcis-26722	154	23	links	link	NOUN
fcis-26722	154	24	is	be	AUX
fcis-26722	154	25	to	to	PART
fcis-26722	154	26	see	see	VERB
fcis-26722	154	27	whether	whether	SCONJ
fcis-26722	154	28	the	the	DET
fcis-26722	154	29	obtained	obtain	VERB
fcis-26722	154	30	segmentation	segmentation	NOUN
fcis-26722	154	31	threshold	threshold	NOUN
fcis-26722	154	32	is	be	AUX
fcis-26722	154	33	effective	effective	ADJ
fcis-26722	154	34	.	.	PUNCT
fcis-26722	155	1	this	this	PRON
fcis-26722	155	2	is	be	AUX
fcis-26722	155	3	enough	enough	ADJ
fcis-26722	155	4	to	to	PART
fcis-26722	155	5	show	show	VERB
fcis-26722	155	6	the	the	DET
fcis-26722	155	7	importance	importance	NOUN
fcis-26722	155	8	of	of	ADP
fcis-26722	155	9	this	this	DET
fcis-26722	155	10	value	value	NOUN
fcis-26722	155	11	in	in	ADP
fcis-26722	155	12	image	image	NOUN
fcis-26722	155	13	segmentation	segmentation	NOUN
fcis-26722	155	14	.	.	PUNCT
fcis-26722	156	1	threshold	threshold	NOUN
fcis-26722	156	2	segmentation	segmentation	NOUN
fcis-26722	156	3	algorithms	algorithm	NOUN
fcis-26722	156	4	generally	generally	ADV
fcis-26722	156	5	include	include	VERB
fcis-26722	156	6	artificial	artificial	ADJ
fcis-26722	156	7	threshold	threshold	NOUN
fcis-26722	156	8	segmentation	segmentation	NOUN
fcis-26722	156	9	and	and	CCONJ
fcis-26722	156	10	adaptive	adaptive	ADJ
fcis-26722	156	11	threshold	threshold	NOUN
fcis-26722	156	12	segmentation	segmentation	NOUN
fcis-26722	156	13	.	.	PUNCT
fcis-26722	157	1	the	the	DET
fcis-26722	157	2	artificial	artificial	ADJ
fcis-26722	157	3	threshold	threshold	NOUN
fcis-26722	157	4	segmentation	segmentation	NOUN
fcis-26722	157	5	algorithm	algorithm	NOUN
fcis-26722	157	6	mainly	mainly	ADV
fcis-26722	157	7	obtains	obtain	VERB
fcis-26722	157	8	the	the	DET
fcis-26722	157	9	segmentation	segmentation	NOUN
fcis-26722	157	10	threshold	threshold	NOUN
fcis-26722	157	11	based	base	VERB
fcis-26722	157	12	on	on	ADP
fcis-26722	157	13	human	human	ADJ
fcis-26722	157	14	subjective	subjective	ADJ
fcis-26722	157	15	judgment	judgment	NOUN
fcis-26722	157	16	,	,	PUNCT
fcis-26722	157	17	and	and	CCONJ
fcis-26722	157	18	finally	finally	ADV
fcis-26722	157	19	uses	use	VERB
fcis-26722	157	20	this	this	DET
fcis-26722	157	21	value	value	NOUN
fcis-26722	157	22	to	to	PART
fcis-26722	157	23	perform	perform	VERB
fcis-26722	157	24	image	image	NOUN
fcis-26722	157	25	segmentation	segmentation	NOUN
fcis-26722	157	26	[	[	X
fcis-26722	157	27	14	14	NUM
fcis-26722	157	28	]	]	SYM
fcis-26722	157	29	.	.	PUNCT
fcis-26722	158	1	3	3	X
fcis-26722	158	2	.	.	X
fcis-26722	158	3	algorithm	algorithm	PROPN
fcis-26722	158	4	design	design	PROPN
fcis-26722	158	5	3.1	3.1	NUM
fcis-26722	158	6	.	.	PUNCT
fcis-26722	159	1	algorithm	algorithm	PROPN
fcis-26722	159	2	thought	think	VERB
fcis-26722	159	3	from	from	ADP
fcis-26722	159	4	theorem	theorem	ADJ
fcis-26722	159	5	2	2	NUM
fcis-26722	159	6	and	and	CCONJ
fcis-26722	159	7	formula	formula	NOUN
fcis-26722	159	8	(	(	PUNCT
fcis-26722	159	9	3	3	NUM
fcis-26722	159	10	)	)	PUNCT
fcis-26722	159	11	,	,	PUNCT
fcis-26722	159	12	we	we	PRON
fcis-26722	159	13	can	can	AUX
fcis-26722	159	14	know	know	VERB
fcis-26722	159	15	that	that	SCONJ
fcis-26722	159	16	the	the	DET
fcis-26722	159	17	accuracy	accuracy	NOUN
fcis-26722	159	18	of	of	ADP
fcis-26722	159	19	vprs	vprs	NOUN
fcis-26722	159	20	is	be	AUX
fcis-26722	159	21	greater	great	ADJ
fcis-26722	159	22	than	than	ADP
fcis-26722	159	23	pawlak	pawlak	ADJ
fcis-26722	159	24	rough	rough	ADJ
fcis-26722	159	25	set	set	NOUN
fcis-26722	159	26	,	,	PUNCT
fcis-26722	159	27	and	and	CCONJ
fcis-26722	159	28	the	the	DET
fcis-26722	159	29	boundary	boundary	ADJ
fcis-26722	159	30	region	region	NOUN
fcis-26722	159	31	of	of	ADP
fcis-26722	159	32	vprs	vprs	NOUN
fcis-26722	159	33	is	be	AUX
fcis-26722	159	34	also	also	ADV
fcis-26722	159	35	smaller	small	ADJ
fcis-26722	159	36	than	than	ADP
fcis-26722	159	37	pawlak	pawlak	ADJ
fcis-26722	159	38	rough	rough	ADJ
fcis-26722	159	39	set	set	NOUN
fcis-26722	159	40	.	.	PUNCT
fcis-26722	160	1	this	this	PRON
fcis-26722	160	2	shows	show	VERB
fcis-26722	160	3	that	that	SCONJ
fcis-26722	160	4	using	use	VERB
fcis-26722	160	5	vprs	vprs	NOUN
fcis-26722	160	6	to	to	PART
fcis-26722	160	7	represent	represent	VERB
fcis-26722	160	8	grayscale	grayscale	NOUN
fcis-26722	160	9	images	image	NOUN
fcis-26722	160	10	is	be	AUX
fcis-26722	160	11	more	more	ADV
fcis-26722	160	12	accurate	accurate	ADJ
fcis-26722	160	13	than	than	ADP
fcis-26722	160	14	pawlak	pawlak	ADJ
fcis-26722	160	15	rough	rough	ADJ
fcis-26722	160	16	set	set	NOUN
fcis-26722	160	17	,	,	PUNCT
fcis-26722	160	18	because	because	SCONJ
fcis-26722	160	19	for	for	ADP
fcis-26722	160	20	rough	rough	ADJ
fcis-26722	160	21	set	set	NOUN
fcis-26722	160	22	theory	theory	NOUN
fcis-26722	160	23	,	,	PUNCT
fcis-26722	160	24	the	the	PRON
fcis-26722	160	25	smaller	small	ADJ
fcis-26722	160	26	the	the	DET
fcis-26722	160	27	boundary	boundary	ADJ
fcis-26722	160	28	region	region	NOUN
fcis-26722	160	29	,	,	PUNCT
fcis-26722	160	30	the	the	DET
fcis-26722	160	31	more	more	ADV
fcis-26722	160	32	accurate	accurate	ADJ
fcis-26722	160	33	the	the	DET
fcis-26722	160	34	object	object	NOUN
fcis-26722	160	35	description	description	NOUN
fcis-26722	160	36	.	.	PUNCT
fcis-26722	161	1	therefore	therefore	ADV
fcis-26722	161	2	,	,	PUNCT
fcis-26722	161	3	this	this	DET
fcis-26722	161	4	paper	paper	NOUN
fcis-26722	161	5	uses	use	VERB
fcis-26722	161	6	vprs	vprs	NOUN
fcis-26722	161	7	to	to	PART
fcis-26722	161	8	represent	represent	VERB
fcis-26722	161	9	images	image	NOUN
fcis-26722	161	10	.	.	PUNCT
fcis-26722	162	1	the	the	DET
fcis-26722	162	2	domain	domain	NOUN
fcis-26722	162	3	u	u	NOUN
fcis-26722	162	4	is	be	AUX
fcis-26722	162	5	formed	form	VERB
fcis-26722	162	6	by	by	ADP
fcis-26722	162	7	using	use	VERB
fcis-26722	162	8	all	all	DET
fcis-26722	162	9	gray	gray	ADJ
fcis-26722	162	10	values	value	NOUN
fcis-26722	162	11	of	of	ADP
fcis-26722	162	12	a	a	DET
fcis-26722	162	13	gray	gray	ADJ
fcis-26722	162	14	image	image	NOUN
fcis-26722	162	15	f	f	PROPN
fcis-26722	162	16	of	of	ADP
fcis-26722	162	17	size	size	NOUN
fcis-26722	162	18	n	n	PROPN
fcis-26722	162	19	m	m	NOUN
fcis-26722	162	20	.	.	PUNCT
fcis-26722	163	1	the	the	DET
fcis-26722	163	2	lightness	lightness	NOUN
fcis-26722	163	3	and	and	CCONJ
fcis-26722	163	4	darkness	darkness	NOUN
fcis-26722	163	5	of	of	ADP
fcis-26722	163	6	a	a	DET
fcis-26722	163	7	grayscale	grayscale	NOUN
fcis-26722	163	8	image	image	NOUN
fcis-26722	163	9	are	be	AUX
fcis-26722	163	10	represented	represent	VERB
fcis-26722	163	11	by	by	ADP
fcis-26722	163	12	the	the	DET
fcis-26722	163	13	attribute	attribute	NOUN
fcis-26722	163	14	r	r	NOUN
fcis-26722	163	15	of	of	ADP
fcis-26722	163	16	the	the	DET
fcis-26722	163	17	information	information	NOUN
fcis-26722	163	18	system	system	NOUN
fcis-26722	163	19	.	.	PUNCT
fcis-26722	164	1	a	a	DET
fcis-26722	164	2	pixel	pixel	NOUN
fcis-26722	164	3	value	value	NOUN
fcis-26722	164	4	is	be	AUX
fcis-26722	164	5	arbitrarily	arbitrarily	ADV
fcis-26722	164	6	selected	select	VERB
fcis-26722	164	7	in	in	ADP
fcis-26722	164	8	u	u	NOUN
fcis-26722	164	9	as	as	SCONJ
fcis-26722	164	10	the	the	DET
fcis-26722	164	11	initial	initial	ADJ
fcis-26722	164	12	segmentation	segmentation	NOUN
fcis-26722	164	13	threshold	threshold	NOUN
fcis-26722	164	14	th	th	X
fcis-26722	164	15	(	(	PUNCT
fcis-26722	164	16	0	0	NUM
fcis-26722	164	17	1th	1th	NOUN
fcis-26722	164	18	l	l	ADP
fcis-26722	164	19			NOUN
fcis-26722	164	20			NOUN
fcis-26722	164	21	,	,	PUNCT
fcis-26722	164	22	256l	256l	NUM
fcis-26722	164	23	)	)	PUNCT
fcis-26722	164	24	of	of	ADP
fcis-26722	164	25	the	the	DET
fcis-26722	164	26	grayscale	grayscale	NOUN
fcis-26722	164	27	image	image	NOUN
fcis-26722	164	28	.	.	PUNCT
fcis-26722	165	1	divide	divide	VERB
fcis-26722	165	2	u	u	NOUN
fcis-26722	165	3	into	into	ADP
fcis-26722	165	4	the	the	DET
fcis-26722	165	5	foreground	foreground	NOUN
fcis-26722	165	6	set	set	VERB
fcis-26722	165	7	o	o	NOUN
fcis-26722	165	8	and	and	CCONJ
fcis-26722	165	9	the	the	DET
fcis-26722	165	10	background	background	NOUN
fcis-26722	165	11	set	set	VERB
fcis-26722	165	12	b	b	NOUN
fcis-26722	165	13	,	,	PUNCT
fcis-26722	165	14	then	then	ADV
fcis-26722	165	15	{	{	PUNCT
fcis-26722	165	16	(	(	PUNCT
fcis-26722	165	17	,	,	PUNCT
fcis-26722	165	18	)	)	PUNCT
fcis-26722	166	1	|	|	ADV
fcis-26722	166	2	(	(	PUNCT
fcis-26722	166	3	,	,	PUNCT
fcis-26722	166	4	)	)	PUNCT
fcis-26722	166	5	}	}	PUNCT
fcis-26722	167	1	o	o	NOUN
fcis-26722	167	2	f	f	X
fcis-26722	168	1	i	i	PRON
fcis-26722	168	2	j	j	PROPN
fcis-26722	169	1	u	u	INTJ
fcis-26722	169	2	f	f	PROPN
fcis-26722	170	1	i	i	PRON
fcis-26722	170	2	j	j	PROPN
fcis-26722	170	3	th	th	VERB
fcis-26722	170	4			PROPN
fcis-26722	170	5			NUM
fcis-26722	170	6	,	,	PUNCT
fcis-26722	170	7	{	{	PUNCT
fcis-26722	170	8	(	(	PUNCT
fcis-26722	170	9	,	,	PUNCT
fcis-26722	170	10	)	)	PUNCT
fcis-26722	171	1	|	|	ADV
fcis-26722	171	2	(	(	PUNCT
fcis-26722	171	3	,	,	PUNCT
fcis-26722	171	4	)	)	PUNCT
fcis-26722	171	5	}	}	PUNCT
fcis-26722	171	6	b	b	X
fcis-26722	172	1	f	f	X
fcis-26722	172	2	i	i	PRON
fcis-26722	172	3	j	j	PROPN
fcis-26722	172	4	u	u	INTJ
fcis-26722	173	1	f	f	PROPN
fcis-26722	173	2	i	i	PRON
fcis-26722	173	3	j	j	PROPN
fcis-26722	173	4	th	th	VERB
fcis-26722	173	5			PROPN
fcis-26722	173	6			PROPN
fcis-26722	173	7	,	,	PUNCT
fcis-26722	173	8	where	where	SCONJ
fcis-26722	173	9	i	i	PRON
fcis-26722	173	10	n	n	X
fcis-26722	173	11	,	,	PUNCT
fcis-26722	173	12	j	j	PROPN
fcis-26722	173	13	m	m	VERB
fcis-26722	173	14	.	.	PUNCT
fcis-26722	174	1	because	because	SCONJ
fcis-26722	174	2	the	the	DET
fcis-26722	174	3	entire	entire	ADJ
fcis-26722	174	4	grayscale	grayscale	NOUN
fcis-26722	174	5	image	image	NOUN
fcis-26722	174	6	f	f	PROPN
fcis-26722	174	7	is	be	AUX
fcis-26722	174	8	inconvenient	inconvenient	ADJ
fcis-26722	174	9	to	to	PART
fcis-26722	174	10	be	be	AUX
fcis-26722	174	11	classified	classify	VERB
fcis-26722	174	12	,	,	PUNCT
fcis-26722	174	13	the	the	DET
fcis-26722	174	14	grayscale	grayscale	NOUN
fcis-26722	174	15	image	image	NOUN
fcis-26722	174	16	f	f	PROPN
fcis-26722	174	17	of	of	ADP
fcis-26722	174	18	size	size	NOUN
fcis-26722	174	19	n	n	DET
fcis-26722	174	20	m	m	NOUN
fcis-26722	174	21	is	be	AUX
fcis-26722	174	22	now	now	ADV
fcis-26722	174	23	divided	divide	VERB
fcis-26722	174	24	into	into	ADP
fcis-26722	174	25	k	k	PROPN
fcis-26722	174	26	sub	sub	NOUN
fcis-26722	174	27	-	-	NOUN
fcis-26722	174	28	blocks	block	NOUN
fcis-26722	174	29	of	of	ADP
fcis-26722	174	30	size	size	NOUN
fcis-26722	174	31	n	n	DET
fcis-26722	174	32	m	m	NOUN
fcis-26722	174	33	,	,	PUNCT
fcis-26722	174	34	denoted	denote	VERB
fcis-26722	174	35	as	as	ADP
fcis-26722	174	36	ig	ig	PROPN
fcis-26722	174	37	(	(	PUNCT
fcis-26722	174	38	1	1	NUM
fcis-26722	174	39	i	i	PRON
fcis-26722	174	40	k	k	VERB
fcis-26722	174	41			NOUN
fcis-26722	174	42	)	)	PUNCT
fcis-26722	174	43	,	,	PUNCT
fcis-26722	174	44	where	where	SCONJ
fcis-26722	174	45	k	k	PROPN
fcis-26722	174	46	n	n	VERB
fcis-26722	174	47	m	m	VERB
fcis-26722	174	48	n	n	PRON
fcis-26722	174	49	m	m	AUX
fcis-26722	174	50			NOUN
fcis-26722	174	51			PROPN
fcis-26722	174	52	.	.	PUNCT
fcis-26722	175	1	the	the	DET
fcis-26722	175	2	set	set	NOUN
fcis-26722	175	3	{	{	PUNCT
fcis-26722	175	4	|	|	ADV
fcis-26722	175	5	}	}	PUNCT
fcis-26722	175	6	i	i	PRON
fcis-26722	175	7	ix	ix	ADP
fcis-26722	175	8	p	p	X
fcis-26722	175	9	g	g	PROPN
fcis-26722	175	10	p	p	PROPN
fcis-26722	175	11	th	th	NOUN
fcis-26722	175	12			PROPN
fcis-26722	175	13			NUM
fcis-26722	175	14	represents	represent	VERB
fcis-26722	175	15	a	a	DET
fcis-26722	175	16	set	set	NOUN
fcis-26722	175	17	in	in	ADP
fcis-26722	175	18	which	which	PRON
fcis-26722	175	19	pixel	pixel	ADJ
fcis-26722	175	20	values	value	NOUN
