id	sid	tid	token	lemma	pos
ejpam-5707	1	1	european	european	PROPN
ejpam-5707	1	2	journal	journal	PROPN
ejpam-5707	1	3	of	of	ADP
ejpam-5707	1	4	pure	pure	ADJ
ejpam-5707	1	5	and	and	CCONJ
ejpam-5707	1	6	applied	applied	ADJ
ejpam-5707	1	7	mathematics	mathematic	NOUN
ejpam-5707	1	8	2025	2025	NUM
ejpam-5707	1	9	,	,	PUNCT
ejpam-5707	1	10	vol	vol	NOUN
ejpam-5707	1	11	.	.	PROPN
ejpam-5707	1	12	18	18	NUM
ejpam-5707	1	13	,	,	PUNCT
ejpam-5707	1	14	issue	issue	NOUN
ejpam-5707	1	15	1	1	NUM
ejpam-5707	1	16	,	,	PUNCT
ejpam-5707	1	17	article	article	NOUN
ejpam-5707	1	18	number	number	NOUN
ejpam-5707	1	19	5707	5707	NUM
ejpam-5707	1	20	issn	issn	PROPN
ejpam-5707	1	21	1307	1307	NUM
ejpam-5707	1	22	-	-	SYM
ejpam-5707	1	23	5543	5543	NUM
ejpam-5707	1	24	–	–	PUNCT
ejpam-5707	1	25	ejpam.com	ejpam.com	X
ejpam-5707	1	26	published	publish	VERB
ejpam-5707	1	27	by	by	ADP
ejpam-5707	1	28	new	new	PROPN
ejpam-5707	1	29	york	york	PROPN
ejpam-5707	1	30	business	business	PROPN
ejpam-5707	1	31	global	global	ADJ
ejpam-5707	1	32	1	1	NUM
ejpam-5707	1	33	proposal	proposal	NOUN
ejpam-5707	1	34	for	for	ADP
ejpam-5707	1	35	a	a	DET
ejpam-5707	1	36	generalized	generalized	ADJ
ejpam-5707	1	37	convolution	convolution	NOUN
ejpam-5707	1	38	to	to	ADP
ejpam-5707	1	39	mitigate2	mitigate2	NOUN
ejpam-5707	1	40	heat	heat	NOUN
ejpam-5707	1	41	generation	generation	NOUN
ejpam-5707	1	42	in	in	ADP
ejpam-5707	1	43	convolutional	convolutional	ADJ
ejpam-5707	1	44	neural	neural	ADJ
ejpam-5707	1	45	networks3	networks3	PROPN
ejpam-5707	1	46	hwajoon	hwajoon	PROPN
ejpam-5707	1	47	kim1	kim1	PROPN
ejpam-5707	1	48	,	,	PUNCT
ejpam-5707	1	49	eunyoung	eunyoung	ADJ
ejpam-5707	1	50	lim1	lim1	NOUN
ejpam-5707	1	51	,	,	PUNCT
ejpam-5707	1	52	byeongjae	byeongjae	NOUN
ejpam-5707	1	53	kang1	kang1	NOUN
ejpam-5707	1	54	,	,	PUNCT
ejpam-5707	1	55	sunyoung	sunyoung	PROPN
ejpam-5707	1	56	yeun1,∗	yeun1,∗	PROPN
ejpam-5707	1	57	4	4	NUM
ejpam-5707	1	58	1	1	NUM
ejpam-5707	1	59	kyungdong	kyungdong	PROPN
ejpam-5707	1	60	university	university	PROPN
ejpam-5707	1	61	,	,	PUNCT
ejpam-5707	1	62	kyungdong	kyungdong	PROPN
ejpam-5707	1	63	univ	univ	PROPN
ejpam-5707	1	64	.	.	PUNCT
ejpam-5707	2	1	rd	rd	PROPN
ejpam-5707	2	2	.	.	PROPN
ejpam-5707	2	3	27	27	NUM
ejpam-5707	2	4	,	,	PUNCT
ejpam-5707	2	5	yangju	yangju	PROPN
ejpam-5707	2	6	,	,	PUNCT
ejpam-5707	2	7	gyeonggi	gyeonggi	NOUN
ejpam-5707	2	8	,	,	PUNCT
ejpam-5707	2	9	s.	s.	PROPN
ejpam-5707	2	10	korea5	korea5	PROPN
ejpam-5707	2	11	6	6	NUM
ejpam-5707	2	12	abstract	abstract	NOUN
ejpam-5707	2	13	.	.	PUNCT
ejpam-5707	3	1	in	in	ADP
ejpam-5707	3	2	convolutional	convolutional	ADJ
ejpam-5707	3	3	neural	neural	ADJ
ejpam-5707	3	4	networks	network	NOUN
ejpam-5707	3	5	(	(	PUNCT
ejpam-5707	3	6	cnn	cnn	PROPN
ejpam-5707	3	7	)	)	PUNCT
ejpam-5707	3	8	,	,	PUNCT
ejpam-5707	3	9	the	the	DET
ejpam-5707	3	10	problem	problem	NOUN
ejpam-5707	3	11	of	of	ADP
ejpam-5707	3	12	heat	heat	NOUN
ejpam-5707	3	13	generation	generation	NOUN
ejpam-5707	3	14	is	be	AUX
ejpam-5707	3	15	becoming	become	VERB
ejpam-5707	3	16	a	a	DET
ejpam-5707	3	17	significant	significant	ADJ
ejpam-5707	3	18	issue	issue	NOUN
ejpam-5707	3	19	.	.	PUNCT
ejpam-5707	4	1	this	this	DET
ejpam-5707	4	2	challenge	challenge	NOUN
ejpam-5707	4	3	can	can	AUX
ejpam-5707	4	4	be	be	AUX
ejpam-5707	4	5	mitigated	mitigate	VERB
ejpam-5707	4	6	through	through	ADP
ejpam-5707	4	7	both	both	DET
ejpam-5707	4	8	hardware	hardware	NOUN
ejpam-5707	4	9	and	and	CCONJ
ejpam-5707	4	10	software	software	NOUN
ejpam-5707	4	11	methods	method	NOUN
ejpam-5707	4	12	.	.	PUNCT
ejpam-5707	5	1	this	this	DET
ejpam-5707	5	2	study	study	NOUN
ejpam-5707	5	3	focuses	focus	VERB
ejpam-5707	5	4	on	on	ADP
ejpam-5707	5	5	drastically	drastically	ADV
ejpam-5707	5	6	reducing	reduce	VERB
ejpam-5707	5	7	the	the	DET
ejpam-5707	5	8	amount	amount	NOUN
ejpam-5707	5	9	of	of	ADP
ejpam-5707	5	10	computations	computation	NOUN
ejpam-5707	5	11	and	and	CCONJ
ejpam-5707	5	12	,	,	PUNCT
ejpam-5707	5	13	consequently	consequently	ADV
ejpam-5707	5	14	,	,	PUNCT
ejpam-5707	5	15	the	the	DET
ejpam-5707	5	16	heat	heat	NOUN
ejpam-5707	5	17	generation	generation	NOUN
ejpam-5707	5	18	.	.	PUNCT
ejpam-5707	6	1	specifically	specifically	ADV
ejpam-5707	6	2	,	,	PUNCT
ejpam-5707	6	3	the	the	DET
ejpam-5707	6	4	proposed	propose	VERB
ejpam-5707	6	5	approach	approach	NOUN
ejpam-5707	6	6	reduces	reduce	VERB
ejpam-5707	6	7	computations	computation	NOUN
ejpam-5707	6	8	by	by	ADP
ejpam-5707	6	9	approximately	approximately	ADV
ejpam-5707	6	10	m	m	PROPN
ejpam-5707	6	11	×	×	NOUN
ejpam-5707	6	12	2n	2n	NUM
ejpam-5707	6	13	,	,	PUNCT
ejpam-5707	6	14	where	where	SCONJ
ejpam-5707	6	15	m	m	NOUN
ejpam-5707	6	16	is	be	AUX
ejpam-5707	6	17	the	the	DET
ejpam-5707	6	18	number	number	NOUN
ejpam-5707	6	19	of	of	ADP
ejpam-5707	6	20	layers	layer	NOUN
ejpam-5707	6	21	and	and	CCONJ
ejpam-5707	6	22	n	n	PRON
ejpam-5707	6	23	is	be	AUX
ejpam-5707	6	24	the	the	DET
ejpam-5707	6	25	size	size	NOUN
ejpam-5707	6	26	of	of	ADP
ejpam-5707	6	27	the	the	DET
ejpam-5707	6	28	node	node	NOUN
ejpam-5707	6	29	.	.	PUNCT
ejpam-5707	7	1	2020	2020	NUM
ejpam-5707	7	2	mathematics	mathematics	PROPN
