id	sid	tid	token	lemma	pos
fbem-2819	1	1	frontiers	frontier	NOUN
fbem-2819	1	2	in	in	ADP
fbem-2819	1	3	business	business	NOUN
fbem-2819	1	4	,	,	PUNCT
fbem-2819	1	5	economics	economic	NOUN
fbem-2819	1	6	and	and	CCONJ
fbem-2819	1	7	management	management	NOUN
fbem-2819	1	8	issn	issn	PROPN
fbem-2819	1	9	:	:	PUNCT
fbem-2819	1	10	2766	2766	NUM
fbem-2819	1	11	-	-	PUNCT
fbem-2819	1	12	824x	824x	NUM
fbem-2819	1	13	|	|	ADJ
fbem-2819	1	14	vol	vol	NOUN
fbem-2819	1	15	.	.	PROPN
fbem-2819	2	1	6	6	NUM
fbem-2819	2	2	,	,	PUNCT
fbem-2819	2	3	no	no	INTJ
fbem-2819	2	4	.	.	NOUN
fbem-2819	2	5	2	2	NUM
fbem-2819	2	6	,	,	PUNCT
fbem-2819	2	7	2022	2022	NUM
fbem-2819	2	8	110	110	NUM
fbem-2819	2	9	research	research	NOUN
fbem-2819	2	10	on	on	ADP
fbem-2819	2	11	image	image	NOUN
fbem-2819	2	12	recognition	recognition	NOUN
fbem-2819	2	13	technology	technology	NOUN
fbem-2819	2	14	based	base	VERB
fbem-2819	2	15	on	on	ADP
fbem-2819	2	16	machine	machine	NOUN
fbem-2819	2	17	learning	learn	VERB
fbem-2819	2	18	xiang	xiang	PROPN
fbem-2819	2	19	ni	ni	PROPN
fbem-2819	2	20	school	school	PROPN
fbem-2819	2	21	of	of	ADP
fbem-2819	2	22	management	management	NOUN
fbem-2819	2	23	science	science	NOUN
fbem-2819	2	24	and	and	CCONJ
fbem-2819	2	25	engineering	engineering	NOUN
fbem-2819	2	26	,	,	PUNCT
fbem-2819	2	27	anhui	anhui	PROPN
fbem-2819	2	28	university	university	PROPN
fbem-2819	2	29	of	of	ADP
fbem-2819	2	30	finance	finance	NOUN
fbem-2819	2	31	and	and	CCONJ
fbem-2819	2	32	economics	economic	NOUN
fbem-2819	2	33	,	,	PUNCT
fbem-2819	2	34	bengbu	bengbu	NOUN
fbem-2819	2	35	233030	233030	NUM
fbem-2819	2	36	,	,	PUNCT
fbem-2819	2	37	china	china	PROPN
fbem-2819	2	38	abstract	abstract	PROPN
fbem-2819	2	39	:	:	PUNCT
fbem-2819	2	40	with	with	ADP
fbem-2819	2	41	the	the	DET
fbem-2819	2	42	rapid	rapid	ADJ
fbem-2819	2	43	development	development	NOUN
fbem-2819	2	44	of	of	ADP
fbem-2819	2	45	artificial	artificial	ADJ
fbem-2819	2	46	intelligence	intelligence	NOUN
fbem-2819	2	47	technology	technology	NOUN
fbem-2819	2	48	,	,	PUNCT
fbem-2819	2	49	the	the	DET
fbem-2819	2	50	network	network	NOUN
fbem-2819	2	51	image	image	NOUN
fbem-2819	2	52	recognition	recognition	NOUN
fbem-2819	2	53	technology	technology	NOUN
fbem-2819	2	54	of	of	ADP
fbem-2819	2	55	machine	machine	NOUN
fbem-2819	2	56	learning	learning	NOUN
fbem-2819	2	57	is	be	AUX
fbem-2819	2	58	intelligent	intelligent	ADJ
fbem-2819	2	59	and	and	CCONJ
fbem-2819	2	60	production	production	NOUN
fbem-2819	2	61	and	and	CCONJ
fbem-2819	2	62	life	life	NOUN
fbem-2819	2	63	in	in	ADP
fbem-2819	2	64	computer	computer	NOUN
fbem-2819	2	65	vision	vision	NOUN
fbem-2819	2	66	system	system	NOUN
fbem-2819	2	67	technology	technology	NOUN
fbem-2819	2	68	in	in	ADP
fbem-2819	2	69	china	china	PROPN
fbem-2819	2	70	have	have	AUX
fbem-2819	2	71	gradually	gradually	ADV
fbem-2819	2	72	achieved	achieve	VERB
fbem-2819	2	73	significant	significant	ADJ
fbem-2819	2	74	success	success	NOUN
fbem-2819	2	75	.	.	PUNCT
fbem-2819	3	1	on	on	ADP
fbem-2819	3	2	this	this	DET
fbem-2819	3	3	basis	basis	NOUN
fbem-2819	3	4	,	,	PUNCT
fbem-2819	3	5	the	the	DET
fbem-2819	3	6	computer	computer	NOUN
fbem-2819	3	7	network	network	NOUN
fbem-2819	3	8	image	image	NOUN
fbem-2819	3	9	recognition	recognition	NOUN
fbem-2819	3	10	system	system	NOUN
fbem-2819	3	11	is	be	AUX
fbem-2819	3	12	constructed	construct	VERB
fbem-2819	3	13	by	by	ADP
fbem-2819	3	14	machine	machine	NOUN
fbem-2819	3	15	learning	learning	NOUN
fbem-2819	3	16	with	with	ADP
fbem-2819	3	17	image	image	NOUN
fbem-2819	3	18	features	feature	NOUN
fbem-2819	3	19	such	such	ADJ
fbem-2819	3	20	as	as	ADP
fbem-2819	3	21	cross	cross	NOUN
fbem-2819	3	22	-	-	NOUN
fbem-2819	3	23	verification	verification	ADJ
fbem-2819	3	24	,	,	PUNCT
fbem-2819	3	25	fitting	fitting	ADJ
fbem-2819	3	26	,	,	PUNCT
fbem-2819	3	27	accuracy	accuracy	NOUN
fbem-2819	3	28	,	,	PUNCT
fbem-2819	3	29	feature	feature	NOUN
fbem-2819	3	30	selection	selection	NOUN
fbem-2819	3	31	,	,	PUNCT
fbem-2819	3	32	and	and	CCONJ
fbem-2819	3	33	dimensionality	dimensionality	NOUN
fbem-2819	3	34	reduction	reduction	NOUN
fbem-2819	3	35	,	,	PUNCT
fbem-2819	3	36	and	and	CCONJ
fbem-2819	3	37	the	the	DET
fbem-2819	3	38	results	result	NOUN
fbem-2819	3	39	show	show	VERB
fbem-2819	3	40	that	that	SCONJ
fbem-2819	3	41	the	the	DET
fbem-2819	3	42	machine	machine	NOUN
fbem-2819	3	43	learning	learn	VERB
fbem-2819	3	44	algorithm	algorithm	NOUN
fbem-2819	3	45	improves	improve	VERB
fbem-2819	3	46	the	the	DET
fbem-2819	3	47	stability	stability	NOUN
fbem-2819	3	48	and	and	CCONJ
fbem-2819	3	49	multi	multi	ADJ
fbem-2819	3	50	-	-	ADJ
fbem-2819	3	51	domain	domain	ADJ
fbem-2819	3	52	application	application	NOUN
fbem-2819	3	53	of	of	ADP
fbem-2819	3	54	computer	computer	NOUN
fbem-2819	3	55	image	image	NOUN
fbem-2819	3	56	recognition	recognition	NOUN
fbem-2819	3	57	through	through	ADP
fbem-2819	3	58	cross	cross	ADJ
fbem-2819	3	59	-	-	NOUN
fbem-2819	3	60	verification	verification	NOUN
fbem-2819	3	61	and	and	CCONJ
fbem-2819	3	62	deviation	deviation	NOUN
fbem-2819	3	63	of	of	ADP
fbem-2819	3	64	decision	decision	NOUN
fbem-2819	3	65	tree	tree	NOUN
fbem-2819	3	66	units	unit	NOUN
fbem-2819	3	67	.	.	PUNCT
fbem-2819	4	1	recognition	recognition	NOUN
fbem-2819	4	2	technologies	technology	NOUN
fbem-2819	4	3	such	such	ADJ
fbem-2819	4	4	as	as	ADP
fbem-2819	4	5	feature	feature	NOUN
fbem-2819	4	6	vector	vector	NOUN
fbem-2819	4	7	extraction	extraction	NOUN
fbem-2819	4	8	,	,	PUNCT
fbem-2819	4	9	edge	edge	NOUN
fbem-2819	4	10	information	information	NOUN
fbem-2819	4	11	,	,	PUNCT
fbem-2819	4	12	and	and	CCONJ
fbem-2819	4	13	texture	texture	NOUN
fbem-2819	4	14	features	feature	NOUN
fbem-2819	4	15	of	of	ADP
fbem-2819	4	16	machine	machine	NOUN
fbem-2819	4	17	learning	learn	VERB
fbem-2819	4	18	algorithms	algorithm	NOUN
fbem-2819	4	19	improve	improve	VERB
fbem-2819	4	20	the	the	DET
fbem-2819	4	21	accuracy	accuracy	NOUN
fbem-2819	4	22	of	of	ADP
fbem-2819	4	23	image	image	NOUN
fbem-2819	4	24	recognition	recognition	NOUN
fbem-2819	4	25	.	.	PUNCT
fbem-2819	5	1	keywords	keyword	NOUN
fbem-2819	5	2	:	:	PUNCT
fbem-2819	5	3	artificial	artificial	ADJ
fbem-2819	5	4	intelligence	intelligence	NOUN
fbem-2819	5	5	,	,	PUNCT
fbem-2819	5	6	machine	machine	NOUN
fbem-2819	5	7	learning	learning	NOUN
fbem-2819	5	8	,	,	PUNCT
fbem-2819	5	9	and	and	CCONJ
fbem-2819	5	10	image	image	NOUN
fbem-2819	5	11	recognition	recognition	NOUN
fbem-2819	5	12	.	.	PUNCT
fbem-2819	6	1	1	1	X
fbem-2819	6	2	.	.	X
fbem-2819	6	3	introduction	introduction	NOUN
fbem-2819	6	4	artificial	artificial	ADJ
fbem-2819	6	5	intelligence	intelligence	NOUN
fbem-2819	6	6	technology	technology	NOUN
fbem-2819	6	7	has	have	AUX
fbem-2819	6	8	been	be	AUX
fbem-2819	6	9	popularized	popularize	VERB
fbem-2819	6	10	in	in	ADP
fbem-2819	6	11	all	all	DET
fbem-2819	6	12	fields	field	NOUN
fbem-2819	6	13	of	of	ADP
fbem-2819	6	14	society	society	NOUN
fbem-2819	6	15	,	,	PUNCT
fbem-2819	6	16	which	which	PRON
fbem-2819	6	17	not	not	PART
fbem-2819	6	18	only	only	ADV
fbem-2819	6	19	brings	bring	VERB
fbem-2819	6	20	convenience	convenience	NOUN
fbem-2819	6	21	to	to	ADP
fbem-2819	6	22	people	people	NOUN
fbem-2819	6	23	's	's	PART
fbem-2819	6	24	production	production	NOUN
fbem-2819	6	25	and	and	CCONJ
fbem-2819	6	26	life	life	NOUN
fbem-2819	6	27	but	but	CCONJ
fbem-2819	6	28	also	also	ADV
fbem-2819	6	29	promotes	promote	VERB
fbem-2819	6	30	social	social	ADJ
fbem-2819	6	31	and	and	CCONJ
fbem-2819	6	32	economic	economic	ADJ
fbem-2819	6	33	development	development	NOUN
fbem-2819	6	34	.	.	PUNCT
fbem-2819	7	1	artificial	artificial	ADJ
fbem-2819	7	2	intelligence	intelligence	NOUN
fbem-2819	7	3	technology	technology	NOUN
fbem-2819	7	4	is	be	AUX
fbem-2819	7	5	relatively	relatively	ADV
fbem-2819	7	6	comprehensive	comprehensive	ADJ
fbem-2819	7	7	,	,	PUNCT
fbem-2819	7	8	including	include	VERB
fbem-2819	7	9	advanced	advanced	ADJ
fbem-2819	7	10	technologies	technology	NOUN
fbem-2819	7	11	such	such	ADJ
fbem-2819	7	12	as	as	ADP
fbem-2819	7	13	computers	computer	NOUN
fbem-2819	7	14	and	and	CCONJ
fbem-2819	7	15	networks	network	NOUN
fbem-2819	7	16	,	,	PUNCT
fbem-2819	7	17	and	and	CCONJ
fbem-2819	7	18	integrates	integrate	VERB
fbem-2819	7	19	engineering	engineering	NOUN
fbem-2819	7	20	technology	technology	NOUN
fbem-2819	7	21	and	and	CCONJ
fbem-2819	7	22	mathematical	mathematical	ADJ
fbem-2819	7	23	sciences	science	NOUN
fbem-2819	7	24	.	.	PUNCT
fbem-2819	8	1	in	in	ADP
fbem-2819	8	2	order	order	NOUN
fbem-2819	8	3	to	to	PART
fbem-2819	8	4	give	give	VERB
fbem-2819	8	5	full	full	ADJ
fbem-2819	8	6	play	play	NOUN
fbem-2819	8	7	to	to	ADP
fbem-2819	8	8	the	the	DET
fbem-2819	8	9	value	value	NOUN
fbem-2819	8	10	of	of	ADP
fbem-2819	8	11	artificial	artificial	ADJ
fbem-2819	8	12	intelligence	intelligence	NOUN
fbem-2819	8	13	technology	technology	NOUN
fbem-2819	8	14	,	,	PUNCT
fbem-2819	8	15	research	research	NOUN
fbem-2819	8	16	in	in	ADP
fbem-2819	8	17	the	the	DET
fbem-2819	8	18	field	field	NOUN
fbem-2819	8	19	of	of	ADP
fbem-2819	8	20	artificial	artificial	ADJ
fbem-2819	8	21	intelligence	intelligence	NOUN
fbem-2819	8	22	should	should	AUX
fbem-2819	8	23	make	make	VERB
fbem-2819	8	24	the	the	DET
fbem-2819	8	25	operation	operation	NOUN
fbem-2819	8	26	of	of	ADP
fbem-2819	8	27	machines	machine	NOUN
fbem-2819	8	28	fit	fit	VERB
fbem-2819	8	29	the	the	DET
fbem-2819	8	30	human	human	ADJ
fbem-2819	8	31	mind	mind	NOUN
fbem-2819	8	32	,	,	PUNCT
fbem-2819	8	33	recognize	recognize	VERB
fbem-2819	8	34	and	and	CCONJ
fbem-2819	8	35	understand	understand	VERB
fbem-2819	8	36	the	the	DET
fbem-2819	8	37	world	world	NOUN
fbem-2819	8	38	based	base	VERB
fbem-2819	8	39	on	on	ADP
fbem-2819	8	40	the	the	DET
fbem-2819	8	41	human	human	ADJ
fbem-2819	8	42	level	level	NOUN
fbem-2819	8	43	,	,	PUNCT
fbem-2819	8	44	and	and	CCONJ
fbem-2819	8	45	analyze	analyze	VERB
fbem-2819	8	46	,	,	PUNCT
fbem-2819	8	47	think	think	VERB
fbem-2819	8	48	and	and	CCONJ
fbem-2819	8	49	solve	solve	VERB
fbem-2819	8	50	problems	problem	NOUN
fbem-2819	8	51	like	like	ADP
fbem-2819	8	52	humans	human	NOUN
fbem-2819	8	53	.	.	PUNCT
fbem-2819	9	1	electronic	electronic	ADJ
fbem-2819	9	2	devices	device	NOUN
fbem-2819	9	3	such	such	ADJ
fbem-2819	9	4	as	as	ADP
fbem-2819	9	5	smartphones	smartphone	NOUN
fbem-2819	9	6	and	and	CCONJ
fbem-2819	9	7	digital	digital	ADJ
fbem-2819	9	8	cameras	camera	NOUN
fbem-2819	9	9	are	be	AUX
fbem-2819	9	10	becoming	become	VERB
fbem-2819	9	11	more	more	ADV
fbem-2819	9	12	popular	popular	ADJ
fbem-2819	9	13	,	,	PUNCT
fbem-2819	9	14	and	and	CCONJ
fbem-2819	9	15	people	people	NOUN
fbem-2819	9	16	have	have	VERB
fbem-2819	9	17	more	more	ADJ
fbem-2819	9	18	and	and	CCONJ
fbem-2819	9	19	more	more	ADJ
fbem-2819	9	20	means	mean	NOUN
fbem-2819	9	21	to	to	PART
fbem-2819	9	22	acquire	acquire	VERB
fbem-2819	9	23	images	image	NOUN
fbem-2819	9	24	.	.	PUNCT
fbem-2819	10	1	how	how	SCONJ
fbem-2819	10	2	to	to	PART
fbem-2819	10	3	extract	extract	VERB
fbem-2819	10	4	useful	useful	ADJ
fbem-2819	10	5	feature	feature	NOUN
fbem-2819	10	6	information	information	NOUN
fbem-2819	10	7	from	from	ADP
fbem-2819	10	8	a	a	DET
fbem-2819	10	9	large	large	ADJ
fbem-2819	10	10	number	number	NOUN
fbem-2819	10	11	of	of	ADP
fbem-2819	10	12	images	image	NOUN
fbem-2819	10	13	and	and	CCONJ
fbem-2819	10	14	then	then	ADV
fbem-2819	10	15	distinguish	distinguish	VERB
fbem-2819	10	16	the	the	DET
fbem-2819	10	17	images	image	NOUN
fbem-2819	10	18	has	have	AUX
fbem-2819	10	19	become	become	VERB
fbem-2819	10	20	very	very	ADV
fbem-2819	10	21	important	important	ADJ
fbem-2819	10	22	.	.	PUNCT
fbem-2819	11	1	at	at	ADP
fbem-2819	11	2	the	the	DET
fbem-2819	11	3	same	same	ADJ
fbem-2819	11	4	time	time	NOUN
fbem-2819	11	5	,	,	PUNCT
fbem-2819	11	6	with	with	ADP
fbem-2819	11	7	the	the	DET
fbem-2819	11	8	maturity	maturity	NOUN
fbem-2819	11	9	of	of	ADP
fbem-2819	11	10	artificial	artificial	ADJ
fbem-2819	11	11	intelligence	intelligence	NOUN
fbem-2819	11	12	technology	technology	NOUN
fbem-2819	11	13	and	and	CCONJ
fbem-2819	11	14	automatic	automatic	ADJ
fbem-2819	11	15	recognition	recognition	NOUN
fbem-2819	11	16	technology	technology	NOUN
fbem-2819	11	17	,	,	PUNCT
fbem-2819	11	18	more	more	ADV
fbem-2819	11	19	novel	novel	ADJ
fbem-2819	11	20	and	and	CCONJ
fbem-2819	11	21	advanced	advanced	ADJ
fbem-2819	11	22	machine	machine	NOUN
fbem-2819	11	23	learning	learn	VERB
fbem-2819	11	24	algorithms	algorithm	NOUN
fbem-2819	11	25	(	(	PUNCT
fbem-2819	11	26	such	such	ADJ
fbem-2819	11	27	as	as	ADP
fbem-2819	11	28	random	random	ADJ
fbem-2819	11	29	forest	forest	NOUN
fbem-2819	11	30	,	,	PUNCT
fbem-2819	11	31	etc	etc	X
fbem-2819	11	32	.	.	X
fbem-2819	11	33	)	)	PUNCT
fbem-2819	11	34	have	have	AUX
fbem-2819	11	35	been	be	AUX
fbem-2819	11	36	rapidly	rapidly	ADV
fbem-2819	11	37	applied	apply	VERB
fbem-2819	11	38	to	to	ADP
fbem-2819	11	39	image	image	NOUN
fbem-2819	11	40	recognition	recognition	NOUN
fbem-2819	11	41	technology	technology	NOUN
fbem-2819	11	42	,	,	PUNCT
fbem-2819	11	43	so	so	CCONJ
fbem-2819	11	44	this	this	DET
fbem-2819	11	45	algorithm	algorithm	NOUN
fbem-2819	11	46	plays	play	VERB
fbem-2819	11	47	an	an	DET
fbem-2819	11	48	important	important	ADJ
fbem-2819	11	49	role	role	NOUN
fbem-2819	11	50	in	in	ADP
fbem-2819	11	51	the	the	DET
fbem-2819	11	52	process	process	NOUN
fbem-2819	11	53	of	of	ADP
fbem-2819	11	54	digital	digital	ADJ
fbem-2819	11	55	image	image	NOUN
fbem-2819	11	56	automatic	automatic	ADJ
fbem-2819	11	57	recognition	recognition	NOUN
fbem-2819	11	58	.	.	PUNCT
fbem-2819	12	1	compared	compare	VERB
fbem-2819	12	2	with	with	ADP
fbem-2819	12	3	traditional	traditional	ADJ
fbem-2819	12	4	network	network	NOUN
fbem-2819	12	5	image	image	NOUN
fbem-2819	12	6	recognition	recognition	NOUN
fbem-2819	12	7	technology	technology	NOUN
fbem-2819	12	8	methods	method	NOUN
fbem-2819	12	9	,	,	PUNCT
fbem-2819	12	10	machine	machine	NOUN
fbem-2819	12	11	learning	learn	VERB
fbem-2819	12	12	algorithms	algorithm	NOUN
fbem-2819	12	13	collect	collect	VERB
fbem-2819	12	14	a	a	DET
fbem-2819	12	15	large	large	ADJ
fbem-2819	12	16	amount	amount	NOUN
fbem-2819	12	17	of	of	ADP
fbem-2819	12	18	simple	simple	ADJ
fbem-2819	12	19	unit	unit	NOUN
fbem-2819	12	20	information	information	NOUN
fbem-2819	12	21	of	of	ADP
fbem-2819	12	22	images	image	NOUN
fbem-2819	12	23	,	,	PUNCT
fbem-2819	12	24	and	and	CCONJ
fbem-2819	12	25	have	have	VERB
fbem-2819	12	26	the	the	DET
fbem-2819	12	27	capabilities	capability	NOUN
fbem-2819	12	28	of	of	ADP
fbem-2819	12	29	distributed	distribute	VERB
fbem-2819	12	30	structure	structure	NOUN
fbem-2819	12	31	storage	storage	NOUN
fbem-2819	12	32	,	,	PUNCT
fbem-2819	12	33	processing	processing	NOUN
fbem-2819	12	34	,	,	PUNCT
fbem-2819	12	35	classification	classification	NOUN
fbem-2819	12	36	,	,	PUNCT
fbem-2819	12	37	comparison	comparison	NOUN
fbem-2819	12	38	,	,	PUNCT
fbem-2819	12	39	and	and	CCONJ
fbem-2819	12	40	automatic	automatic	ADJ
fbem-2819	12	41	recognition	recognition	NOUN
fbem-2819	12	42	and	and	CCONJ
fbem-2819	12	43	learning	learning	NOUN
fbem-2819	12	44	.	.	PUNCT
fbem-2819	13	1	secondly	secondly	ADV
fbem-2819	13	2	,	,	PUNCT
fbem-2819	13	3	machine	machine	NOUN
fbem-2819	13	4	learning	learn	VERB
fbem-2819	13	5	automatic	automatic	ADJ
fbem-2819	13	6	recognition	recognition	NOUN
fbem-2819	13	7	technology	technology	NOUN
fbem-2819	13	8	,	,	PUNCT
fbem-2819	13	9	with	with	ADP
fbem-2819	13	10	its	its	PRON
fbem-2819	13	11	own	own	ADJ
fbem-2819	13	12	unique	unique	ADJ
fbem-2819	13	13	nonlinear	nonlinear	ADJ
fbem-2819	13	14	image	image	NOUN
fbem-2819	13	15	data	datum	NOUN
fbem-2819	13	16	information	information	NOUN
fbem-2819	13	17	processing	processing	NOUN
fbem-2819	13	18	capabilities	capability	NOUN
fbem-2819	13	19	,	,	PUNCT
fbem-2819	13	20	effectively	effectively	ADV
fbem-2819	13	21	makes	make	VERB
fbem-2819	13	22	up	up	ADP
fbem-2819	13	23	for	for	ADP
fbem-2819	13	24	the	the	DET
fbem-2819	13	25	shortcomings	shortcoming	NOUN
fbem-2819	13	26	of	of	ADP
fbem-2819	13	27	computer	computer	NOUN
fbem-2819	13	28	artificial	artificial	ADJ
fbem-2819	13	29	intelligence	intelligence	NOUN
fbem-2819	13	30	in	in	ADP
fbem-2819	13	31	the	the	DET
fbem-2819	13	32	intuitive	intuitive	ADJ
fbem-2819	13	33	recognition	recognition	NOUN
fbem-2819	13	34	of	of	ADP
fbem-2819	13	35	images	image	NOUN
fbem-2819	13	36	,	,	PUNCT
fbem-2819	13	37	and	and	CCONJ
fbem-2819	13	38	nonlinear	nonlinear	ADJ
fbem-2819	13	39	data	datum	NOUN
fbem-2819	13	40	information	information	NOUN
fbem-2819	13	41	adaptation	adaptation	NOUN
fbem-2819	13	42	ability[1	ability[1	NOUN
fbem-2819	13	43	]	]	PUNCT
fbem-2819	13	44	,	,	PUNCT
fbem-2819	13	45	while	while	SCONJ
fbem-2819	13	46	computer	computer	NOUN
fbem-2819	13	47	image	image	NOUN
fbem-2819	13	48	processing	processing	NOUN
fbem-2819	13	49	and	and	CCONJ
fbem-2819	13	50	recognition	recognition	NOUN
fbem-2819	13	51	technology	technology	NOUN
fbem-2819	13	52	based	base	VERB
fbem-2819	13	53	on	on	ADP
fbem-2819	13	54	machine	machine	NOUN
fbem-2819	13	55	learning	learn	VERB
fbem-2819	13	56	algorithms	algorithm	NOUN
fbem-2819	13	57	effectively	effectively	ADV
fbem-2819	13	58	shorten	shorten	VERB
fbem-2819	13	59	the	the	DET
fbem-2819	13	60	efficiency	efficiency	NOUN
fbem-2819	13	61	value	value	NOUN