fcis-26722	175	21	in	in	ADP
fcis-26722	175	22	the	the	DET
fcis-26722	175	23	i	i	PROPN
fcis-26722	175	24	-	-	PUNCT
fcis-26722	175	25	th	th	PRON
fcis-26722	175	26	sub	sub	NOUN
fcis-26722	175	27	-	-	ADJ
fcis-26722	175	28	block	block	NOUN
fcis-26722	175	29	are	be	AUX
fcis-26722	175	30	larger	large	ADJ
fcis-26722	175	31	than	than	ADP
fcis-26722	175	32	th	th	X
fcis-26722	175	33	.	.	PUNCT
fcis-26722	176	1	it	it	PRON
fcis-26722	176	2	can	can	AUX
fcis-26722	176	3	be	be	AUX
fcis-26722	176	4	known	know	VERB
fcis-26722	176	5	from	from	ADP
fcis-26722	176	6	definition	definition	NOUN
fcis-26722	176	7	4	4	NUM
fcis-26722	176	8	that	that	SCONJ
fcis-26722	176	9	the	the	DET
fcis-26722	176	10	upper	upper	ADJ
fcis-26722	176	11	and	and	CCONJ
fcis-26722	176	12	lower	low	ADJ
fcis-26722	176	13	approximation	approximation	NOUN
fcis-26722	176	14	sets	set	NOUN
fcis-26722	176	15	of	of	ADP
fcis-26722	176	16	the	the	DET
fcis-26722	176	17	foreground	foreground	NOUN
fcis-26722	176	18	set	set	VERB
fcis-26722	176	19	o	o	NOUN
fcis-26722	176	20	and	and	CCONJ
fcis-26722	176	21	the	the	DET
fcis-26722	176	22	background	background	NOUN
fcis-26722	176	23	set	set	VERB
fcis-26722	176	24	b	b	PROPN
fcis-26722	176	25	and	and	CCONJ
fcis-26722	176	26	related	related	ADJ
fcis-26722	176	27	variables	variable	NOUN
fcis-26722	176	28	are	be	AUX
fcis-26722	176	29	defined	define	VERB
fcis-26722	176	30	by	by	ADP
fcis-26722	176	31	using	use	VERB
fcis-26722	176	32	vprs	vprs	NOUN
fcis-26722	176	33	.	.	PUNCT
fcis-26722	177	1	the	the	DET
fcis-26722	177	2	upper	upper	ADJ
fcis-26722	177	3	and	and	CCONJ
fcis-26722	177	4	lower	low	ADJ
fcis-26722	177	5	approximation	approximation	NOUN
fcis-26722	177	6	sets	set	NOUN
fcis-26722	177	7	of	of	ADP
fcis-26722	177	8			PROPN
fcis-26722	177	9	(	(	PUNCT
fcis-26722	177	10	classification	classification	NOUN
fcis-26722	177	11	error	error	NOUN
fcis-26722	177	12	[	[	X
fcis-26722	177	13	0	0	NUM
fcis-26722	177	14	,	,	PUNCT
fcis-26722	177	15	0.5)	0.5)	NOUN
fcis-26722	177	16			NOUN
fcis-26722	177	17	)	)	PUNCT
fcis-26722	177	18	of	of	ADP
fcis-26722	177	19	the	the	DET
fcis-26722	177	20	foreground	foreground	NOUN
fcis-26722	177	21	set	set	VERB
fcis-26722	177	22	and	and	CCONJ
fcis-26722	177	23	related	related	ADJ
fcis-26722	177	24	variables	variable	NOUN
fcis-26722	177	25	are	be	AUX
fcis-26722	177	26	as	as	SCONJ
fcis-26722	177	27	follows	follow	VERB
fcis-26722	177	28	:	:	PUNCT
fcis-26722	177	29	the	the	DET
fcis-26722	177	30			PROPN
fcis-26722	177	31	-lower	-lower	PROPN
fcis-26722	177	32	approximation	approximation	NOUN
fcis-26722	177	33	set	set	NOUN
fcis-26722	177	34	of	of	ADP
fcis-26722	177	35	ix	ix	PROPN
fcis-26722	177	36	:	:	PUNCT
fcis-26722	177	37	1	1	NUM
fcis-26722	177	38	(	(	PUNCT
fcis-26722	177	39	)	)	PUNCT
fcis-26722	177	40	{	{	PUNCT
fcis-26722	178	1	|	|	ADV
fcis-26722	178	2	(	(	PUNCT
fcis-26722	178	3	,	,	PUNCT
fcis-26722	178	4	)	)	PUNCT
fcis-26722	178	5	}	}	PUNCT
fcis-26722	179	1	k	k	X
fcis-26722	180	1	i	i	PRON
fcis-26722	180	2	i	i	PRON
fcis-26722	181	1	i	i	INTJ
fcis-26722	181	2	io	io	VERB
fcis-26722	181	3	th	th	X
fcis-26722	182	1	g	g	PROPN
fcis-26722	182	2	c	c	PROPN
fcis-26722	182	3	g	g	PROPN
fcis-26722	182	4	x	x	PROPN
fcis-26722	182	5			X
fcis-26722	183	1			PROPN
fcis-26722	183	2	,	,	PUNCT
fcis-26722	183	3	where	where	SCONJ
fcis-26722	183	4	(	(	PUNCT
fcis-26722	183	5	)	)	PUNCT
fcis-26722	183	6	o	o	NOUN
fcis-26722	183	7	th	th	NOUN
fcis-26722	183	8	is	be	AUX
fcis-26722	183	9	also	also	ADV
fcis-26722	183	10	referred	refer	VERB
fcis-26722	183	11	to	to	ADP
fcis-26722	183	12	as	as	ADP
fcis-26722	183	13			PROPN
fcis-26722	183	14	-positive	-positive	PROPN
fcis-26722	183	15	region	region	NOUN
fcis-26722	183	16	,	,	PUNCT
fcis-26722	183	17	denoted	denote	VERB
fcis-26722	183	18	as	as	ADP
fcis-26722	183	19	(	(	PUNCT
fcis-26722	183	20	)	)	PUNCT
fcis-26722	183	21	poso	poso	PROPN
fcis-26722	183	22	th	th	PROPN
fcis-26722	183	23	.	.	PUNCT
fcis-26722	184	1	the	the	DET
fcis-26722	184	2			PROPN
fcis-26722	184	3	-upper	-upper	NOUN
fcis-26722	184	4	approximation	approximation	NOUN
fcis-26722	184	5	set	set	NOUN
fcis-26722	184	6	of	of	ADP
fcis-26722	184	7	ix	ix	PROPN
fcis-26722	184	8	:	:	PUNCT
fcis-26722	184	9	1	1	NUM
fcis-26722	184	10	(	(	PUNCT
fcis-26722	184	11	)	)	PUNCT
fcis-26722	184	12	{	{	PUNCT
fcis-26722	184	13	|	|	ADV
fcis-26722	184	14	(	(	PUNCT
fcis-26722	184	15	,	,	PUNCT
fcis-26722	184	16	)	)	PUNCT
fcis-26722	184	17	1	1	NUM
fcis-26722	184	18	}	}	PUNCT
fcis-26722	184	19	k	k	NOUN
fcis-26722	185	1	i	i	PRON
fcis-26722	185	2	i	i	PRON
fcis-26722	186	1	i	i	INTJ
fcis-26722	186	2	io	io	VERB
fcis-26722	186	3	th	th	X
fcis-26722	186	4	g	g	PROPN
fcis-26722	186	5	c	c	PROPN
fcis-26722	186	6	g	g	PROPN
fcis-26722	186	7	x	x	PROPN
fcis-26722	186	8			PROPN
fcis-26722	187	1			PROPN
fcis-26722	187	2			PROPN
fcis-26722	187	3	.	.	PUNCT
fcis-26722	188	1	the	the	DET
fcis-26722	188	2			PROPN
fcis-26722	188	3	-boundary	-boundary	ADJ
fcis-26722	188	4	region	region	NOUN
fcis-26722	188	5	of	of	ADP
fcis-26722	188	6	ix	ix	PROPN
fcis-26722	188	7	:	:	PUNCT
fcis-26722	188	8	1	1	NUM
fcis-26722	188	9	(	(	PUNCT
fcis-26722	188	10	)	)	PUNCT
fcis-26722	188	11	{	{	PUNCT
fcis-26722	188	12	|	|	ADV
fcis-26722	188	13	(	(	PUNCT
fcis-26722	188	14	,	,	PUNCT
fcis-26722	188	15	)	)	PUNCT
fcis-26722	188	16	1	1	NUM
fcis-26722	188	17	}	}	PUNCT
fcis-26722	188	18	k	k	NOUN
fcis-26722	189	1	i	i	PRON
fcis-26722	189	2	i	i	PRON
fcis-26722	190	1	i	i	PRON
fcis-26722	190	2	iobn	iobn	VERB
fcis-26722	190	3	th	th	PRON
fcis-26722	191	1	g	g	PROPN
fcis-26722	191	2	c	c	PROPN
fcis-26722	191	3	g	g	PROPN
fcis-26722	191	4	x	x	PROPN
fcis-26722	191	5			PROPN
fcis-26722	191	6			INTJ
fcis-26722	192	1			PROPN
fcis-26722	192	2			PROPN
fcis-26722	192	3			PROPN
fcis-26722	192	4	.	.	PUNCT
fcis-26722	193	1	the	the	DET
fcis-26722	193	2			PROPN
fcis-26722	193	3	-negative	-negative	ADJ
fcis-26722	193	4	region	region	NOUN
fcis-26722	193	5	of	of	ADP
fcis-26722	193	6	ix	ix	PROPN
fcis-26722	193	7	:	:	PUNCT
fcis-26722	193	8	1	1	NUM
fcis-26722	193	9	(	(	PUNCT
fcis-26722	193	10	)	)	PUNCT
fcis-26722	193	11	{	{	PUNCT
fcis-26722	193	12	|	|	ADV
fcis-26722	193	13	(	(	PUNCT
fcis-26722	193	14	,	,	PUNCT
fcis-26722	193	15	)	)	PUNCT
fcis-26722	193	16	1	1	NUM
fcis-26722	193	17	}	}	PUNCT
fcis-26722	193	18	k	k	NOUN
fcis-26722	194	1	i	i	PRON
fcis-26722	194	2	i	i	PRON
fcis-26722	195	1	i	i	PRON
fcis-26722	195	2	ioneg	ioneg	VERB
fcis-26722	195	3	th	th	X
fcis-26722	195	4	g	g	PROPN
fcis-26722	195	5	c	c	PROPN
fcis-26722	195	6	g	g	PROPN
fcis-26722	195	7	x	x	PROPN
fcis-26722	195	8			PROPN
fcis-26722	195	9			NUM
fcis-26722	195	10			PROPN
fcis-26722	195	11	.	.	PUNCT
fcis-26722	196	1	the	the	DET
fcis-26722	196	2			PROPN
fcis-26722	196	3	-accuracy	-accuracy	NOUN
fcis-26722	196	4	of	of	ADP
fcis-26722	196	5	ix	ix	PROPN
fcis-26722	196	6	:	:	PUNCT
fcis-26722	196	7	(	(	PUNCT
fcis-26722	196	8	(	(	PUNCT
fcis-26722	196	9	)	)	PUNCT
fcis-26722	196	10	)	)	PUNCT
fcis-26722	196	11	(	(	PUNCT
fcis-26722	196	12	)	)	PUNCT
fcis-26722	196	13	(	(	PUNCT
fcis-26722	196	14	(	(	PUNCT
fcis-26722	196	15	)	)	PUNCT
fcis-26722	196	16	)	)	PUNCT
fcis-26722	197	1	o	o	NOUN
fcis-26722	197	2	card	card	NOUN
fcis-26722	197	3	o	o	X
fcis-26722	197	4	th	th	X
fcis-26722	197	5	th	th	X
fcis-26722	197	6	card	card	NOUN
fcis-26722	197	7	o	o	NOUN
fcis-26722	197	8	th	th	INTJ
fcis-26722	197	9			PROPN
fcis-26722	197	10			PROPN
fcis-26722	197	11			NOUN
fcis-26722	197	12			NOUN
fcis-26722	197	13	.	.	PUNCT
fcis-26722	198	1	the	the	DET
fcis-26722	198	2			PROPN
fcis-26722	198	3	-roughness	-roughness	NOUN
fcis-26722	198	4	of	of	ADP
fcis-26722	198	5	ix	ix	PROPN
fcis-26722	198	6	:	:	PUNCT
fcis-26722	198	7	(	(	PUNCT
fcis-26722	198	8	)	)	PUNCT
fcis-26722	198	9	1	1	NUM
fcis-26722	198	10	(	(	PUNCT
fcis-26722	198	11	)	)	PUNCT
fcis-26722	198	12	o	o	NOUN
fcis-26722	198	13	oth	oth	PROPN
fcis-26722	198	14	th	th	PROPN
fcis-26722	198	15			X
fcis-26722	198	16			PROPN
fcis-26722	198	17	.	.	PUNCT
fcis-26722	199	1	100	100	NUM
fcis-26722	199	2	the	the	DET
fcis-26722	199	3	upper	upper	ADJ
fcis-26722	199	4	and	and	CCONJ
fcis-26722	199	5	lower	low	ADJ
fcis-26722	199	6	approximation	approximation	NOUN
fcis-26722	199	7	sets	set	NOUN
fcis-26722	199	8	of	of	ADP
fcis-26722	199	9			PROPN
fcis-26722	199	10	(	(	PUNCT
fcis-26722	199	11	classification	classification	NOUN
fcis-26722	199	12	error	error	NOUN
fcis-26722	199	13	[	[	X
fcis-26722	199	14	0	0	NUM
fcis-26722	199	15	,	,	PUNCT
fcis-26722	199	16	0.5)	0.5)	NOUN
fcis-26722	199	17			NOUN
fcis-26722	199	18	)	)	PUNCT
fcis-26722	199	19	of	of	ADP
fcis-26722	199	20	the	the	DET
fcis-26722	199	21	background	background	NOUN
fcis-26722	199	22	set	set	VERB
fcis-26722	199	23	and	and	CCONJ
fcis-26722	199	24	related	related	ADJ
fcis-26722	199	25	variables	variable	NOUN
fcis-26722	199	26	are	be	AUX
fcis-26722	199	27	as	as	SCONJ
fcis-26722	199	28	follows	follow	VERB
fcis-26722	199	29	:	:	PUNCT
fcis-26722	199	30	the	the	DET
fcis-26722	199	31			PROPN
fcis-26722	199	32	-lower	-lower	PROPN
fcis-26722	199	33	approximation	approximation	NOUN
fcis-26722	199	34	set	set	NOUN
fcis-26722	199	35	of	of	ADP
fcis-26722	199	36	ix	ix	PROPN
fcis-26722	199	37	:	:	PUNCT
fcis-26722	199	38	1	1	NUM
fcis-26722	199	39	(	(	PUNCT
fcis-26722	199	40	)	)	PUNCT
fcis-26722	199	41	{	{	PUNCT
fcis-26722	200	1	|	|	ADV
fcis-26722	200	2	(	(	PUNCT
fcis-26722	200	3	,	,	PUNCT
fcis-26722	200	4	)	)	PUNCT
fcis-26722	200	5	}	}	PUNCT
fcis-26722	201	1	k	k	X
fcis-26722	202	1	i	i	PRON
fcis-26722	202	2	i	i	PRON
fcis-26722	203	1	i	i	PRON
fcis-26722	203	2	i	i	PRON
fcis-26722	203	3	ib	ib	VERB
fcis-26722	203	4	th	th	X
fcis-26722	203	5	g	g	PROPN
fcis-26722	203	6	c	c	PROPN
fcis-26722	203	7	g	g	PROPN
fcis-26722	203	8	g	g	PROPN
fcis-26722	203	9	x	x	PROPN
fcis-26722	203	10			PROPN
fcis-26722	204	1			PROPN
fcis-26722	204	2			PROPN
fcis-26722	204	3	,	,	PUNCT
fcis-26722	204	4	where	where	SCONJ
fcis-26722	204	5	(	(	PUNCT
fcis-26722	204	6	)	)	PUNCT
fcis-26722	204	7	b	b	NOUN
fcis-26722	204	8	th	th	NOUN
fcis-26722	204	9	is	be	AUX
fcis-26722	204	10	also	also	ADV
fcis-26722	204	11	referred	refer	VERB
fcis-26722	204	12	to	to	ADP
fcis-26722	204	13	as	as	ADP
fcis-26722	204	14			PROPN
fcis-26722	204	15	-positive	-positive	PROPN
fcis-26722	204	16	region	region	NOUN
fcis-26722	204	17	,	,	PUNCT
fcis-26722	204	18	denoted	denote	VERB
fcis-26722	204	19	as	as	ADP
fcis-26722	204	20	(	(	PUNCT
fcis-26722	204	21	)	)	PUNCT
fcis-26722	204	22	posb	posb	PROPN
fcis-26722	204	23	th	th	ADJ
fcis-26722	204	24	.	.	PUNCT
fcis-26722	205	1	the	the	DET
fcis-26722	205	2			PROPN
fcis-26722	205	3	-upper	-upper	NOUN
fcis-26722	205	4	approximation	approximation	NOUN
fcis-26722	205	5	set	set	NOUN
fcis-26722	205	6	of	of	ADP
fcis-26722	205	7	ix	ix	PROPN
fcis-26722	205	8	:	:	PUNCT
fcis-26722	205	9	1	1	NUM
fcis-26722	205	10	(	(	PUNCT
fcis-26722	205	11	)	)	PUNCT
fcis-26722	205	12	{	{	PUNCT
fcis-26722	205	13	|	|	ADV
fcis-26722	205	14	(	(	PUNCT
fcis-26722	205	15	,	,	PUNCT
fcis-26722	205	16	)	)	PUNCT
fcis-26722	205	17	1	1	NUM
fcis-26722	205	18	}	}	PUNCT
fcis-26722	205	19	k	k	NOUN
fcis-26722	206	1	i	i	PRON
fcis-26722	206	2	i	i	PRON
fcis-26722	207	1	i	i	PRON
fcis-26722	207	2	i	i	PRON
fcis-26722	207	3	ib	ib	VERB
fcis-26722	207	4	th	th	X
fcis-26722	207	5	g	g	PROPN
fcis-26722	208	1	c	c	PROPN
fcis-26722	208	2	g	g	PROPN
fcis-26722	208	3	g	g	PROPN
fcis-26722	208	4	x	x	PROPN
fcis-26722	208	5			PROPN
fcis-26722	208	6			PROPN
fcis-26722	208	7			PROPN
fcis-26722	208	8			PROPN
fcis-26722	208	9	.	.	PUNCT
fcis-26722	209	1	the	the	DET
fcis-26722	209	2			PROPN
fcis-26722	209	3	-boundary	-boundary	ADJ
fcis-26722	209	4	region	region	NOUN
fcis-26722	209	5	of	of	ADP
fcis-26722	209	6	ix	ix	PROPN
fcis-26722	209	7	:	:	PUNCT
fcis-26722	209	8	1	1	NUM