ejpam-5707	7	3	subject	subject	NOUN
ejpam-5707	7	4	classifications	classification	NOUN
ejpam-5707	7	5	:	:	PUNCT
ejpam-5707	7	6	68t01	68t01	NUM
ejpam-5707	7	7	,	,	PUNCT
ejpam-5707	7	8	68t27	68t27	NOUN
ejpam-5707	7	9	,	,	PUNCT
ejpam-5707	7	10	44a357	44a357	ADJ
ejpam-5707	7	11	key	key	ADJ
ejpam-5707	7	12	words	word	NOUN
ejpam-5707	7	13	and	and	CCONJ
ejpam-5707	7	14	phrases	phrase	NOUN
ejpam-5707	7	15	:	:	PUNCT
ejpam-5707	7	16	heat	heat	NOUN
ejpam-5707	7	17	generation	generation	NOUN
ejpam-5707	7	18	,	,	PUNCT
ejpam-5707	7	19	convolutional	convolutional	ADJ
ejpam-5707	7	20	neural	neural	ADJ
ejpam-5707	7	21	networks	network	NOUN
ejpam-5707	7	22	,	,	PUNCT
ejpam-5707	7	23	geralized	geralize	VERB
ejpam-5707	7	24	convolution8	convolution8	NOUN
ejpam-5707	7	25	9	9	NUM
ejpam-5707	7	26	1	1	NUM
ejpam-5707	7	27	.	.	PUNCT
ejpam-5707	7	28	introduction10	introduction10	PROPN
ejpam-5707	8	1	cnn	cnn	PROPN
ejpam-5707	8	2	can	can	AUX
ejpam-5707	8	3	be	be	AUX
ejpam-5707	8	4	understood	understand	VERB
ejpam-5707	8	5	as	as	ADP
ejpam-5707	8	6	a	a	DET
ejpam-5707	8	7	specialized	specialized	ADJ
ejpam-5707	8	8	artificial	artificial	ADJ
ejpam-5707	8	9	intelligence	intelligence	NOUN
ejpam-5707	8	10	framework	framework	NOUN
ejpam-5707	8	11	particularly11	particularly11	NOUN
ejpam-5707	8	12	suited	suit	VERB
ejpam-5707	8	13	for	for	ADP
ejpam-5707	8	14	processing	process	VERB
ejpam-5707	8	15	image	image	NOUN
ejpam-5707	8	16	data	datum	NOUN
ejpam-5707	8	17	.	.	PUNCT
ejpam-5707	9	1	in	in	ADP
ejpam-5707	9	2	cnn	cnn	PROPN
ejpam-5707	9	3	,	,	PUNCT
ejpam-5707	9	4	convolution	convolution	NOUN
ejpam-5707	9	5	serves	serve	VERB
ejpam-5707	9	6	to	to	PART
ejpam-5707	9	7	transform	transform	VERB
ejpam-5707	9	8	the	the	DET
ejpam-5707	9	9	original12	original12	ADJ
ejpam-5707	9	10	image	image	NOUN
ejpam-5707	9	11	into	into	ADP
ejpam-5707	9	12	a	a	DET
ejpam-5707	9	13	feature	feature	NOUN
ejpam-5707	9	14	map	map	NOUN
ejpam-5707	9	15	using	use	VERB
ejpam-5707	9	16	a	a	DET
ejpam-5707	9	17	matrix	matrix	NOUN
ejpam-5707	9	18	,	,	PUNCT
ejpam-5707	9	19	while	while	SCONJ
ejpam-5707	9	20	pooling	pool	VERB
ejpam-5707	9	21	acts	act	NOUN
ejpam-5707	9	22	as	as	ADP
ejpam-5707	9	23	a	a	DET
ejpam-5707	9	24	form	form	NOUN
ejpam-5707	9	25	of	of	ADP
ejpam-5707	9	26	data	datum	NOUN
ejpam-5707	9	27	compres-13	compres-13	PROPN
ejpam-5707	9	28	sion	sion	NOUN
ejpam-5707	9	29	.	.	PUNCT
ejpam-5707	10	1	however	however	ADV
ejpam-5707	10	2	,	,	PUNCT
ejpam-5707	10	3	thses	thse	NOUN
ejpam-5707	10	4	tasks	task	NOUN
ejpam-5707	10	5	often	often	ADV
ejpam-5707	10	6	involve	involve	VERB
ejpam-5707	10	7	unnecessary	unnecessary	ADJ
ejpam-5707	10	8	computational	computational	ADJ
ejpam-5707	10	9	processes	process	NOUN
ejpam-5707	10	10	,	,	PUNCT
ejpam-5707	10	11	inspiring14	inspiring14	NOUN
ejpam-5707	11	1	this	this	DET
ejpam-5707	11	2	research	research	NOUN
ejpam-5707	11	3	to	to	PART
ejpam-5707	11	4	explore	explore	VERB
ejpam-5707	11	5	the	the	DET
ejpam-5707	11	6	possibility	possibility	NOUN
ejpam-5707	11	7	of	of	ADP
ejpam-5707	11	8	eliminating	eliminate	VERB
ejpam-5707	11	9	such	such	ADJ
ejpam-5707	11	10	inefficiencies	inefficiency	NOUN
ejpam-5707	11	11	.	.	PUNCT
ejpam-5707	12	1	consequently,15	consequently,15	NOUN
ejpam-5707	12	2	this	this	DET
ejpam-5707	12	3	study	study	NOUN
ejpam-5707	12	4	proposes	propose	VERB
ejpam-5707	12	5	an	an	DET
ejpam-5707	12	6	algorithm	algorithm	NOUN
ejpam-5707	12	7	that	that	PRON
ejpam-5707	12	8	integrates	integrate	VERB
ejpam-5707	12	9	convolution	convolution	NOUN
ejpam-5707	12	10	and	and	CCONJ
ejpam-5707	12	11	pooling	pooling	NOUN
ejpam-5707	12	12	,	,	PUNCT
ejpam-5707	12	13	traditionally16	traditionally16	NOUN
ejpam-5707	12	14	performed	perform	VERB
ejpam-5707	12	15	as	as	ADP
ejpam-5707	12	16	separate	separate	ADJ
ejpam-5707	12	17	tasks	task	NOUN
ejpam-5707	12	18	,	,	PUNCT
ejpam-5707	12	19	into	into	ADP
ejpam-5707	12	20	a	a	DET
ejpam-5707	12	21	single	single	ADJ
ejpam-5707	12	22	,	,	PUNCT
ejpam-5707	12	23	simplified	simplified	ADJ
ejpam-5707	12	24	operation	operation	NOUN
ejpam-5707	12	25	.	.	PUNCT
ejpam-5707	13	1	this	this	DET
ejpam-5707	13	2	integration	integration	NOUN
ejpam-5707	13	3	aims	aim	VERB
ejpam-5707	13	4	to17	to17	PROPN
ejpam-5707	13	5	mitigate	mitigate	VERB
ejpam-5707	13	6	the	the	DET
ejpam-5707	13	7	heating	heating	NOUN
ejpam-5707	13	8	problem	problem	NOUN
ejpam-5707	13	9	caused	cause	VERB
ejpam-5707	13	10	by	by	ADP
ejpam-5707	13	11	extensive	extensive	ADJ
ejpam-5707	13	12	computations	computation	NOUN
ejpam-5707	13	13	in	in	ADP
ejpam-5707	13	14	deep	deep	ADJ
ejpam-5707	13	15	learning	learning	NOUN
ejpam-5707	13	16	systems.18	systems.18	NOUN
ejpam-5707	13	17	issues	issue	NOUN
ejpam-5707	13	18	related	relate	VERB
ejpam-5707	13	19	to	to	ADP
ejpam-5707	13	20	heating	heating	NOUN
ejpam-5707	13	21	problems	problem	NOUN
ejpam-5707	13	22	are	be	AUX
ejpam-5707	13	23	discussed	discuss	VERB
ejpam-5707	13	24	in	in	ADP
ejpam-5707	13	25	[	[	X
ejpam-5707	13	26	4].19	4].19	NOUN
ejpam-5707	13	27	when	when	SCONJ
ejpam-5707	13	28	cnn	cnn	PROPN
ejpam-5707	13	29	receives	receive	VERB
ejpam-5707	13	30	input	input	NOUN