fbem-2819	13	62	of	of	ADP
fbem-2819	13	63	traditional	traditional	ADJ
fbem-2819	13	64	image	image	NOUN
fbem-2819	13	65	recognition	recognition	NOUN
fbem-2819	13	66	specific	specific	ADJ
fbem-2819	13	67	data	datum	NOUN
fbem-2819	13	68	information	information	NOUN
fbem-2819	13	69	,	,	PUNCT
fbem-2819	13	70	not	not	PART
fbem-2819	13	71	only	only	ADV
fbem-2819	13	72	improves	improve	VERB
fbem-2819	13	73	the	the	DET
fbem-2819	13	74	computing	computing	NOUN
fbem-2819	13	75	ability	ability	NOUN
fbem-2819	13	76	of	of	ADP
fbem-2819	13	77	related	related	ADJ
fbem-2819	13	78	image	image	NOUN
fbem-2819	13	79	data	datum	NOUN
fbem-2819	13	80	but	but	CCONJ
fbem-2819	13	81	also	also	ADV
fbem-2819	13	82	expands	expand	VERB
fbem-2819	13	83	the	the	DET
fbem-2819	13	84	application	application	NOUN
fbem-2819	13	85	scope	scope	NOUN
fbem-2819	13	86	of	of	ADP
fbem-2819	13	87	image	image	NOUN
fbem-2819	13	88	recognition	recognition	NOUN
fbem-2819	13	89	technology	technology	NOUN
fbem-2819	13	90	.	.	PUNCT
fbem-2819	14	1	in	in	ADP
fbem-2819	14	2	summary	summary	NOUN
fbem-2819	14	3	,	,	PUNCT
fbem-2819	14	4	this	this	DET
fbem-2819	14	5	study	study	NOUN
fbem-2819	14	6	uses	use	VERB
fbem-2819	14	7	machine	machine	NOUN
fbem-2819	14	8	learning	learn	VERB
fbem-2819	14	9	algorithms	algorithm	NOUN
fbem-2819	14	10	with	with	ADP
fbem-2819	14	11	high	high	ADJ
fbem-2819	14	12	efficiency	efficiency	NOUN
fbem-2819	14	13	and	and	CCONJ
fbem-2819	14	14	high	high	ADJ
fbem-2819	14	15	accuracy	accuracy	NOUN
fbem-2819	14	16	as	as	ADP
fbem-2819	14	17	the	the	DET
fbem-2819	14	18	basis	basis	NOUN
fbem-2819	14	19	for	for	ADP
fbem-2819	14	20	image	image	NOUN
fbem-2819	14	21	recognition	recognition	NOUN
fbem-2819	14	22	technology	technology	NOUN
fbem-2819	14	23	and	and	CCONJ
fbem-2819	14	24	applies	apply	VERB
fbem-2819	14	25	them	they	PRON
fbem-2819	14	26	to	to	ADP
fbem-2819	14	27	network	network	NOUN
fbem-2819	14	28	image	image	NOUN
fbem-2819	14	29	recognition	recognition	NOUN
fbem-2819	14	30	systems	system	NOUN
fbem-2819	14	31	through	through	ADP
fbem-2819	14	32	neural	neural	ADJ
fbem-2819	14	33	network	network	NOUN
fbem-2819	14	34	intelligent	intelligent	ADJ
fbem-2819	14	35	control	control	NOUN
fbem-2819	14	36	,	,	PUNCT
fbem-2819	14	37	feature	feature	NOUN
fbem-2819	14	38	vector	vector	NOUN
fbem-2819	14	39	extraction	extraction	NOUN
fbem-2819	14	40	,	,	PUNCT
fbem-2819	14	41	recognition	recognition	NOUN
fbem-2819	14	42	,	,	PUNCT
fbem-2819	14	43	information	information	NOUN
fbem-2819	14	44	combination	combination	NOUN
fbem-2819	14	45	optimization	optimization	NOUN
fbem-2819	14	46	,	,	PUNCT
fbem-2819	14	47	and	and	CCONJ
fbem-2819	14	48	classification	classification	NOUN
fbem-2819	14	49	,	,	PUNCT
fbem-2819	14	50	on	on	ADP
fbem-2819	14	51	the	the	DET
fbem-2819	14	52	one	one	NUM
fbem-2819	14	53	hand	hand	NOUN
fbem-2819	14	54	,	,	PUNCT
fbem-2819	14	55	to	to	PART
fbem-2819	14	56	enhance	enhance	VERB
fbem-2819	14	57	the	the	DET
fbem-2819	14	58	correct	correct	ADJ
fbem-2819	14	59	probability	probability	NOUN
fbem-2819	14	60	of	of	ADP
fbem-2819	14	61	digital	digital	ADJ
fbem-2819	14	62	image	image	NOUN
fbem-2819	14	63	recognition	recognition	NOUN
fbem-2819	14	64	,	,	PUNCT
fbem-2819	14	65	and	and	CCONJ
fbem-2819	14	66	on	on	ADP
fbem-2819	14	67	the	the	DET
fbem-2819	14	68	other	other	ADJ
fbem-2819	14	69	hand	hand	NOUN
fbem-2819	14	70	,	,	PUNCT
fbem-2819	14	71	to	to	PART
fbem-2819	14	72	make	make	VERB
fbem-2819	14	73	the	the	DET
fbem-2819	14	74	intelligent	intelligent	ADJ
fbem-2819	14	75	image	image	NOUN
fbem-2819	14	76	recognition	recognition	NOUN
fbem-2819	14	77	function	function	VERB
fbem-2819	14	78	more	more	ADV
fbem-2819	14	79	systematic	systematic	ADJ
fbem-2819	14	80	and	and	CCONJ
fbem-2819	14	81	comprehensive	comprehensive	ADJ
fbem-2819	14	82	.	.	PUNCT
fbem-2819	15	1	in	in	ADP
fbem-2819	15	2	this	this	DET
fbem-2819	15	3	way	way	NOUN
fbem-2819	15	4	,	,	PUNCT
fbem-2819	15	5	by	by	ADP
fbem-2819	15	6	analyzing	analyze	VERB
fbem-2819	15	7	the	the	DET
fbem-2819	15	8	accuracy	accuracy	NOUN
fbem-2819	15	9	of	of	ADP
fbem-2819	15	10	machine	machine	NOUN
fbem-2819	15	11	learning	learn	VERB
fbem-2819	15	12	image	image	NOUN
fbem-2819	15	13	recognition	recognition	NOUN
fbem-2819	15	14	,	,	PUNCT
fbem-2819	15	15	feature	feature	NOUN
fbem-2819	15	16	vectors	vector	NOUN
fbem-2819	15	17	,	,	PUNCT
fbem-2819	15	18	and	and	CCONJ
fbem-2819	15	19	other	other	ADJ
fbem-2819	15	20	indicators	indicator	NOUN
fbem-2819	15	21	,	,	PUNCT
fbem-2819	15	22	it	it	PRON
fbem-2819	15	23	provides	provide	VERB
fbem-2819	15	24	a	a	DET
fbem-2819	15	25	certain	certain	ADJ
fbem-2819	15	26	scientific	scientific	ADJ
fbem-2819	15	27	reference	reference	NOUN
fbem-2819	15	28	value	value	NOUN
fbem-2819	15	29	for	for	ADP
fbem-2819	15	30	the	the	DET
fbem-2819	15	31	design	design	NOUN
fbem-2819	15	32	,	,	PUNCT
fbem-2819	15	33	implementation	implementation	NOUN
fbem-2819	15	34	,	,	PUNCT
fbem-2819	15	35	and	and	CCONJ
fbem-2819	15	36	application	application	NOUN
fbem-2819	15	37	of	of	ADP
fbem-2819	15	38	a	a	DET
fbem-2819	15	39	machine	machine	NOUN
fbem-2819	15	40	learning	learn	VERB
fbem-2819	15	41	image	image	NOUN
fbem-2819	15	42	recognition	recognition	NOUN
fbem-2819	15	43	system	system	NOUN
fbem-2819	15	44	.	.	PUNCT
fbem-2819	16	1	2	2	X
fbem-2819	16	2	.	.	X
fbem-2819	16	3	image	image	NOUN
fbem-2819	16	4	recognition	recognition	NOUN
fbem-2819	16	5	principle	principle	ADJ
fbem-2819	16	6	exploration	exploration	NOUN
fbem-2819	16	7	analysis	analysis	NOUN
fbem-2819	16	8	of	of	ADP
fbem-2819	16	9	machine	machine	NOUN
fbem-2819	16	10	learning	learn	VERB
fbem-2819	16	11	2.1	2.1	NUM
fbem-2819	16	12	.	.	PUNCT
fbem-2819	17	1	analysis	analysis	NOUN
fbem-2819	17	2	of	of	ADP
fbem-2819	17	3	the	the	DET
fbem-2819	17	4	design	design	NOUN
fbem-2819	17	5	principle	principle	NOUN
fbem-2819	17	6	of	of	ADP
fbem-2819	17	7	the	the	DET
fbem-2819	17	8	overall	overall	ADJ
fbem-2819	17	9	architecture	architecture	NOUN
fbem-2819	17	10	of	of	ADP
fbem-2819	17	11	the	the	DET
fbem-2819	17	12	system	system	NOUN
fbem-2819	17	13	at	at	ADP
fbem-2819	17	14	present	present	ADJ
fbem-2819	17	15	,	,	PUNCT
fbem-2819	17	16	in	in	ADP
fbem-2819	17	17	the	the	DET
fbem-2819	17	18	field	field	NOUN
fbem-2819	17	19	of	of	ADP
fbem-2819	17	20	intelligent	intelligent	ADJ
fbem-2819	17	21	technology	technology	NOUN
fbem-2819	17	22	research	research	NOUN
fbem-2819	17	23	,	,	PUNCT
fbem-2819	17	24	image	image	NOUN
fbem-2819	17	25	recognition	recognition	NOUN
fbem-2819	17	26	system	system	NOUN
fbem-2819	17	27	technology	technology	NOUN
fbem-2819	17	28	is	be	AUX
fbem-2819	17	29	extremely	extremely	ADV
fbem-2819	17	30	critical	critical	ADJ
fbem-2819	17	31	to	to	PART
fbem-2819	17	32	improve	improve	VERB
fbem-2819	17	33	the	the	DET
fbem-2819	17	34	accuracy	accuracy	NOUN
fbem-2819	17	35	of	of	ADP
fbem-2819	17	36	image	image	NOUN
fbem-2819	17	37	interpretation	interpretation	NOUN
fbem-2819	17	38	and	and	CCONJ
fbem-2819	17	39	solve	solve	VERB
fbem-2819	17	40	the	the	DET
fbem-2819	17	41	practical	practical	ADJ
fbem-2819	17	42	problems	problem	NOUN
fbem-2819	17	43	of	of	ADP
fbem-2819	17	44	image	image	NOUN
fbem-2819	17	45	feature	feature	NOUN
fbem-2819	17	46	pixels	pixel	NOUN
fbem-2819	17	47	.	.	PUNCT
fbem-2819	18	1	on	on	ADP
fbem-2819	18	2	this	this	DET
fbem-2819	18	3	basis	basis	NOUN
fbem-2819	18	4	,	,	PUNCT
fbem-2819	18	5	this	this	DET
fbem-2819	18	6	study	study	NOUN
fbem-2819	18	7	constructs	construct	VERB
fbem-2819	18	8	an	an	DET
fbem-2819	18	9	image	image	NOUN
fbem-2819	18	10	recognition	recognition	NOUN
fbem-2819	18	11	system	system	NOUN
fbem-2819	18	12	with	with	ADP
fbem-2819	18	13	machine	machine	NOUN
fbem-2819	18	14	learning	learn	VERB
fbem-2819	18	15	algorithms	algorithm	NOUN
fbem-2819	18	16	with	with	ADP
fbem-2819	18	17	excellent	excellent	ADJ
fbem-2819	18	18	fitting	fitting	ADJ
fbem-2819	18	19	,	,	PUNCT
fbem-2819	18	20	bias	bias	NOUN
fbem-2819	18	21	,	,	PUNCT
fbem-2819	18	22	and	and	CCONJ
fbem-2819	18	23	crossverification	crossverification	NOUN
fbem-2819	18	24	accuracy	accuracy	NOUN
fbem-2819	18	25	.	.	PUNCT
fbem-2819	19	1	under	under	ADP
fbem-2819	19	2	the	the	DET
fbem-2819	19	3	machine	machine	NOUN
fbem-2819	19	4	learning	learn	VERB
fbem-2819	19	5	mode	mode	NOUN
fbem-2819	19	6	,	,	PUNCT
fbem-2819	19	7	the	the	DET
fbem-2819	19	8	image	image	NOUN
fbem-2819	19	9	recognition	recognition	NOUN
fbem-2819	19	10	system	system	NOUN
fbem-2819	19	11	mainly	mainly	ADV
fbem-2819	19	12	detects	detect	VERB
fbem-2819	19	13	and	and	CCONJ
fbem-2819	19	14	recognizes	recognize	VERB
fbem-2819	19	15	patterns	pattern	NOUN
fbem-2819	19	16	through	through	ADP
fbem-2819	19	17	two	two	NUM
fbem-2819	19	18	types	type	NOUN
fbem-2819	19	19	,	,	PUNCT
fbem-2819	19	20	one	one	NUM
fbem-2819	19	21	is	be	AUX
fbem-2819	19	22	through	through	ADP
fbem-2819	19	23	image	image	NOUN
fbem-2819	19	24	data	datum	NOUN
fbem-2819	19	25	preprocessing	preprocessing	NOUN
fbem-2819	19	26	,	,	PUNCT
fbem-2819	19	27	image	image	NOUN
fbem-2819	19	28	feature	feature	NOUN
fbem-2819	19	29	information	information	NOUN
fbem-2819	19	30	extraction	extraction	NOUN
fbem-2819	19	31	and	and	CCONJ
fbem-2819	19	32	classification	classification	NOUN
fbem-2819	19	33	output	output	NOUN
fbem-2819	19	34	process	process	NOUN
fbem-2819	19	35	,	,	PUNCT
fbem-2819	19	36	the	the	DET
fbem-2819	19	37	category	category	NOUN
fbem-2819	19	38	recognition	recognition	NOUN
fbem-2819	19	39	mainly	mainly	ADV
fbem-2819	19	40	uses	use	VERB
fbem-2819	19	41	the	the	DET
fbem-2819	19	42	relevant	relevant	ADJ
fbem-2819	19	43	feature	feature	NOUN
fbem-2819	19	44	vectors	vector	NOUN
fbem-2819	19	45	in	in	ADP
fbem-2819	19	46	the	the	DET
fbem-2819	19	47	collected	collect	VERB
fbem-2819	19	48	image	image	NOUN
fbem-2819	19	49	information	information	NOUN
fbem-2819	19	50	for	for	ADP
fbem-2819	19	51	analysis	analysis	NOUN
fbem-2819	19	52	and	and	CCONJ
fbem-2819	19	53	judgment	judgment	NOUN
fbem-2819	19	54	,	,	PUNCT
fbem-2819	19	55	and	and	CCONJ
fbem-2819	19	56	outputs	output	VERB
fbem-2819	19	57	the	the	DET
fbem-2819	19	58	same	same	ADJ
fbem-2819	19	59	category	category	NOUN
fbem-2819	19	60	through	through	ADP
fbem-2819	19	61	the	the	DET
fbem-2819	19	62	classifier	classifier	NOUN
fbem-2819	19	63	unit	unit	NOUN
fbem-2819	19	64	,	,	PUNCT
fbem-2819	19	65	which	which	PRON
fbem-2819	19	66	effectively	effectively	ADV
fbem-2819	19	67	improves	improve	VERB
fbem-2819	19	68	the	the	DET
fbem-2819	19	69	accuracy	accuracy	NOUN
fbem-2819	19	70	of	of	ADP
fbem-2819	19	71	image	image	NOUN
fbem-2819	19	72	classification	classification	NOUN
fbem-2819	19	73	and	and	CCONJ
fbem-2819	19	74	image	image	NOUN
fbem-2819	19	75	recognition	recognition	NOUN
fbem-2819	19	76	;	;	PUNCT
fbem-2819	19	77	on	on	ADP
fbem-2819	19	78	the	the	DET
fbem-2819	19	79	other	other	ADJ
fbem-2819	19	80	hand	hand	NOUN
fbem-2819	19	81	,	,	PUNCT
fbem-2819	19	82	the	the	DET
fbem-2819	19	83	machine	machine	NOUN
fbem-2819	19	84	learning	learn	VERB
fbem-2819	19	85	algorithm	algorithm	NOUN
fbem-2819	19	86	learns	learn	VERB
fbem-2819	19	87	the	the	DET
fbem-2819	19	88	simulated	simulate	VERB
fbem-2819	19	89	image	image	NOUN
fbem-2819	19	90	feature	feature	NOUN
fbem-2819	19	91	vector	vector	NOUN
fbem-2819	19	92	index	index	NOUN
fbem-2819	19	93	through	through	ADP
fbem-2819	19	94	its	its	PRON
fbem-2819	19	95	own	own	ADJ
fbem-2819	19	96	training	training	NOUN
fbem-2819	19	97	set	set	NOUN
fbem-2819	19	98	and	and	CCONJ
fbem-2819	19	99	test	test	NOUN
fbem-2819	19	100	set	set	VERB
fbem-2819	19	101	,	,	PUNCT
fbem-2819	19	102	and	and	CCONJ
fbem-2819	19	103	in	in	ADP
fbem-2819	19	104	the	the	DET
fbem-2819	19	105	process	process	NOUN
fbem-2819	19	106	of	of	ADP
fbem-2819	19	107	detection	detection	NOUN
fbem-2819	19	108	and	and	CCONJ
fbem-2819	19	109	recognition	recognition	NOUN
fbem-2819	19	110	,	,	PUNCT
fbem-2819	19	111	the	the	DET
fbem-2819	19	112	image	image	NOUN
fbem-2819	19	113	information	information	NOUN
fbem-2819	19	114	is	be	AUX
fbem-2819	19	115	divided	divide	VERB
fbem-2819	19	116	by	by	ADP
fbem-2819	19	117	specifying	specify	VERB
fbem-2819	19	118	the	the	DET
fbem-2819	19	119	standard	standard	ADJ
fbem-2819	19	120	learning	learning	NOUN
fbem-2819	19	121	sample	sample	NOUN
fbem-2819	19	122	set	set	NOUN
fbem-2819	19	123	,	,	PUNCT
fbem-2819	19	124	and	and	CCONJ
fbem-2819	19	125	the	the	DET
fbem-2819	19	126	image	image	NOUN
fbem-2819	19	127	feature	feature	NOUN
fbem-2819	19	128	vector	vector	NOUN
fbem-2819	19	129	values	value	NOUN
fbem-2819	19	130	are	be	AUX
fbem-2819	19	131	extracted	extract	VERB
fbem-2819	19	132	from	from	ADP
fbem-2819	19	133	different	different	ADJ
fbem-2819	19	134	learning	learn	VERB
fbem-2819	19	135	111	111	NUM
fbem-2819	19	136	samples	sample	NOUN
fbem-2819	19	137	,	,	PUNCT
fbem-2819	19	138	so	so	SCONJ
fbem-2819	19	139	as	as	SCONJ
fbem-2819	19	140	to	to	PART
fbem-2819	19	141	accurately	accurately	ADV
fbem-2819	19	142	complete	complete	VERB
fbem-2819	19	143	the	the	DET
fbem-2819	19	144	image	image	NOUN
fbem-2819	19	145	recognition	recognition	NOUN
fbem-2819	19	146	learning	learn	VERB
fbem-2819	19	147	task	task	NOUN
fbem-2819	19	148	by	by	ADP
fbem-2819	19	149	simulating	simulate	VERB
fbem-2819	19	150	the	the	DET
fbem-2819	19	151	image	image	NOUN
fbem-2819	19	152	dataset	dataset	VERB
fbem-2819	19	153	with	with	ADP
fbem-2819	19	154	similar	similar	ADJ
fbem-2819	19	155	algorithms	algorithm	NOUN
fbem-2819	19	156	through	through	ADP
fbem-2819	19	157	the	the	DET
fbem-2819	19	158	standard	standard	ADJ
fbem-2819	19	159	test	test	NOUN
fbem-2819	19	160	set	set	VERB
fbem-2819	19	161	determined	determine	VERB
fbem-2819	19	162	by	by	ADP
fbem-2819	19	163	the	the	DET
fbem-2819	19	164	learning	learning	NOUN
fbem-2819	19	165	sample	sample	NOUN
fbem-2819	19	166	.	.	PUNCT
fbem-2819	20	1	to	to	PART
fbem-2819	20	2	carry	carry	VERB
fbem-2819	20	3	out	out	ADP
fbem-2819	20	4	machine	machine	NOUN
fbem-2819	20	5	learning	learn	VERB
fbem-2819	20	6	around	around	ADP
fbem-2819	20	7	the	the	DET
fbem-2819	20	8	field	field	NOUN
fbem-2819	20	9	of	of	ADP
fbem-2819	20	10	artificial	artificial	ADJ
fbem-2819	20	11	intelligence	intelligence	NOUN
fbem-2819	20	12	to	to	PART
fbem-2819	20	13	ensure	ensure	VERB
fbem-2819	20	14	the	the	DET
fbem-2819	20	15	smooth	smooth	ADJ
fbem-2819	20	16	development	development	NOUN
fbem-2819	20	17	of	of	ADP
fbem-2819	20	18	the	the	DET
fbem-2819	20	19	operation	operation	NOUN
fbem-2819	20	20	,	,	PUNCT
fbem-2819	20	21	we	we	PRON
fbem-2819	20	22	can	can	AUX
fbem-2819	20	23	start	start	VERB
fbem-2819	20	24	from	from	ADP
fbem-2819	20	25	environmental	environmental	ADJ
fbem-2819	20	26	adaptability	adaptability	NOUN
fbem-2819	20	27	,	,	PUNCT
fbem-2819	20	28	build	build	VERB
fbem-2819	20	29	a	a	DET
fbem-2819	20	30	feedback	feedback	NOUN
fbem-2819	20	31	evaluation	evaluation	NOUN
fbem-2819	20	32	system	system	NOUN
fbem-2819	20	33	,	,	PUNCT
fbem-2819	20	34	expand	expand	VERB
fbem-2819	20	35	the	the	DET
fbem-2819	20	36	knowledge	knowledge	NOUN
fbem-2819	20	37	base	base	NOUN
fbem-2819	20	38	,	,	PUNCT
fbem-2819	20	39	etc	etc	X
fbem-2819	20	40	.	.	X
fbem-2819	20	41	,	,	PUNCT
fbem-2819	20	42	as	as	SCONJ
fbem-2819	20	43	follows	follow	VERB
fbem-2819	20	44	:	:	PUNCT
fbem-2819	20	45	(	(	PUNCT
fbem-2819	20	46	1	1	X
fbem-2819	20	47	)	)	PUNCT
fbem-2819	20	48	machine	machine	NOUN
fbem-2819	20	49	learning	learning	NOUN
fbem-2819	20	50	from	from	ADP
fbem-2819	20	51	the	the	DET
fbem-2819	20	52	perspective	perspective	NOUN
fbem-2819	20	53	of	of	ADP
fbem-2819	20	54	environmental	environmental	ADJ
fbem-2819	20	55	adaptability	adaptability	NOUN
fbem-2819	20	56	.	.	PUNCT
fbem-2819	21	1	there	there	PRON
fbem-2819	21	2	are	be	VERB
fbem-2819	21	3	huge	huge	ADJ
fbem-2819	21	4	differences	difference	NOUN
fbem-2819	21	5	between	between	ADP
fbem-2819	21	6	humans	human	NOUN
fbem-2819	21	7	and	and	CCONJ
fbem-2819	21	8	machine	machine	NOUN
fbem-2819	21	9	learning	learning	NOUN
fbem-2819	21	10	,	,	PUNCT
fbem-2819	21	11	the	the	DET
fbem-2819	21	12	most	most	ADV
fbem-2819	21	13	prominent	prominent	ADJ
fbem-2819	21	14	of	of	ADP
fbem-2819	21	15	which	which	PRON
fbem-2819	21	16	is	be	AUX
fbem-2819	21	17	environmental	environmental	ADJ
fbem-2819	21	18	adaptability	adaptability	NOUN
fbem-2819	21	19	.	.	PUNCT
fbem-2819	22	1	therefore	therefore	ADV
fbem-2819	22	2	,	,	PUNCT
fbem-2819	22	3	in	in	ADP
fbem-2819	22	4	the	the	DET
fbem-2819	22	5	field	field	NOUN
fbem-2819	22	6	of	of	ADP
fbem-2819	22	7	artificial	artificial	ADJ
fbem-2819	22	8	intelligence	intelligence	NOUN
fbem-2819	22	9	,	,	PUNCT
fbem-2819	22	10	it	it	PRON
fbem-2819	22	11	is	be	AUX
fbem-2819	22	12	necessary	necessary	ADJ
fbem-2819	22	13	to	to	PART
fbem-2819	22	14	focus	focus	VERB
fbem-2819	22	15	on	on	ADP
fbem-2819	22	16	environmental	environmental	ADJ
fbem-2819	22	17	adaptive	adaptive	ADJ
fbem-2819	22	18	machine	machine	NOUN
fbem-2819	22	19	learning	learning	NOUN
fbem-2819	22	20	.	.	PUNCT
fbem-2819	23	1	in	in	ADP
fbem-2819	23	2	machine	machine	NOUN
fbem-2819	23	3	learning	learning	NOUN
fbem-2819	23	4	,	,	PUNCT
fbem-2819	23	5	to	to	PART
fbem-2819	23	6	achieve	achieve	VERB
fbem-2819	23	7	the	the	DET