fcis-26722	209	9	(	(	PUNCT
fcis-26722	209	10	)	)	PUNCT
fcis-26722	209	11	{	{	PUNCT
fcis-26722	209	12	|	|	ADV
fcis-26722	209	13	(	(	PUNCT
fcis-26722	209	14	,	,	PUNCT
fcis-26722	209	15	)	)	PUNCT
fcis-26722	209	16	1	1	NUM
fcis-26722	209	17	}	}	PUNCT
fcis-26722	209	18	k	k	NOUN
fcis-26722	210	1	i	i	PRON
fcis-26722	210	2	i	i	PRON
fcis-26722	211	1	i	i	PRON
fcis-26722	211	2	i	i	PRON
fcis-26722	211	3	ibbn	ibbn	VERB
fcis-26722	211	4	th	th	INTJ
fcis-26722	211	5	g	g	PROPN
fcis-26722	212	1	c	c	NOUN
fcis-26722	212	2	g	g	PROPN
fcis-26722	212	3	g	g	PROPN
fcis-26722	212	4	x	x	PROPN
fcis-26722	212	5			PROPN
fcis-26722	212	6			PUNCT
fcis-26722	213	1			PROPN
fcis-26722	213	2			PROPN
fcis-26722	213	3			PROPN
fcis-26722	213	4			PROPN
fcis-26722	213	5	.	.	PUNCT
fcis-26722	214	1	the	the	DET
fcis-26722	214	2			PROPN
fcis-26722	214	3	-negative	-negative	ADJ
fcis-26722	214	4	region	region	NOUN
fcis-26722	214	5	of	of	ADP
fcis-26722	214	6	ix	ix	PROPN
fcis-26722	214	7	:	:	PUNCT
fcis-26722	214	8	1	1	NUM
fcis-26722	214	9	(	(	PUNCT
fcis-26722	214	10	)	)	PUNCT
fcis-26722	214	11	{	{	PUNCT
fcis-26722	214	12	|	|	ADV
fcis-26722	214	13	(	(	PUNCT
fcis-26722	214	14	,	,	PUNCT
fcis-26722	214	15	)	)	PUNCT
fcis-26722	214	16	1	1	NUM
fcis-26722	214	17	}	}	PUNCT
fcis-26722	214	18	k	k	NOUN
fcis-26722	215	1	i	i	PRON
fcis-26722	215	2	i	i	PRON
fcis-26722	216	1	i	i	PRON
fcis-26722	216	2	i	i	PRON
fcis-26722	216	3	ibneg	ibneg	VERB
fcis-26722	216	4	th	th	X
fcis-26722	216	5	g	g	PROPN
fcis-26722	216	6	c	c	PROPN
fcis-26722	216	7	g	g	PROPN
fcis-26722	216	8	g	g	PROPN
fcis-26722	216	9	x	x	PROPN
fcis-26722	216	10			PROPN
fcis-26722	216	11			PROPN
fcis-26722	216	12			NUM
fcis-26722	216	13			PROPN
fcis-26722	216	14	.	.	PUNCT
fcis-26722	217	1	the	the	DET
fcis-26722	217	2			PROPN
fcis-26722	217	3	-accuracy	-accuracy	NOUN
fcis-26722	217	4	of	of	ADP
fcis-26722	217	5	ix	ix	PROPN
fcis-26722	217	6	:	:	PUNCT
fcis-26722	217	7	(	(	PUNCT
fcis-26722	217	8	(	(	PUNCT
fcis-26722	217	9	)	)	PUNCT
fcis-26722	217	10	)	)	PUNCT
fcis-26722	217	11	(	(	PUNCT
fcis-26722	217	12	)	)	PUNCT
fcis-26722	217	13	(	(	PUNCT
fcis-26722	217	14	(	(	PUNCT
fcis-26722	217	15	)	)	PUNCT
fcis-26722	217	16	)	)	PUNCT
fcis-26722	218	1	b	b	X
fcis-26722	218	2	card	card	NOUN
fcis-26722	218	3	b	b	NOUN
fcis-26722	218	4	th	th	X
fcis-26722	218	5	th	th	X
fcis-26722	218	6	card	card	NOUN
fcis-26722	218	7	b	b	PROPN
fcis-26722	218	8	th	th	ADP
fcis-26722	218	9			PROPN
fcis-26722	218	10			PROPN
fcis-26722	218	11			NOUN
fcis-26722	218	12			NOUN
fcis-26722	218	13	.	.	PUNCT
fcis-26722	219	1	the	the	DET
fcis-26722	219	2			PROPN
fcis-26722	219	3	-roughness	-roughness	NOUN
fcis-26722	219	4	of	of	ADP
fcis-26722	219	5	ix	ix	PROPN
fcis-26722	219	6	:	:	PUNCT
fcis-26722	219	7	(	(	PUNCT
fcis-26722	219	8	)	)	PUNCT
fcis-26722	219	9	1	1	NUM
fcis-26722	219	10	(	(	PUNCT
fcis-26722	219	11	)	)	PUNCT
fcis-26722	219	12	b	b	NOUN
fcis-26722	219	13	bth	bth	NOUN
fcis-26722	219	14	th	th	PROPN
fcis-26722	220	1			X
fcis-26722	220	2			PROPN
fcis-26722	220	3	.	.	PUNCT
fcis-26722	221	1	the	the	DET
fcis-26722	221	2	above	above	ADJ
fcis-26722	221	3	is	be	AUX
fcis-26722	221	4	the	the	DET
fcis-26722	221	5	algorithm	algorithm	NOUN
fcis-26722	221	6	for	for	ADP
fcis-26722	221	7	grayscale	grayscale	NOUN
fcis-26722	221	8	image	image	NOUN
fcis-26722	221	9	represented	represent	VERB
fcis-26722	221	10	by	by	ADP
fcis-26722	221	11	vprs	vprs	NOUN
fcis-26722	221	12	.	.	PUNCT
fcis-26722	222	1	among	among	ADP
fcis-26722	222	2	them	they	PRON
fcis-26722	222	3	,	,	PUNCT
fcis-26722	222	4	the	the	DET
fcis-26722	222	5	classification	classification	NOUN
fcis-26722	222	6	error	error	NOUN
fcis-26722	222	7			NOUN
fcis-26722	222	8	is	be	AUX
fcis-26722	222	9	the	the	DET
fcis-26722	222	10	core	core	NOUN
fcis-26722	222	11	.	.	PUNCT
fcis-26722	223	1	the	the	DET
fcis-26722	223	2	solution	solution	NOUN
fcis-26722	223	3	of	of	ADP
fcis-26722	223	4	this	this	DET
fcis-26722	223	5	value	value	NOUN
fcis-26722	223	6	relates	relate	VERB
fcis-26722	223	7	to	to	ADP
fcis-26722	223	8	the	the	DET
fcis-26722	223	9	following	follow	VERB
fcis-26722	223	10	solution	solution	NOUN
fcis-26722	223	11	of	of	ADP
fcis-26722	223	12	the	the	DET
fcis-26722	223	13	optimal	optimal	ADJ
fcis-26722	223	14	segmentation	segmentation	NOUN
fcis-26722	223	15	threshold	threshold	NOUN
fcis-26722	223	16	t	t	PROPN
fcis-26722	223	17	of	of	ADP
fcis-26722	223	18	the	the	DET
fcis-26722	223	19	gray	gray	ADJ
fcis-26722	223	20	image	image	NOUN
fcis-26722	223	21	.	.	PUNCT
fcis-26722	224	1	next	next	ADV
fcis-26722	224	2	,	,	PUNCT
fcis-26722	224	3	an	an	DET
fcis-26722	224	4	algorithm	algorithm	NOUN
fcis-26722	224	5	for	for	ADP
fcis-26722	224	6	solving	solve	VERB
fcis-26722	224	7	the	the	DET
fcis-26722	224	8	classification	classification	NOUN
fcis-26722	224	9	error	error	NOUN
fcis-26722	224	10			NOUN
fcis-26722	224	11	is	be	AUX
fcis-26722	224	12	given	give	VERB
fcis-26722	224	13	.	.	PUNCT
fcis-26722	225	1	it	it	PRON
fcis-26722	225	2	can	can	AUX
fcis-26722	225	3	be	be	AUX
fcis-26722	225	4	known	know	VERB
fcis-26722	225	5	from	from	ADP
fcis-26722	225	6	definitions	definition	NOUN
fcis-26722	225	7	2	2	NUM
fcis-26722	225	8	and	and	CCONJ
fcis-26722	225	9	3	3	NUM
fcis-26722	225	10	that	that	PRON
fcis-26722	225	11	(	(	PUNCT
fcis-26722	225	12	,	,	PUNCT
fcis-26722	225	13	)	)	PUNCT
fcis-26722	225	14	i	i	PRON
fcis-26722	225	15	ic	ic	VERB
fcis-26722	225	16	g	g	NOUN
fcis-26722	225	17	x	x	PRON
fcis-26722	225	18	can	can	AUX
fcis-26722	225	19	be	be	AUX
fcis-26722	225	20	understood	understand	VERB
fcis-26722	225	21	as	as	ADP
fcis-26722	225	22	the	the	DET
fcis-26722	225	23	majority	majority	NOUN
fcis-26722	225	24	inclusion	inclusion	NOUN
fcis-26722	225	25	relation	relation	NOUN
fcis-26722	225	26	of	of	ADP
fcis-26722	225	27	a	a	DET
fcis-26722	225	28	grayscale	grayscale	NOUN
fcis-26722	225	29	image	image	NOUN
fcis-26722	225	30	,	,	PUNCT
fcis-26722	225	31	and	and	CCONJ
fcis-26722	225	32	a	a	DET
fcis-26722	225	33	method	method	NOUN
fcis-26722	225	34	for	for	ADP
fcis-26722	225	35	solving	solve	VERB
fcis-26722	225	36	(	(	PUNCT
fcis-26722	225	37	,	,	PUNCT
fcis-26722	225	38	)	)	PUNCT
fcis-26722	226	1	i	i	PRON
fcis-26722	226	2	ic	ic	VERB
fcis-26722	226	3	g	g	PROPN
fcis-26722	226	4	x	x	PRON
fcis-26722	226	5	can	can	AUX
fcis-26722	226	6	be	be	AUX
fcis-26722	226	7	obtained	obtain	VERB
fcis-26722	226	8	.	.	PUNCT
fcis-26722	227	1	in	in	ADP
fcis-26722	227	2	fact	fact	NOUN
fcis-26722	227	3	,	,	PUNCT
fcis-26722	227	4	solving	solve	VERB
fcis-26722	227	5			PROPN
fcis-26722	227	6	has	have	VERB
fcis-26722	227	7	a	a	DET
fcis-26722	227	8	certain	certain	ADJ
fcis-26722	227	9	relationship	relationship	NOUN
fcis-26722	227	10	with	with	ADP
fcis-26722	227	11	majority	majority	NOUN
fcis-26722	227	12	inclusion	inclusion	NOUN
fcis-26722	227	13	relation	relation	NOUN
fcis-26722	227	14	.	.	PUNCT
fcis-26722	228	1	theorem	theorem	NOUN
fcis-26722	228	2	2	2	NUM
fcis-26722	228	3	can	can	AUX
fcis-26722	228	4	be	be	AUX
fcis-26722	228	5	used	use	VERB
fcis-26722	228	6	to	to	PART
fcis-26722	228	7	obtain	obtain	VERB
fcis-26722	228	8			NOUN
fcis-26722	228	9	corresponding	corresponding	NOUN
fcis-26722	228	10	to	to	ADP
fcis-26722	228	11	each	each	DET
fcis-26722	228	12	segmentation	segmentation	NOUN
fcis-26722	228	13	threshold	threshold	NOUN
fcis-26722	228	14	th	th	X
fcis-26722	228	15	.	.	PUNCT
fcis-26722	229	1	according	accord	VERB
fcis-26722	229	2	to	to	ADP
fcis-26722	229	3	the	the	DET
fcis-26722	229	4	theoretical	theoretical	ADJ
fcis-26722	229	5	knowledge	knowledge	NOUN
fcis-26722	229	6	of	of	ADP
fcis-26722	229	7	vprs	vprs	NOUN
fcis-26722	229	8	,	,	PUNCT
fcis-26722	229	9	the	the	PRON
fcis-26722	229	10	greater	great	ADJ
fcis-26722	229	11	the	the	DET
fcis-26722	229	12	degree	degree	NOUN
fcis-26722	229	13	of	of	ADP
fcis-26722	229	14	dependency	dependency	NOUN
fcis-26722	229	15	,	,	PUNCT
fcis-26722	229	16	the	the	PRON
fcis-26722	229	17	stronger	strong	ADJ
fcis-26722	229	18	the	the	DET
fcis-26722	229	19	degree	degree	NOUN
fcis-26722	229	20	of	of	ADP
fcis-26722	229	21	dependency	dependency	NOUN
fcis-26722	229	22	between	between	ADP
fcis-26722	229	23	attributes	attribute	NOUN
fcis-26722	229	24	.	.	PUNCT
fcis-26722	230	1	therefore	therefore	ADV
fcis-26722	230	2	,	,	PUNCT
fcis-26722	230	3	the	the	DET
fcis-26722	230	4	maximum	maximum	ADJ
fcis-26722	230	5	value	value	NOUN
fcis-26722	230	6	of	of	ADP
fcis-26722	230	7	the	the	DET
fcis-26722	230	8	vprs	vprs	NOUN
fcis-26722	230	9	dependency	dependency	NOUN
fcis-26722	230	10	is	be	AUX
fcis-26722	230	11	used	use	VERB
fcis-26722	230	12	as	as	ADP
fcis-26722	230	13	a	a	DET
fcis-26722	230	14	criterion	criterion	NOUN
fcis-26722	230	15	for	for	ADP
fcis-26722	230	16	measuring	measure	VERB
fcis-26722	230	17	the	the	DET
fcis-26722	230	18	optimal	optimal	ADJ
fcis-26722	230	19	segmentation	segmentation	NOUN
fcis-26722	230	20	threshold	threshold	NOUN
fcis-26722	230	21	t	t	PROPN
fcis-26722	230	22	,	,	PUNCT
fcis-26722	230	23	and	and	CCONJ
fcis-26722	230	24	the	the	DET
fcis-26722	230	25	dependency	dependency	NOUN
fcis-26722	230	26	of	of	ADP
fcis-26722	230	27	the	the	DET
fcis-26722	230	28	vprs	vprs	NOUN
fcis-26722	230	29	is	be	AUX
fcis-26722	230	30	used	use	VERB
fcis-26722	230	31	to	to	PART
fcis-26722	230	32	measure	measure	VERB
fcis-26722	230	33	the	the	DET
fcis-26722	230	34	target	target	NOUN
fcis-26722	230	35	set	set	VERB
fcis-26722	230	36	and	and	CCONJ
fcis-26722	230	37	the	the	DET
fcis-26722	230	38	background	background	NOUN
fcis-26722	230	39	set	set	NOUN
fcis-26722	230	40	of	of	ADP
fcis-26722	230	41	the	the	DET
fcis-26722	230	42	grayscale	grayscale	NOUN
fcis-26722	230	43	image	image	NOUN
fcis-26722	230	44	.	.	PUNCT
fcis-26722	231	1	because	because	SCONJ
fcis-26722	231	2	the	the	DET
fcis-26722	231	3	image	image	NOUN
fcis-26722	231	4	itself	itself	PRON
fcis-26722	231	5	has	have	VERB
fcis-26722	231	6	a	a	DET
fcis-26722	231	7	large	large	ADJ
fcis-26722	231	8	order	order	NOUN
fcis-26722	231	9	of	of	ADP
fcis-26722	231	10	magnitude	magnitude	NOUN
fcis-26722	231	11	,	,	PUNCT
fcis-26722	231	12	it	it	PRON
fcis-26722	231	13	is	be	AUX
fcis-26722	231	14	less	less	ADV
fcis-26722	231	15	efficient	efficient	ADJ
fcis-26722	231	16	to	to	PART
fcis-26722	231	17	solve	solve	VERB
fcis-26722	231	18	t	t	NOUN
fcis-26722	231	19	using	use	VERB
fcis-26722	231	20	ordinary	ordinary	ADJ
fcis-26722	231	21	iterative	iterative	ADJ
fcis-26722	231	22	methods	method	NOUN
fcis-26722	231	23	,	,	PUNCT
fcis-26722	231	24	so	so	SCONJ
fcis-26722	231	25	we	we	PRON
fcis-26722	231	26	introduce	introduce	VERB
fcis-26722	231	27	the	the	DET
fcis-26722	231	28	intelligent	intelligent	ADJ
fcis-26722	231	29	algorithm	algorithm	NOUN
fcis-26722	231	30	pso	pso	NOUN
fcis-26722	231	31	to	to	PART
fcis-26722	231	32	improve	improve	VERB
fcis-26722	231	33	the	the	DET
fcis-26722	231	34	efficiency	efficiency	NOUN
fcis-26722	231	35	of	of	ADP
fcis-26722	231	36	solving	solve	VERB
fcis-26722	231	37	t	t	PROPN
fcis-26722	231	38	.	.	PUNCT
fcis-26722	232	1	therefore	therefore	ADV
fcis-26722	232	2	,	,	PUNCT
fcis-26722	232	3	we	we	PRON
fcis-26722	232	4	propose	propose	VERB
fcis-26722	232	5	an	an	DET
fcis-26722	232	6	image	image	NOUN
fcis-26722	232	7	segmentation	segmentation	NOUN
fcis-26722	232	8	algorithm	algorithm	NOUN
fcis-26722	232	9	using	use	VERB
fcis-26722	232	10	vprs	vprs	NOUN
fcis-26722	232	11	maximum	maximum	ADJ
fcis-26722	232	12	dependency	dependency	NOUN
fcis-26722	232	13	and	and	CCONJ
fcis-26722	232	14	pso	pso	NOUN
fcis-26722	232	15	.	.	PUNCT
fcis-26722	233	1	when	when	SCONJ
fcis-26722	233	2	the	the	DET
fcis-26722	233	3	vprs	vprs	NOUN
fcis-26722	233	4	dependency	dependency	NOUN
fcis-26722	233	5	is	be	AUX
fcis-26722	233	6	the	the	DET