ejpam-5707	13	31	,	,	PUNCT
ejpam-5707	13	32	it	it	PRON
ejpam-5707	13	33	generates	generate	VERB
ejpam-5707	13	34	multiple	multiple	ADJ
ejpam-5707	13	35	feature	feature	NOUN
ejpam-5707	13	36	maps	map	NOUN
ejpam-5707	13	37	using	use	VERB
ejpam-5707	13	38	the	the	DET
ejpam-5707	13	39	kernel	kernel	PROPN
ejpam-5707	13	40	matrix20	matrix20	NOUN
ejpam-5707	13	41	and	and	CCONJ
ejpam-5707	13	42	then	then	ADV
ejpam-5707	13	43	proceeds	proceed	VERB
ejpam-5707	13	44	with	with	ADP
ejpam-5707	13	45	classification	classification	NOUN
ejpam-5707	13	46	.	.	PUNCT
ejpam-5707	14	1	the	the	DET
ejpam-5707	14	2	kernel	kernel	PROPN
ejpam-5707	14	3	functions	function	NOUN
ejpam-5707	14	4	as	as	ADP
ejpam-5707	14	5	the	the	DET
ejpam-5707	14	6	equivalent	equivalent	NOUN
ejpam-5707	14	7	of	of	ADP
ejpam-5707	14	8	weights21	weights21	NOUN
ejpam-5707	14	9	in	in	ADP
ejpam-5707	14	10	a	a	DET
ejpam-5707	14	11	neural	neural	ADJ
ejpam-5707	14	12	network	network	NOUN
ejpam-5707	14	13	.	.	PUNCT
ejpam-5707	15	1	convolution	convolution	NOUN
ejpam-5707	15	2	,	,	PUNCT
ejpam-5707	15	3	represented	represent	VERB
ejpam-5707	15	4	by	by	ADP
ejpam-5707	15	5	a	a	DET
ejpam-5707	15	6	kernel	kernel	NOUN
ejpam-5707	15	7	matrix	matrix	NOUN
ejpam-5707	15	8	,	,	PUNCT
ejpam-5707	15	9	operates	operate	VERB
ejpam-5707	15	10	as	as	SCONJ
ejpam-5707	15	11	follows	follow	VERB
ejpam-5707	15	12	:	:	PUNCT
ejpam-5707	15	13	by22	by22	NOUN
ejpam-5707	15	14	sweeping	sweep	VERB
ejpam-5707	15	15	an	an	DET
ejpam-5707	15	16	n	n	NUM
ejpam-5707	15	17	×	×	NOUN
ejpam-5707	15	18	n	n	CCONJ
ejpam-5707	15	19	kernel	kernel	NOUN
ejpam-5707	15	20	matrix	matrix	NOUN
ejpam-5707	15	21	across	across	ADP
ejpam-5707	15	22	the	the	DET
ejpam-5707	15	23	original	original	ADJ
ejpam-5707	15	24	image	image	NOUN
ejpam-5707	15	25	,	,	PUNCT
ejpam-5707	15	26	the	the	DET
ejpam-5707	15	27	data	data	NOUN
ejpam-5707	15	28	is	be	AUX
ejpam-5707	15	29	transforms	transform	VERB
ejpam-5707	15	30	into	into	ADP
ejpam-5707	15	31	a23	a23	PROPN
ejpam-5707	15	32	new	new	ADJ
ejpam-5707	15	33	form	form	NOUN
ejpam-5707	15	34	.	.	PUNCT
ejpam-5707	16	1	this	this	DET
ejpam-5707	16	2	process	process	NOUN
ejpam-5707	16	3	involves	involve	VERB
ejpam-5707	16	4	multiplying	multiply	VERB
ejpam-5707	16	5	each	each	PRON
ejpam-5707	16	6	n	n	NUM
ejpam-5707	16	7	×	×	NOUN
ejpam-5707	16	8	n	n	DET
ejpam-5707	16	9	segment	segment	NOUN
ejpam-5707	16	10	of	of	ADP
ejpam-5707	16	11	the	the	DET
ejpam-5707	16	12	input	input	NOUN
ejpam-5707	16	13	matrix	matrix	NOUN
ejpam-5707	16	14	by24	by24	PROPN
ejpam-5707	16	15	the	the	DET
ejpam-5707	16	16	kernel	kernel	NOUN
ejpam-5707	16	17	matrix	matrix	NOUN
ejpam-5707	16	18	and	and	CCONJ
ejpam-5707	16	19	summing	sum	VERB
ejpam-5707	16	20	all	all	DET
ejpam-5707	16	21	the	the	DET
ejpam-5707	16	22	resulting	result	VERB
ejpam-5707	16	23	components	component	NOUN
ejpam-5707	16	24	,	,	PUNCT
ejpam-5707	16	25	yielding	yield	VERB
ejpam-5707	16	26	the	the	DET
ejpam-5707	16	27	convolution.25	convolution.25	PROPN
ejpam-5707	16	28	∗corresponding	∗corresponding	NOUN
ejpam-5707	16	29	author	author	NOUN
ejpam-5707	16	30	.	.	PUNCT
ejpam-5707	17	1	doi	doi	NOUN
ejpam-5707	17	2	:	:	PUNCT
ejpam-5707	17	3	https://doi.org/10.29020/nybg.ejpam.v18i1.5707	https://doi.org/10.29020/nybg.ejpam.v18i1.5707	NUM
ejpam-5707	17	4	email	email	NOUN
ejpam-5707	17	5	addresses	address	NOUN
ejpam-5707	17	6	:	:	PUNCT
ejpam-5707	17	7	cellmath@gmail.com	cellmath@gmail.com	X
ejpam-5707	17	8	(	(	PUNCT
ejpam-5707	17	9	hj	hj	PROPN
ejpam-5707	17	10	.	.	PUNCT
ejpam-5707	17	11	kim	kim	PROPN
ejpam-5707	17	12	)	)	PUNCT
ejpam-5707	17	13	,	,	PUNCT
ejpam-5707	17	14	minkimama0229@gmail.com	minkimama0229@gmail.com	X
ejpam-5707	17	15	(	(	PUNCT
ejpam-5707	17	16	ey	ey	PROPN
ejpam-5707	17	17	.	.	PROPN
ejpam-5707	17	18	lim	lim	PROPN
ejpam-5707	17	19	)	)	PUNCT
ejpam-5707	17	20	,	,	PUNCT
ejpam-5707	17	21	kbj1216@kduniv.ac.kr	kbj1216@kduniv.ac.kr	X
ejpam-5707	17	22	(	(	PUNCT
ejpam-5707	17	23	bj	bj	NOUN
ejpam-5707	17	24	.	.	PUNCT
ejpam-5707	17	25	kang	kang	PROPN
ejpam-5707	17	26	)	)	PUNCT
ejpam-5707	17	27	,	,	PUNCT
ejpam-5707	17	28	ysy3324@kduniv.ac.kr	ysy3324@kduniv.ac.kr	PROPN
ejpam-5707	17	29	(	(	PUNCT
ejpam-5707	17	30	sy	sy	PROPN
ejpam-5707	17	31	.	.	PROPN
ejpam-5707	17	32	yeun	yeun	PROPN
ejpam-5707	17	33	)	)	PUNCT
ejpam-5707	17	34	https://www.ejpam.com	https://www.ejpam.com	NOUN
ejpam-5707	18	1	1	1	NUM
ejpam-5707	18	2	copyright	copyright	NOUN
ejpam-5707	18	3	:	:	PUNCT
ejpam-5707	18	4	©	©	PROPN
ejpam-5707	18	5	2025	2025	NUM
ejpam-5707	18	6	the	the	DET
ejpam-5707	18	7	author(s	author(s	NOUN
ejpam-5707	18	8	)	)	PUNCT
ejpam-5707	18	9	.	.	PUNCT
ejpam-5707	19	1	(	(	PUNCT
ejpam-5707	19	2	cc	cc	NOUN
ejpam-5707	19	3	by	by	ADP
ejpam-5707	19	4	-	-	PUNCT
ejpam-5707	19	5	nc	nc	PROPN
ejpam-5707	19	6	4.0	4.0	NUM
ejpam-5707	19	7	)	)	PUNCT
ejpam-5707	19	8	h.	h.	PROPN
ejpam-5707	19	9	kim	kim	PROPN
ejpam-5707	19	10	et	et	PROPN
ejpam-5707	19	11	al	al	PROPN
ejpam-5707	19	12	.	.	PUNCT
ejpam-5707	19	13	/	/	SYM
ejpam-5707	19	14	eur	eur	PROPN
ejpam-5707	19	15	.	.	PUNCT
ejpam-5707	20	1	j.	j.	PROPN
ejpam-5707	20	2	pure	pure	PROPN