fbem-2819	23	8	desired	desire	VERB
fbem-2819	23	9	results	result	NOUN
fbem-2819	23	10	,	,	PUNCT
fbem-2819	23	11	it	it	PRON
fbem-2819	23	12	is	be	AUX
fbem-2819	23	13	necessary	necessary	ADJ
fbem-2819	23	14	to	to	PART
fbem-2819	23	15	create	create	VERB
fbem-2819	23	16	the	the	DET
fbem-2819	23	17	right	right	ADJ
fbem-2819	23	18	environment	environment	NOUN
fbem-2819	23	19	to	to	PART
fbem-2819	23	20	improve	improve	VERB
fbem-2819	23	21	the	the	DET
fbem-2819	23	22	timeliness	timeliness	NOUN
fbem-2819	23	23	of	of	ADP
fbem-2819	23	24	the	the	DET
fbem-2819	23	25	artificial	artificial	ADJ
fbem-2819	23	26	intelligence	intelligence	NOUN
fbem-2819	23	27	system	system	NOUN
fbem-2819	23	28	.	.	PUNCT
fbem-2819	24	1	at	at	ADP
fbem-2819	24	2	the	the	DET
fbem-2819	24	3	same	same	ADJ
fbem-2819	24	4	time	time	NOUN
fbem-2819	24	5	,	,	PUNCT
fbem-2819	24	6	environmental	environmental	ADJ
fbem-2819	24	7	adaptability	adaptability	NOUN
fbem-2819	24	8	also	also	ADV
fbem-2819	24	9	has	have	VERB
fbem-2819	24	10	a	a	DET
fbem-2819	24	11	great	great	ADJ
fbem-2819	24	12	role	role	NOUN
fbem-2819	24	13	,	,	PUNCT
fbem-2819	24	14	that	that	ADV
fbem-2819	24	15	is	is	ADV
fbem-2819	24	16	,	,	PUNCT
fbem-2819	24	17	to	to	PART
fbem-2819	24	18	establish	establish	VERB
fbem-2819	24	19	a	a	DET
fbem-2819	24	20	preservation	preservation	NOUN
fbem-2819	24	21	system	system	NOUN
fbem-2819	24	22	of	of	ADP
fbem-2819	24	23	internal	internal	ADJ
fbem-2819	24	24	system	system	NOUN
fbem-2819	24	25	with	with	ADP
fbem-2819	24	26	reference	reference	NOUN
fbem-2819	24	27	to	to	ADP
fbem-2819	24	28	this	this	PRON
fbem-2819	24	29	.	.	PUNCT
fbem-2819	25	1	however	however	ADV
fbem-2819	25	2	,	,	PUNCT
fbem-2819	25	3	the	the	DET
fbem-2819	25	4	environment	environment	NOUN
fbem-2819	25	5	is	be	AUX
fbem-2819	25	6	not	not	PART
fbem-2819	25	7	always	always	ADV
fbem-2819	25	8	unchanged	unchanged	ADJ
fbem-2819	25	9	,	,	PUNCT
fbem-2819	25	10	both	both	PRON
fbem-2819	25	11	complex	complex	ADJ
fbem-2819	25	12	and	and	CCONJ
fbem-2819	25	13	changeable	changeable	ADJ
fbem-2819	25	14	,	,	PUNCT
fbem-2819	25	15	it	it	PRON
fbem-2819	25	16	is	be	AUX
fbem-2819	25	17	necessary	necessary	ADJ
fbem-2819	25	18	to	to	PART
fbem-2819	25	19	have	have	VERB
fbem-2819	25	20	a	a	DET
fbem-2819	25	21	huge	huge	ADJ
fbem-2819	25	22	amount	amount	NOUN
fbem-2819	25	23	of	of	ADP
fbem-2819	25	24	data	datum	NOUN
fbem-2819	25	25	information	information	NOUN
fbem-2819	25	26	during	during	ADP
fbem-2819	25	27	machine	machine	NOUN
fbem-2819	25	28	learning	learn	VERB
fbem-2819	25	29	to	to	PART
fbem-2819	25	30	support	support	VERB
fbem-2819	25	31	,	,	PUNCT
fbem-2819	25	32	delete	delete	ADJ
fbem-2819	25	33	irrelevant	irrelevant	ADJ
fbem-2819	25	34	programs	program	NOUN
fbem-2819	25	35	,	,	PUNCT
fbem-2819	25	36	eliminate	eliminate	VERB
fbem-2819	25	37	various	various	ADJ
fbem-2819	25	38	interference	interference	NOUN
fbem-2819	25	39	and	and	CCONJ
fbem-2819	25	40	adverse	adverse	ADJ
fbem-2819	25	41	factors	factor	NOUN
fbem-2819	25	42	,	,	PUNCT
fbem-2819	25	43	and	and	CCONJ
fbem-2819	25	44	constantly	constantly	ADV
fbem-2819	25	45	summarize	summarize	VERB
fbem-2819	25	46	and	and	CCONJ
fbem-2819	25	47	promote	promote	VERB
fbem-2819	25	48	,	,	PUNCT
fbem-2819	25	49	as	as	ADP
fbem-2819	25	50	a	a	DET
fbem-2819	25	51	benchmark	benchmark	NOUN
fbem-2819	25	52	to	to	PART
fbem-2819	25	53	provide	provide	VERB
fbem-2819	25	54	guidance	guidance	NOUN
fbem-2819	25	55	for	for	ADP
fbem-2819	25	56	research	research	NOUN
fbem-2819	25	57	and	and	CCONJ
fbem-2819	25	58	development	development	NOUN
fbem-2819	25	59	in	in	ADP
fbem-2819	25	60	the	the	DET
fbem-2819	25	61	field	field	NOUN
fbem-2819	25	62	of	of	ADP
fbem-2819	25	63	artificial	artificial	ADJ
fbem-2819	25	64	intelligence	intelligence	NOUN
fbem-2819	25	65	.	.	PUNCT
fbem-2819	26	1	the	the	DET
fbem-2819	26	2	use	use	NOUN
fbem-2819	26	3	of	of	ADP
fbem-2819	26	4	this	this	DET
fbem-2819	26	5	method	method	NOUN
fbem-2819	26	6	increases	increase	VERB
fbem-2819	26	7	the	the	DET
fbem-2819	26	8	complexity	complexity	NOUN
fbem-2819	26	9	of	of	ADP
fbem-2819	26	10	machine	machine	NOUN
fbem-2819	26	11	learning	learning	NOUN
fbem-2819	26	12	and	and	CCONJ
fbem-2819	26	13	affects	affect	VERB
fbem-2819	26	14	the	the	DET
fbem-2819	26	15	stability	stability	NOUN
fbem-2819	26	16	of	of	ADP
fbem-2819	26	17	artificial	artificial	ADJ
fbem-2819	26	18	intelligence	intelligence	NOUN
fbem-2819	26	19	systems	system	NOUN
fbem-2819	26	20	.	.	PUNCT
fbem-2819	27	1	(	(	PUNCT
fbem-2819	27	2	2	2	X
fbem-2819	27	3	)	)	PUNCT
fbem-2819	27	4	construct	construct	VERB
fbem-2819	27	5	a	a	DET
fbem-2819	27	6	machine	machine	NOUN
fbem-2819	27	7	learning	learn	VERB
fbem-2819	27	8	feedback	feedback	NOUN
fbem-2819	27	9	evaluation	evaluation	NOUN
fbem-2819	27	10	system	system	NOUN
fbem-2819	27	11	.	.	PUNCT
fbem-2819	28	1	in	in	ADP
fbem-2819	28	2	machine	machine	NOUN
fbem-2819	28	3	learning	learning	NOUN
fbem-2819	28	4	,	,	PUNCT
fbem-2819	28	5	the	the	DET
fbem-2819	28	6	most	most	ADV
fbem-2819	28	7	important	important	ADJ
fbem-2819	28	8	task	task	NOUN
fbem-2819	28	9	is	be	AUX
fbem-2819	28	10	to	to	PART
fbem-2819	28	11	build	build	VERB
fbem-2819	28	12	a	a	DET
fbem-2819	28	13	feedback	feedback	NOUN
fbem-2819	28	14	evaluation	evaluation	NOUN
fbem-2819	28	15	system	system	NOUN
fbem-2819	28	16	,	,	PUNCT
fbem-2819	28	17	which	which	PRON
fbem-2819	28	18	includes	include	VERB
fbem-2819	28	19	many	many	ADJ
fbem-2819	28	20	contents	content	NOUN
fbem-2819	28	21	,	,	PUNCT
fbem-2819	28	22	such	such	ADJ
fbem-2819	28	23	as	as	ADP
fbem-2819	28	24	basic	basic	ADJ
fbem-2819	28	25	feedback	feedback	NOUN
fbem-2819	28	26	and	and	CCONJ
fbem-2819	28	27	evaluation	evaluation	NOUN
fbem-2819	28	28	,	,	PUNCT
fbem-2819	28	29	which	which	PRON
fbem-2819	28	30	has	have	VERB
fbem-2819	28	31	a	a	DET
fbem-2819	28	32	certain	certain	ADJ
fbem-2819	28	33	complexity	complexity	NOUN
fbem-2819	28	34	,	,	PUNCT
fbem-2819	28	35	mainly	mainly	ADV
fbem-2819	28	36	reflected	reflect	VERB
fbem-2819	28	37	in	in	ADP
fbem-2819	28	38	the	the	DET
fbem-2819	28	39	variety	variety	NOUN
fbem-2819	28	40	of	of	ADP
fbem-2819	28	41	concepts[1	concepts[1	NOUN
fbem-2819	28	42	]	]	PUNCT
fbem-2819	28	43	;	;	PUNCT
fbem-2819	28	44	when	when	SCONJ
fbem-2819	28	45	constructing	construct	VERB
fbem-2819	28	46	a	a	DET
fbem-2819	28	47	strategic	strategic	ADJ
fbem-2819	28	48	analysis	analysis	NOUN
fbem-2819	28	49	and	and	CCONJ
fbem-2819	28	50	evaluation	evaluation	NOUN
fbem-2819	28	51	system	system	NOUN
fbem-2819	28	52	,	,	PUNCT
fbem-2819	28	53	it	it	PRON
fbem-2819	28	54	is	be	AUX
fbem-2819	28	55	necessary	necessary	ADJ
fbem-2819	28	56	to	to	PART
fbem-2819	28	57	establish	establish	VERB
fbem-2819	28	58	a	a	DET
fbem-2819	28	59	corresponding	corresponding	ADJ
fbem-2819	28	60	evaluation	evaluation	NOUN
fbem-2819	28	61	system	system	NOUN
fbem-2819	28	62	and	and	CCONJ
fbem-2819	28	63	apply	apply	VERB
fbem-2819	28	64	it	it	PRON
fbem-2819	28	65	rationally	rationally	ADV
fbem-2819	28	66	and	and	CCONJ
fbem-2819	28	67	scientifically	scientifically	ADV
fbem-2819	28	68	.	.	PUNCT
fbem-2819	29	1	it	it	PRON
fbem-2819	29	2	is	be	AUX
fbem-2819	29	3	worth	worth	ADJ
fbem-2819	29	4	noting	note	VERB
fbem-2819	29	5	that	that	SCONJ
fbem-2819	29	6	in	in	ADP
fbem-2819	29	7	the	the	DET
fbem-2819	29	8	application	application	NOUN
fbem-2819	29	9	of	of	ADP
fbem-2819	29	10	related	related	ADJ
fbem-2819	29	11	content	content	NOUN
fbem-2819	29	12	,	,	PUNCT
fbem-2819	29	13	it	it	PRON
fbem-2819	29	14	is	be	AUX
fbem-2819	29	15	necessary	necessary	ADJ
fbem-2819	29	16	to	to	PART
fbem-2819	29	17	consider	consider	VERB
fbem-2819	29	18	the	the	DET
fbem-2819	29	19	real	real	ADJ
fbem-2819	29	20	situation	situation	NOUN
fbem-2819	29	21	and	and	CCONJ
fbem-2819	29	22	complete	complete	VERB
fbem-2819	29	23	the	the	DET
fbem-2819	29	24	relevant	relevant	ADJ
fbem-2819	29	25	tasks	task	NOUN
fbem-2819	29	26	step	step	VERB
fbem-2819	29	27	by	by	ADP
fbem-2819	29	28	step	step	NOUN
fbem-2819	29	29	.	.	PUNCT
fbem-2819	30	1	in	in	ADP
fbem-2819	30	2	addition	addition	NOUN
fbem-2819	30	3	,	,	PUNCT
fbem-2819	30	4	ensure	ensure	VERB
fbem-2819	30	5	the	the	DET
fbem-2819	30	6	openness	openness	NOUN
fbem-2819	30	7	and	and	CCONJ
fbem-2819	30	8	transparency	transparency	NOUN
fbem-2819	30	9	of	of	ADP
fbem-2819	30	10	the	the	DET
fbem-2819	30	11	evaluation	evaluation	NOUN
fbem-2819	30	12	system	system	NOUN
fbem-2819	30	13	,	,	PUNCT
fbem-2819	30	14	including	include	VERB
fbem-2819	30	15	the	the	DET
fbem-2819	30	16	implementation	implementation	NOUN
fbem-2819	30	17	process	process	NOUN
fbem-2819	30	18	of	of	ADP
fbem-2819	30	19	the	the	DET
fbem-2819	30	20	system	system	NOUN
fbem-2819	30	21	and	and	CCONJ
fbem-2819	30	22	the	the	DET
fbem-2819	30	23	obtaining	obtaining	NOUN
fbem-2819	30	24	of	of	ADP
fbem-2819	30	25	results	result	NOUN
fbem-2819	30	26	.	.	PUNCT
fbem-2819	31	1	(	(	PUNCT
fbem-2819	31	2	3	3	X
fbem-2819	31	3	)	)	PUNCT
fbem-2819	31	4	expand	expand	VERB
fbem-2819	31	5	the	the	DET
fbem-2819	31	6	machine	machine	NOUN
fbem-2819	31	7	knowledge	knowledge	NOUN
fbem-2819	31	8	base	base	NOUN
fbem-2819	31	9	and	and	CCONJ
fbem-2819	31	10	extend	extend	VERB
fbem-2819	31	11	.	.	PUNCT
fbem-2819	32	1	in	in	ADP
fbem-2819	32	2	the	the	DET
fbem-2819	32	3	implementation	implementation	NOUN
fbem-2819	32	4	process	process	NOUN
fbem-2819	32	5	of	of	ADP
fbem-2819	32	6	machine	machine	NOUN
fbem-2819	32	7	learning	learning	NOUN
fbem-2819	32	8	,	,	PUNCT
fbem-2819	32	9	it	it	PRON
fbem-2819	32	10	is	be	AUX
fbem-2819	32	11	very	very	ADV
fbem-2819	32	12	important	important	ADJ
fbem-2819	32	13	to	to	PART
fbem-2819	32	14	scientifically	scientifically	ADV
fbem-2819	32	15	set	set	VERB
fbem-2819	32	16	up	up	ADP
fbem-2819	32	17	the	the	DET
fbem-2819	32	18	machine	machine	NOUN
fbem-2819	32	19	knowledge	knowledge	NOUN
fbem-2819	32	20	base	base	NOUN
fbem-2819	32	21	,	,	PUNCT
fbem-2819	32	22	which	which	PRON
fbem-2819	32	23	is	be	AUX
fbem-2819	32	24	rich	rich	ADJ
fbem-2819	32	25	in	in	ADP
fbem-2819	32	26	variety	variety	NOUN
fbem-2819	32	27	and	and	CCONJ
fbem-2819	32	28	expression	expression	NOUN
fbem-2819	32	29	,	,	PUNCT
fbem-2819	32	30	covering	cover	VERB
fbem-2819	32	31	feature	feature	NOUN
fbem-2819	32	32	vectors	vector	NOUN
fbem-2819	32	33	,	,	PUNCT
fbem-2819	32	34	network	network	NOUN
fbem-2819	32	35	associations	association	NOUN
fbem-2819	32	36	,	,	PUNCT
fbem-2819	32	37	etc	etc	X
fbem-2819	32	38	.	.	X
fbem-2819	32	39	to	to	PART
fbem-2819	32	40	achieve	achieve	VERB
fbem-2819	32	41	this	this	DET
fbem-2819	32	42	goal	goal	NOUN
fbem-2819	32	43	,	,	PUNCT
fbem-2819	32	44	the	the	DET
fbem-2819	32	45	machine	machine	NOUN
fbem-2819	32	46	knowledge	knowledge	NOUN
fbem-2819	32	47	base	base	PROPN
fbem-2819	32	48	needs	need	VERB
fbem-2819	32	49	to	to	PART
fbem-2819	32	50	be	be	AUX
fbem-2819	32	51	expanded	expand	VERB
fbem-2819	32	52	to	to	PART
fbem-2819	32	53	improve	improve	VERB
fbem-2819	32	54	the	the	DET
fbem-2819	32	55	effectiveness	effectiveness	NOUN
fbem-2819	32	56	of	of	ADP
fbem-2819	32	57	machine	machine	NOUN
fbem-2819	32	58	learning	learning	NOUN
fbem-2819	32	59	.	.	PUNCT
fbem-2819	33	1	it	it	PRON
fbem-2819	33	2	should	should	AUX
fbem-2819	33	3	be	be	AUX
fbem-2819	33	4	noted	note	VERB
fbem-2819	33	5	that	that	SCONJ
fbem-2819	33	6	during	during	ADP
fbem-2819	33	7	the	the	DET
fbem-2819	33	8	expansion	expansion	NOUN
fbem-2819	33	9	of	of	ADP
fbem-2819	33	10	the	the	DET
fbem-2819	33	11	machine	machine	NOUN
fbem-2819	33	12	knowledge	knowledge	NOUN
fbem-2819	33	13	base	base	NOUN
fbem-2819	33	14	,	,	PUNCT
fbem-2819	33	15	the	the	DET
fbem-2819	33	16	relevant	relevant	ADJ
fbem-2819	33	17	content	content	NOUN
fbem-2819	33	18	should	should	AUX
fbem-2819	33	19	also	also	ADV
fbem-2819	33	20	be	be	AUX
fbem-2819	33	21	expressed	express	VERB
fbem-2819	33	22	,	,	PUNCT
fbem-2819	33	23	that	that	ADV
fbem-2819	33	24	is	is	ADV
fbem-2819	33	25	,	,	PUNCT
fbem-2819	33	26	the	the	DET
fbem-2819	33	27	expression	expression	NOUN
fbem-2819	33	28	pattern	pattern	NOUN
fbem-2819	33	29	should	should	AUX
fbem-2819	33	30	be	be	AUX
fbem-2819	33	31	constructed	construct	VERB
fbem-2819	33	32	,	,	PUNCT
fbem-2819	33	33	the	the	DET
fbem-2819	33	34	logic	logic	NOUN
fbem-2819	33	35	of	of	ADP
fbem-2819	33	36	the	the	DET
fbem-2819	33	37	pattern	pattern	NOUN
fbem-2819	33	38	should	should	AUX
fbem-2819	33	39	be	be	AUX
fbem-2819	33	40	simple	simple	ADJ
fbem-2819	33	41	and	and	CCONJ
fbem-2819	33	42	clear	clear	ADJ
fbem-2819	33	43	,	,	PUNCT
fbem-2819	33	44	and	and	CCONJ
fbem-2819	33	45	the	the	DET
fbem-2819	33	46	meaning	meaning	NOUN
fbem-2819	33	47	should	should	AUX
fbem-2819	33	48	be	be	AUX
fbem-2819	33	49	clear	clear	ADJ
fbem-2819	33	50	to	to	PART
fbem-2819	33	51	reduce	reduce	VERB
fbem-2819	33	52	the	the	DET
fbem-2819	33	53	computational	computational	ADJ
fbem-2819	33	54	cost[2	cost[2	NOUN
fbem-2819	33	55	]	]	X
fbem-2819	33	56	.	.	PUNCT
fbem-2819	34	1	the	the	DET
fbem-2819	34	2	calculation	calculation	NOUN
fbem-2819	34	3	must	must	AUX
fbem-2819	34	4	ensure	ensure	VERB
fbem-2819	34	5	that	that	SCONJ
fbem-2819	34	6	the	the	DET
fbem-2819	34	7	reasoning	reasoning	NOUN
fbem-2819	34	8	process	process	NOUN
fbem-2819	34	9	is	be	AUX
fbem-2819	34	10	simple	simple	ADJ
fbem-2819	34	11	and	and	CCONJ
fbem-2819	34	12	easy	easy	ADJ
fbem-2819	34	13	to	to	PART
fbem-2819	34	14	understand	understand	VERB
fbem-2819	34	15	,	,	PUNCT
fbem-2819	34	16	which	which	PRON
fbem-2819	34	17	can	can	AUX
fbem-2819	34	18	not	not	PART
fbem-2819	34	19	only	only	ADV
fbem-2819	34	20	improve	improve	VERB
fbem-2819	34	21	the	the	DET
fbem-2819	34	22	efficiency	efficiency	NOUN
fbem-2819	34	23	of	of	ADP
fbem-2819	34	24	reasoning	reasoning	NOUN
fbem-2819	34	25	but	but	CCONJ
fbem-2819	34	26	also	also	ADV
fbem-2819	34	27	expand	expand	VERB
fbem-2819	34	28	its	its	PRON
fbem-2819	34	29	malleability	malleability	NOUN
fbem-2819	34	30	.	.	PUNCT
fbem-2819	35	1	the	the	DET
fbem-2819	35	2	malleability	malleability	NOUN
fbem-2819	35	3	here	here	ADV
fbem-2819	35	4	is	be	AUX
fbem-2819	35	5	mainly	mainly	ADV
fbem-2819	35	6	from	from	ADP
fbem-2819	35	7	the	the	DET
fbem-2819	35	8	knowledge	knowledge	NOUN
fbem-2819	35	9	level	level	NOUN
fbem-2819	35	10	to	to	PART
fbem-2819	35	11	achieve	achieve	VERB
fbem-2819	35	12	the	the	DET
fbem-2819	35	13	goal	goal	NOUN
fbem-2819	35	14	of	of	ADP
fbem-2819	35	15	maximizing	maximize	VERB
fbem-2819	35	16	knowledge	knowledge	NOUN
fbem-2819	35	17	extension	extension	NOUN
fbem-2819	35	18	.	.	PUNCT
fbem-2819	36	1	2.2	2.2	NUM
fbem-2819	36	2	.	.	PUNCT
fbem-2819	36	3	machine	machine	NOUN
fbem-2819	36	4	learning	learn	VERB
fbem-2819	36	5	computer	computer	NOUN
fbem-2819	36	6	image	image	NOUN
fbem-2819	36	7	recognition	recognition	NOUN
fbem-2819	36	8	technology	technology	NOUN
fbem-2819	36	9	analysis	analysis	NOUN
fbem-2819	36	10	in	in	ADP
fbem-2819	36	11	the	the	DET
fbem-2819	36	12	early	early	ADJ
fbem-2819	36	13	stage	stage	NOUN
fbem-2819	36	14	of	of	ADP
fbem-2819	36	15	computer	computer	NOUN
fbem-2819	36	16	image	image	NOUN
fbem-2819	36	17	recognition	recognition	NOUN
fbem-2819	36	18	,	,	PUNCT
fbem-2819	36	19	it	it	PRON
fbem-2819	36	20	has	have	VERB
fbem-2819	36	21	the	the	DET
fbem-2819	36	22	advantages	advantage	NOUN
fbem-2819	36	23	of	of	ADP
fbem-2819	36	24	information	information	NOUN
fbem-2819	36	25	storage	storage	NOUN
fbem-2819	36	26	,	,	PUNCT
fbem-2819	36	27	compressibility	compressibility	NOUN
fbem-2819	36	28	,	,	PUNCT
fbem-2819	36	29	and	and	CCONJ
fbem-2819	36	30	low	low	ADJ
fbem-2819	36	31	image	image	NOUN
fbem-2819	36	32	distortion	distortion	NOUN
fbem-2819	36	33	rate	rate	NOUN
fbem-2819	36	34	,	,	PUNCT
fbem-2819	36	35	but	but	CCONJ
fbem-2819	36	36	with	with	ADP
fbem-2819	36	37	the	the	DET
fbem-2819	36	38	continuous	continuous	ADJ
fbem-2819	36	39	progress	progress	NOUN
fbem-2819	36	40	of	of	ADP
fbem-2819	36	41	modern	modern	ADJ
fbem-2819	36	42	science	science	NOUN
fbem-2819	36	43	and	and	CCONJ
fbem-2819	36	44	technology	technology	NOUN
fbem-2819	36	45	,	,	PUNCT
fbem-2819	36	46	computer	computer	NOUN
fbem-2819	36	47	image	image	NOUN
fbem-2819	36	48	recognition	recognition	NOUN
fbem-2819	36	49	has	have	AUX
fbem-2819	36	50	gradually	gradually	ADV
fbem-2819	36	51	expanded	expand	VERB
fbem-2819	36	52	in	in	ADP
fbem-2819	36	53	the	the	DET
fbem-2819	36	54	direction	direction	NOUN
fbem-2819	36	55	of	of	ADP
fbem-2819	36	56	intelligence	intelligence	NOUN
fbem-2819	36	57	and	and	CCONJ
fbem-2819	36	58	artificialization	artificialization	NOUN
fbem-2819	36	59	,	,	PUNCT
fbem-2819	36	60	and	and	CCONJ
fbem-2819	36	61	gradually	gradually	ADV
fbem-2819	36	62	formed	form	VERB
fbem-2819	36	63	a	a	DET
fbem-2819	36	64	multi	multi	ADJ
fbem-2819	36	65	-	-	ADJ
fbem-2819	36	66	type	type	ADJ
fbem-2819	36	67	(	(	PUNCT
fbem-2819	36	68	machine	machine	NOUN
fbem-2819	36	69	learning	learning	NOUN
fbem-2819	36	70	,	,	PUNCT
fbem-2819	36	71	genetic	genetic	ADJ
fbem-2819	36	72	algorithm	algorithm	NOUN
fbem-2819	36	73	,	,	PUNCT
fbem-2819	36	74	neural	neural	ADJ
fbem-2819	36	75	network	network	NOUN
fbem-2819	36	76	,	,	PUNCT
fbem-2819	36	77	etc	etc	X
fbem-2819	36	78	.	.	X
fbem-2819	36	79	)	)	PUNCT