fcis-26722	233	7	largest	large	ADJ
fcis-26722	233	8	,	,	PUNCT
fcis-26722	233	9	not	not	PART
fcis-26722	233	10	only	only	ADV
fcis-26722	233	11	the	the	DET
fcis-26722	233	12	corresponding	correspond	VERB
fcis-26722	233	13	segmentation	segmentation	NOUN
fcis-26722	233	14	threshold	threshold	NOUN
fcis-26722	233	15	is	be	AUX
fcis-26722	233	16	the	the	DET
fcis-26722	233	17	best	good	ADJ
fcis-26722	233	18	,	,	PUNCT
fcis-26722	233	19	but	but	CCONJ
fcis-26722	233	20	the	the	DET
fcis-26722	233	21	corresponding	correspond	VERB
fcis-26722	233	22	classification	classification	NOUN
fcis-26722	233	23	error	error	NOUN
fcis-26722	233	24			NOUN
fcis-26722	233	25	is	be	AUX
fcis-26722	233	26	also	also	ADV
fcis-26722	233	27	the	the	DET
fcis-26722	233	28	best	good	ADJ
fcis-26722	233	29	.	.	PUNCT
fcis-26722	234	1	therefore	therefore	ADV
fcis-26722	234	2	,	,	PUNCT
fcis-26722	234	3	the	the	DET
fcis-26722	234	4	vprs	vprs	NOUN
fcis-26722	234	5	dependency	dependency	NOUN
fcis-26722	234	6	and	and	CCONJ
fcis-26722	234	7			NOUN
fcis-26722	234	8	are	be	AUX
fcis-26722	234	9	in	in	ADP
fcis-26722	234	10	a	a	DET
fcis-26722	234	11	one	one	NUM
fcis-26722	234	12	-	-	PUNCT
fcis-26722	234	13	to	to	ADP
fcis-26722	234	14	-	-	PUNCT
fcis-26722	234	15	one	one	NUM
fcis-26722	234	16	correspondence	correspondence	NOUN
fcis-26722	234	17	relationship	relationship	NOUN
fcis-26722	234	18	.	.	PUNCT
fcis-26722	235	1	generally	generally	ADV
fcis-26722	235	2	,	,	PUNCT
fcis-26722	235	3			PROPN
fcis-26722	235	4	is	be	AUX
fcis-26722	235	5	determined	determine	VERB
fcis-26722	235	6	through	through	ADP
fcis-26722	235	7	experience	experience	NOUN
fcis-26722	235	8	,	,	PUNCT
fcis-26722	235	9	but	but	CCONJ
fcis-26722	235	10	obviously	obviously	ADV
fcis-26722	235	11	there	there	PRON
fcis-26722	235	12	is	be	VERB
fcis-26722	235	13	some	some	DET
fcis-26722	235	14	blindness	blindness	NOUN
fcis-26722	235	15	.	.	PUNCT
fcis-26722	236	1	here	here	ADV
fcis-26722	236	2	we	we	PRON
fcis-26722	236	3	use	use	VERB
fcis-26722	236	4	vprs	vprs	NOUN
fcis-26722	236	5	theoretical	theoretical	ADJ
fcis-26722	236	6	knowledge	knowledge	NOUN
fcis-26722	236	7	and	and	CCONJ
fcis-26722	236	8	theorem	theorem	VERB
fcis-26722	236	9	2	2	NUM
fcis-26722	236	10	to	to	PART
fcis-26722	236	11	solve	solve	VERB
fcis-26722	236	12			PROPN
fcis-26722	236	13	,	,	PUNCT
fcis-26722	236	14	which	which	PRON
fcis-26722	236	15	will	will	AUX
fcis-26722	236	16	get	get	VERB
fcis-26722	236	17	effective	effective	ADJ
fcis-26722	236	18	and	and	CCONJ
fcis-26722	236	19	practical	practical	ADJ
fcis-26722	236	20			NOUN
fcis-26722	236	21	,	,	PUNCT
fcis-26722	236	22	and	and	CCONJ
fcis-26722	236	23	the	the	DET
fcis-26722	236	24	calculation	calculation	NOUN
fcis-26722	236	25	process	process	NOUN
fcis-26722	236	26	is	be	AUX
fcis-26722	236	27	not	not	PART
fcis-26722	236	28	blind	blind	ADJ
fcis-26722	236	29	.	.	PUNCT
fcis-26722	237	1	of	of	ADP
fcis-26722	237	2	course	course	ADV
fcis-26722	237	3	,	,	PUNCT
fcis-26722	237	4	we	we	PRON
fcis-26722	237	5	must	must	AUX
fcis-26722	237	6	also	also	ADV
fcis-26722	237	7	consider	consider	VERB
fcis-26722	237	8	the	the	DET
fcis-26722	237	9	actual	actual	ADJ
fcis-26722	237	10	situation	situation	NOUN
fcis-26722	237	11	for	for	ADP
fcis-26722	237	12	specific	specific	ADJ
fcis-26722	237	13	problems	problem	NOUN
fcis-26722	237	14	.	.	PUNCT
fcis-26722	238	1	from	from	ADP
fcis-26722	238	2	definition	definition	NOUN
fcis-26722	238	3	5	5	NUM
fcis-26722	238	4	,	,	PUNCT
fcis-26722	238	5	we	we	PRON
fcis-26722	238	6	can	can	AUX
fcis-26722	238	7	see	see	VERB
fcis-26722	238	8	that	that	SCONJ
fcis-26722	238	9	the	the	DET
fcis-26722	238	10	dependency	dependency	NOUN
fcis-26722	238	11	between	between	ADP
fcis-26722	238	12	the	the	DET
fcis-26722	238	13	foreground	foreground	NOUN
fcis-26722	238	14	and	and	CCONJ
fcis-26722	238	15	background	background	NOUN
fcis-26722	238	16	sets	set	NOUN
fcis-26722	238	17	of	of	ADP
fcis-26722	238	18	the	the	DET
fcis-26722	238	19	image	image	NOUN
fcis-26722	238	20	is	be	AUX
fcis-26722	238	21	as	as	SCONJ
fcis-26722	238	22	follows	follow	VERB
fcis-26722	238	23	:	:	PUNCT
fcis-26722	238	24	(	(	PUNCT
fcis-26722	238	25	(	(	PUNCT
fcis-26722	238	26	)	)	PUNCT
fcis-26722	238	27	)	)	PUNCT
fcis-26722	239	1	(	(	PUNCT
fcis-26722	239	2	(	(	PUNCT
fcis-26722	239	3	)	)	PUNCT
fcis-26722	239	4	)	)	PUNCT
fcis-26722	239	5	(	(	PUNCT
fcis-26722	239	6	)	)	PUNCT
fcis-26722	239	7	(	(	PUNCT
fcis-26722	239	8	)	)	PUNCT
fcis-26722	239	9	b	b	X
fcis-26722	239	10	card	card	NOUN
fcis-26722	239	11	poso	poso	NOUN
fcis-26722	239	12	th	th	X
fcis-26722	239	13	card	card	NOUN
fcis-26722	239	14	posb	posb	NOUN
fcis-26722	239	15	th	th	X
fcis-26722	239	16	o	o	NOUN
fcis-26722	239	17	card	card	NOUN
fcis-26722	239	18	u	u	PROPN
fcis-26722	239	19			PROPN
fcis-26722	239	20			NOUN
fcis-26722	239	21			VERB
fcis-26722	239	22			PRON
fcis-26722	239	23	(	(	PUNCT
fcis-26722	239	24	8)	8)	NUM
fcis-26722	239	25	3.2	3.2	NUM
fcis-26722	239	26	.	.	PUNCT
fcis-26722	240	1	algorithm	algorithm	NOUN
fcis-26722	240	2	steps	step	VERB
fcis-26722	240	3	the	the	DET
fcis-26722	240	4	steps	step	NOUN
fcis-26722	240	5	of	of	ADP
fcis-26722	240	6	the	the	DET
fcis-26722	240	7	threshold	threshold	NOUN
fcis-26722	240	8	segmentation	segmentation	NOUN
fcis-26722	240	9	algorithm	algorithm	NOUN
fcis-26722	240	10	are	be	AUX
fcis-26722	240	11	described	describe	VERB
fcis-26722	240	12	below	below	ADV
fcis-26722	240	13	.	.	PUNCT
fcis-26722	241	1	input	input	NOUN
fcis-26722	241	2	:	:	PUNCT
fcis-26722	241	3	a	a	DET
fcis-26722	241	4	domain	domain	NOUN
fcis-26722	241	5	u	u	NOUN
fcis-26722	241	6	composed	compose	VERB
fcis-26722	241	7	of	of	ADP
fcis-26722	241	8	all	all	DET
fcis-26722	241	9	gray	gray	ADJ
fcis-26722	241	10	values	value	NOUN
fcis-26722	241	11	of	of	ADP
fcis-26722	241	12	image	image	NOUN
fcis-26722	241	13	f	f	PROPN
fcis-26722	241	14	.	.	PUNCT
fcis-26722	242	1	output	output	NOUN
fcis-26722	242	2	:	:	PUNCT
fcis-26722	242	3	the	the	DET
fcis-26722	242	4	optimal	optimal	ADJ
fcis-26722	242	5	segmentation	segmentation	NOUN
fcis-26722	242	6	threshold	threshold	NOUN
fcis-26722	242	7	t	t	PROPN
fcis-26722	242	8	for	for	ADP
fcis-26722	242	9	grayscale	grayscale	NOUN
fcis-26722	242	10	image	image	NOUN
fcis-26722	242	11	.	.	PUNCT
fcis-26722	243	1	step	step	NOUN
fcis-26722	243	2	1	1	NUM
fcis-26722	243	3	:	:	PUNCT
fcis-26722	243	4	the	the	DET
fcis-26722	243	5	domain	domain	NOUN
fcis-26722	243	6	u	u	NOUN
fcis-26722	243	7	is	be	AUX
fcis-26722	243	8	divided	divide	VERB
fcis-26722	243	9	into	into	ADP
fcis-26722	243	10	a	a	DET
fcis-26722	243	11	target	target	NOUN
fcis-26722	243	12	set	set	VERB
fcis-26722	243	13	and	and	CCONJ
fcis-26722	243	14	a	a	DET
fcis-26722	243	15	background	background	NOUN
fcis-26722	243	16	set	set	VERB
fcis-26722	243	17	by	by	ADP
fcis-26722	243	18	an	an	DET
fcis-26722	243	19	initial	initial	ADJ
fcis-26722	243	20	segmentation	segmentation	NOUN
fcis-26722	243	21	threshold	threshold	NOUN
fcis-26722	243	22	th	th	X
fcis-26722	243	23	.	.	PUNCT
fcis-26722	244	1	step	step	NOUN
fcis-26722	244	2	2	2	NUM
fcis-26722	244	3	:	:	PUNCT
fcis-26722	244	4	an	an	DET
fcis-26722	244	5	image	image	NOUN
fcis-26722	244	6	f	f	NOUN
fcis-26722	244	7	of	of	ADP
fcis-26722	244	8	size	size	NOUN
fcis-26722	244	9	n	n	PRON
fcis-26722	244	10	m	m	NOUN
fcis-26722	244	11	is	be	AUX
fcis-26722	244	12	divided	divide	VERB
fcis-26722	244	13	into	into	ADP
fcis-26722	244	14	several	several	ADJ
fcis-26722	244	15	sub	sub	NOUN
fcis-26722	244	16	-	-	NOUN
fcis-26722	244	17	blocks	block	NOUN
fcis-26722	244	18	of	of	ADP
fcis-26722	244	19	size	size	NOUN
fcis-26722	244	20	n	n	DET
fcis-26722	244	21	m	m	NOUN
fcis-26722	244	22	.	.	PUNCT
fcis-26722	245	1	step	step	NOUN
fcis-26722	245	2	3	3	NUM
fcis-26722	245	3	:	:	PUNCT
fcis-26722	245	4	initialize	initialize	VERB
fcis-26722	245	5	the	the	DET
fcis-26722	245	6	velocity	velocity	NOUN
fcis-26722	245	7	,	,	PUNCT
fcis-26722	245	8	position	position	NOUN
fcis-26722	245	9	,	,	PUNCT
fcis-26722	245	10	and	and	CCONJ
fcis-26722	245	11	population	population	NOUN
fcis-26722	245	12	of	of	ADP
fcis-26722	245	13	each	each	DET
fcis-26722	245	14	particle	particle	NOUN
fcis-26722	245	15	(	(	PUNCT
fcis-26722	245	16	think	think	VERB
fcis-26722	245	17	of	of	ADP
fcis-26722	245	18	a	a	DET
fcis-26722	245	19	sub	sub	NOUN
fcis-26722	245	20	-	-	NOUN
fcis-26722	245	21	block	block	NOUN
fcis-26722	245	22	of	of	ADP
fcis-26722	245	23	size	size	NOUN
fcis-26722	245	24	n	n	DET
fcis-26722	245	25	m	m	NOUN
fcis-26722	245	26	as	as	ADP
fcis-26722	245	27	a	a	DET
fcis-26722	245	28	particle	particle	NOUN
fcis-26722	245	29	)	)	PUNCT
fcis-26722	245	30	.	.	PUNCT
fcis-26722	246	1	the	the	DET
fcis-26722	246	2	maximum	maximum	ADJ
fcis-26722	246	3	dependency	dependency	NOUN
fcis-26722	246	4	of	of	ADP
fcis-26722	246	5	vprs	vprs	NOUN
fcis-26722	246	6	is	be	AUX
fcis-26722	246	7	used	use	VERB
fcis-26722	246	8	as	as	ADP
fcis-26722	246	9	the	the	DET
fcis-26722	246	10	fitness	fitness	NOUN
fcis-26722	246	11	function	function	NOUN
fcis-26722	246	12	.	.	PUNCT
fcis-26722	247	1	step	step	NOUN
fcis-26722	247	2	4	4	NUM
fcis-26722	247	3	:	:	PUNCT
fcis-26722	247	4	calculates	calculate	VERB
fcis-26722	247	5	the	the	DET
fcis-26722	247	6	fitness	fitness	NOUN
fcis-26722	247	7	value	value	NOUN
fcis-26722	247	8	of	of	ADP
fcis-26722	247	9	the	the	DET
fcis-26722	247	10	current	current	ADJ
fcis-26722	247	11	particle	particle	NOUN
fcis-26722	247	12	.	.	PUNCT
fcis-26722	248	1	step	step	NOUN
fcis-26722	248	2	4.1	4.1	NUM
fcis-26722	248	3	:	:	PUNCT
fcis-26722	248	4	the	the	DET
fcis-26722	248	5	classification	classification	NOUN
fcis-26722	248	6	error	error	NOUN
fcis-26722	248	7			NOUN
fcis-26722	248	8	of	of	ADP
fcis-26722	248	9	the	the	DET
fcis-26722	248	10	target	target	NOUN
fcis-26722	248	11	set	set	VERB
fcis-26722	248	12	and	and	CCONJ
fcis-26722	248	13	the	the	DET
fcis-26722	248	14	background	background	NOUN
fcis-26722	248	15	set	set	NOUN
fcis-26722	248	16	of	of	ADP
fcis-26722	248	17	the	the	DET
fcis-26722	248	18	current	current	ADJ
fcis-26722	248	19	particle	particle	NOUN
fcis-26722	248	20	is	be	AUX
fcis-26722	248	21	calculated	calculate	VERB
fcis-26722	248	22	by	by	ADP
fcis-26722	248	23	formula	formula	NOUN
fcis-26722	248	24	(	(	PUNCT
fcis-26722	248	25	1	1	NUM
fcis-26722	248	26	)	)	PUNCT
fcis-26722	248	27	and	and	CCONJ
fcis-26722	248	28	theorem	theorem	VERB
fcis-26722	248	29	2	2	NUM
fcis-26722	248	30	.	.	NOUN
fcis-26722	248	31	step	step	NOUN
fcis-26722	248	32	4.2	4.2	NUM
fcis-26722	248	33	:	:	PUNCT
fcis-26722	248	34	solve	solve	NOUN
fcis-26722	248	35	(	(	PUNCT
fcis-26722	248	36	)	)	PUNCT
fcis-26722	248	37	poso	poso	PROPN
fcis-26722	248	38	th	th	X
fcis-26722	248	39	and	and	CCONJ
fcis-26722	248	40	(	(	PUNCT
fcis-26722	248	41	)	)	PUNCT
fcis-26722	248	42	posb	posb	PROPN
fcis-26722	248	43	th	th	NOUN
fcis-26722	248	44	of	of	ADP
fcis-26722	248	45	the	the	DET
fcis-26722	248	46	current	current	ADJ
fcis-26722	248	47	particle	particle	NOUN
fcis-26722	248	48	through	through	ADP
fcis-26722	248	49	step	step	NOUN
fcis-26722	248	50	4.1	4.1	NUM
fcis-26722	248	51	.	.	PUNCT
fcis-26722	249	1	step	step	NOUN
fcis-26722	249	2	4.3	4.3	NUM
fcis-26722	249	3	:	:	PUNCT
fcis-26722	249	4	initialize	initialize	VERB
fcis-26722	249	5	the	the	DET
fcis-26722	249	6	position	position	NOUN
fcis-26722	249	7	of	of	ADP
fcis-26722	249	8	the	the	DET
fcis-26722	249	9	current	current	ADJ
fcis-26722	249	10	particle	particle	NOUN
fcis-26722	249	11	by	by	ADP
fcis-26722	249	12	step	step	NOUN
fcis-26722	249	13	4.2	4.2	NUM
fcis-26722	249	14	,	,	PUNCT
fcis-26722	249	15	formula	formula	NOUN
fcis-26722	249	16	(	(	PUNCT
fcis-26722	249	17	8)	8)	NUM
fcis-26722	249	18	and	and	CCONJ