ejpam-5707	20	3	appl	appl	PROPN
ejpam-5707	20	4	.	.	PROPN
ejpam-5707	20	5	math	math	PROPN
ejpam-5707	20	6	,	,	PUNCT
ejpam-5707	20	7	18	18	NUM
ejpam-5707	20	8	(	(	PUNCT
ejpam-5707	20	9	1	1	NUM
ejpam-5707	20	10	)	)	PUNCT
ejpam-5707	20	11	(	(	PUNCT
ejpam-5707	20	12	2025	2025	NUM
ejpam-5707	20	13	)	)	PUNCT
ejpam-5707	20	14	,	,	PUNCT
ejpam-5707	20	15	5707	5707	NUM
ejpam-5707	20	16	2	2	NUM
ejpam-5707	20	17	of	of	ADP
ejpam-5707	20	18	6	6	NUM
ejpam-5707	20	19	deep	deep	ADJ
ejpam-5707	20	20	learning	learning	NOUN
ejpam-5707	20	21	concepts	concept	NOUN
ejpam-5707	20	22	related	relate	VERB
ejpam-5707	20	23	to	to	ADP
ejpam-5707	20	24	this	this	DET
ejpam-5707	20	25	study	study	NOUN
ejpam-5707	20	26	are	be	AUX
ejpam-5707	20	27	discussed	discuss	VERB
ejpam-5707	20	28	in	in	ADP
ejpam-5707	20	29	[	[	X
ejpam-5707	20	30	3	3	NUM
ejpam-5707	20	31	]	]	PUNCT
ejpam-5707	20	32	,	,	PUNCT
ejpam-5707	20	33	[	[	X
ejpam-5707	20	34	2	2	NUM
ejpam-5707	20	35	]	]	PUNCT
ejpam-5707	20	36	,	,	PUNCT
ejpam-5707	20	37	[	[	X
ejpam-5707	20	38	7	7	NUM
ejpam-5707	20	39	]	]	PUNCT
ejpam-5707	20	40	,	,	PUNCT
ejpam-5707	20	41	[	[	X
ejpam-5707	20	42	8	8	NUM
ejpam-5707	20	43	]	]	PUNCT
ejpam-5707	20	44	,	,	PUNCT
ejpam-5707	20	45	[	[	X
ejpam-5707	20	46	1	1	NUM
ejpam-5707	20	47	]	]	PUNCT
ejpam-5707	20	48	,	,	PUNCT
ejpam-5707	20	49	[	[	X
ejpam-5707	20	50	9],26	9],26	NUM
ejpam-5707	20	51	and	and	CCONJ
ejpam-5707	20	52	[	[	X
ejpam-5707	20	53	10	10	NUM
ejpam-5707	20	54	]	]	PUNCT
ejpam-5707	20	55	,	,	PUNCT
ejpam-5707	20	56	while	while	SCONJ
ejpam-5707	20	57	topic	topic	NOUN
ejpam-5707	20	58	concerning	concern	VERB
ejpam-5707	20	59	integral	integral	ADJ
ejpam-5707	20	60	transforms	transform	NOUN
ejpam-5707	20	61	are	be	AUX
ejpam-5707	20	62	presented	present	VERB
ejpam-5707	20	63	in	in	ADP
ejpam-5707	20	64	[	[	X
ejpam-5707	20	65	5	5	NUM
ejpam-5707	20	66	]	]	PUNCT
ejpam-5707	20	67	and	and	CCONJ
ejpam-5707	20	68	[	[	X
ejpam-5707	20	69	6	6	NUM
ejpam-5707	20	70	]	]	PUNCT
ejpam-5707	20	71	.	.	PUNCT
ejpam-5707	21	1	in	in	ADP
ejpam-5707	21	2	this27	this27	NOUN
ejpam-5707	21	3	study	study	NOUN
ejpam-5707	21	4	,	,	PUNCT
ejpam-5707	21	5	we	we	PRON
ejpam-5707	21	6	propose	propose	VERB
ejpam-5707	21	7	a	a	DET
ejpam-5707	21	8	generalized	generalized	ADJ
ejpam-5707	21	9	convolution	convolution	NOUN
ejpam-5707	21	10	through	through	ADP
ejpam-5707	21	11	straightforward	straightforward	ADJ
ejpam-5707	21	12	examples	example	NOUN
ejpam-5707	21	13	,	,	PUNCT
ejpam-5707	21	14	with	with	SCONJ
ejpam-5707	21	15	the28	the28	PROPN
ejpam-5707	21	16	mathematical	mathematical	ADJ
ejpam-5707	21	17	details	detail	NOUN
ejpam-5707	21	18	to	to	PART
ejpam-5707	21	19	be	be	AUX
ejpam-5707	21	20	elaborated	elaborate	VERB
ejpam-5707	21	21	on	on	ADP
ejpam-5707	21	22	in	in	ADP
ejpam-5707	21	23	future	future	ADJ
ejpam-5707	21	24	work.29	work.29	PROPN
ejpam-5707	21	25	2	2	NUM
ejpam-5707	21	26	.	.	PUNCT
ejpam-5707	21	27	proposal	proposal	NOUN
ejpam-5707	21	28	for	for	ADP
ejpam-5707	21	29	a	a	DET
ejpam-5707	21	30	generalized	generalized	ADJ
ejpam-5707	21	31	convolution	convolution	NOUN
ejpam-5707	21	32	to	to	PART
ejpam-5707	21	33	mitigate	mitigate	VERB
ejpam-5707	21	34	heat	heat	NOUN
ejpam-5707	21	35	generation	generation	NOUN
ejpam-5707	21	36	in30	in30	PROPN
ejpam-5707	21	37	convolutional	convolutional	ADJ
ejpam-5707	21	38	neural	neural	ADJ
ejpam-5707	21	39	networks31	networks31	NOUN
ejpam-5707	21	40	existing	exist	VERB
ejpam-5707	21	41	neural	neural	ADJ
ejpam-5707	21	42	networks	network	NOUN
ejpam-5707	21	43	update	update	VERB
ejpam-5707	21	44	weights	weight	NOUN
ejpam-5707	21	45	using	use	VERB
ejpam-5707	21	46	the	the	DET
ejpam-5707	21	47	process	process	NOUN
ejpam-5707	22	1	wa	wa	ADJ
ejpam-5707	23	1	ij	ij	INTJ
ejpam-5707	24	1	=	=	PUNCT
ejpam-5707	24	2	wb	wb	PROPN
ejpam-5707	24	3	ij	ij	INTJ
ejpam-5707	24	4	−	−	PROPN
ejpam-5707	24	5	αew	αew	NOUN
ejpam-5707	24	6	,	,	PUNCT
ejpam-5707	24	7	where	where	SCONJ
ejpam-5707	24	8	α	α	NOUN
ejpam-5707	24	9	is	be	AUX
ejpam-5707	24	10	the	the	DET
ejpam-5707	24	11	learning	learning	NOUN
ejpam-5707	24	12	rate	rate	NOUN
ejpam-5707	24	13	,	,	PUNCT
ejpam-5707	24	14	wb	wb	PROPN
ejpam-5707	24	15	represents	represent	VERB
ejpam-5707	24	16	the	the	DET
ejpam-5707	24	17	weight	weight	NOUN
ejpam-5707	24	18	before	before	ADP
ejpam-5707	24	19	the	the	DET
ejpam-5707	24	20	update	update	NOUN
ejpam-5707	24	21	,	,	PUNCT
ejpam-5707	24	22	wa	wa	PROPN
ejpam-5707	24	23	denotes	denote	VERB
ejpam-5707	24	24	the32	the32	PROPN
ejpam-5707	24	25	weight	weight	NOUN
ejpam-5707	24	26	after	after	ADP
ejpam-5707	24	27	the	the	DET
ejpam-5707	24	28	update	update	NOUN
ejpam-5707	24	29	,	,	PUNCT
ejpam-5707	24	30	and	and	CCONJ
ejpam-5707	24	31	ew	ew	AUX
ejpam-5707	24	32	represents	represent	VERB
ejpam-5707	24	33	the	the	DET
ejpam-5707	24	34	partial	partial	ADJ
ejpam-5707	24	35	derivative	derivative	NOUN
ejpam-5707	24	36	of	of	ADP
ejpam-5707	24	37	error	error	NOUN
ejpam-5707	24	38	e	e	NOUN
ejpam-5707	24	39	with	with	ADP
ejpam-5707	24	40	respect	respect	NOUN
ejpam-5707	24	41	to33	to33	PROPN
ejpam-5707	24	42	w.	w.	PROPN
ejpam-5707	24	43	in	in	ADP