fbem-2819	36	80	image	image	NOUN
fbem-2819	36	81	recognition	recognition	NOUN
fbem-2819	36	82	technology	technology	NOUN
fbem-2819	36	83	,	,	PUNCT
fbem-2819	36	84	among	among	ADP
fbem-2819	36	85	which	which	PRON
fbem-2819	36	86	,	,	PUNCT
fbem-2819	36	87	neural	neural	ADJ
fbem-2819	36	88	network	network	NOUN
fbem-2819	36	89	technology	technology	NOUN
fbem-2819	36	90	is	be	AUX
fbem-2819	36	91	extremely	extremely	ADV
fbem-2819	36	92	critical	critical	ADJ
fbem-2819	36	93	in	in	ADP
fbem-2819	36	94	image	image	NOUN
fbem-2819	36	95	recognition	recognition	NOUN
fbem-2819	36	96	technology	technology	NOUN
fbem-2819	36	97	,	,	PUNCT
fbem-2819	36	98	which	which	PRON
fbem-2819	36	99	is	be	AUX
fbem-2819	36	100	mainly	mainly	ADV
fbem-2819	36	101	through	through	ADP
fbem-2819	36	102	the	the	DET
fbem-2819	36	103	construction	construction	NOUN
fbem-2819	36	104	of	of	ADP
fbem-2819	36	105	reasonable	reasonable	ADJ
fbem-2819	36	106	mathematical	mathematical	ADJ
fbem-2819	36	107	prediction	prediction	NOUN
fbem-2819	36	108	models	model	NOUN
fbem-2819	36	109	,	,	PUNCT
fbem-2819	36	110	through	through	ADP
fbem-2819	36	111	the	the	DET
fbem-2819	36	112	input	input	NOUN
fbem-2819	36	113	signal	signal	PROPN
fbem-2819	36	114	linear	linear	PROPN
fbem-2819	36	115	weighting	weighting	NOUN
fbem-2819	36	116	,	,	PUNCT
fbem-2819	36	117	the	the	DET
fbem-2819	36	118	summation	summation	NOUN
fbem-2819	36	119	and	and	CCONJ
fbem-2819	36	120	threshold	threshold	NOUN
fbem-2819	36	121	method	method	NOUN
fbem-2819	36	122	analyzes	analyze	VERB
fbem-2819	36	123	the	the	DET
fbem-2819	36	124	basic	basic	ADJ
fbem-2819	36	125	properties	property	NOUN
fbem-2819	36	126	of	of	ADP
fbem-2819	36	127	image	image	NOUN
fbem-2819	36	128	structure	structure	NOUN
fbem-2819	36	129	,	,	PUNCT
fbem-2819	36	130	that	that	ADV
fbem-2819	36	131	is	is	ADV
fbem-2819	36	132	,	,	PUNCT
fbem-2819	36	133	the	the	DET
fbem-2819	36	134	extraction	extraction	NOUN
fbem-2819	36	135	and	and	CCONJ
fbem-2819	36	136	selection	selection	NOUN
fbem-2819	36	137	of	of	ADP
fbem-2819	36	138	relevant	relevant	ADJ
fbem-2819	36	139	image	image	NOUN
fbem-2819	36	140	information	information	NOUN
fbem-2819	36	141	feature	feature	NOUN
fbem-2819	36	142	vectors	vector	NOUN
fbem-2819	36	143	in	in	ADP
fbem-2819	36	144	a	a	DET
fbem-2819	36	145	new	new	ADJ
fbem-2819	36	146	image	image	NOUN
fbem-2819	36	147	recognition	recognition	NOUN
fbem-2819	36	148	technology	technology	NOUN
fbem-2819	36	149	.	.	PUNCT
fbem-2819	37	1	firstly	firstly	ADV
fbem-2819	37	2	,	,	PUNCT
fbem-2819	37	3	the	the	DET
fbem-2819	37	4	image	image	NOUN
fbem-2819	37	5	samples	sample	NOUN
fbem-2819	37	6	are	be	AUX
fbem-2819	37	7	learned	learn	VERB
fbem-2819	37	8	and	and	CCONJ
fbem-2819	37	9	trained	train	VERB
fbem-2819	37	10	to	to	PART
fbem-2819	37	11	reduce	reduce	VERB
fbem-2819	37	12	the	the	DET
fbem-2819	37	13	error	error	NOUN
fbem-2819	37	14	range	range	NOUN
fbem-2819	37	15	when	when	SCONJ
fbem-2819	37	16	comparing	compare	VERB
fbem-2819	37	17	and	and	CCONJ
fbem-2819	37	18	extracting	extract	VERB
fbem-2819	37	19	feature	feature	NOUN
fbem-2819	37	20	vectors	vector	NOUN
fbem-2819	37	21	,	,	PUNCT
fbem-2819	37	22	and	and	CCONJ
fbem-2819	37	23	secondly	secondly	ADV
fbem-2819	37	24	,	,	PUNCT
fbem-2819	37	25	the	the	DET
fbem-2819	37	26	image	image	NOUN
fbem-2819	37	27	recognition	recognition	NOUN
fbem-2819	37	28	process	process	NOUN
fbem-2819	37	29	is	be	AUX
fbem-2819	37	30	carried	carry	VERB
fbem-2819	37	31	out	out	ADP
fbem-2819	37	32	through	through	ADP
fbem-2819	37	33	the	the	DET
fbem-2819	37	34	decision	decision	NOUN
fbem-2819	37	35	tree	tree	NOUN
fbem-2819	37	36	unit	unit	NOUN
fbem-2819	37	37	distribution	distribution	NOUN
fbem-2819	37	38	,	,	PUNCT
fbem-2819	37	39	which	which	PRON
fbem-2819	37	40	improves	improve	VERB
fbem-2819	37	41	the	the	DET
fbem-2819	37	42	stability	stability	NOUN
fbem-2819	37	43	of	of	ADP
fbem-2819	37	44	the	the	DET
fbem-2819	37	45	image	image	NOUN
fbem-2819	37	46	recognition	recognition	NOUN
fbem-2819	37	47	process	process	NOUN
fbem-2819	37	48	on	on	ADP
fbem-2819	37	49	the	the	DET
fbem-2819	37	50	one	one	NUM
fbem-2819	37	51	hand	hand	NOUN
fbem-2819	37	52	,	,	PUNCT
fbem-2819	37	53	and	and	CCONJ
fbem-2819	37	54	improves	improve	VERB
fbem-2819	37	55	the	the	DET
fbem-2819	37	56	recognition	recognition	NOUN
fbem-2819	37	57	effect	effect	NOUN
fbem-2819	37	58	and	and	CCONJ
fbem-2819	37	59	accuracy	accuracy	NOUN
fbem-2819	37	60	on	on	ADP
fbem-2819	37	61	the	the	DET
fbem-2819	37	62	other	other	ADJ
fbem-2819	37	63	hand	hand	NOUN
fbem-2819	37	64	.	.	PUNCT
fbem-2819	38	1	at	at	ADP
fbem-2819	38	2	present	present	ADJ
fbem-2819	38	3	,	,	PUNCT
fbem-2819	38	4	computer	computer	NOUN
fbem-2819	38	5	image	image	NOUN
fbem-2819	38	6	recognition	recognition	NOUN
fbem-2819	38	7	based	base	VERB
fbem-2819	38	8	on	on	ADP
fbem-2819	38	9	machine	machine	NOUN
fbem-2819	38	10	learning	learning	NOUN
fbem-2819	38	11	algorithms	algorithm	NOUN
fbem-2819	38	12	is	be	AUX
fbem-2819	38	13	widely	widely	ADV
fbem-2819	38	14	used	use	VERB
fbem-2819	38	15	in	in	ADP
fbem-2819	38	16	many	many	ADJ
fbem-2819	38	17	fields	field	NOUN
fbem-2819	38	18	(	(	PUNCT
fbem-2819	38	19	such	such	ADJ
fbem-2819	38	20	as	as	ADP
fbem-2819	38	21	image	image	NOUN
fbem-2819	38	22	batch	batch	NOUN
fbem-2819	38	23	processing	processing	NOUN
fbem-2819	38	24	,	,	PUNCT
fbem-2819	38	25	and	and	CCONJ
fbem-2819	38	26	traffic	traffic	NOUN
fbem-2819	38	27	dispatch	dispatch	NOUN
fbem-2819	38	28	management	management	NOUN
fbem-2819	38	29	)	)	PUNCT
fbem-2819	38	30	,	,	PUNCT
fbem-2819	38	31	for	for	ADP
fbem-2819	38	32	example	example	NOUN
fbem-2819	38	33	,	,	PUNCT
fbem-2819	38	34	in	in	ADP
fbem-2819	38	35	traffic	traffic	NOUN
fbem-2819	38	36	dispatch	dispatch	NOUN
fbem-2819	38	37	management	management	NOUN
fbem-2819	38	38	,	,	PUNCT
fbem-2819	38	39	machine	machine	NOUN
fbem-2819	38	40	learning	learn	VERB
fbem-2819	38	41	image	image	NOUN
fbem-2819	38	42	recognition	recognition	NOUN
fbem-2819	38	43	after	after	ADP
fbem-2819	38	44	extracting	extract	VERB
fbem-2819	38	45	feature	feature	NOUN
fbem-2819	38	46	vehicle	vehicle	NOUN
fbem-2819	38	47	information	information	NOUN
fbem-2819	38	48	,	,	PUNCT
fbem-2819	38	49	classification	classification	NOUN
fbem-2819	38	50	,	,	PUNCT
fbem-2819	38	51	and	and	CCONJ
fbem-2819	38	52	comparison	comparison	NOUN
fbem-2819	38	53	analysis	analysis	NOUN
fbem-2819	38	54	,	,	PUNCT
fbem-2819	38	55	and	and	CCONJ
fbem-2819	38	56	through	through	ADP
fbem-2819	38	57	the	the	DET
fbem-2819	38	58	vehicle	vehicle	NOUN
fbem-2819	38	59	storage	storage	NOUN
fbem-2819	38	60	database	database	NOUN
fbem-2819	38	61	,	,	PUNCT
fbem-2819	38	62	quickly	quickly	ADV
fbem-2819	38	63	obtain	obtain	VERB
fbem-2819	38	64	vehicle	vehicle	NOUN
fbem-2819	38	65	information	information	NOUN
fbem-2819	38	66	of	of	ADP
fbem-2819	38	67	different	different	ADJ
fbem-2819	38	68	feature	feature	NOUN
fbem-2819	38	69	vector	vector	NOUN
fbem-2819	38	70	indicators	indicator	NOUN
fbem-2819	38	71	,	,	PUNCT
fbem-2819	38	72	so	so	SCONJ
fbem-2819	38	73	as	as	SCONJ
fbem-2819	38	74	to	to	PART
fbem-2819	38	75	carry	carry	VERB
fbem-2819	38	76	out	out	ADP
fbem-2819	38	77	image	image	NOUN
fbem-2819	38	78	data	datum	NOUN
fbem-2819	38	79	processing	process	VERB
fbem-2819	38	80	through	through	ADP
fbem-2819	38	81	classification	classification	NOUN
fbem-2819	38	82	units	unit	NOUN
fbem-2819	38	83	,	,	PUNCT
fbem-2819	38	84	so	so	SCONJ
fbem-2819	38	85	that	that	SCONJ
fbem-2819	38	86	it	it	PRON
fbem-2819	38	87	can	can	AUX
fbem-2819	38	88	obtain	obtain	VERB
fbem-2819	38	89	image	image	NOUN
fbem-2819	38	90	feature	feature	NOUN
fbem-2819	38	91	information	information	NOUN
fbem-2819	38	92	in	in	ADP
fbem-2819	38	93	time	time	NOUN
fbem-2819	38	94	and	and	CCONJ
fbem-2819	38	95	improve	improve	VERB
fbem-2819	38	96	the	the	DET
fbem-2819	38	97	ability	ability	NOUN
fbem-2819	38	98	of	of	ADP
fbem-2819	38	99	actual	actual	ADJ
fbem-2819	38	100	life	life	NOUN
fbem-2819	38	101	management	management	NOUN
fbem-2819	38	102	and	and	CCONJ
fbem-2819	38	103	control	control	NOUN
fbem-2819	38	104	.	.	PUNCT
fbem-2819	39	1	3	3	X
fbem-2819	39	2	.	.	X
fbem-2819	39	3	design	design	NOUN
fbem-2819	39	4	and	and	CCONJ
fbem-2819	39	5	implementation	implementation	NOUN
fbem-2819	39	6	of	of	ADP
fbem-2819	39	7	computer	computer	NOUN
fbem-2819	39	8	machine	machine	NOUN
fbem-2819	39	9	learning	learn	VERB
fbem-2819	39	10	image	image	NOUN
fbem-2819	39	11	recognition	recognition	NOUN
fbem-2819	39	12	technology	technology	NOUN
fbem-2819	39	13	3.1	3.1	NUM
fbem-2819	39	14	.	.	PUNCT
fbem-2819	39	15	machine	machine	NOUN
fbem-2819	39	16	learning	learn	VERB
fbem-2819	39	17	algorithm	algorithm	PROPN
fbem-2819	39	18	design	design	NOUN
fbem-2819	39	19	with	with	ADP
fbem-2819	39	20	the	the	DET
fbem-2819	39	21	continuous	continuous	ADJ
fbem-2819	39	22	improvement	improvement	NOUN
fbem-2819	39	23	of	of	ADP
fbem-2819	39	24	the	the	DET
fbem-2819	39	25	role	role	NOUN
fbem-2819	39	26	of	of	ADP
fbem-2819	39	27	the	the	DET
fbem-2819	39	28	image	image	NOUN
fbem-2819	39	29	recognition	recognition	NOUN
fbem-2819	39	30	field	field	NOUN
fbem-2819	39	31	,	,	PUNCT
fbem-2819	39	32	the	the	DET
fbem-2819	39	33	rational	rational	ADJ
fbem-2819	39	34	application	application	NOUN
fbem-2819	39	35	of	of	ADP
fbem-2819	39	36	high	high	ADJ
fbem-2819	39	37	-	-	PUNCT
fbem-2819	39	38	level	level	NOUN
fbem-2819	39	39	and	and	CCONJ
fbem-2819	39	40	all	all	ADV
fbem-2819	39	41	-	-	PUNCT
fbem-2819	39	42	around	around	ADV
fbem-2819	39	43	intelligent	intelligent	ADJ
fbem-2819	39	44	machine	machine	NOUN
fbem-2819	39	45	learning	learn	VERB
fbem-2819	39	46	algorithms	algorithm	NOUN
fbem-2819	39	47	is	be	AUX
fbem-2819	39	48	extremely	extremely	ADV
fbem-2819	39	49	critical	critical	ADJ
fbem-2819	39	50	.	.	PUNCT
fbem-2819	40	1	the	the	DET
fbem-2819	40	2	machine	machine	NOUN
fbem-2819	40	3	learning	learn	VERB
fbem-2819	40	4	algorithm	algorithm	NOUN
fbem-2819	40	5	is	be	AUX
fbem-2819	40	6	a	a	DET
fbem-2819	40	7	comprehensive	comprehensive	ADJ
fbem-2819	40	8	distributed	distribute	VERB
fbem-2819	40	9	mathematical	mathematical	ADJ
fbem-2819	40	10	model	model	NOUN
fbem-2819	40	11	algorithm	algorithm	NOUN
fbem-2819	40	12	involving	involve	VERB
fbem-2819	40	13	multi	multi	ADJ
fbem-2819	40	14	-	-	ADJ
fbem-2819	40	15	domain	domain	ADJ
fbem-2819	40	16	interdisciplinary	interdisciplinary	NOUN
fbem-2819	40	17	disciplines	discipline	NOUN
fbem-2819	40	18	(	(	PUNCT
fbem-2819	40	19	probability	probability	NOUN
fbem-2819	40	20	theory	theory	NOUN
fbem-2819	40	21	,	,	PUNCT
fbem-2819	40	22	statistics	statistic	NOUN
fbem-2819	40	23	,	,	PUNCT
fbem-2819	40	24	convex	convex	VERB
fbem-2819	40	25	analysis	analysis	NOUN
fbem-2819	40	26	,	,	PUNCT
fbem-2819	40	27	etc	etc	X
fbem-2819	40	28	.	.	X
fbem-2819	40	29	)	)	PUNCT
fbem-2819	40	30	,	,	PUNCT
fbem-2819	40	31	machine	machine	NOUN
fbem-2819	40	32	learning	learn	VERB
fbem-2819	40	33	extracts	extract	NOUN
fbem-2819	40	34	feature	feature	NOUN
fbem-2819	40	35	vectors	vector	NOUN
fbem-2819	40	36	for	for	ADP
fbem-2819	40	37	image	image	NOUN
fbem-2819	40	38	input	input	NOUN
fbem-2819	40	39	features	feature	VERB
fbem-2819	40	40	through	through	ADP
fbem-2819	40	41	extracted	extract	VERB
fbem-2819	40	42	feature	feature	NOUN
fbem-2819	40	43	subvectors	subvector	NOUN
fbem-2819	40	44	,	,	PUNCT
fbem-2819	40	45	and	and	CCONJ
fbem-2819	40	46	extracts	extract	VERB
fbem-2819	40	47	the	the	DET
fbem-2819	40	48	feature	feature	NOUN
fbem-2819	40	49	vectors	vector	NOUN
fbem-2819	40	50	of	of	ADP
fbem-2819	40	51	the	the	DET
fbem-2819	40	52	target	target	NOUN
fbem-2819	40	53	image	image	NOUN
fbem-2819	40	54	for	for	ADP
fbem-2819	40	55	multiple	multiple	ADJ
fbem-2819	40	56	simulation	simulation	NOUN
fbem-2819	40	57	classification	classification	NOUN
fbem-2819	40	58	and	and	CCONJ
fbem-2819	40	59	recognition	recognition	NOUN
fbem-2819	40	60	prediction	prediction	NOUN
fbem-2819	40	61	,	,	PUNCT
fbem-2819	40	62	and	and	CCONJ
fbem-2819	40	63	on	on	ADP
fbem-2819	40	64	this	this	DET
fbem-2819	40	65	basis	basis	NOUN
fbem-2819	40	66	,	,	PUNCT
fbem-2819	40	67	the	the	DET
fbem-2819	40	68	computer	computer	NOUN
fbem-2819	40	69	network	network	NOUN
fbem-2819	40	70	image	image	NOUN
fbem-2819	40	71	recognition	recognition	NOUN
fbem-2819	40	72	and	and	CCONJ
fbem-2819	40	73	classification	classification	NOUN
fbem-2819	40	74	process	process	NOUN
fbem-2819	40	75	is	be	AUX
fbem-2819	40	76	carried	carry	VERB
fbem-2819	40	77	out	out	ADP
fbem-2819	40	78	through	through	ADP
fbem-2819	40	79	image	image	NOUN
fbem-2819	40	80	digital	digital	ADJ
fbem-2819	40	81	feature	feature	NOUN
fbem-2819	40	82	information	information	NOUN
fbem-2819	40	83	,	,	PUNCT
fbem-2819	40	84	which	which	PRON
fbem-2819	40	85	compresses	compress	VERB
fbem-2819	40	86	and	and	CCONJ
fbem-2819	40	87	reduces	reduce	VERB
fbem-2819	40	88	the	the	DET
fbem-2819	40	89	original	original	ADJ
fbem-2819	40	90	machine	machine	NOUN
fbem-2819	40	91	learning	learning	NOUN
fbem-2819	40	92	model	model	NOUN
fbem-2819	40	93	volume	volume	NOUN
fbem-2819	40	94	of	of	ADP
fbem-2819	40	95	standard	standard	ADJ
fbem-2819	40	96	image	image	NOUN
fbem-2819	40	97	information	information	NOUN
fbem-2819	40	98	data	datum	NOUN
fbem-2819	40	99	as	as	ADV
fbem-2819	40	100	much	much	ADV
fbem-2819	40	101	as	as	ADP
fbem-2819	40	102	possible	possible	ADJ
fbem-2819	40	103	.	.	PUNCT
fbem-2819	41	1	thus	thus	ADV
fbem-2819	41	2	,	,	PUNCT
fbem-2819	41	3	the	the	DET
fbem-2819	41	4	standard	standard	ADJ
fbem-2819	41	5	model	model	NOUN
fbem-2819	41	6	of	of	ADP
fbem-2819	41	7	compressed	compressed	ADJ
fbem-2819	41	8	training	training	NOUN
fbem-2819	41	9	(	(	PUNCT
fbem-2819	41	10	repeated	repeat	VERB
fbem-2819	41	11	testing	testing	NOUN
fbem-2819	41	12	through	through	ADP
fbem-2819	41	13	training	training	NOUN
fbem-2819	41	14	and	and	CCONJ
fbem-2819	41	15	test	test	NOUN
fbem-2819	41	16	sets	set	NOUN
fbem-2819	41	17	)	)	PUNCT
fbem-2819	41	18	is	be	AUX
fbem-2819	41	19	deployed	deploy	VERB
fbem-2819	41	20	in	in	ADP
fbem-2819	41	21	the	the	DET
fbem-2819	41	22	computer	computer	NOUN
fbem-2819	41	23	image	image	NOUN
fbem-2819	41	24	recognition	recognition	NOUN
fbem-2819	41	25	center	center	NOUN
fbem-2819	41	26	to	to	PART
fbem-2819	41	27	achieve	achieve	VERB
fbem-2819	41	28	efficient	efficient	ADJ
fbem-2819	41	29	,	,	PUNCT
fbem-2819	41	30	accurate	accurate	ADJ
fbem-2819	41	31	,	,	PUNCT
fbem-2819	41	32	and	and	CCONJ
fbem-2819	41	33	scientific	scientific	ADJ
fbem-2819	41	34	image	image	NOUN
fbem-2819	41	35	recognition	recognition	NOUN
fbem-2819	41	36	,	,	PUNCT
fbem-2819	41	37	comparison	comparison	NOUN
fbem-2819	41	38	,	,	PUNCT
fbem-2819	41	39	classification	classification	NOUN
fbem-2819	41	40	,	,	PUNCT
fbem-2819	41	41	and	and	CCONJ
fbem-2819	41	42	storage	storage	NOUN
fbem-2819	41	43	.	.	PUNCT
fbem-2819	42	1	in	in	ADP
fbem-2819	42	2	order	order	NOUN
fbem-2819	42	3	to	to	PART
fbem-2819	42	4	further	far	ADV
fbem-2819	42	5	grasp	grasp	VERB
fbem-2819	42	6	the	the	DET
fbem-2819	42	7	core	core	NOUN
fbem-2819	42	8	content	content	NOUN
fbem-2819	42	9	of	of	ADP
fbem-2819	42	10	machine	machine	NOUN
fbem-2819	42	11	learning	learn	VERB
fbem-2819	42	12	algorithm	algorithm	NOUN
fbem-2819	42	13	design	design	NOUN
fbem-2819	42	14	in	in	ADP
fbem-2819	42	15	image	image	NOUN
fbem-2819	42	16	recognition	recognition	NOUN
fbem-2819	42	17	,	,	PUNCT
fbem-2819	42	18	this	this	DET
fbem-2819	42	19	study	study	NOUN
fbem-2819	42	20	first	first	ADV
fbem-2819	42	21	explores	explore	VERB
fbem-2819	42	22	the	the	DET
fbem-2819	42	23	artificial	artificial	ADJ
fbem-2819	42	24	neural	neural	ADJ
fbem-2819	42	25	unit	unit	NOUN
fbem-2819	42	26	of	of	ADP
fbem-2819	42	27	machine	machine	NOUN
fbem-2819	42	28	learning	learning	NOUN
fbem-2819	42	29	and	and	CCONJ
fbem-2819	42	30	finds	find	VERB
fbem-2819	42	31	that	that	SCONJ
fbem-2819	42	32	when	when	SCONJ
fbem-2819	42	33	a	a	DET
fbem-2819	42	34	single	single	ADJ
fbem-2819	42	35	neural	neural	ADJ
fbem-2819	42	36	unit	unit	NOUN
fbem-2819	42	37	accepts	accept	VERB
fbem-2819	42	38	input	input	NOUN
fbem-2819	42	39	information	information	NOUN
fbem-2819	42	40	from	from	ADP
fbem-2819	42	41	other	other	ADJ
fbem-2819	42	42	neural	neural	ADJ
fbem-2819	42	43	units	unit	NOUN
fbem-2819	42	44	in	in	ADP
fbem-2819	42	45	the	the	DET
fbem-2819	42	46	process	process	NOUN
fbem-2819	42	47	of	of	ADP
fbem-2819	42	48	learning	learn	VERB
fbem-2819	42	49	to	to	PART
fbem-2819	42	50	recognize	recognize	VERB
fbem-2819	42	51	feature	feature	NOUN
fbem-2819	42	52	vectors	vector	NOUN
fbem-2819	42	53	and	and	CCONJ
fbem-2819	42	54	outputs	output	VERB
fbem-2819	42	55	information	information	NOUN
fbem-2819	42	56	cross	cross	NOUN
fbem-2819	42	57	-	-	NOUN
fbem-2819	42	58	validation	validation	ADJ
fbem-2819	42	59	,	,	PUNCT
fbem-2819	42	60	analysis	analysis	NOUN
fbem-2819	42	61	and	and	CCONJ
fbem-2819	42	62	classification	classification	NOUN
fbem-2819	42	63	through	through	ADP
fbem-2819	42	64	information	information	NOUN
fbem-2819	42	65	,	,	PUNCT
fbem-2819	42	66	the	the	DET
fbem-2819	42	67	information	information	NOUN
fbem-2819	42	68	features	feature	NOUN