fcis-26722	249	19	step	step	NOUN
fcis-26722	249	20	3	3	NUM
fcis-26722	249	21	,	,	PUNCT
fcis-26722	249	22	and	and	CCONJ
fcis-26722	249	23	calculate	calculate	VERB
fcis-26722	249	24	the	the	DET
fcis-26722	249	25	fitness	fitness	NOUN
fcis-26722	249	26	value	value	NOUN
fcis-26722	249	27	of	of	ADP
fcis-26722	249	28	the	the	DET
fcis-26722	249	29	current	current	ADJ
fcis-26722	249	30	particle	particle	NOUN
fcis-26722	249	31	.	.	PUNCT
fcis-26722	250	1	step	step	NOUN
fcis-26722	250	2	5	5	NUM
fcis-26722	250	3	:	:	PUNCT
fcis-26722	250	4	calculate	calculate	VERB
fcis-26722	250	5	the	the	DET
fcis-26722	250	6	current	current	ADJ
fcis-26722	250	7	particle	particle	NOUN
fcis-26722	250	8	dependency	dependency	NOUN
fcis-26722	250	9	(	(	PUNCT
fcis-26722	250	10	)	)	PUNCT
fcis-26722	251	1	b	b	NOUN
fcis-26722	251	2	o	o	NOUN
fcis-26722	251	3	through	through	ADP
fcis-26722	251	4	step	step	NOUN
fcis-26722	251	5	4.3	4.3	NUM
fcis-26722	251	6	.	.	PUNCT
fcis-26722	252	1	if	if	SCONJ
fcis-26722	252	2	(	(	PUNCT
fcis-26722	252	3	)	)	PUNCT
fcis-26722	252	4	b	b	NOUN
fcis-26722	252	5	o	o	X
fcis-26722	252	6	>	>	X
fcis-26722	252	7	idpbest	idpbest	PROPN
fcis-26722	252	8	,	,	PUNCT
fcis-26722	252	9	then	then	ADV
fcis-26722	252	10	(	(	PUNCT
fcis-26722	252	11	)	)	PUNCT
fcis-26722	252	12	i	i	NOUN
fcis-26722	252	13	d	d	PROPN
fcis-26722	252	14	bpbest	bpbest	VERB
fcis-26722	252	15	o	o	PROPN
fcis-26722	252	16	.	.	PUNCT
fcis-26722	253	1	(	(	PUNCT
fcis-26722	253	2	initialize	initialize	VERB
fcis-26722	253	3	the	the	DET
fcis-26722	253	4	individual	individual	ADJ
fcis-26722	253	5	optimal	optimal	ADJ
fcis-26722	253	6	solution	solution	NOUN
fcis-26722	253	7	)	)	PUNCT
fcis-26722	253	8	step	step	NOUN
fcis-26722	253	9	6	6	NUM
fcis-26722	253	10	:	:	PUNCT
fcis-26722	253	11	calculate	calculate	VERB
fcis-26722	253	12	the	the	DET
fcis-26722	253	13	current	current	ADJ
fcis-26722	253	14	particle	particle	NOUN
fcis-26722	253	15	dependency	dependency	NOUN
fcis-26722	253	16	(	(	PUNCT
fcis-26722	253	17	)	)	PUNCT
fcis-26722	253	18	b	b	NOUN
fcis-26722	253	19	o	o	NOUN
fcis-26722	253	20	through	through	ADP
fcis-26722	253	21	step	step	NOUN
fcis-26722	253	22	4.3	4.3	NUM
fcis-26722	253	23	.	.	PUNCT
fcis-26722	254	1	if	if	SCONJ
fcis-26722	254	2	idpbest	idpb	ADJ
fcis-26722	254	3	>	>	X
fcis-26722	254	4	dgbest	dgbest	NOUN
fcis-26722	254	5	,	,	PUNCT
fcis-26722	254	6	then	then	ADV
fcis-26722	254	7	d	d	X
fcis-26722	254	8	idgbest	idgbest	NOUN
fcis-26722	254	9	pbest	pbest	NOUN
fcis-26722	254	10	.	.	PUNCT
fcis-26722	255	1	(	(	PUNCT
fcis-26722	255	2	initialize	initialize	VERB
fcis-26722	255	3	the	the	DET
fcis-26722	255	4	local	local	ADJ
fcis-26722	255	5	optimal	optimal	ADJ
fcis-26722	255	6	solution	solution	NOUN
fcis-26722	255	7	)	)	PUNCT
fcis-26722	255	8	.	.	PUNCT
fcis-26722	256	1	step	step	NOUN
fcis-26722	256	2	7	7	NUM
fcis-26722	256	3	:	:	PUNCT
fcis-26722	256	4	the	the	DET
fcis-26722	256	5	position	position	NOUN
fcis-26722	256	6	and	and	CCONJ
fcis-26722	256	7	velocity	velocity	NOUN
fcis-26722	256	8	of	of	ADP
fcis-26722	256	9	the	the	DET
fcis-26722	256	10	current	current	ADJ
fcis-26722	256	11	particle	particle	NOUN
fcis-26722	256	12	are	be	AUX
fcis-26722	256	13	evolved	evolve	VERB
fcis-26722	256	14	by	by	ADP
fcis-26722	256	15	formula	formula	NOUN
fcis-26722	256	16	(	(	PUNCT
fcis-26722	256	17	5	5	NUM
fcis-26722	256	18	)	)	PUNCT
fcis-26722	256	19	,	,	PUNCT
fcis-26722	256	20	formula	formula	NOUN
fcis-26722	256	21	(	(	PUNCT
fcis-26722	256	22	6	6	NUM
fcis-26722	256	23	)	)	PUNCT
fcis-26722	256	24	,	,	PUNCT
fcis-26722	256	25	step	step	NOUN
fcis-26722	256	26	5	5	NUM
fcis-26722	256	27	and	and	CCONJ
fcis-26722	256	28	step	step	VERB
fcis-26722	256	29	6	6	NUM
fcis-26722	256	30	.	.	PUNCT
fcis-26722	257	1	(	(	PUNCT
fcis-26722	257	2	here	here	ADV
fcis-26722	257	3	1	1	NUM
fcis-26722	257	4	2	2	NUM
fcis-26722	257	5	2c	2c	NUM
fcis-26722	257	6	c	c	NOUN
fcis-26722	258	1			PRON
fcis-26722	258	2	,	,	PUNCT
fcis-26722	258	3	1rand	1rand	NUM
fcis-26722	258	4	and	and	CCONJ
fcis-26722	258	5	2rand	2rand	NUM
fcis-26722	258	6	are	be	AUX
fcis-26722	258	7	random	random	ADJ
fcis-26722	258	8	numbers	number	NOUN
fcis-26722	258	9	in	in	ADP
fcis-26722	258	10	[	[	X
fcis-26722	258	11	0,1	0,1	NUM
fcis-26722	258	12	]	]	PUNCT
fcis-26722	258	13	,	,	PUNCT
fcis-26722	258	14	and	and	CCONJ
fcis-26722	258	15	the	the	DET
fcis-26722	258	16	inertia	inertia	NOUN
fcis-26722	258	17	weight	weight	NOUN
fcis-26722	258	18	is	be	AUX
fcis-26722	258	19	0.6	0.6	NOUN
fcis-26722	258	20			NUM
fcis-26722	258	21	)	)	PUNCT
fcis-26722	258	22	step	step	NOUN
fcis-26722	258	23	8	8	NUM
fcis-26722	258	24	:	:	PUNCT
fcis-26722	258	25	if	if	SCONJ
fcis-26722	258	26	(	(	PUNCT
fcis-26722	258	27	if	if	SCONJ
fcis-26722	258	28	)	)	PUNCT
fcis-26722	258	29	the	the	DET
fcis-26722	258	30	threshold	threshold	NOUN
fcis-26722	258	31	corresponding	correspond	VERB
fcis-26722	258	32	to	to	ADP
fcis-26722	258	33	the	the	DET
fcis-26722	258	34	maximum	maximum	ADJ
fcis-26722	258	35	dependency	dependency	NOUN
fcis-26722	258	36	is	be	AUX
fcis-26722	258	37	found	find	VERB
fcis-26722	258	38	,	,	PUNCT
fcis-26722	258	39	the	the	DET
fcis-26722	258	40	result	result	NOUN
fcis-26722	258	41	is	be	AUX
fcis-26722	258	42	output	output	NOUN
fcis-26722	258	43	and	and	CCONJ
fcis-26722	258	44	the	the	DET
fcis-26722	258	45	program	program	NOUN
fcis-26722	258	46	ends	end	VERB
fcis-26722	258	47	.	.	PUNCT
fcis-26722	259	1	otherwise	otherwise	ADV
fcis-26722	259	2	(	(	PUNCT
fcis-26722	259	3	else	else	ADV
fcis-26722	259	4	)	)	PUNCT
fcis-26722	259	5	repeat	repeat	NOUN
fcis-26722	259	6	step	step	NOUN
fcis-26722	259	7	4	4	NUM
fcis-26722	259	8	,	,	PUNCT
fcis-26722	259	9	step	step	NOUN
fcis-26722	259	10	5	5	NUM
fcis-26722	259	11	,	,	PUNCT
fcis-26722	259	12	step	step	NOUN
fcis-26722	259	13	6	6	NUM
fcis-26722	259	14	and	and	CCONJ
fcis-26722	259	15	step	step	NOUN
fcis-26722	259	16	7	7	NUM
fcis-26722	259	17	.	.	PUNCT
fcis-26722	260	1	until	until	SCONJ
fcis-26722	260	2	the	the	DET
fcis-26722	260	3	threshold	threshold	NOUN
fcis-26722	260	4	corresponding	correspond	VERB
fcis-26722	260	5	to	to	ADP
fcis-26722	260	6	the	the	DET
fcis-26722	260	7	maximum	maximum	ADJ
fcis-26722	260	8	dependency	dependency	NOUN
fcis-26722	260	9	is	be	AUX
fcis-26722	260	10	found	find	VERB
fcis-26722	260	11	,	,	PUNCT
fcis-26722	260	12	the	the	DET
fcis-26722	260	13	result	result	NOUN
fcis-26722	260	14	is	be	AUX
fcis-26722	260	15	output	output	NOUN
fcis-26722	260	16	,	,	PUNCT
fcis-26722	260	17	and	and	CCONJ
fcis-26722	260	18	the	the	DET
fcis-26722	260	19	program	program	NOUN
fcis-26722	260	20	ends	end	VERB
fcis-26722	260	21	.	.	PUNCT
fcis-26722	261	1	4	4	X
fcis-26722	261	2	.	.	X
fcis-26722	261	3	experiment	experiment	NOUN
fcis-26722	261	4	analysis	analysis	NOUN
fcis-26722	261	5	in	in	ADP
fcis-26722	261	6	the	the	DET
fcis-26722	261	7	process	process	NOUN
fcis-26722	261	8	of	of	ADP
fcis-26722	261	9	segmenting	segment	VERB
fcis-26722	261	10	a	a	DET
fcis-26722	261	11	grayscale	grayscale	NOUN
fcis-26722	261	12	image	image	NOUN
fcis-26722	261	13	using	use	VERB
fcis-26722	261	14	the	the	DET
fcis-26722	261	15	proposed	propose	VERB
fcis-26722	261	16	algorithm	algorithm	NOUN
fcis-26722	261	17	,	,	PUNCT
fcis-26722	261	18	the	the	DET
fcis-26722	261	19	changes	change	NOUN
fcis-26722	261	20	in	in	ADP
fcis-26722	261	21	the	the	DET
fcis-26722	261	22	dependency	dependency	NOUN
fcis-26722	261	23	,	,	PUNCT
fcis-26722	261	24	classification	classification	NOUN
fcis-26722	261	25	error	error	NOUN
fcis-26722	261	26	,	,	PUNCT
fcis-26722	261	27	and	and	CCONJ
fcis-26722	261	28	segmentation	segmentation	NOUN
fcis-26722	261	29	threshold	threshold	NOUN
fcis-26722	261	30	are	be	AUX
fcis-26722	261	31	shown	show	VERB
fcis-26722	261	32	in	in	ADP
fcis-26722	261	33	table	table	NOUN
fcis-26722	261	34	2	2	NUM
fcis-26722	261	35	.	.	X
fcis-26722	261	36	101	101	NUM
fcis-26722	261	37	table	table	NOUN
fcis-26722	261	38	2	2	NUM
fcis-26722	261	39	.	.	PUNCT
fcis-26722	262	1	variations	variation	NOUN
fcis-26722	262	2	of	of	ADP
fcis-26722	262	3	various	various	ADJ
fcis-26722	262	4	variables	variable	NOUN
fcis-26722	262	5	in	in	ADP
fcis-26722	262	6	image	image	NOUN
fcis-26722	262	7	segmentation	segmentation	NOUN
fcis-26722	262	8	th	th	X
fcis-26722	262	9	(	(	PUNCT
fcis-26722	262	10	segmentation	segmentation	NOUN
fcis-26722	262	11	threshold	threshold	NOUN
fcis-26722	262	12	)	)	PUNCT
fcis-26722	263	1			NOUN
fcis-26722	263	2	(	(	PUNCT
fcis-26722	263	3	classification	classification	NOUN
fcis-26722	263	4	error	error	NOUN
fcis-26722	263	5	)	)	PUNCT
fcis-26722	263	6	(	(	PUNCT
fcis-26722	263	7	)	)	PUNCT
fcis-26722	263	8	b	b	X
fcis-26722	263	9	o	o	NOUN
fcis-26722	263	10	(	(	PUNCT
fcis-26722	263	11	dependency	dependency	NOUN
fcis-26722	263	12	)	)	PUNCT
fcis-26722	263	13	25	25	NUM
fcis-26722	263	14	0.4754	0.4754	NUM
fcis-26722	263	15	0.0048	0.0048	NUM
fcis-26722	263	16	37	37	NUM
fcis-26722	263	17	0.4702	0.4702	NUM
fcis-26722	263	18	0.0037	0.0037	NUM
fcis-26722	263	19	43	43	NUM
fcis-26722	263	20	0.4765	0.4765	NUM
fcis-26722	263	21	0.0021	0.0021	NUM
fcis-26722	263	22	56	56	NUM
fcis-26722	263	23	0.4518	0.4518	NUM
fcis-26722	263	24	0.0065	0.0065	NUM
fcis-26722	263	25	76	76	NUM
fcis-26722	263	26	0.4534	0.4534	NUM
fcis-26722	263	27	0.0015	0.0015	NUM
fcis-26722	263	28	139	139	NUM
fcis-26722	263	29	0.4831	0.4831	NUM
fcis-26722	263	30	0.0061	0.0061	NUM
fcis-26722	263	31	152	152	NUM
fcis-26722	263	32	0.4989	0.4989	NUM
fcis-26722	263	33	0.0025	0.0025	NUM
fcis-26722	263	34	195	195	NUM
fcis-26722	263	35	0.4624	0.4624	NUM
fcis-26722	263	36	0.0036	0.0036	NUM
fcis-26722	263	37	214	214	NUM
fcis-26722	263	38	0.4812	0.4812	NUM
fcis-26722	263	39	0.0027	0.0027	NUM
fcis-26722	263	40	only	only	ADV
fcis-26722	263	41	representative	representative	ADJ
fcis-26722	263	42	values	value	NOUN
fcis-26722	263	43	were	be	AUX
fcis-26722	263	44	selected	select	VERB
fcis-26722	263	45	throughout	throughout	ADP
fcis-26722	263	46	the	the	DET
fcis-26722	263	47	algorithm	algorithm	NOUN
fcis-26722	263	48	.	.	PUNCT
fcis-26722	264	1	it	it	PRON
fcis-26722	264	2	can	can	AUX
fcis-26722	264	3	be	be	AUX
fcis-26722	264	4	known	know	VERB
fcis-26722	264	5	from	from	ADP
fcis-26722	264	6	table	table	NOUN
fcis-26722	264	7	2	2	NUM
fcis-26722	264	8	that	that	SCONJ
fcis-26722	264	9	the	the	DET
fcis-26722	264	10	theoretical	theoretical	ADJ
fcis-26722	264	11	process	process	NOUN
fcis-26722	264	12	of	of	ADP
fcis-26722	264	13	segmenting	segment	VERB
fcis-26722	264	14	images	image	NOUN
fcis-26722	264	15	using	use	VERB
fcis-26722	264	16	the	the	DET
fcis-26722	264	17	proposed	propose	VERB
fcis-26722	264	18	algorithm	algorithm	NOUN
fcis-26722	264	19	is	be	AUX
fcis-26722	264	20	basically	basically	ADV
fcis-26722	264	21	consistent	consistent	ADJ
fcis-26722	264	22	with	with	ADP
fcis-26722	264	23	the	the	DET
fcis-26722	264	24	actual	actual	ADJ
fcis-26722	264	25	process	process	NOUN
fcis-26722	264	26	.	.	PUNCT
fcis-26722	265	1	in	in	ADP
fcis-26722	265	2	the	the	DET
fcis-26722	265	3	implementation	implementation	NOUN
fcis-26722	265	4	of	of	ADP
fcis-26722	265	5	the	the	DET
fcis-26722	265	6	proposed	propose	VERB
fcis-26722	265	7	algorithm	algorithm	NOUN
fcis-26722	265	8	,	,	PUNCT
fcis-26722	265	9	the	the	DET
fcis-26722	265	10	maximum	maximum	ADJ
fcis-26722	265	11	dependency	dependency	NOUN
fcis-26722	265	12	value	value	NOUN
fcis-26722	265	13	is	be	AUX
fcis-26722	265	14	used	use	VERB
fcis-26722	265	15	as	as	ADP
fcis-26722	265	16	the	the	DET
fcis-26722	265	17	standard	standard	NOUN
fcis-26722	265	18	to	to	PART
fcis-26722	265	19	select	select	VERB
fcis-26722	265	20	the	the	DET
fcis-26722	265	21	optimal	optimal	ADJ
fcis-26722	265	22	segmentation	segmentation	NOUN