ejpam-5707	24	44	cnn	cnn	PROPN
ejpam-5707	24	45	,	,	PUNCT
ejpam-5707	24	46	convolution	convolution	NOUN
ejpam-5707	24	47	can	can	AUX
ejpam-5707	24	48	be	be	AUX
ejpam-5707	24	49	interpreted	interpret	VERB
ejpam-5707	24	50	as	as	ADP
ejpam-5707	24	51	a	a	DET
ejpam-5707	24	52	specific	specific	ADJ
ejpam-5707	24	53	form	form	NOUN
ejpam-5707	24	54	of	of	ADP
ejpam-5707	24	55	weight.34	weight.34	ADJ
ejpam-5707	24	56	definition	definition	NOUN
ejpam-5707	24	57	1	1	NUM
ejpam-5707	24	58	.	.	PUNCT
ejpam-5707	25	1	the	the	DET
ejpam-5707	25	2	convolution	convolution	NOUN
ejpam-5707	25	3	of	of	ADP
ejpam-5707	25	4	matrix	matrix	NOUN
ejpam-5707	25	5	a	a	DET
ejpam-5707	25	6	and	and	CCONJ
ejpam-5707	25	7	matrix	matrix	NOUN
ejpam-5707	25	8	b	b	NOUN
ejpam-5707	25	9	is	be	AUX
ejpam-5707	25	10	denoted	denote	VERB
ejpam-5707	25	11	by	by	ADP
ejpam-5707	25	12	array	array	NOUN
ejpam-5707	25	13	multiplica-35	multiplica-35	PROPN
ejpam-5707	25	14	tion	tion	NOUN
ejpam-5707	25	15	a	a	DET
ejpam-5707	25	16	◦	◦	NOUN
ejpam-5707	25	17	b.36	b.36	PUNCT
ejpam-5707	25	18	the	the	DET
ejpam-5707	25	19	following	follow	VERB
ejpam-5707	25	20	lemma	lemma	PROPN
ejpam-5707	25	21	shows	show	VERB
ejpam-5707	25	22	the	the	DET
ejpam-5707	25	23	relationship	relationship	NOUN
ejpam-5707	25	24	between	between	ADP
ejpam-5707	25	25	convolution	convolution	NOUN
ejpam-5707	25	26	in	in	ADP
ejpam-5707	25	27	mathematics	mathematic	NOUN
ejpam-5707	25	28	and37	and37	PROPN
ejpam-5707	25	29	convolution	convolution	NOUN
ejpam-5707	25	30	in	in	ADP
ejpam-5707	25	31	ai.38	ai.38	PROPN
ejpam-5707	25	32	lemma	lemma	PROPN
ejpam-5707	25	33	1	1	NUM
ejpam-5707	25	34	.	.	PUNCT
ejpam-5707	26	1	a	a	DET
ejpam-5707	26	2	◦	◦	NOUN
ejpam-5707	26	3	b	b	NOUN
ejpam-5707	26	4	=	=	PUNCT
ejpam-5707	26	5	tr(abt	tr(abt	PROPN
ejpam-5707	26	6	)	)	PUNCT
ejpam-5707	26	7	,	,	PUNCT
ejpam-5707	26	8	where	where	SCONJ
ejpam-5707	26	9	t	t	PROPN
ejpam-5707	26	10	is	be	AUX
ejpam-5707	26	11	the	the	DET
ejpam-5707	26	12	transpose	transpose	NOUN
ejpam-5707	26	13	and	and	CCONJ
ejpam-5707	26	14	tr	tr	NOUN
ejpam-5707	26	15	is	be	AUX
ejpam-5707	26	16	the	the	DET
ejpam-5707	26	17	trace.39	trace.39	NOUN
ejpam-5707	26	18	proof	proof	NOUN
ejpam-5707	26	19	.	.	PUNCT
ejpam-5707	27	1	the	the	DET
ejpam-5707	27	2	detail	detail	NOUN
ejpam-5707	27	3	is	be	AUX
ejpam-5707	27	4	can	can	AUX
ejpam-5707	27	5	be	be	AUX
ejpam-5707	27	6	found	find	VERB
ejpam-5707	27	7	in	in	ADP
ejpam-5707	27	8	[	[	PUNCT
ejpam-5707	27	9	2].40	2].40	NUM
ejpam-5707	27	10	the	the	DET
ejpam-5707	27	11	second	second	ADJ
ejpam-5707	27	12	step	step	NOUN
ejpam-5707	27	13	of	of	ADP
ejpam-5707	27	14	cnn	cnn	PROPN
ejpam-5707	27	15	is	be	AUX
ejpam-5707	27	16	the	the	DET
ejpam-5707	27	17	pooling	pooling	NOUN
ejpam-5707	27	18	.	.	PUNCT
ejpam-5707	28	1	this	this	PRON
ejpam-5707	28	2	is	be	AUX
ejpam-5707	28	3	the	the	DET
ejpam-5707	28	4	work	work	NOUN
ejpam-5707	28	5	of	of	ADP
ejpam-5707	28	6	reducing	reduce	VERB
ejpam-5707	28	7	size	size	NOUN
ejpam-5707	28	8	,	,	PUNCT
ejpam-5707	28	9	which	which	PRON
ejpam-5707	28	10	is	be	AUX
ejpam-5707	28	11	to	to	PART
ejpam-5707	28	12	transform	transform	VERB
ejpam-5707	28	13	the	the	DET
ejpam-5707	28	14	image	image	NOUN
ejpam-5707	28	15	of	of	ADP
ejpam-5707	28	16	the	the	DET
ejpam-5707	28	17	convolution	convolution	NOUN
ejpam-5707	28	18	into	into	ADP
ejpam-5707	28	19	a	a	DET
ejpam-5707	28	20	small	small	ADJ
ejpam-5707	28	21	image	image	NOUN
ejpam-5707	28	22	by	by	ADP
ejpam-5707	28	23	extracting	extract	VERB
ejpam-5707	28	24	a	a	DET
ejpam-5707	28	25	representative	representative	NOUN
ejpam-5707	28	26	from	from	ADP
ejpam-5707	28	27	each	each	DET
ejpam-5707	28	28	part	part	NOUN
ejpam-5707	28	29	.	.	PUNCT
ejpam-5707	29	1	for	for	ADP
ejpam-5707	29	2	example	example	NOUN
ejpam-5707	29	3	,	,	PUNCT
ejpam-5707	29	4	in	in	ADP
ejpam-5707	29	5	short	short	ADJ
ejpam-5707	29	6	,	,	PUNCT
ejpam-5707	29	7	if	if	SCONJ
ejpam-5707	29	8	we	we	PRON
ejpam-5707	29	9	have	have	VERB
ejpam-5707	29	10	max	max	NOUN
ejpam-5707	29	11	-	-	PUNCT
ejpam-5707	29	12	pooling	pool	VERB
ejpam-5707	29	13	a	a	DET
ejpam-5707	29	14	matrix	matrix	NOUN
ejpam-5707	29	15	(	(	PUNCT
ejpam-5707	29	16	1	1	NUM
ejpam-5707	29	17	2	2	NUM
ejpam-5707	29	18	3	3	NUM
ejpam-5707	29	19	4	4	NUM
ejpam-5707	29	20	)	)	PUNCT
ejpam-5707	29	21	,	,	PUNCT
ejpam-5707	29	22	we	we	PRON
ejpam-5707	29	23	obtain	obtain	VERB
ejpam-5707	29	24	a	a	DET
ejpam-5707	29	25	matrix	matrix	NOUN
ejpam-5707	29	26	(	(	PUNCT
ejpam-5707	29	27	4	4	NUM
ejpam-5707	29	28	)	)	PUNCT
ejpam-5707	29	29	of	of	ADP
ejpam-5707	29	30	1	1	NUM
ejpam-5707	29	31	row	row	NOUN
ejpam-5707	29	32	and	and	CCONJ
ejpam-5707	29	33	1	1	NUM
ejpam-5707	29	34	column(just	column(just	NOUN
ejpam-5707	29	35	a	a	DET
ejpam-5707	29	36	simple	simple	ADJ
ejpam-5707	29	37	task	task	NOUN
ejpam-5707	29	38	of	of	ADP
ejpam-5707	29	39	drawing	draw	VERB
ejpam-5707	29	40	the	the	DET
ejpam-5707	29	41	largest	large	ADJ
ejpam-5707	29	42	number	number	NOUN
ejpam-5707	29	43	)	)	PUNCT
ejpam-5707	29	44	.	.	PUNCT
ejpam-5707	30	1	this	this	PRON
ejpam-5707	30	2	pooling	pool	VERB
ejpam-5707	30	3	is41	is41	PROPN