fbem-2819	42	69	are	be	AUX
fbem-2819	42	70	transmitted	transmit	VERB
fbem-2819	42	71	to	to	ADP
fbem-2819	42	72	a	a	DET
fbem-2819	42	73	single	single	ADJ
fbem-2819	42	74	neuron	neuron	NOUN
fbem-2819	42	75	for	for	ADP
fbem-2819	42	76	systematic	systematic	ADJ
fbem-2819	42	77	mathematical	mathematical	ADJ
fbem-2819	42	78	analysis	analysis	NOUN
fbem-2819	42	79	,	,	PUNCT
fbem-2819	42	80	and	and	CCONJ
fbem-2819	42	81	a	a	DET
fbem-2819	42	82	mathematical	mathematical	ADJ
fbem-2819	42	83	model	model	NOUN
fbem-2819	42	84	112	112	NUM
fbem-2819	42	85	system	system	NOUN
fbem-2819	42	86	analysis	analysis	NOUN
fbem-2819	42	87	mode	mode	NOUN
fbem-2819	42	88	of	of	ADP
fbem-2819	42	89	the	the	DET
fbem-2819	42	90	perception	perception	NOUN
fbem-2819	42	91	layer	layer	NOUN
fbem-2819	42	92	,	,	PUNCT
fbem-2819	42	93	output	output	NOUN
fbem-2819	42	94	layer	layer	NOUN
fbem-2819	42	95	and	and	CCONJ
fbem-2819	42	96	hidden	hidden	ADJ
fbem-2819	42	97	layer	layer	NOUN
fbem-2819	42	98	of	of	ADP
fbem-2819	42	99	the	the	DET
fbem-2819	42	100	machine	machine	NOUN
fbem-2819	42	101	learning	learn	VERB
fbem-2819	42	102	algorithm	algorithm	NOUN
fbem-2819	42	103	is	be	AUX
fbem-2819	42	104	formed	form	VERB
fbem-2819	42	105	.	.	PUNCT
fbem-2819	43	1	the	the	DET
fbem-2819	43	2	perceptual	perceptual	PROPN
fbem-2819	43	3	mathematical	mathematical	ADJ
fbem-2819	43	4	model	model	NOUN
fbem-2819	43	5	constructed	construct	VERB
fbem-2819	43	6	by	by	ADP
fbem-2819	43	7	the	the	DET
fbem-2819	43	8	machine	machine	NOUN
fbem-2819	43	9	learning	learn	VERB
fbem-2819	43	10	algorithm	algorithm	NOUN
fbem-2819	43	11	improves	improve	VERB
fbem-2819	43	12	the	the	DET
fbem-2819	43	13	analysis	analysis	NOUN
fbem-2819	43	14	of	of	ADP
fbem-2819	43	15	image	image	NOUN
fbem-2819	43	16	feature	feature	NOUN
fbem-2819	43	17	vectors	vector	NOUN
fbem-2819	43	18	and	and	CCONJ
fbem-2819	43	19	enhances	enhance	VERB
fbem-2819	43	20	the	the	DET
fbem-2819	43	21	image	image	NOUN
fbem-2819	43	22	recognition	recognition	NOUN
fbem-2819	43	23	accuracy	accuracy	NOUN
fbem-2819	43	24	of	of	ADP
fbem-2819	43	25	computer	computer	NOUN
fbem-2819	43	26	networks	network	NOUN
fbem-2819	43	27	.	.	PUNCT
fbem-2819	44	1	3.2	3.2	NUM
fbem-2819	44	2	.	.	PUNCT
fbem-2819	45	1	the	the	DET
fbem-2819	45	2	basic	basic	ADJ
fbem-2819	45	3	flow	flow	NOUN
fbem-2819	45	4	of	of	ADP
fbem-2819	45	5	image	image	NOUN
fbem-2819	45	6	recognition	recognition	NOUN
fbem-2819	45	7	processing	processing	NOUN
fbem-2819	45	8	by	by	ADP
fbem-2819	45	9	machine	machine	NOUN
fbem-2819	45	10	learning	learning	NOUN
fbem-2819	45	11	methods	method	NOUN
fbem-2819	45	12	since	since	SCONJ
fbem-2819	45	13	this	this	DET
fbem-2819	45	14	paper	paper	NOUN
fbem-2819	45	15	is	be	AUX
fbem-2819	45	16	designed	design	VERB
fbem-2819	45	17	to	to	PART
fbem-2819	45	18	build	build	VERB
fbem-2819	45	19	an	an	DET
fbem-2819	45	20	intelligent	intelligent	ADJ
fbem-2819	45	21	computer	computer	NOUN
fbem-2819	45	22	network	network	NOUN
fbem-2819	45	23	image	image	NOUN
fbem-2819	45	24	recognition	recognition	NOUN
fbem-2819	45	25	system	system	NOUN
fbem-2819	45	26	based	base	VERB
fbem-2819	45	27	on	on	ADP
fbem-2819	45	28	machine	machine	NOUN
fbem-2819	45	29	learning	learning	NOUN
fbem-2819	45	30	methods	method	NOUN
fbem-2819	45	31	,	,	PUNCT
fbem-2819	45	32	it	it	PRON
fbem-2819	45	33	is	be	AUX
fbem-2819	45	34	extremely	extremely	ADV
fbem-2819	45	35	important	important	ADJ
fbem-2819	45	36	to	to	PART
fbem-2819	45	37	reasonably	reasonably	ADV
fbem-2819	45	38	select	select	VERB
fbem-2819	45	39	the	the	DET
fbem-2819	45	40	feature	feature	NOUN
fbem-2819	45	41	vector	vector	NOUN
fbem-2819	45	42	of	of	ADP
fbem-2819	45	43	the	the	DET
fbem-2819	45	44	detection	detection	NOUN
fbem-2819	45	45	image	image	NOUN
fbem-2819	45	46	to	to	PART
fbem-2819	45	47	improve	improve	VERB
fbem-2819	45	48	the	the	DET
fbem-2819	45	49	detection	detection	NOUN
fbem-2819	45	50	and	and	CCONJ
fbem-2819	45	51	recognition	recognition	NOUN
fbem-2819	45	52	accuracy	accuracy	NOUN
fbem-2819	45	53	when	when	SCONJ
fbem-2819	45	54	performing	perform	VERB
fbem-2819	45	55	single	single	ADJ
fbem-2819	45	56	image	image	NOUN
fbem-2819	45	57	recognition	recognition	NOUN
fbem-2819	45	58	.	.	PUNCT
fbem-2819	46	1	in	in	ADP
fbem-2819	46	2	this	this	DET
fbem-2819	46	3	paper	paper	NOUN
fbem-2819	46	4	,	,	PUNCT
fbem-2819	46	5	in	in	ADP
fbem-2819	46	6	the	the	DET
fbem-2819	46	7	process	process	NOUN
fbem-2819	46	8	of	of	ADP
fbem-2819	46	9	image	image	NOUN
fbem-2819	46	10	feature	feature	NOUN
fbem-2819	46	11	selection	selection	NOUN
fbem-2819	46	12	,	,	PUNCT
fbem-2819	46	13	the	the	DET
fbem-2819	46	14	correlation	correlation	NOUN
fbem-2819	46	15	is	be	AUX
fbem-2819	46	16	first	first	ADV
fbem-2819	46	17	preliminarily	preliminarily	ADV
fbem-2819	46	18	processed	process	VERB
fbem-2819	46	19	,	,	PUNCT
fbem-2819	46	20	that	that	ADV
fbem-2819	46	21	is	is	ADV
fbem-2819	46	22	,	,	PUNCT
fbem-2819	46	23	the	the	DET
fbem-2819	46	24	single	single	ADJ
fbem-2819	46	25	-	-	PUNCT
fbem-2819	46	26	dimensional	dimensional	ADJ
fbem-2819	46	27	feature	feature	NOUN
fbem-2819	46	28	correlation	correlation	NOUN
fbem-2819	46	29	score	score	NOUN
fbem-2819	46	30	is	be	AUX
fbem-2819	46	31	realized	realize	VERB
fbem-2819	46	32	by	by	ADP
fbem-2819	46	33	the	the	DET
fbem-2819	46	34	selected	select	VERB
fbem-2819	46	35	network	network	NOUN
fbem-2819	46	36	image	image	NOUN
fbem-2819	46	37	feature	feature	NOUN
fbem-2819	46	38	filtering	filtering	NOUN
fbem-2819	46	39	,	,	PUNCT
fbem-2819	46	40	and	and	CCONJ
fbem-2819	46	41	secondly	secondly	ADV
fbem-2819	46	42	,	,	PUNCT
fbem-2819	46	43	the	the	DET
fbem-2819	46	44	threshold	threshold	NOUN
fbem-2819	46	45	filtering[2	filtering[2	SYM
fbem-2819	46	46	]	]	PUNCT
fbem-2819	46	47	analysis	analysis	NOUN
fbem-2819	46	48	and	and	CCONJ
fbem-2819	46	49	processing	processing	NOUN
fbem-2819	46	50	is	be	AUX
fbem-2819	46	51	carried	carry	VERB
fbem-2819	46	52	out	out	ADP
fbem-2819	46	53	to	to	PART
fbem-2819	46	54	remove	remove	VERB
fbem-2819	46	55	the	the	DET
fbem-2819	46	56	poor	poor	ADJ
fbem-2819	46	57	correlation	correlation	NOUN
fbem-2819	46	58	or	or	CCONJ
fbem-2819	46	59	redundant	redundant	ADJ
fbem-2819	46	60	feature	feature	NOUN
fbem-2819	46	61	vectors	vector	NOUN
fbem-2819	46	62	in	in	ADP
fbem-2819	46	63	the	the	DET
fbem-2819	46	64	computer	computer	NOUN
fbem-2819	46	65	network	network	NOUN
fbem-2819	46	66	image	image	NOUN
fbem-2819	46	67	recognition	recognition	NOUN
fbem-2819	46	68	process	process	NOUN
fbem-2819	46	69	.	.	PUNCT
fbem-2819	47	1	finally	finally	ADV
fbem-2819	47	2	,	,	PUNCT
fbem-2819	47	3	after	after	ADP
fbem-2819	47	4	threshold	threshold	NOUN
fbem-2819	47	5	filtering	filtering	NOUN
fbem-2819	47	6	,	,	PUNCT
fbem-2819	47	7	the	the	DET
fbem-2819	47	8	selected	select	VERB
fbem-2819	47	9	singledimensional	singledimensional	ADJ
fbem-2819	47	10	feature	feature	NOUN
fbem-2819	47	11	vector	vector	NOUN
fbem-2819	47	12	is	be	AUX
fbem-2819	47	13	combined	combine	VERB
fbem-2819	47	14	in	in	ADP
fbem-2819	47	15	the	the	DET
fbem-2819	47	16	machine	machine	NOUN
fbem-2819	47	17	learning	learn	VERB
fbem-2819	47	18	algorithm	algorithm	NOUN
fbem-2819	47	19	,	,	PUNCT
fbem-2819	47	20	multiple	multiple	ADJ
fbem-2819	47	21	sets	set	NOUN
fbem-2819	47	22	of	of	ADP
fbem-2819	47	23	features	feature	NOUN
fbem-2819	47	24	are	be	AUX
fbem-2819	47	25	predicted	predict	VERB
fbem-2819	47	26	by	by	ADP
fbem-2819	47	27	empirical	empirical	ADJ
fbem-2819	47	28	model	model	NOUN
fbem-2819	47	29	evaluation	evaluation	NOUN
fbem-2819	47	30	and	and	CCONJ
fbem-2819	47	31	analysis	analysis	NOUN
fbem-2819	47	32	,	,	PUNCT
fbem-2819	47	33	and	and	CCONJ
fbem-2819	47	34	the	the	DET
fbem-2819	47	35	strongly	strongly	ADV
fbem-2819	47	36	correlated	correlate	VERB
fbem-2819	47	37	feature	feature	NOUN
fbem-2819	47	38	combination	combination	NOUN
fbem-2819	47	39	is	be	AUX
fbem-2819	47	40	selected	select	VERB
fbem-2819	47	41	as	as	ADP
fbem-2819	47	42	the	the	DET
fbem-2819	47	43	basic	basic	ADJ
fbem-2819	47	44	feature	feature	NOUN
fbem-2819	47	45	vector	vector	NOUN
fbem-2819	47	46	of	of	ADP
fbem-2819	47	47	the	the	DET
fbem-2819	47	48	image	image	NOUN
fbem-2819	47	49	for	for	ADP
fbem-2819	47	50	identification	identification	NOUN
fbem-2819	47	51	,	,	PUNCT
fbem-2819	47	52	detection	detection	NOUN
fbem-2819	47	53	and	and	CCONJ
fbem-2819	47	54	learning	learn	VERB
fbem-2819	47	55	analysis	analysis	NOUN
fbem-2819	47	56	in	in	ADP
fbem-2819	47	57	this	this	DET
fbem-2819	47	58	paper	paper	NOUN
fbem-2819	47	59	.	.	PUNCT
fbem-2819	48	1	however	however	ADV
fbem-2819	48	2	,	,	PUNCT
fbem-2819	48	3	at	at	ADP
fbem-2819	48	4	present	present	ADJ
fbem-2819	48	5	,	,	PUNCT
fbem-2819	48	6	in	in	ADP
fbem-2819	48	7	the	the	DET
fbem-2819	48	8	process	process	NOUN
fbem-2819	48	9	of	of	ADP
fbem-2819	48	10	machine	machine	NOUN
fbem-2819	48	11	learning	learn	VERB
fbem-2819	48	12	image	image	NOUN
fbem-2819	48	13	recognition	recognition	NOUN
fbem-2819	48	14	,	,	PUNCT
fbem-2819	48	15	there	there	PRON
fbem-2819	48	16	are	be	VERB
fbem-2819	48	17	often	often	ADV
fbem-2819	48	18	problems	problem	NOUN
fbem-2819	48	19	such	such	ADJ
fbem-2819	48	20	as	as	ADP
fbem-2819	48	21	difficulty	difficulty	NOUN
fbem-2819	48	22	in	in	ADP
fbem-2819	48	23	feature	feature	NOUN
fbem-2819	48	24	recognition	recognition	NOUN
fbem-2819	48	25	training	training	NOUN
fbem-2819	48	26	and	and	CCONJ
fbem-2819	48	27	low	low	ADJ
fbem-2819	48	28	accuracy	accuracy	NOUN
fbem-2819	48	29	caused	cause	VERB
fbem-2819	48	30	by	by	ADP
fbem-2819	48	31	high	high	ADJ
fbem-2819	48	32	data	datum	NOUN
fbem-2819	48	33	dimension	dimension	NOUN
fbem-2819	48	34	,	,	PUNCT
fbem-2819	48	35	on	on	ADP
fbem-2819	48	36	this	this	DET
fbem-2819	48	37	basis	basis	NOUN
fbem-2819	48	38	,	,	PUNCT
fbem-2819	48	39	after	after	ADP
fbem-2819	48	40	analyzing	analyze	VERB
fbem-2819	48	41	the	the	DET
fbem-2819	48	42	relevant	relevant	ADJ
fbem-2819	48	43	image	image	NOUN
fbem-2819	48	44	recognition	recognition	NOUN
fbem-2819	48	45	system[3	system[3	ADP
fbem-2819	48	46	]	]	PUNCT
fbem-2819	48	47	through	through	ADP
fbem-2819	48	48	multi	multi	ADJ
fbem-2819	48	49	-	-	NOUN
fbem-2819	48	50	angle	angle	NOUN
fbem-2819	48	51	and	and	CCONJ
fbem-2819	48	52	multitheory	multitheory	NOUN
fbem-2819	48	53	,	,	PUNCT
fbem-2819	48	54	this	this	DET
fbem-2819	48	55	paper	paper	NOUN
fbem-2819	48	56	designs	design	NOUN
fbem-2819	48	57	to	to	PART
fbem-2819	48	58	build	build	VERB
fbem-2819	48	59	a	a	DET
fbem-2819	48	60	mathematical	mathematical	ADJ
fbem-2819	48	61	model	model	NOUN
fbem-2819	48	62	based	base	VERB
fbem-2819	48	63	on	on	ADP
fbem-2819	48	64	principal	principal	ADJ
fbem-2819	48	65	component	component	NOUN
fbem-2819	48	66	analysis	analysis	NOUN
fbem-2819	48	67	to	to	PART
fbem-2819	48	68	realize	realize	VERB
fbem-2819	48	69	feature	feature	NOUN
fbem-2819	48	70	data	datum	NOUN
fbem-2819	48	71	analysis	analysis	NOUN
fbem-2819	48	72	,	,	PUNCT
fbem-2819	48	73	and	and	CCONJ
fbem-2819	48	74	then	then	ADV
fbem-2819	48	75	improve	improve	VERB
fbem-2819	48	76	the	the	DET
fbem-2819	48	77	recognition	recognition	NOUN
fbem-2819	48	78	accuracy	accuracy	NOUN
fbem-2819	48	79	and	and	CCONJ
fbem-2819	48	80	reduce	reduce	VERB
fbem-2819	48	81	the	the	DET
fbem-2819	48	82	dimensional	dimensional	ADJ
fbem-2819	48	83	disaster	disaster	NOUN
fbem-2819	48	84	in	in	ADP
fbem-2819	48	85	machine	machine	NOUN
fbem-2819	48	86	learning	learning	NOUN
fbem-2819	48	87	by	by	ADP
fbem-2819	48	88	image	image	NOUN
fbem-2819	48	89	feature	feature	NOUN
fbem-2819	48	90	dimensionality	dimensionality	NOUN
fbem-2819	48	91	reduction	reduction	NOUN
fbem-2819	48	92	.	.	PUNCT
fbem-2819	49	1	among	among	ADP
fbem-2819	49	2	them	they	PRON
fbem-2819	49	3	,	,	PUNCT
fbem-2819	49	4	dimensionality	dimensionality	NOUN
fbem-2819	49	5	reduction	reduction	NOUN
fbem-2819	49	6	has	have	VERB
fbem-2819	49	7	two	two	NUM
fbem-2819	49	8	basic	basic	ADJ
fbem-2819	49	9	characteristics	characteristic	NOUN
fbem-2819	49	10	:	:	PUNCT
fbem-2819	49	11	(	(	PUNCT
fbem-2819	49	12	1	1	X
fbem-2819	49	13	)	)	PUNCT
fbem-2819	49	14	optimize	optimize	VERB
fbem-2819	49	15	the	the	DET
fbem-2819	49	16	data	data	NOUN
fbem-2819	49	17	structure	structure	NOUN
fbem-2819	49	18	,	,	PUNCT
fbem-2819	49	19	realize	realize	VERB
fbem-2819	49	20	data	data	NOUN
fbem-2819	49	21	visualization	visualization	NOUN
fbem-2819	49	22	,	,	PUNCT
fbem-2819	49	23	and	and	CCONJ
fbem-2819	49	24	facilitate	facilitate	VERB
fbem-2819	49	25	data	datum	NOUN
fbem-2819	49	26	analysis	analysis	NOUN
fbem-2819	49	27	and	and	CCONJ
fbem-2819	49	28	exploration	exploration	NOUN
fbem-2819	49	29	;	;	PUNCT
fbem-2819	49	30	(	(	PUNCT
fbem-2819	49	31	2	2	X
fbem-2819	49	32	)	)	PUNCT
fbem-2819	49	33	optimized	optimize	VERB
fbem-2819	49	34	feature	feature	NOUN
fbem-2819	49	35	training	training	NOUN
fbem-2819	49	36	and	and	CCONJ
fbem-2819	49	37	prediction	prediction	NOUN
fbem-2819	49	38	in	in	ADP
fbem-2819	49	39	the	the	DET
fbem-2819	49	40	process	process	NOUN
fbem-2819	49	41	of	of	ADP
fbem-2819	49	42	machine	machine	NOUN
fbem-2819	49	43	learning	learning	NOUN
fbem-2819	49	44	.	.	PUNCT
fbem-2819	50	1	therefore	therefore	ADV
fbem-2819	50	2	,	,	PUNCT
fbem-2819	50	3	with	with	ADP
fbem-2819	50	4	the	the	DET
fbem-2819	50	5	help	help	NOUN
fbem-2819	50	6	of	of	ADP
fbem-2819	50	7	the	the	DET
fbem-2819	50	8	dimensionality	dimensionality	NOUN
fbem-2819	50	9	reduction	reduction	NOUN
fbem-2819	50	10	feature	feature	NOUN
fbem-2819	50	11	principle	principle	NOUN
fbem-2819	50	12	and	and	CCONJ
fbem-2819	50	13	covariance	covariance	NOUN
fbem-2819	50	14	matrix	matrix	NOUN
fbem-2819	50	15	as	as	ADP
fbem-2819	50	16	the	the	DET
fbem-2819	50	17	basic	basic	ADJ
fbem-2819	50	18	basis	basis	NOUN
fbem-2819	50	19	,	,	PUNCT
fbem-2819	50	20	this	this	DET
fbem-2819	50	21	paper	paper	NOUN
fbem-2819	50	22	decomposes	decompose	VERB
fbem-2819	50	23	the	the	DET
fbem-2819	50	24	features	feature	NOUN
fbem-2819	50	25	of	of	ADP
fbem-2819	50	26	computer	computer	NOUN
fbem-2819	50	27	network	network	NOUN
fbem-2819	50	28	images	image	NOUN
fbem-2819	50	29	,	,	PUNCT
fbem-2819	50	30	realizes	realize	VERB
fbem-2819	50	31	the	the	DET
fbem-2819	50	32	mapping	mapping	NOUN
fbem-2819	50	33	of	of	ADP
fbem-2819	50	34	feature	feature	NOUN
fbem-2819	50	35	data	datum	NOUN
fbem-2819	50	36	in	in	ADP
fbem-2819	50	37	high	high	ADJ
fbem-2819	50	38	-	-	PUNCT
fbem-2819	50	39	dimensional	dimensional	ADJ
fbem-2819	50	40	space	space	NOUN
fbem-2819	50	41	to	to	ADP
fbem-2819	50	42	low	low	ADJ
fbem-2819	50	43	-	-	PUNCT
fbem-2819	50	44	dimensional	dimensional	ADJ
fbem-2819	50	45	space	space	NOUN
fbem-2819	50	46	,	,	PUNCT
fbem-2819	50	47	and	and	CCONJ
fbem-2819	50	48	improves	improve	VERB
fbem-2819	50	49	the	the	DET
fbem-2819	50	50	efficiency	efficiency	NOUN
fbem-2819	50	51	and	and	CCONJ
fbem-2819	50	52	accuracy	accuracy	NOUN
fbem-2819	50	53	of	of	ADP
fbem-2819	50	54	machine	machine	NOUN
fbem-2819	50	55	learning	learning	NOUN
fbem-2819	50	56	.	.	PUNCT
fbem-2819	51	1	3.3	3.3	NUM
fbem-2819	51	2	.	.	PUNCT
fbem-2819	52	1	image	image	NOUN
fbem-2819	52	2	recognition	recognition	NOUN
fbem-2819	52	3	processing	processing	NOUN
fbem-2819	52	4	process	process	NOUN
fbem-2819	52	5	analysis	analysis	NOUN
fbem-2819	52	6	at	at	ADP
fbem-2819	52	7	present	present	ADJ
fbem-2819	52	8	,	,	PUNCT
fbem-2819	52	9	the	the	DET
fbem-2819	52	10	image	image	NOUN
fbem-2819	52	11	recognition	recognition	NOUN
fbem-2819	52	12	system	system	NOUN
fbem-2819	52	13	obtained	obtain	VERB
fbem-2819	52	14	by	by	ADP
fbem-2819	52	15	intelligent	intelligent	ADJ
fbem-2819	52	16	machine	machine	NOUN
fbem-2819	52	17	learning	learning	NOUN
fbem-2819	52	18	,	,	PUNCT
fbem-2819	52	19	according	accord	VERB
fbem-2819	52	20	to	to	ADP
fbem-2819	52	21	the	the	DET
fbem-2819	52	22	information	information	NOUN
fbem-2819	52	23	recognition	recognition	NOUN
fbem-2819	52	24	technology	technology	NOUN
fbem-2819	52	25	and	and	CCONJ
fbem-2819	52	26	processing	processing	NOUN
fbem-2819	52	27	type	type	NOUN
fbem-2819	52	28	,	,	PUNCT
fbem-2819	52	29	is	be	AUX
fbem-2819	52	30	divided	divide	VERB
fbem-2819	52	31	into	into	ADP
fbem-2819	52	32	neural	neural	ADJ
fbem-2819	52	33	network	network	NOUN
fbem-2819	52	34	image	image	NOUN
fbem-2819	52	35	recognition	recognition	NOUN
fbem-2819	52	36	technology	technology	NOUN
fbem-2819	52	37	and	and	CCONJ
fbem-2819	52	38	nonlinear	nonlinear	ADJ
fbem-2819	52	39	dimensionality	dimensionality	NOUN
fbem-2819	52	40	reduction	reduction	NOUN
fbem-2819	52	41	image	image	NOUN
fbem-2819	52	42	recognition	recognition	NOUN
fbem-2819	52	43	technology	technology	NOUN
fbem-2819	52	44	,	,	PUNCT
fbem-2819	52	45	among	among	ADP
fbem-2819	52	46	which	which	PRON
fbem-2819	52	47	nonlinear	nonlinear	ADJ
fbem-2819	52	48	dimensionality	dimensionality	NOUN
fbem-2819	52	49	reduction	reduction	NOUN
fbem-2819	52	50	computer	computer	NOUN
fbem-2819	52	51	image	image	NOUN
fbem-2819	52	52	recognition	recognition	NOUN
fbem-2819	52	53	is	be	AUX
fbem-2819	52	54	mainly	mainly	ADV
fbem-2819	52	55	for	for	ADP
fbem-2819	52	56	the	the	DET
fbem-2819	52	57	exploration	exploration	NOUN
fbem-2819	52	58	and	and	CCONJ
fbem-2819	52	59	analysis	analysis	NOUN