fcis-26722	265	23	threshold	threshold	NOUN
fcis-26722	265	24	t	t	PROPN
fcis-26722	265	25	.	.	PUNCT
fcis-26722	266	1	it	it	PRON
fcis-26722	266	2	can	can	AUX
fcis-26722	266	3	be	be	AUX
fcis-26722	266	4	seen	see	VERB
fcis-26722	266	5	from	from	ADP
fcis-26722	266	6	table	table	NOUN
fcis-26722	266	7	2	2	NUM
fcis-26722	266	8	that	that	SCONJ
fcis-26722	266	9	the	the	DET
fcis-26722	266	10	metric	metric	ADJ
fcis-26722	266	11	value	value	NOUN
fcis-26722	266	12	is	be	AUX
fcis-26722	266	13	reasonable	reasonable	ADJ
fcis-26722	266	14	.	.	PUNCT
fcis-26722	267	1	the	the	DET
fcis-26722	267	2	experimental	experimental	ADJ
fcis-26722	267	3	results	result	NOUN
fcis-26722	267	4	of	of	ADP
fcis-26722	267	5	image	image	NOUN
fcis-26722	267	6	segmentation	segmentation	NOUN
fcis-26722	267	7	using	use	VERB
fcis-26722	267	8	the	the	DET
fcis-26722	267	9	proposed	propose	VERB
fcis-26722	267	10	algorithm	algorithm	NOUN
fcis-26722	267	11	are	be	AUX
fcis-26722	267	12	shown	show	VERB
fcis-26722	267	13	in	in	ADP
fcis-26722	267	14	figure	figure	NOUN
fcis-26722	267	15	5	5	NUM
fcis-26722	267	16	.	.	PUNCT
fcis-26722	268	1	the	the	DET
fcis-26722	268	2	experiment	experiment	NOUN
fcis-26722	268	3	also	also	ADV
fcis-26722	268	4	used	use	VERB
fcis-26722	268	5	the	the	DET
fcis-26722	268	6	maximum	maximum	ADJ
fcis-26722	268	7	average	average	ADJ
fcis-26722	268	8	information	information	NOUN
fcis-26722	268	9	entropy	entropy	NOUN
fcis-26722	268	10	to	to	PART
fcis-26722	268	11	segment	segment	VERB
fcis-26722	268	12	the	the	DET
fcis-26722	268	13	image	image	NOUN
fcis-26722	268	14	for	for	ADP
fcis-26722	268	15	comparison	comparison	NOUN
fcis-26722	268	16	.	.	PUNCT
fcis-26722	269	1	the	the	DET
fcis-26722	269	2	experimental	experimental	ADJ
fcis-26722	269	3	results	result	NOUN
fcis-26722	269	4	are	be	AUX
fcis-26722	269	5	shown	show	VERB
fcis-26722	269	6	in	in	ADP
fcis-26722	269	7	figure	figure	NOUN
fcis-26722	269	8	3	3	NUM
fcis-26722	269	9	.	.	PUNCT
fcis-26722	269	10	fig	fig	PROPN
fcis-26722	269	11	1	1	NUM
fcis-26722	269	12	.	.	PUNCT
fcis-26722	269	13	original	original	ADJ
fcis-26722	269	14	image	image	NOUN
fcis-26722	269	15	fig	fig	NOUN
fcis-26722	269	16	2	2	NUM
fcis-26722	269	17	.	.	PUNCT
fcis-26722	269	18	histogram	histogram	PROPN
fcis-26722	269	19	fig	fig	NOUN
fcis-26722	269	20	3	3	X
fcis-26722	269	21	.	.	PUNCT
fcis-26722	269	22	threshold	threshold	NOUN
fcis-26722	269	23	segmentation	segmentation	NOUN
fcis-26722	269	24	using	use	VERB
fcis-26722	269	25	maximum	maximum	ADJ
fcis-26722	269	26	average	average	ADJ
fcis-26722	269	27	information	information	NOUN
fcis-26722	269	28	entropy	entropy	NOUN
fcis-26722	269	29	fig	fig	PROPN
fcis-26722	269	30	4	4	NUM
fcis-26722	269	31	.	.	PUNCT
fcis-26722	270	1	correspondence	correspondence	NOUN
fcis-26722	270	2	between	between	ADP
fcis-26722	270	3	segmentation	segmentation	NOUN
fcis-26722	270	4	threshold	threshold	NOUN
fcis-26722	270	5	and	and	CCONJ
fcis-26722	270	6	average	average	ADJ
fcis-26722	270	7	information	information	NOUN
fcis-26722	270	8	entropy	entropy	NOUN
fcis-26722	270	9	fig	fig	NOUN
fcis-26722	270	10	5	5	NUM
fcis-26722	270	11	.	.	PUNCT
fcis-26722	271	1	threshold	threshold	NOUN
fcis-26722	271	2	segmentation	segmentation	NOUN
fcis-26722	271	3	using	use	VERB
fcis-26722	271	4	vprs	vprs	NOUN
fcis-26722	271	5	maximum	maximum	ADJ
fcis-26722	271	6	dependency	dependency	NOUN
fcis-26722	271	7	.	.	PUNCT
fcis-26722	272	1	102	102	NUM
fcis-26722	272	2	fig	fig	NOUN
fcis-26722	272	3	6	6	NUM
fcis-26722	272	4	.	.	PUNCT
fcis-26722	272	5	correspondence	correspondence	NOUN
fcis-26722	272	6	between	between	ADP
fcis-26722	272	7	segmentation	segmentation	NOUN
fcis-26722	272	8	threshold	threshold	NOUN
fcis-26722	272	9	and	and	CCONJ
fcis-26722	272	10	dependency	dependency	NOUN
fcis-26722	272	11	fig	fig	NOUN
fcis-26722	272	12	6	6	NUM
fcis-26722	272	13	is	be	AUX
fcis-26722	272	14	a	a	DET
fcis-26722	272	15	correspondence	correspondence	NOUN
fcis-26722	272	16	diagram	diagram	NOUN
fcis-26722	272	17	between	between	ADP
fcis-26722	272	18	the	the	DET
fcis-26722	272	19	dependency	dependency	NOUN
fcis-26722	272	20	and	and	CCONJ
fcis-26722	272	21	the	the	DET
fcis-26722	272	22	segmentation	segmentation	NOUN
fcis-26722	272	23	threshold	threshold	NOUN
fcis-26722	272	24	.	.	PUNCT
fcis-26722	273	1	when	when	SCONJ
fcis-26722	273	2	the	the	DET
fcis-26722	273	3	dependency	dependency	NOUN
fcis-26722	273	4	reaches	reach	VERB
fcis-26722	273	5	the	the	DET
fcis-26722	273	6	maximum	maximum	ADJ
fcis-26722	273	7	value	value	NOUN
fcis-26722	273	8	,	,	PUNCT
fcis-26722	273	9	its	its	PRON
fcis-26722	273	10	corresponding	correspond	VERB
fcis-26722	273	11	segmentation	segmentation	NOUN
fcis-26722	273	12	threshold	threshold	NOUN
fcis-26722	273	13	t	t	PROPN
fcis-26722	273	14	=	=	SYM
fcis-26722	273	15	1	1	X
fcis-26722	273	16	.	.	PUNCT
fcis-26722	274	1	the	the	DET
fcis-26722	274	2	original	original	ADJ
fcis-26722	274	3	image	image	NOUN
fcis-26722	274	4	is	be	AUX
fcis-26722	274	5	segmented	segment	VERB
fcis-26722	274	6	by	by	ADP
fcis-26722	274	7	using	use	VERB
fcis-26722	274	8	this	this	DET
fcis-26722	274	9	segmentation	segmentation	NOUN
fcis-26722	274	10	threshold	threshold	NOUN
fcis-26722	274	11	to	to	PART
fcis-26722	274	12	obtain	obtain	VERB
fcis-26722	274	13	a	a	DET
fcis-26722	274	14	segmentation	segmentation	NOUN
fcis-26722	274	15	effect	effect	NOUN
fcis-26722	274	16	image	image	NOUN
fcis-26722	274	17	.	.	PUNCT
fcis-26722	275	1	by	by	ADP
fcis-26722	275	2	comparing	compare	VERB
fcis-26722	275	3	the	the	DET
fcis-26722	275	4	segmentation	segmentation	NOUN
fcis-26722	275	5	effect	effect	NOUN
fcis-26722	275	6	diagrams	diagram	NOUN
fcis-26722	275	7	of	of	ADP
fcis-26722	275	8	fig	fig	NOUN
fcis-26722	275	9	.	.	PUNCT
fcis-26722	275	10	3	3	NUM
fcis-26722	275	11	and	and	CCONJ
fcis-26722	275	12	fig	fig	NOUN
fcis-26722	275	13	.	.	PUNCT
fcis-26722	276	1	5	5	NUM
fcis-26722	276	2	,	,	PUNCT
fcis-26722	276	3	it	it	PRON
fcis-26722	276	4	can	can	AUX
fcis-26722	276	5	be	be	AUX
fcis-26722	276	6	seen	see	VERB
fcis-26722	276	7	that	that	SCONJ
fcis-26722	276	8	the	the	DET
fcis-26722	276	9	segmentation	segmentation	NOUN
fcis-26722	276	10	effect	effect	NOUN
fcis-26722	276	11	using	use	VERB
fcis-26722	276	12	the	the	DET
fcis-26722	276	13	maximum	maximum	ADJ
fcis-26722	276	14	dependency	dependency	NOUN
fcis-26722	276	15	is	be	AUX
fcis-26722	276	16	better	well	ADJ
fcis-26722	276	17	than	than	ADP
fcis-26722	276	18	the	the	DET
fcis-26722	276	19	maximum	maximum	ADJ
fcis-26722	276	20	average	average	ADJ
fcis-26722	276	21	information	information	NOUN
fcis-26722	276	22	entropy	entropy	VERB
fcis-26722	276	23	.	.	PUNCT
fcis-26722	277	1	in	in	ADP
fcis-26722	277	2	order	order	NOUN
fcis-26722	277	3	to	to	PART
fcis-26722	277	4	improve	improve	VERB
fcis-26722	277	5	the	the	DET
fcis-26722	277	6	efficiency	efficiency	NOUN
fcis-26722	277	7	of	of	ADP
fcis-26722	277	8	solving	solve	VERB
fcis-26722	277	9	the	the	DET
fcis-26722	277	10	optimal	optimal	ADJ
fcis-26722	277	11	segmentation	segmentation	NOUN
fcis-26722	277	12	threshold	threshold	NOUN
fcis-26722	277	13	,	,	PUNCT
fcis-26722	277	14	pso	pso	NOUN
fcis-26722	277	15	is	be	AUX
fcis-26722	277	16	used	use	VERB
fcis-26722	277	17	to	to	PART
fcis-26722	277	18	optimize	optimize	VERB
fcis-26722	277	19	the	the	DET
fcis-26722	277	20	execution	execution	NOUN
fcis-26722	277	21	process	process	NOUN
fcis-26722	277	22	of	of	ADP
fcis-26722	277	23	the	the	DET
fcis-26722	277	24	proposed	propose	VERB
fcis-26722	277	25	algorithm	algorithm	NOUN
fcis-26722	277	26	.	.	PUNCT
fcis-26722	278	1	here	here	ADV
fcis-26722	278	2	,	,	PUNCT
fcis-26722	278	3	in	in	ADP
fcis-26722	278	4	order	order	NOUN
fcis-26722	278	5	to	to	PART
fcis-26722	278	6	better	well	ADV
fcis-26722	278	7	reflect	reflect	VERB
fcis-26722	278	8	the	the	DET
fcis-26722	278	9	optimization	optimization	NOUN
fcis-26722	278	10	effect	effect	NOUN
fcis-26722	278	11	of	of	ADP
fcis-26722	278	12	pso	pso	NOUN
fcis-26722	278	13	,	,	PUNCT
fcis-26722	278	14	the	the	DET
fcis-26722	278	15	pso	pso	NOUN
fcis-26722	278	16	is	be	AUX
fcis-26722	278	17	compared	compare	VERB
fcis-26722	278	18	with	with	ADP
fcis-26722	278	19	the	the	DET
fcis-26722	278	20	ordinary	ordinary	ADJ
fcis-26722	278	21	iterative	iterative	NOUN
fcis-26722	278	22	method	method	NOUN
fcis-26722	278	23	.	.	PUNCT
fcis-26722	279	1	the	the	DET
fcis-26722	279	2	comparison	comparison	NOUN
fcis-26722	279	3	result	result	NOUN
fcis-26722	279	4	is	be	AUX
fcis-26722	279	5	shown	show	VERB
fcis-26722	279	6	in	in	ADP
fcis-26722	279	7	table	table	NOUN
fcis-26722	279	8	3	3	NUM
fcis-26722	279	9	.	.	PUNCT
fcis-26722	279	10	table	table	NOUN
fcis-26722	279	11	3	3	NUM
fcis-26722	279	12	.	.	X
fcis-26722	279	13	comparison	comparison	NOUN
fcis-26722	279	14	results	result	NOUN
fcis-26722	279	15	between	between	ADP
fcis-26722	279	16	pso	pso	NOUN
fcis-26722	279	17	and	and	CCONJ
fcis-26722	279	18	ordinary	ordinary	ADJ
fcis-26722	279	19	iterative	iterative	NOUN
fcis-26722	279	20	method	method	NOUN
fcis-26722	279	21	algorithm	algorithm	NOUN
fcis-26722	279	22	subblock	subblock	NOUN
fcis-26722	279	23	size	size	NOUN
fcis-26722	279	24	(	(	PUNCT
fcis-26722	279	25	n	n	CCONJ
fcis-26722	279	26	m	m	NOUN
fcis-26722	279	27	)	)	PUNCT
fcis-26722	279	28	is	be	AUX
fcis-26722	279	29	it	it	PRON
fcis-26722	279	30	combined	combine	VERB
fcis-26722	279	31	with	with	ADP
fcis-26722	279	32	pso	pso	NOUN
fcis-26722	279	33	?	?	PUNCT
fcis-26722	280	1	optimal	optimal	ADJ
fcis-26722	280	2	segmentation	segmentation	NOUN
fcis-26722	280	3	threshold	threshold	NOUN
fcis-26722	280	4	(	(	PUNCT
fcis-26722	280	5	t	t	NOUN
fcis-26722	280	6	)	)	PUNCT
fcis-26722	280	7	number	number	NOUN
fcis-26722	280	8	of	of	ADP
fcis-26722	280	9	iterations	iteration	NOUN
fcis-26722	280	10	(	(	PUNCT
fcis-26722	280	11	n	n	NOUN
fcis-26722	280	12	)	)	PUNCT
fcis-26722	280	13	algorithm	algorithm	NOUN
fcis-26722	280	14	running	running	NOUN
fcis-26722	280	15	time	time	NOUN
fcis-26722	280	16	(	(	PUNCT
fcis-26722	280	17	s	s	NOUN
fcis-26722	280	18	)	)	PUNCT
fcis-26722	280	19	maximum	maximum	ADJ
fcis-26722	280	20	average	average	ADJ
fcis-26722	280	21	information	information	NOUN
fcis-26722	280	22	entropy	entropy	NOUN
fcis-26722	280	23	—	—	PUNCT
fcis-26722	280	24	—	—	PUNCT
fcis-26722	280	25	no	no	PRON
fcis-26722	280	26	38	38	NUM
fcis-26722	280	27	56	56	NUM
fcis-26722	280	28	3.378123	3.378123	NUM
fcis-26722	280	29	maximum	maximum	ADJ
fcis-26722	280	30	dependency	dependency	NOUN
fcis-26722	280	31	8	8	NUM
fcis-26722	280	32	8	8	NUM
fcis-26722	280	33	yes	yes	NOUN
fcis-26722	280	34	50	50	NUM
fcis-26722	280	35	20	20	NUM
fcis-26722	280	36	0.566854	0.566854	NUM
fcis-26722	280	37	5	5	NUM
fcis-26722	280	38	.	.	PUNCT
fcis-26722	280	39	conclusion	conclusion	NOUN
fcis-26722	280	40	in	in	ADP
fcis-26722	280	41	this	this	DET
fcis-26722	280	42	paper	paper	NOUN
fcis-26722	280	43	,	,	PUNCT
fcis-26722	280	44	we	we	PRON
fcis-26722	280	45	propose	propose	VERB
fcis-26722	280	46	an	an	DET
fcis-26722	280	47	effective	effective	ADJ
fcis-26722	280	48	image	image	NOUN
fcis-26722	280	49	segmentation	segmentation	NOUN
fcis-26722	280	50	algorithm	algorithm	NOUN
fcis-26722	280	51	.	.	PUNCT
fcis-26722	281	1	the	the	DET
fcis-26722	281	2	proposed	propose	VERB
fcis-26722	281	3	algorithm	algorithm	NOUN
fcis-26722	281	4	mainly	mainly	ADV
fcis-26722	281	5	uses	use	VERB
fcis-26722	281	6	vprs	vprs	NOUN
fcis-26722	281	7	maximum	maximum	ADJ
fcis-26722	281	8	dependency	dependency	NOUN
fcis-26722	281	9	to	to	PART
fcis-26722	281	10	solve	solve	VERB
fcis-26722	281	11	the	the	DET
fcis-26722	281	12	optimal	optimal	ADJ
fcis-26722	281	13	segmentation	segmentation	NOUN
fcis-26722	281	14	threshold	threshold	NOUN
fcis-26722	281	15	,	,	PUNCT