ejpam-5707	30	4	simple	simple	NOUN
ejpam-5707	30	5	,	,	PUNCT
ejpam-5707	30	6	but	but	CCONJ
ejpam-5707	30	7	it	it	PRON
ejpam-5707	30	8	makes	make	VERB
ejpam-5707	30	9	a	a	DET
ejpam-5707	30	10	contribution	contribution	NOUN
ejpam-5707	30	11	to	to	PART
ejpam-5707	30	12	enhance	enhance	VERB
ejpam-5707	30	13	performance	performance	NOUN
ejpam-5707	30	14	.	.	PUNCT
ejpam-5707	31	1	because	because	SCONJ
ejpam-5707	31	2	,	,	PUNCT
ejpam-5707	31	3	it	it	PRON
ejpam-5707	31	4	is	be	AUX
ejpam-5707	31	5	the	the	DET
ejpam-5707	31	6	principle42	principle42	NOUN
ejpam-5707	31	7	that	that	SCONJ
ejpam-5707	31	8	the	the	DET
ejpam-5707	31	9	resolution	resolution	NOUN
ejpam-5707	31	10	is	be	AUX
ejpam-5707	31	11	increased	increase	VERB
ejpam-5707	31	12	when	when	SCONJ
ejpam-5707	31	13	the	the	DET
ejpam-5707	31	14	screen	screen	NOUN
ejpam-5707	31	15	is	be	AUX
ejpam-5707	31	16	reduced	reduce	VERB
ejpam-5707	31	17	.	.	PUNCT
ejpam-5707	32	1	[	[	X
ejpam-5707	32	2	8	8	NUM
ejpam-5707	32	3	]	]	PUNCT
ejpam-5707	32	4	has	have	AUX
ejpam-5707	32	5	shown	show	VERB
ejpam-5707	32	6	that	that	DET
ejpam-5707	32	7	features43	features43	NOUN
ejpam-5707	32	8	are	be	AUX
ejpam-5707	32	9	invariant	invariant	ADJ
ejpam-5707	32	10	in	in	ADP
ejpam-5707	32	11	fine	fine	ADJ
ejpam-5707	32	12	translation	translation	NOUN
ejpam-5707	32	13	and	and	CCONJ
ejpam-5707	32	14	reduce	reduce	VERB
ejpam-5707	32	15	noise	noise	NOUN
ejpam-5707	32	16	.	.	PUNCT
ejpam-5707	33	1	the	the	DET
ejpam-5707	33	2	currently	currently	ADV
ejpam-5707	33	3	widely	widely	ADV
ejpam-5707	33	4	used	use	VERB
ejpam-5707	33	5	pooling44	pooling44	NOUN
ejpam-5707	33	6	method	method	NOUN
ejpam-5707	33	7	is	be	AUX
ejpam-5707	33	8	max	max	NOUN
ejpam-5707	33	9	-	-	PUNCT
ejpam-5707	33	10	pooling	pooling	NOUN
ejpam-5707	33	11	,	,	PUNCT
ejpam-5707	33	12	which	which	PRON
ejpam-5707	33	13	is	be	AUX
ejpam-5707	33	14	quite	quite	ADV
ejpam-5707	33	15	simple	simple	ADJ
ejpam-5707	33	16	as	as	ADP
ejpam-5707	33	17	the	the	DET
ejpam-5707	33	18	above	above	NOUN
ejpam-5707	33	19	but	but	CCONJ
ejpam-5707	33	20	has	have	VERB
ejpam-5707	33	21	a	a	DET
ejpam-5707	33	22	reasonable	reasonable	ADJ
ejpam-5707	33	23	effect.45	effect.45	NOUN
ejpam-5707	33	24	now	now	ADV
ejpam-5707	33	25	,	,	PUNCT
ejpam-5707	33	26	let	let	VERB
ejpam-5707	33	27	us	we	PRON
ejpam-5707	33	28	define	define	VERB
ejpam-5707	33	29	a	a	DET
ejpam-5707	33	30	generalized	generalized	ADJ
ejpam-5707	33	31	convolution	convolution	NOUN
ejpam-5707	33	32	as	as	SCONJ
ejpam-5707	33	33	follows	follow	VERB
ejpam-5707	33	34	.	.	PUNCT
ejpam-5707	34	1	then	then	ADV
ejpam-5707	34	2	,	,	PUNCT
ejpam-5707	34	3	this	this	DET
ejpam-5707	34	4	definition	definition	NOUN
ejpam-5707	34	5	can	can	AUX
ejpam-5707	34	6	provide46	provide46	VERB
ejpam-5707	34	7	the	the	DET
ejpam-5707	34	8	simplicity	simplicity	NOUN
ejpam-5707	34	9	of	of	ADP
ejpam-5707	34	10	integrating	integrate	VERB
ejpam-5707	34	11	the	the	DET
ejpam-5707	34	12	dualized	dualize	VERB
ejpam-5707	34	13	convolution	convolution	NOUN
ejpam-5707	34	14	and	and	CCONJ
ejpam-5707	34	15	max	max	PROPN
ejpam-5707	34	16	-	-	PUNCT
ejpam-5707	34	17	pooling	pooling	NOUN
ejpam-5707	34	18	into	into	ADP
ejpam-5707	34	19	one	one	NUM
ejpam-5707	34	20	.	.	PUNCT
ejpam-5707	35	1	without47	without47	NOUN
ejpam-5707	35	2	further	far	ADV
ejpam-5707	35	3	mention	mention	VERB
ejpam-5707	35	4	,	,	PUNCT
ejpam-5707	35	5	sp	sp	NOUN
ejpam-5707	35	6	,	,	PUNCT
ejpam-5707	35	7	sc	sc	PROPN
ejpam-5707	35	8	,	,	PUNCT
ejpam-5707	35	9	ss	ss	PROPN
ejpam-5707	35	10	and	and	CCONJ
ejpam-5707	35	11	si	si	INTJ
ejpam-5707	35	12	refer	refer	VERB
ejpam-5707	35	13	to	to	ADP
ejpam-5707	35	14	pooling	pool	VERB
ejpam-5707	35	15	size	size	NOUN
ejpam-5707	35	16	,	,	PUNCT
ejpam-5707	35	17	convolution	convolution	NOUN
ejpam-5707	35	18	size	size	NOUN
ejpam-5707	35	19	,	,	PUNCT
ejpam-5707	35	20	stride	stride	ADJ
ejpam-5707	35	21	size	size	NOUN
ejpam-5707	35	22	,	,	PUNCT
ejpam-5707	35	23	and48	and48	VERB
ejpam-5707	35	24	image	image	NOUN
ejpam-5707	35	25	size	size	NOUN
ejpam-5707	35	26	,	,	PUNCT
ejpam-5707	35	27	respectively.49	respectively.49	VERB
ejpam-5707	35	28	a	a	DET
ejpam-5707	35	29	matrix	matrix	NOUN
ejpam-5707	35	30	b	b	NOUN
ejpam-5707	35	31	is	be	AUX
ejpam-5707	35	32	called	call	VERB
ejpam-5707	35	33	a	a	DET
ejpam-5707	35	34	submatrix	submatrix	NOUN
ejpam-5707	35	35	of	of	ADP
ejpam-5707	35	36	a	a	DET
ejpam-5707	35	37	if	if	SCONJ
ejpam-5707	35	38	b	b	PROPN
ejpam-5707	35	39	⊂	⊂	PROPN
ejpam-5707	35	40	a	a	PRON
ejpam-5707	35	41	and	and	CCONJ
ejpam-5707	35	42	satisfies	satisfy	VERB
ejpam-5707	35	43	the	the	DET
ejpam-5707	35	44	conditions	condition	NOUN
ejpam-5707	35	45	of	of	ADP
ejpam-5707	35	46	a	a	DET
ejpam-5707	35	47	matrix.50	matrix.50	PROPN
ejpam-5707	35	48	51	51	NUM
ejpam-5707	35	49	h.	h.	PROPN
ejpam-5707	35	50	kim	kim	PROPN
ejpam-5707	35	51	et	et	PROPN
ejpam-5707	35	52	al	al	PROPN
ejpam-5707	35	53	.	.	PUNCT
ejpam-5707	35	54	/	/	SYM
ejpam-5707	35	55	eur	eur	PROPN
ejpam-5707	35	56	.	.	PUNCT
ejpam-5707	36	1	j.	j.	PROPN
ejpam-5707	36	2	pure	pure	PROPN
ejpam-5707	36	3	appl	appl	PROPN
ejpam-5707	36	4	.	.	PROPN