fbem-2819	52	60	of	of	ADP
fbem-2819	52	61	abnormal	abnormal	ADJ
fbem-2819	52	62	high	high	ADJ
fbem-2819	52	63	-	-	PUNCT
fbem-2819	52	64	dimensional	dimensional	ADJ
fbem-2819	52	65	problems	problem	NOUN
fbem-2819	52	66	in	in	ADP
fbem-2819	52	67	digital	digital	ADJ
fbem-2819	52	68	image	image	NOUN
fbem-2819	52	69	recognition	recognition	NOUN
fbem-2819	52	70	,	,	PUNCT
fbem-2819	52	71	such	such	ADJ
fbem-2819	52	72	as	as	ADP
fbem-2819	52	73	when	when	SCONJ
fbem-2819	52	74	high	high	ADJ
fbem-2819	52	75	-	-	PUNCT
fbem-2819	52	76	dimensional	dimensional	ADJ
fbem-2819	52	77	data	datum	NOUN
fbem-2819	52	78	acquisition	acquisition	NOUN
fbem-2819	52	79	is	be	AUX
fbem-2819	52	80	carried	carry	VERB
fbem-2819	52	81	out	out	ADP
fbem-2819	52	82	in	in	ADP
fbem-2819	52	83	low	low	ADJ
fbem-2819	52	84	-	-	PUNCT
fbem-2819	52	85	resolution	resolution	NOUN
fbem-2819	52	86	images	image	NOUN
fbem-2819	52	87	,	,	PUNCT
fbem-2819	52	88	that	that	ADV
fbem-2819	52	89	is	is	ADV
fbem-2819	52	90	,	,	PUNCT
fbem-2819	52	91	highdimensional	highdimensional	ADJ
fbem-2819	52	92	data	datum	NOUN
fbem-2819	52	93	in	in	ADP
fbem-2819	52	94	low	low	ADJ
fbem-2819	52	95	-	-	PUNCT
fbem-2819	52	96	resolution	resolution	NOUN
fbem-2819	52	97	images	image	NOUN
fbem-2819	52	98	of	of	ADP
fbem-2819	52	99	250	250	NUM
fbem-2819	52	100	m×250	m×250	ADJ
fbem-2819	52	101	m	m	NOUN
fbem-2819	52	102	pixels	pixel	NOUN
fbem-2819	52	103	are	be	AUX
fbem-2819	52	104	located	locate	VERB
fbem-2819	52	105	in	in	ADP
fbem-2819	52	106	62	62	NUM
fbem-2819	52	107	500	500	NUM
fbem-2819	52	108	m	m	NOUN
fbem-2819	52	109	space	space	NOUN
fbem-2819	52	110	.	.	PUNCT
fbem-2819	53	1	due	due	ADP
fbem-2819	53	2	to	to	ADP
fbem-2819	53	3	a	a	DET
fbem-2819	53	4	large	large	ADJ
fbem-2819	53	5	amount	amount	NOUN
fbem-2819	53	6	of	of	ADP
fbem-2819	53	7	calculation	calculation	NOUN
fbem-2819	53	8	,	,	PUNCT
fbem-2819	53	9	the	the	DET
fbem-2819	53	10	large	large	ADJ
fbem-2819	53	11	amount	amount	NOUN
fbem-2819	53	12	of	of	ADP
fbem-2819	53	13	data	datum	NOUN
fbem-2819	53	14	storage	storage	NOUN
fbem-2819	53	15	,	,	PUNCT
fbem-2819	53	16	large	large	ADJ
fbem-2819	53	17	data	datum	NOUN
fbem-2819	53	18	raster	raster	NOUN
fbem-2819	53	19	type	type	NOUN
fbem-2819	53	20	,	,	PUNCT
fbem-2819	53	21	and	and	CCONJ
fbem-2819	53	22	image	image	NOUN
fbem-2819	53	23	feature	feature	NOUN
fbem-2819	53	24	elements	element	NOUN
fbem-2819	53	25	in	in	ADP
fbem-2819	53	26	the	the	DET
fbem-2819	53	27	process	process	NOUN
fbem-2819	53	28	of	of	ADP
fbem-2819	53	29	highdimensional	highdimensional	ADJ
fbem-2819	53	30	spatial	spatial	ADJ
fbem-2819	53	31	data	data	NOUN
fbem-2819	53	32	acquisition	acquisition	NOUN
fbem-2819	53	33	,	,	PUNCT
fbem-2819	53	34	it	it	PRON
fbem-2819	53	35	is	be	AUX
fbem-2819	53	36	difficult	difficult	ADJ
fbem-2819	53	37	to	to	PART
fbem-2819	53	38	recognize	recognize	VERB
fbem-2819	53	39	high	high	ADJ
fbem-2819	53	40	-	-	PUNCT
fbem-2819	53	41	dimensional	dimensional	ADJ
fbem-2819	53	42	image	image	NOUN
fbem-2819	53	43	spatial	spatial	ADJ
fbem-2819	53	44	feature	feature	NOUN
fbem-2819	53	45	data	datum	NOUN
fbem-2819	53	46	and	and	CCONJ
fbem-2819	53	47	vector	vector	NOUN
fbem-2819	53	48	recognition	recognition	NOUN
fbem-2819	53	49	coefficients	coefficient	NOUN
fbem-2819	53	50	,	,	PUNCT
fbem-2819	53	51	resulting	result	VERB
fbem-2819	53	52	in	in	ADP
fbem-2819	53	53	low	low	ADJ
fbem-2819	53	54	image	image	NOUN
fbem-2819	53	55	recognition	recognition	NOUN
fbem-2819	53	56	accuracy	accuracy	NOUN
fbem-2819	53	57	,	,	PUNCT
fbem-2819	53	58	so	so	CCONJ
fbem-2819	53	59	nonlinear	nonlinear	ADJ
fbem-2819	53	60	image	image	NOUN
fbem-2819	53	61	recognition	recognition	NOUN
fbem-2819	53	62	technology	technology	NOUN
fbem-2819	53	63	is	be	AUX
fbem-2819	53	64	used	use	VERB
fbem-2819	53	65	to	to	PART
fbem-2819	53	66	reduce	reduce	VERB
fbem-2819	53	67	the	the	DET
fbem-2819	53	68	dimensionality	dimensionality	NOUN
fbem-2819	53	69	of	of	ADP
fbem-2819	53	70	high	high	ADJ
fbem-2819	53	71	-	-	PUNCT
fbem-2819	53	72	dimensional	dimensional	ADJ
fbem-2819	53	73	feature	feature	NOUN
fbem-2819	53	74	values	value	NOUN
fbem-2819	53	75	to	to	PART
fbem-2819	53	76	realize	realize	VERB
fbem-2819	53	77	image	image	NOUN
fbem-2819	53	78	basic	basic	ADJ
fbem-2819	53	79	data	datum	NOUN
fbem-2819	53	80	segmentation	segmentation	NOUN
fbem-2819	53	81	,	,	PUNCT
fbem-2819	53	82	and	and	CCONJ
fbem-2819	53	83	then	then	ADV
fbem-2819	53	84	effectively	effectively	ADV
fbem-2819	53	85	improve	improve	VERB
fbem-2819	53	86	the	the	DET
fbem-2819	53	87	recognition	recognition	NOUN
fbem-2819	53	88	accuracy	accuracy	NOUN
fbem-2819	53	89	and	and	CCONJ
fbem-2819	53	90	efficiency	efficiency	NOUN
fbem-2819	53	91	of	of	ADP
fbem-2819	53	92	images	image	NOUN
fbem-2819	53	93	in	in	ADP
fbem-2819	53	94	the	the	DET
fbem-2819	53	95	processing	processing	NOUN
fbem-2819	53	96	process	process	NOUN
fbem-2819	53	97	[	[	X
fbem-2819	53	98	4	4	NUM
fbem-2819	53	99	]	]	PUNCT
fbem-2819	53	100	.	.	PUNCT
fbem-2819	54	1	secondly	secondly	ADV
fbem-2819	54	2	,	,	PUNCT
fbem-2819	54	3	in	in	ADP
fbem-2819	54	4	the	the	DET
fbem-2819	54	5	process	process	NOUN
fbem-2819	54	6	of	of	ADP
fbem-2819	54	7	computer	computer	NOUN
fbem-2819	54	8	image	image	NOUN
fbem-2819	54	9	recognition	recognition	NOUN
fbem-2819	54	10	,	,	PUNCT
fbem-2819	54	11	due	due	ADP
fbem-2819	54	12	to	to	ADP
fbem-2819	54	13	the	the	DET
fbem-2819	54	14	large	large	ADJ
fbem-2819	54	15	amount	amount	NOUN
fbem-2819	54	16	of	of	ADP
fbem-2819	54	17	image	image	NOUN
fbem-2819	54	18	element	element	NOUN
fbem-2819	54	19	information	information	NOUN
fbem-2819	54	20	generated	generate	VERB
fbem-2819	54	21	by	by	ADP
fbem-2819	54	22	machine	machine	NOUN
fbem-2819	54	23	learning	learning	NOUN
fbem-2819	54	24	algorithms	algorithm	NOUN
fbem-2819	54	25	,	,	PUNCT
fbem-2819	54	26	if	if	SCONJ
fbem-2819	54	27	only	only	ADV
fbem-2819	54	28	the	the	DET
fbem-2819	54	29	successive	successive	ADJ
fbem-2819	54	30	recognition	recognition	NOUN
fbem-2819	54	31	process	process	NOUN
fbem-2819	54	32	is	be	AUX
fbem-2819	54	33	carried	carry	VERB
fbem-2819	54	34	out	out	ADP
fbem-2819	54	35	,	,	PUNCT
fbem-2819	54	36	it	it	PRON
fbem-2819	54	37	will	will	AUX
fbem-2819	54	38	not	not	PART
fbem-2819	54	39	only	only	ADV
fbem-2819	54	40	cause	cause	VERB
fbem-2819	54	41	accuracy	accuracy	NOUN
fbem-2819	54	42	problems	problem	NOUN
fbem-2819	54	43	such	such	ADJ
fbem-2819	54	44	as	as	ADP
fbem-2819	54	45	image	image	NOUN
fbem-2819	54	46	feature	feature	NOUN
fbem-2819	54	47	information	information	NOUN
fbem-2819	54	48	extraction	extraction	NOUN
fbem-2819	54	49	and	and	CCONJ
fbem-2819	54	50	recognition	recognition	NOUN
fbem-2819	54	51	but	but	CCONJ
fbem-2819	54	52	also	also	ADV
fbem-2819	54	53	consume	consume	VERB
fbem-2819	54	54	a	a	DET
fbem-2819	54	55	lot	lot	NOUN
fbem-2819	54	56	of	of	ADP
fbem-2819	54	57	machine	machine	NOUN
fbem-2819	54	58	learning	learn	VERB
fbem-2819	54	59	computer	computer	NOUN
fbem-2819	54	60	capabilities	capability	NOUN
fbem-2819	54	61	.	.	PUNCT
fbem-2819	55	1	the	the	DET
fbem-2819	55	2	preprocessing	preprocessing	NOUN
fbem-2819	55	3	process	process	NOUN
fbem-2819	55	4	is	be	AUX
fbem-2819	55	5	adopted	adopt	VERB
fbem-2819	55	6	,	,	PUNCT
fbem-2819	55	7	firstly	firstly	ADV
fbem-2819	55	8	,	,	PUNCT
fbem-2819	55	9	the	the	DET
fbem-2819	55	10	collected	collect	VERB
fbem-2819	55	11	original	original	ADJ
fbem-2819	55	12	picture	picture	NOUN
fbem-2819	55	13	data	datum	NOUN
fbem-2819	55	14	is	be	AUX
fbem-2819	55	15	grayed	gray	VERB
fbem-2819	55	16	and	and	CCONJ
fbem-2819	55	17	simplified	simplify	VERB
fbem-2819	55	18	in	in	ADP
fbem-2819	55	19	black	black	ADJ
fbem-2819	55	20	and	and	CCONJ
fbem-2819	55	21	white	white	ADJ
fbem-2819	55	22	,	,	PUNCT
fbem-2819	55	23	and	and	CCONJ
fbem-2819	55	24	the	the	DET
fbem-2819	55	25	image	image	NOUN
fbem-2819	55	26	feature	feature	NOUN
fbem-2819	55	27	pixel	pixel	PROPN
fbem-2819	55	28	index	index	NOUN
fbem-2819	55	29	is	be	AUX
fbem-2819	55	30	enhanced	enhance	VERB
fbem-2819	55	31	by	by	ADP
fbem-2819	55	32	graying	gray	VERB
fbem-2819	55	33	and	and	CCONJ
fbem-2819	55	34	black	black	ADJ
fbem-2819	55	35	and	and	CCONJ
fbem-2819	55	36	white	white	ADJ
fbem-2819	55	37	contrast	contrast	NOUN
fbem-2819	55	38	algorithms	algorithm	NOUN
fbem-2819	55	39	,	,	PUNCT
fbem-2819	55	40	and	and	CCONJ
fbem-2819	55	41	secondly	secondly	ADV
fbem-2819	55	42	,	,	PUNCT
fbem-2819	55	43	the	the	DET
fbem-2819	55	44	image	image	NOUN
fbem-2819	55	45	pixel	pixel	NOUN
fbem-2819	55	46	distribution	distribution	NOUN
fbem-2819	55	47	law	law	NOUN
fbem-2819	55	48	is	be	AUX
fbem-2819	55	49	extracted	extract	VERB
fbem-2819	55	50	,	,	PUNCT
fbem-2819	55	51	and	and	CCONJ
fbem-2819	55	52	the	the	DET
fbem-2819	55	53	preprocessing	preprocessing	NOUN
fbem-2819	55	54	process	process	NOUN
fbem-2819	55	55	is	be	AUX
fbem-2819	55	56	carried	carry	VERB
fbem-2819	55	57	out	out	ADP
fbem-2819	55	58	for	for	ADP
fbem-2819	55	59	image	image	NOUN
fbem-2819	55	60	feature	feature	NOUN
fbem-2819	55	61	vector	vector	NOUN
fbem-2819	55	62	extraction	extraction	NOUN
fbem-2819	55	63	to	to	PART
fbem-2819	55	64	improve	improve	VERB
fbem-2819	55	65	the	the	DET
fbem-2819	55	66	matching	matching	NOUN
fbem-2819	55	67	degree	degree	NOUN
fbem-2819	55	68	of	of	ADP
fbem-2819	55	69	feature	feature	NOUN
fbem-2819	55	70	vectors	vector	NOUN
fbem-2819	55	71	in	in	ADP
fbem-2819	55	72	the	the	DET
fbem-2819	55	73	image	image	NOUN
fbem-2819	55	74	recognition	recognition	NOUN
fbem-2819	55	75	process	process	NOUN
fbem-2819	55	76	,	,	PUNCT
fbem-2819	55	77	and	and	CCONJ
fbem-2819	55	78	then	then	ADV
fbem-2819	55	79	the	the	DET
fbem-2819	55	80	division	division	NOUN
fbem-2819	55	81	of	of	ADP
fbem-2819	55	82	normal	normal	ADJ
fbem-2819	55	83	image	image	NOUN
fbem-2819	55	84	information	information	NOUN
fbem-2819	55	85	and	and	CCONJ
fbem-2819	55	86	abnormal	abnormal	ADJ
fbem-2819	55	87	image	image	NOUN
fbem-2819	55	88	information	information	NOUN
fbem-2819	55	89	is	be	AUX
fbem-2819	55	90	improved	improve	VERB
fbem-2819	55	91	through	through	ADP
fbem-2819	55	92	the	the	DET
fbem-2819	55	93	machine	machine	NOUN
fbem-2819	55	94	learning	learn	VERB
fbem-2819	55	95	system	system	NOUN
fbem-2819	55	96	and	and	CCONJ
fbem-2819	55	97	multiple	multiple	ADJ
fbem-2819	55	98	comparisons	comparison	NOUN
fbem-2819	55	99	of	of	ADP
fbem-2819	55	100	crossverification	crossverification	NOUN
fbem-2819	55	101	,	,	PUNCT
fbem-2819	55	102	and	and	CCONJ
fbem-2819	55	103	the	the	DET
fbem-2819	55	104	intelligent	intelligent	ADJ
fbem-2819	55	105	level	level	NOUN
fbem-2819	55	106	of	of	ADP
fbem-2819	55	107	image	image	NOUN
fbem-2819	55	108	recognition	recognition	NOUN
fbem-2819	55	109	is	be	AUX
fbem-2819	55	110	improved	improve	VERB
fbem-2819	55	111	[	[	X
fbem-2819	55	112	5	5	NUM
fbem-2819	55	113	]	]	SYM
fbem-2819	55	114	3.4	3.4	NUM
fbem-2819	55	115	.	.	PUNCT
fbem-2819	56	1	computer	computer	NOUN
fbem-2819	56	2	identification	identification	NOUN
fbem-2819	56	3	system	system	NOUN
fbem-2819	56	4	function	function	NOUN
fbem-2819	56	5	modules	module	NOUN
fbem-2819	56	6	enable	enable	VERB
fbem-2819	56	7	analysis	analysis	NOUN
fbem-2819	56	8	in	in	ADP
fbem-2819	56	9	the	the	DET
fbem-2819	56	10	process	process	NOUN
fbem-2819	56	11	of	of	ADP
fbem-2819	56	12	computer	computer	NOUN
fbem-2819	56	13	image	image	NOUN
fbem-2819	56	14	recognition	recognition	NOUN
fbem-2819	56	15	and	and	CCONJ
fbem-2819	56	16	processing	processing	NOUN
fbem-2819	56	17	,	,	PUNCT
fbem-2819	56	18	the	the	DET
fbem-2819	56	19	functional	functional	ADJ
fbem-2819	56	20	modules	module	NOUN
fbem-2819	56	21	of	of	ADP
fbem-2819	56	22	the	the	DET
fbem-2819	56	23	system	system	NOUN
fbem-2819	56	24	(	(	PUNCT
fbem-2819	56	25	such	such	ADJ
fbem-2819	56	26	as	as	ADP
fbem-2819	56	27	image	image	NOUN
fbem-2819	56	28	transformation	transformation	NOUN
fbem-2819	56	29	,	,	PUNCT
fbem-2819	56	30	boundary	boundary	ADJ
fbem-2819	56	31	removal	removal	NOUN
fbem-2819	56	32	,	,	PUNCT
fbem-2819	56	33	feature	feature	NOUN
fbem-2819	56	34	vector	vector	NOUN
fbem-2819	56	35	screening	screening	NOUN
fbem-2819	56	36	,	,	PUNCT
fbem-2819	56	37	extraction	extraction	NOUN
fbem-2819	56	38	,	,	PUNCT
fbem-2819	56	39	etc	etc	X
fbem-2819	56	40	.	.	X
fbem-2819	56	41	)	)	PUNCT
fbem-2819	56	42	play	play	VERB
fbem-2819	56	43	a	a	DET
fbem-2819	56	44	vital	vital	ADJ
fbem-2819	56	45	role	role	NOUN
fbem-2819	56	46	,	,	PUNCT
fbem-2819	56	47	and	and	CCONJ
fbem-2819	56	48	the	the	DET
fbem-2819	56	49	implementation	implementation	NOUN
fbem-2819	56	50	process	process	NOUN
fbem-2819	56	51	of	of	ADP
fbem-2819	56	52	the	the	DET
fbem-2819	56	53	functional	functional	ADJ
fbem-2819	56	54	modules	module	NOUN
fbem-2819	56	55	in	in	ADP
fbem-2819	56	56	this	this	DET
fbem-2819	56	57	paper	paper	NOUN
fbem-2819	56	58	is	be	AUX
fbem-2819	56	59	as	as	SCONJ
fbem-2819	56	60	follows	follow	VERB
fbem-2819	56	61	:	:	PUNCT
fbem-2819	56	62	(	(	PUNCT
fbem-2819	56	63	1	1	X
fbem-2819	56	64	)	)	PUNCT
fbem-2819	56	65	the	the	DET
fbem-2819	56	66	functional	functional	ADJ
fbem-2819	56	67	module	module	NOUN
fbem-2819	56	68	components	component	NOUN
fbem-2819	56	69	are	be	AUX
fbem-2819	56	70	mainly	mainly	ADV
fbem-2819	56	71	feature	feature	NOUN
fbem-2819	56	72	vector	vector	NOUN
fbem-2819	56	73	screening	screening	NOUN
fbem-2819	56	74	,	,	PUNCT
fbem-2819	56	75	machine	machine	NOUN
fbem-2819	56	76	learning	learning	NOUN
fbem-2819	56	77	model	model	NOUN
fbem-2819	56	78	training	training	NOUN
fbem-2819	56	79	,	,	PUNCT
fbem-2819	56	80	image	image	NOUN
fbem-2819	56	81	display	display	NOUN
fbem-2819	56	82	area	area	NOUN
fbem-2819	56	83	,	,	PUNCT
fbem-2819	56	84	prediction	prediction	NOUN
fbem-2819	56	85	classification	classification	NOUN
fbem-2819	56	86	display	display	NOUN
fbem-2819	56	87	area	area	NOUN
fbem-2819	56	88	,	,	PUNCT
fbem-2819	56	89	prediction	prediction	NOUN
fbem-2819	56	90	result	result	NOUN
fbem-2819	56	91	generation	generation	NOUN
fbem-2819	56	92	,	,	PUNCT
fbem-2819	56	93	etc[6	etc[6	NOUN
fbem-2819	56	94	]	]	PUNCT
fbem-2819	56	95	.	.	PUNCT
fbem-2819	57	1	;	;	PUNCT
fbem-2819	57	2	(	(	PUNCT
fbem-2819	57	3	2	2	X
fbem-2819	57	4	)	)	PUNCT
fbem-2819	57	5	through	through	ADP
fbem-2819	57	6	each	each	DET
fbem-2819	57	7	component	component	NOUN
fbem-2819	57	8	functional	functional	ADJ
fbem-2819	57	9	unit	unit	NOUN
fbem-2819	57	10	,	,	PUNCT
fbem-2819	57	11	the	the	DET
fbem-2819	57	12	original	original	ADJ
fbem-2819	57	13	picture	picture	NOUN
fbem-2819	57	14	resources	resource	NOUN
fbem-2819	57	15	are	be	AUX
fbem-2819	57	16	obtained	obtain	VERB
fbem-2819	57	17	by	by	ADP
fbem-2819	57	18	opening	open	VERB
fbem-2819	57	19	the	the	DET
fbem-2819	57	20	camera	camera	NOUN
fbem-2819	57	21	through	through	ADP
fbem-2819	57	22	the	the	DET
fbem-2819	57	23	hardware	hardware	NOUN
fbem-2819	57	24	device	device	NOUN
fbem-2819	57	25	,	,	PUNCT
fbem-2819	57	26	and	and	CCONJ
fbem-2819	57	27	the	the	DET
fbem-2819	57	28	original	original	ADJ
fbem-2819	57	29	picture	picture	NOUN
fbem-2819	57	30	is	be	AUX
fbem-2819	57	31	reduced	reduce	VERB
fbem-2819	57	32	in	in	ADP
fbem-2819	57	33	dimensionality	dimensionality	NOUN
fbem-2819	57	34	reduction	reduction	NOUN
fbem-2819	57	35	and	and	CCONJ
fbem-2819	57	36	feature	feature	NOUN
fbem-2819	57	37	vector	vector	NOUN
fbem-2819	57	38	selection	selection	NOUN
fbem-2819	57	39	;	;	PUNCT
fbem-2819	57	40	(	(	PUNCT
fbem-2819	57	41	3	3	X
fbem-2819	57	42	)	)	PUNCT
fbem-2819	57	43	import	import	VERB
fbem-2819	57	44	the	the	DET
fbem-2819	57	45	selected	select	VERB
fbem-2819	57	46	computer	computer	NOUN
fbem-2819	57	47	image	image	NOUN
fbem-2819	57	48	feature	feature	NOUN
fbem-2819	57	49	elements	element	NOUN
fbem-2819	57	50	into	into	ADP
fbem-2819	57	51	the	the	DET
fbem-2819	57	52	feature	feature	NOUN
fbem-2819	57	53	vector	vector	NOUN
fbem-2819	57	54	model	model	NOUN
fbem-2819	57	55	based	base	VERB
fbem-2819	57	56	on	on	ADP
fbem-2819	57	57	principal	principal	ADJ
fbem-2819	57	58	component	component	NOUN
fbem-2819	57	59	analysis	analysis	NOUN
fbem-2819	57	60	,	,	PUNCT
fbem-2819	57	61	and	and	CCONJ
fbem-2819	57	62	carry	carry	VERB
fbem-2819	57	63	out	out	ADP
fbem-2819	57	64	feature	feature	NOUN
fbem-2819	57	65	analysis	analysis	NOUN
fbem-2819	57	66	and	and	CCONJ
fbem-2819	57	67	extraction	extraction	NOUN
fbem-2819	57	68	of	of	ADP
fbem-2819	57	69	the	the	DET
fbem-2819	57	70	identified	identify	VERB
fbem-2819	57	71	images	image	NOUN
fbem-2819	57	72	;	;	PUNCT
fbem-2819	57	73	(	(	PUNCT
fbem-2819	57	74	4	4	X
fbem-2819	57	75	)	)	PUNCT
fbem-2819	57	76	after	after	ADP
fbem-2819	57	77	the	the	DET
fbem-2819	57	78	recognition	recognition	NOUN
fbem-2819	57	79	analysis	analysis	NOUN
fbem-2819	57	80	,	,	PUNCT
fbem-2819	57	81	the	the	DET
fbem-2819	57	82	new	new	ADJ
fbem-2819	57	83	picture	picture	NOUN
fbem-2819	57	84	is	be	AUX
fbem-2819	57	85	loaded	load	VERB
fbem-2819	57	86	into	into	ADP
fbem-2819	57	87	the	the	DET
fbem-2819	57	88	pretrained	pretraine	VERB
fbem-2819	57	89	model	model	NOUN
fbem-2819	57	90	for	for	ADP
fbem-2819	57	91	predictive	predictive	ADJ
fbem-2819	57	92	analysis	analysis	NOUN
fbem-2819	57	93	to	to	PART
fbem-2819	57	94	generate	generate	VERB