fcis-26722	281	16	and	and	CCONJ
fcis-26722	281	17	uses	use	VERB
fcis-26722	281	18	pso	pso	NOUN
fcis-26722	281	19	to	to	PART
fcis-26722	281	20	improve	improve	VERB
fcis-26722	281	21	the	the	DET
fcis-26722	281	22	algorithm	algorithm	NOUN
fcis-26722	281	23	execution	execution	NOUN
fcis-26722	281	24	efficiency	efficiency	NOUN
fcis-26722	281	25	.	.	PUNCT
fcis-26722	282	1	the	the	DET
fcis-26722	282	2	analysis	analysis	NOUN
fcis-26722	282	3	of	of	ADP
fcis-26722	282	4	the	the	DET
fcis-26722	282	5	experimental	experimental	ADJ
fcis-26722	282	6	process	process	NOUN
fcis-26722	282	7	and	and	CCONJ
fcis-26722	282	8	the	the	DET
fcis-26722	282	9	comparison	comparison	NOUN
fcis-26722	282	10	of	of	ADP
fcis-26722	282	11	the	the	DET
fcis-26722	282	12	experimental	experimental	ADJ
fcis-26722	282	13	results	result	NOUN
fcis-26722	282	14	show	show	VERB
fcis-26722	282	15	that	that	SCONJ
fcis-26722	282	16	the	the	DET
fcis-26722	282	17	proposed	propose	VERB
fcis-26722	282	18	algorithm	algorithm	NOUN
fcis-26722	282	19	has	have	VERB
fcis-26722	282	20	good	good	ADJ
fcis-26722	282	21	segmentation	segmentation	NOUN
fcis-26722	282	22	effect	effect	NOUN
fcis-26722	282	23	and	and	CCONJ
fcis-26722	282	24	computational	computational	ADJ
fcis-26722	282	25	efficiency	efficiency	NOUN
fcis-26722	282	26	.	.	PUNCT
fcis-26722	283	1	at	at	ADP
fcis-26722	283	2	the	the	DET
fcis-26722	283	3	same	same	ADJ
fcis-26722	283	4	time	time	NOUN
fcis-26722	283	5	,	,	PUNCT
fcis-26722	283	6	it	it	PRON
fcis-26722	283	7	is	be	AUX
fcis-26722	283	8	verified	verify	VERB
fcis-26722	283	9	that	that	SCONJ
fcis-26722	283	10	vprs	vprs	NOUN
fcis-26722	283	11	can	can	AUX
fcis-26722	283	12	effectively	effectively	ADV
fcis-26722	283	13	deal	deal	VERB
fcis-26722	283	14	with	with	ADP
fcis-26722	283	15	the	the	DET
fcis-26722	283	16	uncertainty	uncertainty	NOUN
fcis-26722	283	17	and	and	CCONJ
fcis-26722	283	18	ambiguity	ambiguity	NOUN
fcis-26722	283	19	in	in	ADP
fcis-26722	283	20	image	image	NOUN
fcis-26722	283	21	segmentation	segmentation	NOUN
fcis-26722	283	22	.	.	PUNCT
fcis-26722	284	1	whether	whether	SCONJ
fcis-26722	284	2	the	the	DET
fcis-26722	284	3	proposed	propose	VERB
fcis-26722	284	4	algorithm	algorithm	NOUN
fcis-26722	284	5	can	can	AUX
fcis-26722	284	6	perform	perform	VERB
fcis-26722	284	7	multi	multi	ADJ
fcis-26722	284	8	-	-	ADJ
fcis-26722	284	9	threshold	threshold	ADJ
fcis-26722	284	10	segmentation	segmentation	NOUN
fcis-26722	284	11	and	and	CCONJ
fcis-26722	284	12	color	color	NOUN
fcis-26722	284	13	image	image	NOUN
fcis-26722	284	14	segmentation	segmentation	NOUN
fcis-26722	284	15	needs	need	VERB
fcis-26722	284	16	further	further	ADJ
fcis-26722	284	17	research	research	NOUN
fcis-26722	284	18	and	and	CCONJ
fcis-26722	284	19	confirmation	confirmation	NOUN
fcis-26722	284	20	.	.	PUNCT
fcis-26722	285	1	acknowledgments	acknowledgment	NOUN
fcis-26722	285	2	1.research	1.research	NUM
fcis-26722	285	3	on	on	ADP
fcis-26722	285	4	the	the	DET
fcis-26722	285	5	application	application	NOUN
fcis-26722	285	6	of	of	ADP
fcis-26722	285	7	virtual	virtual	ADJ
fcis-26722	285	8	reality	reality	NOUN
fcis-26722	285	9	in	in	ADP
fcis-26722	285	10	the	the	DET
fcis-26722	285	11	roaming	roaming	NOUN
fcis-26722	285	12	system	system	NOUN
fcis-26722	285	13	of	of	ADP
fcis-26722	285	14	the	the	DET
fcis-26722	285	15	school	school	NOUN
fcis-26722	285	16	and	and	CCONJ
fcis-26722	285	17	campus	campus	PROPN
fcis-26722	285	18	:	:	PUNCT
fcis-26722	285	19	a	a	DET
fcis-26722	285	20	case	case	NOUN
fcis-26722	285	21	study	study	NOUN
fcis-26722	285	22	of	of	ADP
fcis-26722	285	23	xinjiang	xinjiang	PROPN
fcis-26722	285	24	university	university	PROPN
fcis-26722	285	25	of	of	ADP
fcis-26722	285	26	political	political	ADJ
fcis-26722	285	27	science	science	NOUN
fcis-26722	285	28	and	and	CCONJ
fcis-26722	285	29	law	law	NOUN
fcis-26722	285	30	.	.	PUNCT
fcis-26722	286	1	(	(	PUNCT
fcis-26722	286	2	xinjiang	xinjiang	PROPN
fcis-26722	286	3	university	university	PROPN
fcis-26722	286	4	of	of	ADP
fcis-26722	286	5	political	political	ADJ
fcis-26722	286	6	science	science	NOUN
fcis-26722	286	7	and	and	CCONJ
fcis-26722	286	8	law	law	NOUN
fcis-26722	286	9	president	president	NOUN
fcis-26722	286	10	's	's	PART
fcis-26722	286	11	fund	fund	NOUN
fcis-26722	286	12	:	:	PUNCT
fcis-26722	286	13	xzzk2022008	xzzk2022008	PROPN
fcis-26722	286	14	;	;	PUNCT
fcis-26722	286	15	xinjiang	xinjiang	PROPN
fcis-26722	286	16	university	university	PROPN
fcis-26722	286	17	of	of	ADP
fcis-26722	286	18	political	political	ADJ
fcis-26722	286	19	science	science	NOUN
fcis-26722	286	20	and	and	CCONJ
fcis-26722	286	21	law	law	NOUN
fcis-26722	286	22	president	president	NOUN
fcis-26722	286	23	's	's	PART
fcis-26722	286	24	fund	fund	NOUN
fcis-26722	286	25	:	:	PUNCT
fcis-26722	286	26	xzzk2022005	xzzk2022005	PROPN
fcis-26722	286	27	.	.	PUNCT
fcis-26722	286	28	)	)	PUNCT
fcis-26722	287	1	references	reference	NOUN
fcis-26722	287	2	[	[	X
fcis-26722	287	3	1	1	NUM
fcis-26722	287	4	]	]	PUNCT
fcis-26722	287	5	zhu	zhu	PROPN
fcis-26722	287	6	liangkuan	liangkuan	PROPN
fcis-26722	287	7	,	,	PUNCT
fcis-26722	287	8	liu	liu	PROPN
fcis-26722	287	9	liang	liang	PROPN
fcis-26722	287	10	,	,	PUNCT
fcis-26722	287	11	dong	dong	PROPN
fcis-26722	287	12	xu	xu	PROPN
fcis-26722	287	13	,	,	PUNCT
fcis-26722	287	14	et	et	PROPN
fcis-26722	287	15	al	al	PROPN
fcis-26722	287	16	.	.	PROPN
fcis-26722	287	17	forest	forest	PROPN
fcis-26722	287	18	canopy	canopy	PROPN
fcis-26722	287	19	image	image	NOUN
fcis-26722	287	20	segmentation	segmentation	NOUN
fcis-26722	287	21	based	base	VERB
fcis-26722	287	22	on	on	ADP
fcis-26722	287	23	improved	improved	ADJ
fcis-26722	287	24	3d	3d	NUM
fcis-26722	287	25	otsu	otsu	NOUN
fcis-26722	287	26	method[j	method[j	PROPN
fcis-26722	287	27	]	]	PUNCT
fcis-26722	287	28	.	.	PUNCT
fcis-26722	288	1	computer	computer	NOUN
fcis-26722	288	2	engineering	engineering	NOUN
fcis-26722	288	3	.	.	PUNCT
fcis-26722	289	1	2019	2019	NUM
fcis-26722	289	2	,	,	PUNCT
fcis-26722	289	3	vol	vol	NOUN
fcis-26722	289	4	.	.	PUNCT
fcis-26722	290	1	45(no	45(no	NUM
fcis-26722	290	2	.	.	NOUN
fcis-26722	291	1	01	01	NUM
fcis-26722	291	2	)	)	PUNCT
fcis-26722	291	3	,	,	PUNCT
fcis-26722	292	1	p.	p.	NOUN
fcis-26722	292	2	253	253	NUM
fcis-26722	292	3	-	-	SYM
fcis-26722	292	4	258	258	NUM
fcis-26722	292	5	+	+	NUM
fcis-26722	292	6	263	263	NUM
fcis-26722	292	7	.	.	PUNCT
fcis-26722	293	1	[	[	X
fcis-26722	293	2	2	2	X
fcis-26722	293	3	]	]	X
fcis-26722	293	4	lei	lei	PROPN
fcis-26722	293	5	xiangxiao	xiangxiao	PROPN
fcis-26722	293	6	,	,	PUNCT
fcis-26722	293	7	ouyang	ouyang	PROPN
fcis-26722	293	8	honglin	honglin	PROPN
fcis-26722	293	9	,	,	PUNCT
fcis-26722	293	10	xiao	xiao	PROPN
fcis-26722	293	11	leyi	leyi	PROPN
fcis-26722	293	12	,	,	PUNCT
fcis-26722	293	13	et	et	PROPN
fcis-26722	293	14	al	al	PROPN
fcis-26722	293	15	.	.	PROPN
fcis-26722	293	16	research	research	NOUN
fcis-26722	293	17	on	on	ADP
fcis-26722	293	18	image	image	NOUN
fcis-26722	293	19	segmentation	segmentation	NOUN
fcis-26722	293	20	based	base	VERB
fcis-26722	293	21	on	on	ADP
fcis-26722	293	22	equivalent	equivalent	ADJ
fcis-26722	293	23	3	3	NUM
fcis-26722	293	24	-	-	PUNCT
fcis-26722	293	25	d	d	NOUN
fcis-26722	293	26	entropy	entropy	NOUN
fcis-26722	293	27	and	and	CCONJ
fcis-26722	293	28	whale	whale	NOUN
fcis-26722	293	29	optimization	optimization	NOUN
fcis-26722	293	30	algorithm[j	algorithm[j	PROPN
fcis-26722	293	31	]	]	PUNCT
fcis-26722	293	32	.	.	PUNCT
fcis-26722	294	1	computer	computer	NOUN
fcis-26722	294	2	engineering	engineering	NOUN
fcis-26722	294	3	.	.	PUNCT
fcis-26722	295	1	2019	2019	NUM
fcis-26722	295	2	,	,	PUNCT
fcis-26722	295	3	vol	vol	NOUN
fcis-26722	295	4	.	.	PUNCT
fcis-26722	296	1	45(no	45(no	NUM
fcis-26722	296	2	.	.	NOUN
fcis-26722	296	3	04	04	NUM
fcis-26722	296	4	)	)	PUNCT
fcis-26722	296	5	,	,	PUNCT
fcis-26722	297	1	p.	p.	NOUN
fcis-26722	297	2	217	217	NUM
fcis-26722	297	3	-	-	SYM
fcis-26722	297	4	222	222	NUM
fcis-26722	297	5	.	.	PUNCT
fcis-26722	298	1	[	[	X
fcis-26722	298	2	3	3	NUM
fcis-26722	298	3	]	]	X
fcis-26722	298	4	nabanita	nabanita	NOUN
fcis-26722	298	5	mahata	mahata	PROPN
fcis-26722	298	6	,	,	PUNCT
fcis-26722	298	7	jamuna	jamuna	PROPN
fcis-26722	298	8	kanta	kanta	PROPN
fcis-26722	298	9	sing	sing	VERB
fcis-26722	298	10	.	.	PUNCT
fcis-26722	299	1	a	a	DET
fcis-26722	299	2	novel	novel	ADJ
fcis-26722	299	3	fuzzy	fuzzy	ADJ
fcis-26722	299	4	clustering	clustering	ADJ
fcis-26722	299	5	algorithm	algorithm	NOUN
fcis-26722	299	6	by	by	ADP
fcis-26722	299	7	minimizing	minimize	VERB
fcis-26722	299	8	global	global	ADJ
fcis-26722	299	9	and	and	CCONJ
fcis-26722	299	10	spatially	spatially	ADV
fcis-26722	299	11	constrained	constrain	VERB
fcis-26722	299	12	likelihood	likelihood	NOUN
fcis-26722	299	13	-	-	PUNCT
fcis-26722	299	14	based	base	VERB
fcis-26722	299	15	local	local	ADJ
fcis-26722	299	16	entropies	entropy	NOUN
fcis-26722	299	17	for	for	ADP
fcis-26722	299	18	noisy	noisy	ADJ
fcis-26722	299	19	3d	3d	NUM
fcis-26722	299	20	brain	brain	NOUN
fcis-26722	299	21	mr	mr	PROPN
fcis-26722	299	22	image	image	NOUN
fcis-26722	299	23	segmentation[j	segmentation[j	PROPN
fcis-26722	299	24	]	]	PUNCT
fcis-26722	299	25	.	.	PUNCT
fcis-26722	300	1	applied	apply	VERB
fcis-26722	300	2	soft	soft	ADJ
fcis-26722	300	3	computing	computing	NOUN
fcis-26722	300	4	journal	journal	NOUN
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fcis-26722	301	4	.	.	PROPN
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fcis-26722	302	2	.	.	PUNCT
fcis-26722	303	1	[	[	X
fcis-26722	303	2	4	4	X
fcis-26722	303	3	]	]	PUNCT
fcis-26722	303	4	xiaofeng	xiaofeng	PROPN
fcis-26722	303	5	yue	yue	PROPN
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fcis-26722	303	7	hongbo	hongbo	PROPN
fcis-26722	303	8	zhang	zhang	PROPN
fcis-26722	303	9	.	.	PROPN
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fcis-26722	303	11	hybrid	hybrid	ADJ
fcis-26722	303	12	bat	bat	NOUN
fcis-26722	303	13	algorithm	algorithm	NOUN
fcis-26722	303	14	with	with	ADP
fcis-26722	303	15	genetic	genetic	ADJ
fcis-26722	303	16	crossover	crossover	NOUN
fcis-26722	303	17	operation	operation	NOUN
fcis-26722	303	18	and	and	CCONJ
fcis-26722	303	19	smart	smart	ADJ
fcis-26722	303	20	inertia	inertia	NOUN
fcis-26722	303	21	weight	weight	NOUN
fcis-26722	303	22	for	for	ADP
fcis-26722	303	23	multilevel	multilevel	ADJ
fcis-26722	303	24	image	image	NOUN
fcis-26722	303	25	segmentation[j	segmentation[j	PROPN
fcis-26722	303	26	]	]	PUNCT
fcis-26722	303	27	.	.	PUNCT
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fcis-26722	304	2	soft	soft	ADJ
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fcis-26722	304	4	journal	journal	NOUN
fcis-26722	304	5	.	.	PUNCT
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fcis-26722	305	2	,	,	PUNCT
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fcis-26722	305	4	.	.	PROPN
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fcis-26722	306	2	.	.	PUNCT
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fcis-26722	307	3	]	]	PUNCT
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fcis-26722	308	6	[	[	X
fcis-26722	308	7	m	m	X
fcis-26722	308	8	]	]	X
fcis-26722	308	9	.	.	PUNCT
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fcis-26722	309	3	,	,	PUNCT
fcis-26722	309	4	2001	2001	NUM
fcis-26722	309	5	.	.	PUNCT
fcis-26722	310	1	[	[	X
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fcis-26722	310	3	]	]	X
fcis-26722	310	4	sun	sun	PROPN
fcis-26722	310	5	quansen	quansen	PROPN
fcis-26722	310	6	,	,	PUNCT
fcis-26722	310	7	ji	ji	PROPN
fcis-26722	310	8	zexuan	zexuan	PROPN
fcis-26722	310	9	.	.	PUNCT
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fcis-26722	311	2	clustering	clustering	NOUN