ejpam-5707	36	5	math	math	PROPN
ejpam-5707	36	6	,	,	PUNCT
ejpam-5707	36	7	18	18	NUM
ejpam-5707	36	8	(	(	PUNCT
ejpam-5707	36	9	1	1	NUM
ejpam-5707	36	10	)	)	PUNCT
ejpam-5707	36	11	(	(	PUNCT
ejpam-5707	36	12	2025	2025	NUM
ejpam-5707	36	13	)	)	PUNCT
ejpam-5707	36	14	,	,	PUNCT
ejpam-5707	36	15	5707	5707	NUM
ejpam-5707	36	16	3	3	NUM
ejpam-5707	36	17	of	of	ADP
ejpam-5707	36	18	6	6	NUM
ejpam-5707	36	19	definition	definition	NOUN
ejpam-5707	36	20	2	2	NUM
ejpam-5707	36	21	.	.	PUNCT
ejpam-5707	37	1	let	let	VERB
ejpam-5707	37	2	a	a	PRON
ejpam-5707	37	3	be	be	AUX
ejpam-5707	37	4	an	an	DET
ejpam-5707	37	5	image	image	NOUN
ejpam-5707	37	6	data	datum	NOUN
ejpam-5707	37	7	and	and	CCONJ
ejpam-5707	37	8	let	let	VERB
ejpam-5707	37	9	m	m	PRON
ejpam-5707	37	10	be	be	AUX
ejpam-5707	37	11	a	a	DET
ejpam-5707	37	12	submatrix	submatrix	NOUN
ejpam-5707	37	13	of	of	ADP
ejpam-5707	37	14	a	a	PRON
ejpam-5707	37	15	that	that	PRON
ejpam-5707	37	16	contains	contain	VERB
ejpam-5707	37	17	the52	the52	ADJ
ejpam-5707	37	18	maximum	maximum	ADJ
ejpam-5707	37	19	element	element	NOUN
ejpam-5707	37	20	of	of	ADP
ejpam-5707	37	21	a	a	PRON
ejpam-5707	37	22	in	in	ADP
ejpam-5707	37	23	the	the	DET
ejpam-5707	37	24	center	center	NOUN
ejpam-5707	37	25	.	.	PUNCT
ejpam-5707	38	1	a	a	DET
ejpam-5707	38	2	generalized	generalized	ADJ
ejpam-5707	38	3	convolution	convolution	NOUN
ejpam-5707	38	4	incorporating	incorporate	VERB
ejpam-5707	38	5	convolution53	convolution53	NOUN
ejpam-5707	38	6	and	and	CCONJ
ejpam-5707	38	7	max	max	PROPN
ejpam-5707	38	8	-	-	PUNCT
ejpam-5707	38	9	pooling	pooling	NOUN
ejpam-5707	38	10	can	can	AUX
ejpam-5707	38	11	be	be	AUX
ejpam-5707	38	12	denoted	denote	VERB
ejpam-5707	38	13	by	by	ADP
ejpam-5707	38	14	the	the	DET
ejpam-5707	38	15	maximum	maximum	ADJ
ejpam-5707	38	16	element	element	NOUN
ejpam-5707	38	17	of	of	ADP
ejpam-5707	38	18	c	c	PROPN
ejpam-5707	38	19	◦	◦	NOUN
ejpam-5707	38	20	m	m	VERB
ejpam-5707	38	21	,	,	PUNCT
ejpam-5707	38	22	where	where	SCONJ
ejpam-5707	38	23	c	c	NOUN
ejpam-5707	38	24	is	be	AUX
ejpam-5707	38	25	a	a	DET
ejpam-5707	38	26	given54	given54	NOUN
ejpam-5707	38	27	convolution.55	convolution.55	NOUN
ejpam-5707	38	28	let	let	VERB
ejpam-5707	38	29	a.	a.	NOUN
ejpam-5707	38	30	c	c	NOUN
ejpam-5707	38	31	,	,	PUNCT
ejpam-5707	38	32	mb	mb	ADP
ejpam-5707	38	33	,	,	PUNCT
ejpam-5707	38	34	and	and	CCONJ
ejpam-5707	38	35	ma	ma	PROPN
ejpam-5707	38	36	be	be	AUX
ejpam-5707	38	37	the	the	DET
ejpam-5707	38	38	given	give	VERB
ejpam-5707	38	39	image	image	NOUN
ejpam-5707	38	40	,	,	PUNCT
ejpam-5707	38	41	convolution	convolution	NOUN
ejpam-5707	38	42	,	,	PUNCT
ejpam-5707	38	43	the	the	DET
ejpam-5707	38	44	maximum	maximum	ADJ
ejpam-5707	38	45	element	element	NOUN
ejpam-5707	38	46	be-56	be-56	CCONJ
ejpam-5707	38	47	fore	fore	NOUN
ejpam-5707	38	48	convolution	convolution	NOUN
ejpam-5707	38	49	,	,	PUNCT
ejpam-5707	38	50	and	and	CCONJ
ejpam-5707	38	51	the	the	DET
ejpam-5707	38	52	maximum	maximum	ADJ
ejpam-5707	38	53	element	element	NOUN
ejpam-5707	38	54	after	after	ADP
ejpam-5707	38	55	convolution	convolution	NOUN
ejpam-5707	38	56	,	,	PUNCT
ejpam-5707	38	57	respectively	respectively	ADV
ejpam-5707	38	58	.	.	PUNCT
ejpam-5707	39	1	consider	consider	VERB
ejpam-5707	39	2	the57	the57	NOUN
ejpam-5707	39	3	submatrix	submatrix	NOUN
ejpam-5707	39	4	{	{	PUNCT
ejpam-5707	39	5	m	m	NOUN
ejpam-5707	39	6	|m	|m	VERB
ejpam-5707	39	7	⊂	⊂	PROPN
ejpam-5707	39	8	a	a	X
ejpam-5707	39	9	}	}	PUNCT
ejpam-5707	39	10	containing	contain	VERB
ejpam-5707	39	11	the	the	DET
ejpam-5707	39	12	maximum	maximum	ADJ
ejpam-5707	39	13	element	element	NOUN
ejpam-5707	39	14	mb	mb	PROPN
ejpam-5707	39	15	.	.	PROPN
ejpam-5707	39	16	note	note	VERB
ejpam-5707	39	17	that	that	SCONJ
ejpam-5707	39	18	m	m	VERB
ejpam-5707	39	19	⊆	⊆	NUM
ejpam-5707	39	20	a	a	DET
ejpam-5707	39	21	and58	and58	ADJ
ejpam-5707	39	22	sm	sm	PROPN
ejpam-5707	39	23	=	=	PROPN
ejpam-5707	39	24	sc	sc	PROPN
ejpam-5707	39	25	.	.	PUNCT
ejpam-5707	40	1	a	a	DET
ejpam-5707	40	2	generalized	generalized	ADJ
ejpam-5707	40	3	convolution	convolution	NOUN
ejpam-5707	40	4	incorporating	incorporate	VERB
ejpam-5707	40	5	convolution	convolution	NOUN
ejpam-5707	40	6	and	and	CCONJ
ejpam-5707	40	7	max	max	PROPN
ejpam-5707	40	8	-	-	PUNCT
ejpam-5707	40	9	pooling	pooling	NOUN
ejpam-5707	40	10	can	can	AUX
ejpam-5707	40	11	be59	be59	PROPN
ejpam-5707	40	12	denoted	denote	VERB
ejpam-5707	40	13	by	by	ADP
ejpam-5707	40	14	ma	ma	PROPN
ejpam-5707	40	15	∈	∈	PROPN
ejpam-5707	40	16	(	(	PUNCT
ejpam-5707	40	17	c	c	NOUN
ejpam-5707	40	18	◦	◦	NOUN
ejpam-5707	40	19	m	m	PROPN
ejpam-5707	40	20	)	)	PUNCT
ejpam-5707	40	21	.	.	PUNCT
ejpam-5707	41	1	this	this	PRON
ejpam-5707	41	2	means	mean	VERB
ejpam-5707	41	3	the	the	DET
ejpam-5707	41	4	maximal	maximal	ADJ
ejpam-5707	41	5	element	element	NOUN
ejpam-5707	41	6	of	of	ADP
ejpam-5707	41	7	the	the	DET
ejpam-5707	41	8	matrix	matrix	NOUN
ejpam-5707	41	9	created	create	VERB
ejpam-5707	41	10	as	as	ADP
ejpam-5707	41	11	a60	a60	PROPN
ejpam-5707	41	12	result	result	NOUN
ejpam-5707	41	13	of	of	ADP
ejpam-5707	41	14	array	array	NOUN
ejpam-5707	41	15	multiplication	multiplication	NOUN