fbem-2819	57	95	the	the	DET
fbem-2819	57	96	recognition	recognition	NOUN
fbem-2819	57	97	result	result	NOUN
fbem-2819	57	98	of	of	ADP
fbem-2819	57	99	the	the	DET
fbem-2819	57	100	image	image	NOUN
fbem-2819	57	101	;	;	PUNCT
fbem-2819	57	102	(	(	PUNCT
fbem-2819	57	103	5	5	X
fbem-2819	57	104	)	)	PUNCT
fbem-2819	57	105	output	output	NOUN
fbem-2819	57	106	the	the	DET
fbem-2819	57	107	image	image	NOUN
fbem-2819	57	108	feature	feature	NOUN
fbem-2819	57	109	prediction	prediction	NOUN
fbem-2819	57	110	results	result	NOUN
fbem-2819	57	111	of	of	ADP
fbem-2819	57	112	machine	machine	NOUN
fbem-2819	57	113	learning	learn	VERB
fbem-2819	57	114	to	to	ADP
fbem-2819	57	115	a	a	DET
fbem-2819	57	116	new	new	ADJ
fbem-2819	57	117	text	text	NOUN
fbem-2819	57	118	box	box	NOUN
fbem-2819	57	119	,	,	PUNCT
fbem-2819	57	120	and	and	CCONJ
fbem-2819	57	121	perform	perform	VERB
fbem-2819	57	122	the	the	DET
fbem-2819	57	123	process	process	NOUN
fbem-2819	57	124	of	of	ADP
fbem-2819	57	125	size	size	NOUN
fbem-2819	57	126	adjustment	adjustment	NOUN
fbem-2819	57	127	,	,	PUNCT
fbem-2819	57	128	brightness	brightness	NOUN
fbem-2819	57	129	adjustment	adjustment	NOUN
fbem-2819	57	130	,	,	PUNCT
fbem-2819	57	131	strip	strip	NOUN
fbem-2819	57	132	adjustment	adjustment	NOUN
fbem-2819	57	133	,	,	PUNCT
fbem-2819	57	134	texture	texture	ADJ
fbem-2819	57	135	adjustment	adjustment	NOUN
fbem-2819	57	136	and	and	CCONJ
fbem-2819	57	137	resolution	resolution	NOUN
fbem-2819	57	138	adjustment	adjustment	NOUN
fbem-2819	57	139	.	.	PUNCT
fbem-2819	58	1	3.5	3.5	NUM
fbem-2819	58	2	.	.	PUNCT
fbem-2819	58	3	image	image	NOUN
fbem-2819	58	4	recognition	recognition	NOUN
fbem-2819	58	5	construction	construction	NOUN
fbem-2819	58	6	in	in	ADP
fbem-2819	58	7	machine	machine	NOUN
fbem-2819	58	8	learning	learn	VERB
fbem-2819	58	9	mode	mode	NOUN
fbem-2819	58	10	to	to	PART
fbem-2819	58	11	achieve	achieve	VERB
fbem-2819	58	12	analysis	analysis	NOUN
fbem-2819	58	13	since	since	SCONJ
fbem-2819	58	14	the	the	DET
fbem-2819	58	15	image	image	NOUN
fbem-2819	58	16	recognition	recognition	NOUN
fbem-2819	58	17	technology	technology	NOUN
fbem-2819	58	18	of	of	ADP
fbem-2819	58	19	machine	machine	NOUN
fbem-2819	58	20	learning	learn	VERB
fbem-2819	58	21	algorithm	algorithm	NOUN
fbem-2819	58	22	mainly	mainly	ADV
fbem-2819	58	23	interprets	interpret	VERB
fbem-2819	58	24	sensory	sensory	ADJ
fbem-2819	58	25	data	datum	NOUN
fbem-2819	58	26	through	through	ADP
fbem-2819	58	27	the	the	DET
fbem-2819	58	28	digital	digital	ADJ
fbem-2819	58	29	pattern	pattern	NOUN
fbem-2819	58	30	perception	perception	NOUN
fbem-2819	58	31	,	,	PUNCT
fbem-2819	58	32	calibration	calibration	NOUN
fbem-2819	58	33	,	,	PUNCT
fbem-2819	58	34	classification	classification	NOUN
fbem-2819	58	35	,	,	PUNCT
fbem-2819	58	36	input	input	NOUN
fbem-2819	58	37	and	and	CCONJ
fbem-2819	58	38	other	other	ADJ
fbem-2819	58	39	processes	process	NOUN
fbem-2819	58	40	of	of	ADP
fbem-2819	58	41	machine	machine	NOUN
fbem-2819	58	42	models	model	NOUN
fbem-2819	58	43	in	in	ADP
fbem-2819	58	44	the	the	DET
fbem-2819	58	45	extraction	extraction	NOUN
fbem-2819	58	46	of	of	ADP
fbem-2819	58	47	image	image	NOUN
fbem-2819	58	48	pixel	pixel	NOUN
fbem-2819	58	49	feature	feature	NOUN
fbem-2819	58	50	vectors	vector	NOUN
fbem-2819	58	51	,	,	PUNCT
fbem-2819	58	52	and	and	CCONJ
fbem-2819	58	53	converts	convert	VERB
fbem-2819	58	54	images	image	NOUN
fbem-2819	58	55	,	,	PUNCT
fbem-2819	58	56	text	text	NOUN
fbem-2819	58	57	and	and	CCONJ
fbem-2819	58	58	other	other	ADJ
fbem-2819	58	59	data	datum	NOUN
fbem-2819	58	60	types	type	NOUN
fbem-2819	58	61	into	into	ADP
fbem-2819	58	62	vectors	vector	NOUN
fbem-2819	58	63	in	in	ADP
fbem-2819	58	64	the	the	DET
fbem-2819	58	65	current	current	ADJ
fbem-2819	58	66	digital	digital	ADJ
fbem-2819	58	67	recognition	recognition	NOUN
fbem-2819	58	68	mode	mode	NOUN
fbem-2819	58	69	,	,	PUNCT
fbem-2819	58	70	on	on	ADP
fbem-2819	58	71	the	the	DET
fbem-2819	58	72	one	one	NUM
fbem-2819	58	73	hand	hand	NOUN
fbem-2819	58	74	,	,	PUNCT
fbem-2819	58	75	it	it	PRON
fbem-2819	58	76	improves	improve	VERB
fbem-2819	58	77	the	the	DET
fbem-2819	58	78	accuracy	accuracy	NOUN
fbem-2819	58	79	and	and	CCONJ
fbem-2819	58	80	113	113	NUM
fbem-2819	58	81	performance	performance	NOUN
fbem-2819	58	82	of	of	ADP
fbem-2819	58	83	data	datum	NOUN
fbem-2819	58	84	types	type	NOUN
fbem-2819	58	85	in	in	ADP
fbem-2819	58	86	the	the	DET
fbem-2819	58	87	process	process	NOUN
fbem-2819	58	88	of	of	ADP
fbem-2819	58	89	digital	digital	ADJ
fbem-2819	58	90	interpretation	interpretation	NOUN
fbem-2819	58	91	of	of	ADP
fbem-2819	58	92	images	image	NOUN
fbem-2819	58	93	,	,	PUNCT
fbem-2819	58	94	and	and	CCONJ
fbem-2819	58	95	on	on	ADP
fbem-2819	58	96	the	the	DET
fbem-2819	58	97	other	other	ADJ
fbem-2819	58	98	hand	hand	NOUN
fbem-2819	58	99	,	,	PUNCT
fbem-2819	58	100	it	it	PRON
fbem-2819	58	101	realizes	realize	VERB
fbem-2819	58	102	the	the	DET
fbem-2819	58	103	learning	learning	NOUN
fbem-2819	58	104	and	and	CCONJ
fbem-2819	58	105	recognition	recognition	NOUN
fbem-2819	58	106	of	of	ADP
fbem-2819	58	107	complex	complex	ADJ
fbem-2819	58	108	feature	feature	NOUN
fbem-2819	58	109	vectors	vector	NOUN
fbem-2819	58	110	,	,	PUNCT
fbem-2819	58	111	and	and	CCONJ
fbem-2819	58	112	improves	improve	VERB
fbem-2819	58	113	the	the	DET
fbem-2819	58	114	error	error	NOUN
fbem-2819	58	115	ratio	ratio	NOUN
fbem-2819	58	116	of	of	ADP
fbem-2819	58	117	machine	machine	NOUN
fbem-2819	58	118	learning	learning	NOUN
fbem-2819	58	119	methods	method	NOUN
fbem-2819	58	120	[	[	X
fbem-2819	58	121	7	7	NUM
fbem-2819	58	122	]	]	PUNCT
fbem-2819	58	123	.	.	PUNCT
fbem-2819	59	1	for	for	ADP
fbem-2819	59	2	example	example	NOUN
fbem-2819	59	3	,	,	PUNCT
fbem-2819	59	4	in	in	ADP
fbem-2819	59	5	the	the	DET
fbem-2819	59	6	process	process	NOUN
fbem-2819	59	7	of	of	ADP
fbem-2819	59	8	image	image	NOUN
fbem-2819	59	9	recognition	recognition	NOUN
fbem-2819	59	10	construction	construction	NOUN
fbem-2819	59	11	,	,	PUNCT
fbem-2819	59	12	its	its	PRON
fbem-2819	59	13	complex	complex	ADJ
fbem-2819	59	14	feature	feature	NOUN
fbem-2819	59	15	learning	learning	NOUN
fbem-2819	59	16	and	and	CCONJ
fbem-2819	59	17	recognition	recognition	NOUN
fbem-2819	59	18	is	be	AUX
fbem-2819	59	19	as	as	SCONJ
fbem-2819	59	20	follows	follow	VERB
fbem-2819	59	21	:	:	PUNCT
fbem-2819	59	22	(	(	PUNCT
fbem-2819	59	23	1	1	X
fbem-2819	59	24	)	)	PUNCT
fbem-2819	59	25	image	image	NOUN
fbem-2819	59	26	recognition	recognition	NOUN
fbem-2819	59	27	vector	vector	NOUN
fbem-2819	59	28	learning	learn	VERB
fbem-2819	59	29	to	to	PART
fbem-2819	59	30	detect	detect	VERB
fbem-2819	59	31	the	the	DET
fbem-2819	59	32	edge	edge	NOUN
fbem-2819	59	33	;	;	PUNCT
fbem-2819	59	34	(	(	PUNCT
fbem-2819	59	35	2	2	X
fbem-2819	59	36	)	)	PUNCT
fbem-2819	59	37	deep	deep	ADJ
fbem-2819	59	38	image	image	NOUN
fbem-2819	59	39	texture	texture	NOUN
fbem-2819	59	40	feature	feature	NOUN
fbem-2819	59	41	recognition	recognition	NOUN
fbem-2819	59	42	,	,	PUNCT
fbem-2819	59	43	etc	etc	X
fbem-2819	59	44	.	.	X
fbem-2819	59	45	,	,	PUNCT
fbem-2819	59	46	the	the	DET
fbem-2819	59	47	detection	detection	NOUN
fbem-2819	59	48	is	be	AUX
fbem-2819	59	49	gradually	gradually	ADV
fbem-2819	59	50	deepened	deepen	VERB
fbem-2819	59	51	in	in	ADP
fbem-2819	59	52	the	the	DET
fbem-2819	59	53	process	process	NOUN
fbem-2819	59	54	of	of	ADP
fbem-2819	59	55	recognition	recognition	NOUN
fbem-2819	59	56	implementation	implementation	NOUN
fbem-2819	59	57	,	,	PUNCT
fbem-2819	59	58	and	and	CCONJ
fbem-2819	59	59	the	the	DET
fbem-2819	59	60	learning	learning	NOUN
fbem-2819	59	61	recognition	recognition	NOUN
fbem-2819	59	62	construction	construction	NOUN
fbem-2819	59	63	from	from	ADP
fbem-2819	59	64	edge	edge	NOUN
fbem-2819	59	65	recognition	recognition	NOUN
fbem-2819	59	66	to	to	ADP
fbem-2819	59	67	deep	deep	ADJ
fbem-2819	59	68	maximum	maximum	ADJ
fbem-2819	59	69	threshold	threshold	NOUN
fbem-2819	59	70	recognition	recognition	NOUN
fbem-2819	59	71	is	be	AUX
fbem-2819	59	72	formed	form	VERB
fbem-2819	60	1	[	[	X
fbem-2819	60	2	8	8	NUM
fbem-2819	60	3	]	]	PUNCT
fbem-2819	60	4	.	.	PUNCT
fbem-2819	61	1	in	in	ADP
fbem-2819	61	2	summary	summary	NOUN
fbem-2819	61	3	,	,	PUNCT
fbem-2819	61	4	the	the	DET
fbem-2819	61	5	intelligent	intelligent	ADJ
fbem-2819	61	6	image	image	NOUN
fbem-2819	61	7	recognition	recognition	NOUN
fbem-2819	61	8	technology	technology	NOUN
fbem-2819	61	9	based	base	VERB
fbem-2819	61	10	on	on	ADP
fbem-2819	61	11	machine	machine	NOUN
fbem-2819	61	12	learning	learn	VERB
fbem-2819	61	13	algorithm	algorithm	NOUN
fbem-2819	61	14	continuously	continuously	ADV
fbem-2819	61	15	optimizes	optimize	VERB
fbem-2819	61	16	the	the	DET
fbem-2819	61	17	algorithm	algorithm	NOUN
fbem-2819	61	18	model	model	NOUN
fbem-2819	61	19	systematically	systematically	ADV
fbem-2819	61	20	by	by	ADP
fbem-2819	61	21	constructing	construct	VERB
fbem-2819	61	22	the	the	DET
fbem-2819	61	23	feature	feature	NOUN
fbem-2819	61	24	vector	vector	NOUN
fbem-2819	61	25	model	model	NOUN
fbem-2819	61	26	of	of	ADP
fbem-2819	61	27	related	relate	VERB
fbem-2819	61	28	images	image	NOUN
fbem-2819	61	29	and	and	CCONJ
fbem-2819	61	30	the	the	DET
fbem-2819	61	31	multidisciplinary	multidisciplinary	ADJ
fbem-2819	61	32	cross	cross	NOUN
fbem-2819	61	33	-	-	ADJ
fbem-2819	61	34	assistance	assistance	ADJ
fbem-2819	61	35	features	feature	NOUN
fbem-2819	61	36	of	of	ADP
fbem-2819	61	37	the	the	DET
fbem-2819	61	38	machine	machine	NOUN
fbem-2819	61	39	learning	learn	VERB
fbem-2819	61	40	algorithm	algorithm	NOUN
fbem-2819	61	41	,	,	PUNCT
fbem-2819	61	42	and	and	CCONJ
fbem-2819	61	43	at	at	ADP
fbem-2819	61	44	the	the	DET
fbem-2819	61	45	same	same	ADJ
fbem-2819	61	46	time	time	NOUN
fbem-2819	61	47	,	,	PUNCT
fbem-2819	61	48	on	on	ADP
fbem-2819	61	49	the	the	DET
fbem-2819	61	50	basis	basis	NOUN
fbem-2819	61	51	that	that	SCONJ
fbem-2819	61	52	the	the	DET
fbem-2819	61	53	image	image	NOUN
fbem-2819	61	54	data	datum	NOUN
fbem-2819	61	55	meets	meet	VERB
fbem-2819	61	56	the	the	DET
fbem-2819	61	57	storage	storage	NOUN
fbem-2819	61	58	conditions	condition	NOUN
fbem-2819	61	59	,	,	PUNCT
fbem-2819	61	60	the	the	DET
fbem-2819	61	61	model	model	NOUN
fbem-2819	61	62	training	training	NOUN
fbem-2819	61	63	is	be	AUX
fbem-2819	61	64	carried	carry	VERB
fbem-2819	61	65	out	out	ADP
fbem-2819	61	66	through	through	ADP
fbem-2819	61	67	the	the	DET
fbem-2819	61	68	machine	machine	NOUN
fbem-2819	61	69	learning	learn	VERB
fbem-2819	61	70	training	training	NOUN
fbem-2819	61	71	set	set	NOUN
fbem-2819	61	72	and	and	CCONJ
fbem-2819	61	73	the	the	DET
fbem-2819	61	74	test	test	NOUN
fbem-2819	61	75	set	set	NOUN
fbem-2819	61	76	,	,	PUNCT
fbem-2819	61	77	and	and	CCONJ
fbem-2819	61	78	the	the	DET
fbem-2819	61	79	image	image	NOUN
fbem-2819	61	80	recognition	recognition	NOUN
fbem-2819	61	81	feature	feature	NOUN
fbem-2819	61	82	element	element	NOUN
fbem-2819	61	83	database	database	NOUN
fbem-2819	61	84	is	be	AUX
fbem-2819	61	85	continuously	continuously	ADV
fbem-2819	61	86	enriched	enrich	VERB
fbem-2819	61	87	.	.	PUNCT
fbem-2819	62	1	for	for	ADP
fbem-2819	62	2	example	example	NOUN
fbem-2819	62	3	,	,	PUNCT
fbem-2819	62	4	the	the	DET
fbem-2819	62	5	current	current	ADJ
fbem-2819	62	6	detection	detection	NOUN
fbem-2819	62	7	algorithm	algorithm	NOUN
fbem-2819	62	8	is	be	AUX
fbem-2819	62	9	mainly	mainly	ADV
fbem-2819	62	10	based	base	VERB
fbem-2819	62	11	on	on	ADP
fbem-2819	62	12	regional	regional	ADJ
fbem-2819	62	13	convolutional	convolutional	ADJ
fbem-2819	62	14	network	network	NOUN
fbem-2819	62	15	,	,	PUNCT
fbem-2819	62	16	real	real	ADJ
fbem-2819	62	17	-	-	PUNCT
fbem-2819	62	18	time	time	NOUN
fbem-2819	62	19	fast	fast	ADJ
fbem-2819	62	20	target	target	NOUN
fbem-2819	62	21	detection	detection	NOUN
fbem-2819	62	22	,	,	PUNCT
fbem-2819	62	23	object	object	NOUN
fbem-2819	62	24	detection	detection	NOUN
fbem-2819	62	25	,	,	PUNCT
fbem-2819	62	26	etc	etc	X
fbem-2819	62	27	.	.	X
fbem-2819	62	28	,	,	PUNCT
fbem-2819	62	29	in	in	ADP
fbem-2819	62	30	the	the	DET
fbem-2819	62	31	process	process	NOUN
fbem-2819	62	32	of	of	ADP
fbem-2819	62	33	database	database	NOUN
fbem-2819	62	34	extraction	extraction	NOUN
fbem-2819	62	35	feature	feature	NOUN
fbem-2819	62	36	vector	vector	NOUN
fbem-2819	62	37	,	,	PUNCT
fbem-2819	62	38	the	the	DET
fbem-2819	62	39	main	main	ADJ
fbem-2819	62	40	body	body	NOUN
fbem-2819	62	41	is	be	AUX
fbem-2819	62	42	divided	divide	VERB
fbem-2819	62	43	into	into	ADP
fbem-2819	62	44	three	three	NUM
fbem-2819	62	45	parts	part	NOUN
fbem-2819	62	46	:	:	PUNCT
fbem-2819	62	47	extraction	extraction	NOUN
fbem-2819	62	48	layer	layer	NOUN
fbem-2819	62	49	,	,	PUNCT
fbem-2819	62	50	fusion	fusion	NOUN
fbem-2819	62	51	layer	layer	NOUN
fbem-2819	62	52	and	and	CCONJ
fbem-2819	62	53	output	output	NOUN
fbem-2819	62	54	layer	layer	NOUN
fbem-2819	62	55	,	,	PUNCT
fbem-2819	62	56	that	that	ADV
fbem-2819	62	57	is	is	ADV
fbem-2819	62	58	,	,	PUNCT
fbem-2819	62	59	in	in	ADP
fbem-2819	62	60	the	the	DET
fbem-2819	62	61	extraction	extraction	NOUN
fbem-2819	62	62	layer	layer	NOUN
fbem-2819	62	63	,	,	PUNCT
fbem-2819	62	64	the	the	DET
fbem-2819	62	65	feature	feature	NOUN
fbem-2819	62	66	values	value	NOUN
fbem-2819	62	67	of	of	ADP
fbem-2819	62	68	image	image	NOUN
fbem-2819	62	69	pixels	pixel	NOUN
fbem-2819	62	70	in	in	ADP
fbem-2819	62	71	different	different	ADJ
fbem-2819	62	72	dimensions	dimension	NOUN
fbem-2819	62	73	are	be	AUX
fbem-2819	62	74	collected	collect	VERB
fbem-2819	62	75	,	,	PUNCT
fbem-2819	62	76	in	in	ADP
fbem-2819	62	77	the	the	DET
fbem-2819	62	78	fusion	fusion	NOUN
fbem-2819	62	79	layer	layer	NOUN
fbem-2819	62	80	,	,	PUNCT
fbem-2819	62	81	multi	multi	ADJ
fbem-2819	62	82	-	-	ADJ
fbem-2819	62	83	scale	scale	ADJ
fbem-2819	62	84	feature	feature	NOUN
fbem-2819	62	85	maps	map	NOUN
fbem-2819	62	86	are	be	AUX
fbem-2819	62	87	realized	realize	VERB
fbem-2819	62	88	for	for	ADP
fbem-2819	62	89	target	target	NOUN
fbem-2819	62	90	image	image	NOUN
fbem-2819	62	91	detection	detection	NOUN
fbem-2819	62	92	,	,	PUNCT
fbem-2819	62	93	and	and	CCONJ
fbem-2819	62	94	finally	finally	ADV
fbem-2819	62	95	the	the	DET
fbem-2819	62	96	output	output	NOUN
fbem-2819	62	97	of	of	ADP
fbem-2819	62	98	the	the	DET
fbem-2819	62	99	extracted	extract	VERB
fbem-2819	62	100	image	image	NOUN
fbem-2819	62	101	feature	feature	NOUN
fbem-2819	62	102	indicators	indicator	NOUN
fbem-2819	62	103	is	be	AUX
fbem-2819	62	104	realized	realize	VERB
fbem-2819	62	105	through	through	ADP
fbem-2819	62	106	the	the	DET
fbem-2819	62	107	output	output	NOUN
fbem-2819	62	108	layer	layer	NOUN
fbem-2819	62	109	,	,	PUNCT
fbem-2819	62	110	so	so	SCONJ
fbem-2819	62	111	as	as	SCONJ
fbem-2819	62	112	to	to	PART
fbem-2819	62	113	effectively	effectively	ADV
fbem-2819	62	114	realize	realize	VERB
fbem-2819	62	115	the	the	DET
fbem-2819	62	116	accuracy	accuracy	NOUN
fbem-2819	62	117	and	and	CCONJ
fbem-2819	62	118	efficiency	efficiency	NOUN
fbem-2819	62	119	of	of	ADP
fbem-2819	62	120	image	image	NOUN
fbem-2819	62	121	pixel	pixel	PROPN
fbem-2819	62	122	feature	feature	PROPN
fbem-2819	62	123	index	index	NOUN
fbem-2819	62	124	information	information	NOUN
fbem-2819	62	125	recognition	recognition	NOUN
fbem-2819	62	126	.	.	PUNCT
fbem-2819	63	1	4	4	X
fbem-2819	63	2	.	.	X
fbem-2819	63	3	image	image	NOUN
fbem-2819	63	4	recognition	recognition	NOUN
fbem-2819	63	5	system	system	NOUN
fbem-2819	63	6	application	application	NOUN
fbem-2819	63	7	analysis	analysis	NOUN
fbem-2819	63	8	the	the	DET
fbem-2819	63	9	machine	machine	NOUN
fbem-2819	63	10	learning	learn	VERB
fbem-2819	63	11	computer	computer	NOUN
fbem-2819	63	12	image	image	NOUN
fbem-2819	63	13	recognition	recognition	NOUN
fbem-2819	63	14	algorithm	algorithm	NOUN
fbem-2819	63	15	designed	design	VERB
fbem-2819	63	16	and	and	CCONJ
fbem-2819	63	17	constructed	construct	VERB
fbem-2819	63	18	in	in	ADP
fbem-2819	63	19	this	this	DET
fbem-2819	63	20	paper	paper	NOUN
fbem-2819	63	21	has	have	VERB
fbem-2819	63	22	high	high	ADJ
fbem-2819	63	23	recognition	recognition	NOUN
fbem-2819	63	24	accuracy	accuracy	NOUN
fbem-2819	63	25	,	,	PUNCT
fbem-2819	63	26	intelligence	intelligence	NOUN
fbem-2819	63	27	and	and	CCONJ
fbem-2819	63	28	comprehensiveness	comprehensiveness	NOUN
fbem-2819	63	29	,	,	PUNCT
fbem-2819	63	30	and	and	CCONJ
fbem-2819	63	31	has	have	VERB
fbem-2819	63	32	two	two	NUM
fbem-2819	63	33	basic	basic	ADJ
fbem-2819	63	34	characteristics	characteristic	NOUN
fbem-2819	63	35	:	:	PUNCT
fbem-2819	63	36	(	(	PUNCT
fbem-2819	63	37	1	1	X
fbem-2819	63	38	)	)	PUNCT
fbem-2819	63	39	for	for	ADP
fbem-2819	63	40	the	the	DET
fbem-2819	63	41	detailed	detailed	ADJ
fbem-2819	63	42	information	information	NOUN
fbem-2819	63	43	of	of	ADP
fbem-2819	63	44	image	image	NOUN
fbem-2819	63	45	recognition	recognition	NOUN
fbem-2819	63	46	,	,	PUNCT
fbem-2819	63	47	the	the	DET
fbem-2819	63	48	feature	feature	NOUN
fbem-2819	63	49	vector	vector	NOUN
fbem-2819	63	50	is	be	AUX
fbem-2819	63	51	effectively	effectively	ADV
fbem-2819	63	52	combined	combine	VERB
fbem-2819	63	53	with	with	ADP
fbem-2819	63	54	the	the	DET
fbem-2819	63	55	edge	edge	NOUN
fbem-2819	63	56	information	information	NOUN
fbem-2819	63	57	recognition	recognition	NOUN