fcis-26722	311	3	for	for	ADP
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fcis-26722	311	5	mr	mr	PROPN
fcis-26722	311	6	image	image	NOUN
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fcis-26722	312	1	[	[	X
fcis-26722	312	2	j	j	X
fcis-26722	312	3	]	]	X
fcis-26722	312	4	.	.	PUNCT
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fcis-26722	313	3	data	datum	NOUN
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fcis-26722	313	7	.	.	PUNCT
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fcis-26722	314	2	,	,	PUNCT
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fcis-26722	314	4	.	.	PUNCT
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fcis-26722	315	2	.	.	NOUN
fcis-26722	315	3	1	1	NUM
fcis-26722	315	4	)	)	PUNCT
fcis-26722	315	5	,	,	PUNCT
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fcis-26722	315	7	28	28	NUM
fcis-26722	315	8	-	-	SYM
fcis-26722	315	9	42	42	NUM
fcis-26722	315	10	.	.	PUNCT
fcis-26722	316	1	[	[	X
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fcis-26722	316	3	]	]	X
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fcis-26722	316	6	,	,	PUNCT
fcis-26722	316	7	jiang	jiang	PROPN
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fcis-26722	316	9	,	,	PUNCT
fcis-26722	316	10	rao	rao	PROPN
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fcis-26722	316	13	et	et	PROPN
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fcis-26722	316	15	.	.	PUNCT
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fcis-26722	316	17	segmentation	segmentation	NOUN
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fcis-26722	316	20	gene	gene	NOUN
fcis-26722	316	21	expression	expression	NOUN
fcis-26722	316	22	programming	programming	NOUN
fcis-26722	316	23	and	and	CCONJ
fcis-26722	316	24	spatial	spatial	ADJ
fcis-26722	316	25	fuzzy	fuzzy	ADJ
fcis-26722	316	26	clustering	clustering	NOUN
fcis-26722	316	27	[	[	X
fcis-26722	316	28	j	j	X
fcis-26722	316	29	]	]	X
fcis-26722	316	30	.	.	PUNCT
fcis-26722	317	1	journal	journal	PROPN
fcis-26722	317	2	of	of	ADP
fcis-26722	317	3	image	image	NOUN
fcis-26722	317	4	and	and	CCONJ
fcis-26722	317	5	graphics	graphic	NOUN
fcis-26722	317	6	.	.	PUNCT
fcis-26722	318	1	2017	2017	NUM
fcis-26722	318	2	,	,	PUNCT
fcis-26722	318	3	vol	vol	NOUN
fcis-26722	318	4	.	.	PUNCT
fcis-26722	319	1	22(no	22(no	NUM
fcis-26722	319	2	.	.	NOUN
fcis-26722	319	3	5	5	NUM
fcis-26722	319	4	)	)	PUNCT
fcis-26722	319	5	,	,	PUNCT
fcis-26722	320	1	p.	p.	NOUN
fcis-26722	320	2	575	575	NUM
fcis-26722	320	3	-	-	SYM
fcis-26722	320	4	583	583	NUM
fcis-26722	320	5	.	.	PUNCT
fcis-26722	321	1	[	[	X
fcis-26722	321	2	8	8	NUM
fcis-26722	321	3	]	]	X
fcis-26722	321	4	zhang	zhang	PROPN
fcis-26722	321	5	c	c	X
fcis-26722	321	6	,	,	PUNCT
fcis-26722	321	7	pan	pan	NOUN
fcis-26722	321	8	x	x	SYM
fcis-26722	321	9	,	,	PUNCT
fcis-26722	321	10	zhang	zhang	PROPN
fcis-26722	321	11	s	s	PROPN
fcis-26722	321	12	,	,	PUNCT
fcis-26722	321	13	et	et	PROPN
fcis-26722	321	14	al	al	PROPN
fcis-26722	321	15	.	.	PUNCT
fcis-26722	322	1	a	a	DET
fcis-26722	322	2	rough	rough	ADJ
fcis-26722	322	3	set	set	NOUN
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fcis-26722	322	5	tree	tree	NOUN
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fcis-26722	322	7	mlp	mlp	PROPN
fcis-26722	322	8	-	-	PUNCT
fcis-26722	322	9	cnn	cnn	PROPN
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fcis-26722	322	12	high	high	ADJ
fcis-26722	322	13	resolution	resolution	NOUN
fcis-26722	322	14	remotely	remotely	ADV
fcis-26722	322	15	sensed	sense	VERB
fcis-26722	322	16	image	image	NOUN
fcis-26722	322	17	classification[j	classification[j	NOUN
fcis-26722	322	18	]	]	X
fcis-26722	322	19	.	.	PUNCT
fcis-26722	323	1	isprs	isprs	PROPN
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fcis-26722	323	3	archives	archive	NOUN
fcis-26722	323	4	of	of	ADP
fcis-26722	323	5	the	the	DET
fcis-26722	323	6	photogrammetry	photogrammetry	NOUN
fcis-26722	323	7	remote	remote	ADJ
fcis-26722	323	8	sensing	sensing	NOUN
fcis-26722	323	9	&	&	CCONJ
fcis-26722	323	10	spatial	spatial	ADJ
fcis-26722	323	11	information	information	NOUN
fcis-26722	323	12	sciences	science	NOUN
fcis-26722	323	13	.	.	PUNCT
fcis-26722	323	14	2017	2017	NUM
fcis-26722	323	15	,	,	PUNCT
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fcis-26722	323	17	1451	1451	NUM
fcis-26722	323	18	-	-	SYM
fcis-26722	323	19	1454	1454	NUM
fcis-26722	323	20	.	.	PUNCT
fcis-26722	324	1	[	[	X
fcis-26722	324	2	9	9	NUM
fcis-26722	324	3	]	]	X
fcis-26722	324	4	zhang	zhang	PROPN
fcis-26722	324	5	changsheng	changsheng	PROPN
fcis-26722	324	6	,	,	PUNCT
fcis-26722	324	7	feng	feng	PROPN
fcis-26722	324	8	guang	guang	PROPN
fcis-26722	324	9	,	,	PUNCT
fcis-26722	324	10	liu	liu	PROPN
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fcis-26722	324	12	,	,	PUNCT
fcis-26722	324	13	et	et	PROPN
fcis-26722	324	14	al	al	PROPN
fcis-26722	324	15	.	.	PROPN
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fcis-26722	324	19	two	two	NUM
fcis-26722	324	20	-	-	PUNCT
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fcis-26722	324	22	otsu	otsu	NOUN
fcis-26722	324	23	algorithm	algorithm	NOUN
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fcis-26722	324	25	sf6	sf6	PROPN
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fcis-26722	324	27	dial	dial	NOUN
fcis-26722	324	28	image	image	NOUN
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fcis-26722	325	1	[	[	X
fcis-26722	325	2	j	j	X
fcis-26722	325	3	]	]	X
fcis-26722	325	4	.	.	PUNCT
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fcis-26722	326	2	and	and	CCONJ
fcis-26722	326	3	microsystem	microsystem	NOUN
fcis-26722	326	4	technologies	technology	NOUN
fcis-26722	326	5	.	.	PUNCT
fcis-26722	327	1	2017	2017	NUM
fcis-26722	327	2	,	,	PUNCT
fcis-26722	327	3	vol	vol	NOUN
fcis-26722	327	4	.	.	PUNCT
fcis-26722	328	1	36(no	36(no	NUM
fcis-26722	328	2	.	.	NOUN
fcis-26722	329	1	7	7	NUM
fcis-26722	329	2	)	)	PUNCT
fcis-26722	329	3	,	,	PUNCT
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fcis-26722	329	5	8	8	NUM
fcis-26722	329	6	-	-	SYM
fcis-26722	329	7	11	11	NUM
fcis-26722	329	8	.	.	PUNCT
fcis-26722	330	1	[	[	X
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fcis-26722	330	3	]	]	X
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fcis-26722	330	6	,	,	PUNCT
fcis-26722	330	7	guo	guo	PROPN
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fcis-26722	330	9	.	.	PUNCT
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fcis-26722	331	3	image	image	NOUN
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fcis-26722	331	8	set	set	NOUN
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fcis-26722	331	10	new	new	ADJ
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fcis-26722	331	12	formula	formula	NOUN
fcis-26722	332	1	[	[	X
fcis-26722	332	2	j	j	X
fcis-26722	332	3	]	]	X
fcis-26722	332	4	.	.	PUNCT
fcis-26722	333	1	acta	acta	PROPN
fcis-26722	333	2	automatica	automatica	PROPN
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fcis-26722	333	4	.	.	PROPN
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fcis-26722	334	2	,	,	PUNCT
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fcis-26722	334	4	.	.	PUNCT
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fcis-26722	335	2	.	.	PUNCT
fcis-26722	336	1	11	11	NUM
fcis-26722	336	2	)	)	PUNCT
fcis-26722	337	1	,	,	PUNCT
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fcis-26722	337	4	-	-	SYM
fcis-26722	337	5	1925	1925	NUM
fcis-26722	337	6	.	.	PUNCT
fcis-26722	338	1	[	[	X
fcis-26722	338	2	11	11	NUM
fcis-26722	338	3	]	]	X
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fcis-26722	338	6	,	,	PUNCT
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fcis-26722	338	9	,	,	PUNCT
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fcis-26722	339	8	image	image	NOUN
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fcis-26722	340	1	[	[	X
fcis-26722	340	2	j	j	X
fcis-26722	340	3	]	]	X
fcis-26722	340	4	.	.	PUNCT
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fcis-26722	341	4	control	control	PROPN
fcis-26722	341	5	.	.	PUNCT
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fcis-26722	342	2	,	,	PUNCT
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fcis-26722	342	4	.	.	PUNCT
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fcis-26722	344	1	4	4	NUM
fcis-26722	344	2	)	)	PUNCT
fcis-26722	345	1	,	,	PUNCT
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fcis-26722	345	3	126	126	NUM
fcis-26722	345	4	-	-	SYM
fcis-26722	345	5	128	128	NUM
fcis-26722	345	6	.	.	PUNCT
fcis-26722	346	1	[	[	X
fcis-26722	346	2	12	12	NUM
fcis-26722	346	3	]	]	PUNCT
fcis-26722	346	4	xu	xu	PROPN
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fcis-26722	347	2	.	.	PUNCT
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fcis-26722	348	2	image	image	NOUN
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fcis-26722	348	4	[	[	X
fcis-26722	348	5	m	m	X
fcis-26722	348	6	]	]	X
fcis-26722	348	7	.	.	PUNCT
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fcis-26722	349	3	,	,	PUNCT
fcis-26722	349	4	2007	2007	NUM
fcis-26722	349	5	.	.	PUNCT
fcis-26722	350	1	[	[	X
fcis-26722	350	2	13	13	NUM
fcis-26722	350	3	]	]	PUNCT
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fcis-26722	350	6	,	,	PUNCT
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fcis-26722	350	8	s	s	PROPN
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fcis-26722	350	10	3d	3d	PROPN
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fcis-26722	351	8	kernel	kernel	PROPN
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fcis-26722	351	10	method[j	method[j	PROPN
fcis-26722	351	11	]	]	PUNCT
fcis-26722	351	12	.	.	PUNCT
fcis-26722	352	1	magnetic	magnetic	ADJ
fcis-26722	352	2	resonance	resonance	NOUN
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fcis-26722	352	4	.	.	PUNCT
fcis-26722	353	1	2017	2017	NUM
fcis-26722	353	2	,	,	PUNCT
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fcis-26722	353	4	.	.	PROPN
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fcis-26722	353	6	,	,	PUNCT
fcis-26722	353	7	p.	p.	NOUN
fcis-26722	353	8	135	135	NUM
fcis-26722	353	9	.	.	PUNCT
fcis-26722	354	1	[	[	X
fcis-26722	354	2	14	14	NUM
fcis-26722	354	3	]	]	X
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fcis-26722	354	6	,	,	PUNCT
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fcis-26722	354	9	,	,	PUNCT
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fcis-26722	354	12	,	,	PUNCT
fcis-26722	354	13	et	et	PROPN
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fcis-26722	354	15	.	.	PUNCT
fcis-26722	355	1	a	a	DET
fcis-26722	355	2	rough	rough	ADJ
fcis-26722	355	3	set	set	NOUN
fcis-26722	355	4	bounded	bound	VERB
fcis-26722	355	5	spatially	spatially	ADV
fcis-26722	355	6	constrained	constrain	VERB
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fcis-26722	355	8	gaussian	gaussian	NOUN
fcis-26722	355	9	mixture	mixture	NOUN
fcis-26722	355	10	model	model	NOUN
fcis-26722	355	11	for	for	ADP
fcis-26722	355	12	image	image	NOUN
fcis-26722	355	13	segmentation[j	segmentation[j	PROPN
fcis-26722	355	14	]	]	PUNCT
fcis-26722	355	15	.	.	PUNCT
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fcis-26722	356	2	one	one	NUM
fcis-26722	356	3	.	.	PROPN
fcis-26722	356	4	2017	2017	NUM
fcis-26722	356	5	,	,	PUNCT
fcis-26722	356	6	vol	vol	NOUN
fcis-26722	356	7	.	.	PUNCT
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fcis-26722	357	2	.	.	NOUN
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fcis-26722	358	2	)	)	PUNCT
fcis-26722	359	1	,	,	PUNCT
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fcis-26722	359	4	-	-	SYM
fcis-26722	359	5	708	708	NUM
fcis-26722	359	6	.	.	PUNCT