fbem-2819	63	58	through	through	ADP
fbem-2819	63	59	edge	edge	NOUN
fbem-2819	63	60	information	information	NOUN
fbem-2819	63	61	extraction	extraction	NOUN
fbem-2819	63	62	,	,	PUNCT
fbem-2819	63	63	which	which	PRON
fbem-2819	63	64	improves	improve	VERB
fbem-2819	63	65	the	the	DET
fbem-2819	63	66	recognition	recognition	NOUN
fbem-2819	63	67	accuracy	accuracy	NOUN
fbem-2819	63	68	,	,	PUNCT
fbem-2819	63	69	intelligence	intelligence	NOUN
fbem-2819	63	70	and	and	CCONJ
fbem-2819	63	71	comprehensiveness	comprehensiveness	NOUN
fbem-2819	63	72	in	in	ADP
fbem-2819	63	73	the	the	DET
fbem-2819	63	74	process	process	NOUN
fbem-2819	63	75	of	of	ADP
fbem-2819	63	76	construction	construction	NOUN
fbem-2819	63	77	and	and	CCONJ
fbem-2819	63	78	realization	realization	NOUN
fbem-2819	63	79	.	.	PUNCT
fbem-2819	64	1	(	(	PUNCT
fbem-2819	64	2	2	2	NUM
fbem-2819	64	3	)	)	PUNCT
fbem-2819	64	4	by	by	ADP
fbem-2819	64	5	recognizing	recognize	VERB
fbem-2819	64	6	the	the	DET
fbem-2819	64	7	basic	basic	ADJ
fbem-2819	64	8	information	information	NOUN
fbem-2819	64	9	of	of	ADP
fbem-2819	64	10	the	the	DET
fbem-2819	64	11	image	image	NOUN
fbem-2819	64	12	(	(	PUNCT
fbem-2819	64	13	color	color	NOUN
fbem-2819	64	14	,	,	PUNCT
fbem-2819	64	15	edge	edge	NOUN
fbem-2819	64	16	information	information	NOUN
fbem-2819	64	17	,	,	PUNCT
fbem-2819	64	18	image	image	NOUN
fbem-2819	64	19	texture	texture	NOUN
fbem-2819	64	20	features	feature	NOUN
fbem-2819	64	21	,	,	PUNCT
fbem-2819	64	22	etc	etc	X
fbem-2819	64	23	.	.	X
fbem-2819	64	24	)	)	PUNCT
fbem-2819	65	1	as	as	SCONJ
fbem-2819	65	2	the	the	DET
fbem-2819	65	3	recognition	recognition	NOUN
fbem-2819	65	4	target	target	NOUN
fbem-2819	65	5	localization	localization	NOUN
fbem-2819	65	6	factor	factor	NOUN
fbem-2819	65	7	,	,	PUNCT
fbem-2819	65	8	high	high	ADJ
fbem-2819	65	9	-	-	PUNCT
fbem-2819	65	10	precision	precision	NOUN
fbem-2819	65	11	recognition	recognition	NOUN
fbem-2819	65	12	for	for	ADP
fbem-2819	65	13	a	a	DET
fbem-2819	65	14	single	single	ADJ
fbem-2819	65	15	image	image	NOUN
fbem-2819	65	16	area	area	NOUN
fbem-2819	65	17	is	be	AUX
fbem-2819	65	18	realized	realize	VERB
fbem-2819	65	19	in	in	ADP
fbem-2819	65	20	the	the	DET
fbem-2819	65	21	construction	construction	NOUN
fbem-2819	65	22	and	and	CCONJ
fbem-2819	65	23	application	application	NOUN
fbem-2819	65	24	process	process	NOUN
fbem-2819	65	25	[	[	X
fbem-2819	65	26	9	9	NUM
fbem-2819	65	27	]	]	PUNCT
fbem-2819	65	28	.	.	PUNCT
fbem-2819	66	1	therefore	therefore	ADV
fbem-2819	66	2	,	,	PUNCT
fbem-2819	66	3	in	in	ADP
fbem-2819	66	4	practical	practical	ADJ
fbem-2819	66	5	applications	application	NOUN
fbem-2819	66	6	,	,	PUNCT
fbem-2819	66	7	it	it	PRON
fbem-2819	66	8	is	be	AUX
fbem-2819	66	9	mostly	mostly	ADV
fbem-2819	66	10	suitable	suitable	ADJ
fbem-2819	66	11	for	for	ADP
fbem-2819	66	12	smart	smart	ADJ
fbem-2819	66	13	home	home	NOUN
fbem-2819	66	14	fields	field	NOUN
fbem-2819	66	15	,	,	PUNCT
fbem-2819	66	16	financial	financial	ADJ
fbem-2819	66	17	fields	field	NOUN
fbem-2819	66	18	,	,	PUNCT
fbem-2819	66	19	traffic	traffic	NOUN
fbem-2819	66	20	safety	safety	NOUN
fbem-2819	66	21	fields	field	NOUN
fbem-2819	66	22	,	,	PUNCT
fbem-2819	66	23	security	security	NOUN
fbem-2819	66	24	and	and	CCONJ
fbem-2819	66	25	intelligent	intelligent	ADJ
fbem-2819	66	26	medical	medical	ADJ
fbem-2819	66	27	fields	field	NOUN
fbem-2819	66	28	.	.	PUNCT
fbem-2819	67	1	for	for	ADP
fbem-2819	67	2	example	example	NOUN
fbem-2819	67	3	,	,	PUNCT
fbem-2819	67	4	in	in	ADP
fbem-2819	67	5	the	the	DET
fbem-2819	67	6	process	process	NOUN
fbem-2819	67	7	of	of	ADP
fbem-2819	67	8	smart	smart	ADJ
fbem-2819	67	9	home	home	NOUN
fbem-2819	67	10	,	,	PUNCT
fbem-2819	67	11	high	high	ADJ
fbem-2819	67	12	-	-	PUNCT
fbem-2819	67	13	definition	definition	NOUN
fbem-2819	67	14	cameras	camera	NOUN
fbem-2819	67	15	are	be	AUX
fbem-2819	67	16	used	use	VERB
fbem-2819	67	17	to	to	PART
fbem-2819	67	18	obtain	obtain	VERB
fbem-2819	67	19	image	image	NOUN
fbem-2819	67	20	content	content	NOUN
fbem-2819	67	21	filling	filling	NOUN
fbem-2819	67	22	and	and	CCONJ
fbem-2819	67	23	recognition	recognition	NOUN
fbem-2819	67	24	,	,	PUNCT
fbem-2819	67	25	and	and	CCONJ
fbem-2819	67	26	then	then	ADV
fbem-2819	67	27	realize	realize	VERB
fbem-2819	67	28	early	early	ADJ
fbem-2819	67	29	warning	warning	NOUN
fbem-2819	67	30	display	display	NOUN
fbem-2819	67	31	,	,	PUNCT
fbem-2819	67	32	if	if	SCONJ
fbem-2819	67	33	suspicious	suspicious	ADJ
fbem-2819	67	34	persons	person	NOUN
fbem-2819	67	35	are	be	AUX
fbem-2819	67	36	detected	detect	VERB
fbem-2819	67	37	and	and	CCONJ
fbem-2819	67	38	identified	identify	VERB
fbem-2819	67	39	in	in	ADP
fbem-2819	67	40	intelligent	intelligent	ADJ
fbem-2819	67	41	access	access	NOUN
fbem-2819	67	42	control	control	NOUN
fbem-2819	67	43	,	,	PUNCT
fbem-2819	67	44	information	information	NOUN
fbem-2819	67	45	can	can	AUX
fbem-2819	67	46	be	be	AUX
fbem-2819	67	47	quickly	quickly	ADV
fbem-2819	67	48	fed	feed	VERB
fbem-2819	67	49	back	back	ADV
fbem-2819	67	50	to	to	ADP
fbem-2819	67	51	the	the	DET
fbem-2819	67	52	user	user	NOUN
fbem-2819	67	53	management	management	PROPN
fbem-2819	67	54	office	office	NOUN
fbem-2819	67	55	,	,	PUNCT
fbem-2819	67	56	early	early	ADJ
fbem-2819	67	57	warning	warning	NOUN
fbem-2819	67	58	voice	voice	NOUN
fbem-2819	67	59	prompts	prompt	NOUN
fbem-2819	67	60	can	can	AUX
fbem-2819	67	61	be	be	AUX
fbem-2819	67	62	realized	realize	VERB
fbem-2819	67	63	,	,	PUNCT
fbem-2819	67	64	and	and	CCONJ
fbem-2819	67	65	security	security	NOUN
fbem-2819	67	66	applications	application	NOUN
fbem-2819	67	67	can	can	AUX
fbem-2819	67	68	be	be	AUX
fbem-2819	67	69	realized	realize	VERB
fbem-2819	67	70	through	through	ADP
fbem-2819	67	71	intelligent	intelligent	ADJ
fbem-2819	67	72	image	image	NOUN
fbem-2819	67	73	recognition	recognition	NOUN
fbem-2819	67	74	.	.	PUNCT
fbem-2819	68	1	5	5	X
fbem-2819	68	2	.	.	X
fbem-2819	68	3	conclusion	conclusion	NOUN
fbem-2819	68	4	the	the	DET
fbem-2819	68	5	computer	computer	NOUN
fbem-2819	68	6	network	network	NOUN
fbem-2819	68	7	image	image	NOUN
fbem-2819	68	8	system	system	NOUN
fbem-2819	68	9	is	be	AUX
fbem-2819	68	10	constructed	construct	VERB
fbem-2819	68	11	through	through	ADP
fbem-2819	68	12	the	the	DET
fbem-2819	68	13	cross	cross	NOUN
fbem-2819	68	14	-	-	NOUN
fbem-2819	68	15	verification	verification	NOUN
fbem-2819	68	16	of	of	ADP
fbem-2819	68	17	machine	machine	NOUN
fbem-2819	68	18	learning	learning	NOUN
fbem-2819	68	19	algorithms	algorithm	NOUN
fbem-2819	68	20	,	,	PUNCT
fbem-2819	68	21	the	the	DET
fbem-2819	68	22	repeatability	repeatability	NOUN
fbem-2819	68	23	test	test	NOUN
fbem-2819	68	24	recognition	recognition	NOUN
fbem-2819	68	25	characteristics	characteristic	NOUN
fbem-2819	68	26	of	of	ADP
fbem-2819	68	27	the	the	DET
fbem-2819	68	28	test	test	NOUN
fbem-2819	68	29	set	set	VERB
fbem-2819	68	30	and	and	CCONJ
fbem-2819	68	31	the	the	DET
fbem-2819	68	32	training	training	NOUN
fbem-2819	68	33	set	set	NOUN
fbem-2819	68	34	,	,	PUNCT
fbem-2819	68	35	which	which	PRON
fbem-2819	68	36	improves	improve	VERB
fbem-2819	68	37	the	the	DET
fbem-2819	68	38	intelligence	intelligence	NOUN
fbem-2819	68	39	,	,	PUNCT
fbem-2819	68	40	efficiency	efficiency	NOUN
fbem-2819	68	41	,	,	PUNCT
fbem-2819	68	42	safety	safety	NOUN
fbem-2819	68	43	,	,	PUNCT
fbem-2819	68	44	and	and	CCONJ
fbem-2819	68	45	accuracy	accuracy	NOUN
fbem-2819	68	46	of	of	ADP
fbem-2819	68	47	computer	computer	NOUN
fbem-2819	68	48	image	image	NOUN
fbem-2819	68	49	recognition	recognition	NOUN
fbem-2819	68	50	,	,	PUNCT
fbem-2819	68	51	and	and	CCONJ
fbem-2819	68	52	at	at	ADP
fbem-2819	68	53	the	the	DET
fbem-2819	68	54	same	same	ADJ
fbem-2819	68	55	time	time	NOUN
fbem-2819	68	56	,	,	PUNCT
fbem-2819	68	57	the	the	DET
fbem-2819	68	58	machine	machine	NOUN
fbem-2819	68	59	learning	learning	NOUN
fbem-2819	68	60	method	method	NOUN
fbem-2819	68	61	realizes	realize	VERB
fbem-2819	68	62	the	the	DET
fbem-2819	68	63	recognition	recognition	NOUN
fbem-2819	68	64	and	and	CCONJ
fbem-2819	68	65	analysis	analysis	NOUN
fbem-2819	68	66	of	of	ADP
fbem-2819	68	67	multi	multi	ADJ
fbem-2819	68	68	-	-	ADJ
fbem-2819	68	69	image	image	ADJ
fbem-2819	68	70	feature	feature	NOUN
fbem-2819	68	71	vectors	vector	NOUN
fbem-2819	68	72	,	,	PUNCT
fbem-2819	68	73	colors	color	NOUN
fbem-2819	68	74	,	,	PUNCT
fbem-2819	68	75	edge	edge	NOUN
fbem-2819	68	76	information	information	NOUN
fbem-2819	68	77	,	,	PUNCT
fbem-2819	68	78	and	and	CCONJ
fbem-2819	68	79	texture	texture	NOUN
fbem-2819	68	80	features	feature	NOUN
fbem-2819	68	81	,	,	PUNCT
fbem-2819	68	82	making	make	VERB
fbem-2819	68	83	the	the	DET
fbem-2819	68	84	role	role	NOUN
fbem-2819	68	85	of	of	ADP
fbem-2819	68	86	this	this	DET
fbem-2819	68	87	technology	technology	NOUN
fbem-2819	68	88	in	in	ADP
fbem-2819	68	89	multi	multi	ADJ
fbem-2819	68	90	-	-	ADJ
fbem-2819	68	91	field	field	ADJ
fbem-2819	68	92	applications	application	NOUN
fbem-2819	68	93	extremely	extremely	ADV
fbem-2819	68	94	critical	critical	ADJ
fbem-2819	68	95	.	.	PUNCT
fbem-2819	69	1	references	reference	NOUN
fbem-2819	69	2	[	[	X
fbem-2819	69	3	1	1	NUM
fbem-2819	69	4	]	]	PUNCT
fbem-2819	69	5	shen	shen	NOUN
fbem-2819	69	6	dexing	dexing	NOUN
fbem-2819	69	7	.	.	PUNCT
fbem-2819	70	1	research	research	NOUN
fbem-2819	70	2	on	on	ADP
fbem-2819	70	3	image	image	NOUN
fbem-2819	70	4	representation	representation	NOUN
fbem-2819	70	5	and	and	CCONJ
fbem-2819	70	6	recognition	recognition	NOUN
fbem-2819	70	7	method	method	NOUN
fbem-2819	70	8	using	use	VERB
fbem-2819	70	9	base	base	NOUN
fbem-2819	70	10	structure[d	structure[d	NOUN
fbem-2819	70	11	]	]	PUNCT
fbem-2819	70	12	.	.	PUNCT
fbem-2819	71	1	chongqing	chongqe	VERB
fbem-2819	71	2	:	:	PUNCT
fbem-2819	71	3	chongqing	chongqing	PROPN
fbem-2819	71	4	jiaotong	jiaotong	PROPN
fbem-2819	71	5	university	university	PROPN
fbem-2819	71	6	,	,	PUNCT
fbem-2819	71	7	2020	2020	NUM
fbem-2819	71	8	.	.	PUNCT
fbem-2819	72	1	[	[	X
fbem-2819	72	2	2	2	NUM
fbem-2819	72	3	]	]	X
fbem-2819	72	4	gao	gao	PROPN
fbem-2819	72	5	yuanyuan	yuanyuan	PROPN
fbem-2819	72	6	.	.	PUNCT
fbem-2819	73	1	research	research	NOUN
fbem-2819	73	2	and	and	CCONJ
fbem-2819	73	3	implementation	implementation	NOUN
fbem-2819	73	4	of	of	ADP
fbem-2819	73	5	mobile	mobile	ADJ
fbem-2819	73	6	terminal	terminal	ADJ
fbem-2819	73	7	image	image	NOUN
fbem-2819	73	8	recognition	recognition	NOUN
fbem-2819	73	9	based	base	VERB
fbem-2819	73	10	on	on	ADP
fbem-2819	73	11	deep	deep	ADJ
fbem-2819	73	12	learning	learning	NOUN
fbem-2819	74	1	[	[	X
fbem-2819	74	2	d	d	X
fbem-2819	74	3	]	]	X
fbem-2819	74	4	.	.	PUNCT
fbem-2819	75	1	yinchuan	yinchuan	PROPN
fbem-2819	75	2	:	:	PUNCT
fbem-2819	75	3	ningxia	ningxia	PROPN
fbem-2819	75	4	university	university	PROPN
fbem-2819	75	5	,	,	PUNCT
fbem-2819	75	6	2021	2021	NUM
fbem-2819	75	7	.	.	PUNCT
fbem-2819	76	1	[	[	X
fbem-2819	76	2	3	3	NUM
fbem-2819	76	3	]	]	X
fbem-2819	76	4	cai	cai	PROPN
fbem-2819	76	5	chunhua	chunhua	PROPN
fbem-2819	76	6	,	,	PUNCT
fbem-2819	76	7	wang	wang	PROPN
fbem-2819	76	8	feng	feng	PROPN
fbem-2819	76	9	.	.	PUNCT
fbem-2819	77	1	research	research	NOUN
fbem-2819	77	2	on	on	ADP
fbem-2819	77	3	image	image	NOUN
fbem-2819	77	4	recognition	recognition	NOUN
fbem-2819	77	5	based	base	VERB
fbem-2819	77	6	on	on	ADP
fbem-2819	77	7	deep	deep	ADJ
fbem-2819	77	8	learning[j	learning[j	NOUN
fbem-2819	77	9	]	]	PUNCT
fbem-2819	77	10	.	.	PUNCT
fbem-2819	78	1	electronic	electronic	ADJ
fbem-2819	78	2	quality	quality	NOUN
fbem-2819	78	3	,	,	PUNCT
fbem-2819	78	4	2018(9	2018(9	NUM
fbem-2819	78	5	):	):	PUNCT
fbem-2819	78	6	7	7	NUM
fbem-2819	78	7	-	-	SYM
fbem-2819	78	8	9	9	NUM
fbem-2819	78	9	+	+	NOUN
fbem-2819	78	10	12	12	NUM
fbem-2819	78	11	.	.	PUNCT
fbem-2819	79	1	[	[	X
fbem-2819	79	2	4	4	NUM
fbem-2819	79	3	]	]	X
fbem-2819	79	4	cheng	cheng	PROPN
fbem-2819	79	5	yiyao	yiyao	PROPN
fbem-2819	79	6	.	.	PUNCT
fbem-2819	80	1	research	research	NOUN
fbem-2819	80	2	on	on	ADP
fbem-2819	80	3	image	image	NOUN
fbem-2819	80	4	recognition	recognition	NOUN
fbem-2819	80	5	method	method	NOUN
fbem-2819	80	6	of	of	ADP
fbem-2819	80	7	video	video	NOUN
fbem-2819	80	8	logging	log	VERB
fbem-2819	80	9	casing	casing	NOUN
fbem-2819	80	10	damage	damage	NOUN
fbem-2819	80	11	based	base	VERB
fbem-2819	80	12	on	on	ADP
fbem-2819	80	13	machine	machine	NOUN
fbem-2819	80	14	learning[d	learning[d	PROPN
fbem-2819	80	15	]	]	PUNCT
fbem-2819	80	16	.	.	PUNCT
fbem-2819	81	1	xi'an	xi'an	PROPN
fbem-2819	81	2	:	:	PUNCT
fbem-2819	82	1	xi'an	xi'an	PROPN
fbem-2819	82	2	shiyou	shiyou	PROPN
fbem-2819	82	3	university	university	PROPN
fbem-2819	82	4	,	,	PUNCT
fbem-2819	82	5	2020	2020	NUM
fbem-2819	82	6	.	.	PUNCT
fbem-2819	83	1	[	[	X
fbem-2819	83	2	5	5	X
fbem-2819	83	3	]	]	X
fbem-2819	83	4	chang	chang	PROPN
fbem-2819	83	5	jiaxin	jiaxin	PROPN
fbem-2819	83	6	.	.	PUNCT
fbem-2819	84	1	design	design	NOUN
fbem-2819	84	2	of	of	ADP
fbem-2819	84	3	augmented	augment	VERB
fbem-2819	84	4	reality	reality	NOUN
fbem-2819	84	5	system	system	NOUN
fbem-2819	84	6	based	base	VERB
fbem-2819	84	7	on	on	ADP
fbem-2819	84	8	image	image	NOUN
fbem-2819	84	9	recognition	recognition	NOUN
fbem-2819	84	10	technology[d	technology[d	PROPN
fbem-2819	84	11	]	]	PUNCT
fbem-2819	84	12	.	.	PUNCT
fbem-2819	85	1	xi'an	xi'an	PROPN
fbem-2819	85	2	:	:	PUNCT
fbem-2819	86	1	xidian	xidian	PROPN
fbem-2819	86	2	university,2021	university,2021	NOUN
fbem-2819	86	3	.	.	PUNCT
fbem-2819	87	1	[	[	X
fbem-2819	87	2	6	6	NUM
fbem-2819	87	3	]	]	X
fbem-2819	87	4	guo	guo	PROPN
fbem-2819	87	5	song	song	NOUN
fbem-2819	87	6	,	,	PUNCT
fbem-2819	87	7	fan	fan	NOUN
fbem-2819	87	8	cunqun	cunqun	PROPN
fbem-2819	87	9	.	.	PUNCT
fbem-2819	88	1	image	image	NOUN
fbem-2819	88	2	recognition	recognition	NOUN
fbem-2819	88	3	method	method	NOUN
fbem-2819	88	4	based	base	VERB
fbem-2819	88	5	on	on	ADP
fbem-2819	88	6	importance	importance	NOUN
fbem-2819	88	7	theory	theory	NOUN
fbem-2819	88	8	[	[	X
fbem-2819	88	9	j	j	X
fbem-2819	88	10	]	]	X
fbem-2819	88	11	.	.	PUNCT
fbem-2819	89	1	computer	computer	NOUN
fbem-2819	89	2	integrated	integrate	VERB
fbem-2819	89	3	manufacturing	manufacturing	NOUN
fbem-2819	89	4	systems,2021,27(9):2736	systems,2021,27(9):2736	PROPN
fbem-2819	89	5	-	-	PUNCT
fbem-2819	89	6	2740	2740	NUM
fbem-2819	89	7	.	.	PUNCT
fbem-2819	90	1	[	[	X
fbem-2819	90	2	7	7	X
fbem-2819	90	3	]	]	X
fbem-2819	90	4	gao	gao	PROPN
fbem-2819	90	5	zhibang	zhibang	PROPN
fbem-2819	90	6	,	,	PUNCT
fbem-2819	90	7	liu	liu	PROPN
fbem-2819	90	8	yi'an	yi'an	PROPN
fbem-2819	90	9	.	.	PUNCT
fbem-2819	91	1	sar	sar	PROPN
fbem-2819	91	2	image	image	PROPN
fbem-2819	91	3	recognition	recognition	NOUN
fbem-2819	91	4	based	base	VERB
fbem-2819	91	5	on	on	ADP
fbem-2819	91	6	nsct	nsct	PROPN
fbem-2819	91	7	and	and	CCONJ
fbem-2819	91	8	support	support	VERB
fbem-2819	91	9	vector	vector	NOUN
fbem-2819	91	10	machine	machine	NOUN
fbem-2819	92	1	[	[	X
fbem-2819	92	2	j	j	X
fbem-2819	92	3	]	]	X
fbem-2819	92	4	.	.	PUNCT
fbem-2819	93	1	computer	computer	NOUN
fbem-2819	93	2	measurement	measurement	NOUN
fbem-2819	93	3	and	and	CCONJ
fbem-2819	93	4	control	control	NOUN
fbem-2819	93	5	,	,	PUNCT
fbem-2819	93	6	2019,27(6):218	2019,27(6):218	NOUN
fbem-2819	93	7	-	-	SYM
fbem-2819	93	8	221	221	NUM
fbem-2819	93	9	+	+	NOUN
fbem-2819	93	10	246	246	NUM
fbem-2819	93	11	.	.	PUNCT
fbem-2819	94	1	[	[	X
fbem-2819	94	2	8	8	NUM
fbem-2819	94	3	]	]	X
fbem-2819	94	4	guo	guo	X
fbem-2819	94	5	wenjing	wenjing	NOUN
fbem-2819	94	6	,	,	PUNCT
fbem-2819	94	7	tian	tian	PROPN
fbem-2819	94	8	xing	xing	PROPN
fbem-2819	94	9	.	.	PUNCT
fbem-2819	95	1	image	image	NOUN
fbem-2819	95	2	recognition	recognition	NOUN
fbem-2819	95	3	of	of	ADP
fbem-2819	95	4	optimized	optimize	VERB
fbem-2819	95	5	support	support	NOUN
fbem-2819	95	6	vector	vector	NOUN
fbem-2819	95	7	machine	machine	NOUN
fbem-2819	95	8	based	base	VERB
fbem-2819	95	9	on	on	ADP
fbem-2819	95	10	genetic	genetic	ADJ
fbem-2819	95	11	algorithm[j	algorithm[j	PROPN
fbem-2819	95	12	]	]	PUNCT
fbem-2819	95	13	.	.	PUNCT
fbem-2819	96	1	electronic	electronic	ADJ
fbem-2819	96	2	technology	technology	NOUN
fbem-2819	96	3	and	and	CCONJ
fbem-2819	96	4	software	software	NOUN
fbem-2819	96	5	engineering,2018(3):83	engineering,2018(3):83	ADJ
fbem-2819	96	6	.	.	PUNCT
fbem-2819	97	1	[	[	X
fbem-2819	97	2	9	9	NUM
fbem-2819	97	3	]	]	X
fbem-2819	97	4	liu	liu	PROPN
fbem-2819	97	5	ying	ying	PROPN
fbem-2819	97	6	,	,	PUNCT
fbem-2819	97	7	liu	liu	PROPN
fbem-2819	97	8	yuxia	yuxia	PROPN
fbem-2819	97	9	,	,	PUNCT
fbem-2819	97	10	bi	bi	PROPN
fbem-2819	97	11	ping	ping	PROPN
fbem-2819	97	12	.	.	PUNCT
fbem-2819	98	1	low	low	ADJ
fbem-2819	98	2	-	-	PUNCT
fbem-2819	98	3	resolution	resolution	NOUN
fbem-2819	98	4	image	image	NOUN
fbem-2819	98	5	recognition	recognition	NOUN
fbem-2819	98	6	algorithm	algorithm	NOUN
fbem-2819	98	7	based	base	VERB
fbem-2819	98	8	on	on	ADP
fbem-2819	98	9	edge	edge	NOUN
fbem-2819	98	10	learning	learn	VERB
fbem-2819	99	1	[	[	X
fbem-2819	99	2	j	j	X
fbem-2819	99	3	]	]	X
fbem-2819	99	4	.	.	PUNCT
fbem-2819	100	1	journal	journal	PROPN
fbem-2819	100	2	of	of	ADP
fbem-2819	100	3	computer	computer	PROPN
fbem-2819	100	4	applications,2020,40(7):2046	applications,2020,40(7):2046	PROPN
fbem-2819	100	5	-	-	PUNCT
fbem-2819	100	6	2052	2052	NUM
fbem-2819	100	7	.	.	PUNCT