ejpam-5707	41	16	of	of	ADP
ejpam-5707	41	17	the	the	DET
ejpam-5707	41	18	image	image	NOUN
ejpam-5707	41	19	containing	contain	VERB
ejpam-5707	41	20	mb	mb	ADP
ejpam-5707	41	21	and	and	CCONJ
ejpam-5707	41	22	the	the	DET
ejpam-5707	41	23	convolution.61	convolution.61	NOUN
ejpam-5707	41	24	the	the	DET
ejpam-5707	41	25	significance	significance	NOUN
ejpam-5707	41	26	of	of	ADP
ejpam-5707	41	27	this	this	DET
ejpam-5707	41	28	definition	definition	NOUN
ejpam-5707	41	29	is	be	AUX
ejpam-5707	41	30	that	that	SCONJ
ejpam-5707	41	31	there	there	PRON
ejpam-5707	41	32	is	be	VERB
ejpam-5707	41	33	no	no	DET
ejpam-5707	41	34	need	need	NOUN
ejpam-5707	41	35	to	to	PART
ejpam-5707	41	36	stack	stack	VERB
ejpam-5707	41	37	the	the	DET
ejpam-5707	41	38	convolution	convolution	NOUN
ejpam-5707	41	39	layer62	layer62	NOUN
ejpam-5707	41	40	and	and	CCONJ
ejpam-5707	41	41	the	the	DET
ejpam-5707	41	42	pooling	pooling	NOUN
ejpam-5707	41	43	layer	layer	NOUN
ejpam-5707	41	44	as	as	ADP
ejpam-5707	41	45	a	a	DET
ejpam-5707	41	46	pair	pair	NOUN
ejpam-5707	41	47	,	,	PUNCT
ejpam-5707	41	48	which	which	PRON
ejpam-5707	41	49	is	be	AUX
ejpam-5707	41	50	the	the	DET
ejpam-5707	41	51	conventional	conventional	ADJ
ejpam-5707	41	52	method	method	NOUN
ejpam-5707	41	53	.	.	PUNCT
ejpam-5707	42	1	instead	instead	ADV
ejpam-5707	42	2	,	,	PUNCT
ejpam-5707	42	3	convolutional63	convolutional63	VERB
ejpam-5707	42	4	deep	deep	ADJ
ejpam-5707	42	5	neural	neural	ADJ
ejpam-5707	42	6	networks	network	NOUN
ejpam-5707	42	7	can	can	AUX
ejpam-5707	42	8	be	be	AUX
ejpam-5707	42	9	constructed	construct	VERB
ejpam-5707	42	10	using	use	VERB
ejpam-5707	42	11	only	only	ADV
ejpam-5707	42	12	a	a	DET
ejpam-5707	42	13	subset	subset	NOUN
ejpam-5707	42	14	of	of	ADP
ejpam-5707	42	15	the	the	DET
ejpam-5707	42	16	convolutional	convolutional	ADJ
ejpam-5707	42	17	layers.64	layers.64	NOUN
ejpam-5707	42	18	this	this	PRON
ejpam-5707	42	19	subset	subset	NOUN
ejpam-5707	42	20	corresponds	correspond	VERB
ejpam-5707	42	21	to	to	ADP
ejpam-5707	42	22	the	the	DET
ejpam-5707	42	23	multiplication	multiplication	NOUN
ejpam-5707	42	24	of	of	ADP
ejpam-5707	42	25	maximum	maximum	ADJ
ejpam-5707	42	26	elements	element	NOUN
ejpam-5707	42	27	.	.	PUNCT
ejpam-5707	43	1	to	to	PART
ejpam-5707	43	2	find	find	VERB
ejpam-5707	43	3	the	the	DET
ejpam-5707	43	4	maximum65	maximum65	NOUN
ejpam-5707	43	5	element	element	NOUN
ejpam-5707	43	6	,	,	PUNCT
ejpam-5707	43	7	simply	simply	ADV
ejpam-5707	43	8	select	select	VERB
ejpam-5707	43	9	the	the	DET
ejpam-5707	43	10	matrix	matrix	NOUN
ejpam-5707	43	11	containing	contain	VERB
ejpam-5707	43	12	the	the	DET
ejpam-5707	43	13	largest	large	ADJ
ejpam-5707	43	14	number	number	NOUN
ejpam-5707	43	15	within	within	ADP
ejpam-5707	43	16	n	n	NUM
ejpam-5707	43	17	×	×	NOUN
ejpam-5707	43	18	n	n	DET
ejpam-5707	43	19	matrix66	matrix66	NOUN
ejpam-5707	43	20	(	(	PUNCT
ejpam-5707	43	21	where	where	SCONJ
ejpam-5707	43	22	n	n	PRON
ejpam-5707	43	23	is	be	AUX
ejpam-5707	43	24	fixed	fix	VERB
ejpam-5707	43	25	)	)	PUNCT
ejpam-5707	43	26	.	.	PUNCT
ejpam-5707	44	1	in	in	ADP
ejpam-5707	44	2	summary	summary	NOUN
ejpam-5707	44	3	,	,	PUNCT
ejpam-5707	44	4	cnn	cnn	PROPN
ejpam-5707	44	5	can	can	AUX
ejpam-5707	44	6	be	be	AUX
ejpam-5707	44	7	configured	configure	VERB
ejpam-5707	44	8	using	use	VERB
ejpam-5707	44	9	a	a	DET
ejpam-5707	44	10	single	single	ADJ
ejpam-5707	44	11	task	task	NOUN
ejpam-5707	44	12	,	,	PUNCT
ejpam-5707	44	13	generalized67	generalized67	NOUN
ejpam-5707	44	14	convolution	convolution	NOUN
ejpam-5707	44	15	,	,	PUNCT
ejpam-5707	44	16	departing	depart	VERB
ejpam-5707	44	17	from	from	ADP
ejpam-5707	44	18	the	the	DET
ejpam-5707	44	19	traditional	traditional	ADJ
ejpam-5707	44	20	approach	approach	NOUN
ejpam-5707	44	21	that	that	PRON
ejpam-5707	44	22	treats	treat	VERB
ejpam-5707	44	23	convolution	convolution	NOUN
ejpam-5707	44	24	and	and	CCONJ
ejpam-5707	44	25	pooling68	pooling68	NOUN
ejpam-5707	44	26	as	as	ADP
ejpam-5707	44	27	separate	separate	ADJ
ejpam-5707	44	28	tasks.69	tasks.69	NOUN
ejpam-5707	44	29	comparison	comparison	NOUN
ejpam-5707	44	30	of	of	ADP
ejpam-5707	44	31	generalized	generalized	ADJ
ejpam-5707	44	32	cnn	cnn	PROPN
ejpam-5707	44	33	algorithm	algorithm	NOUN
ejpam-5707	44	34	and	and	CCONJ
ejpam-5707	44	35	existing	exist	VERB
ejpam-5707	44	36	cnn	cnn	PROPN
ejpam-5707	44	37	algorithm70	algorithm70	PROPN
ejpam-5707	44	38	a.	a.	PROPN
ejpam-5707	45	1	existing	exist	VERB
ejpam-5707	45	2	cnn	cnn	PROPN
ejpam-5707	45	3	algorithm71	algorithm71	NOUN
ejpam-5707	45	4	(	(	PUNCT
ejpam-5707	45	5	1	1	NUM
ejpam-5707	45	6	)	)	PUNCT
ejpam-5707	45	7	input72	input72	NOUN
ejpam-5707	45	8	(	(	PUNCT
ejpam-5707	45	9	2	2	NUM
ejpam-5707	45	10	)	)	PUNCT
ejpam-5707	45	11	convolution73	convolution73	NOUN
ejpam-5707	45	12	(	(	PUNCT
ejpam-5707	45	13	3	3	NUM
ejpam-5707	45	14	)	)	PUNCT
ejpam-5707	45	15	pooling74	pooling74	NOUN
ejpam-5707	45	16	(	(	PUNCT
ejpam-5707	45	17	4	4	X
ejpam-5707	45	18	)	)	PUNCT
ejpam-5707	45	19	repeat	repeat	NOUN
ejpam-5707	45	20	(	(	PUNCT
ejpam-5707	45	21	2	2	NUM
ejpam-5707	45	22	)	)	PUNCT
ejpam-5707	45	23	and	and	CCONJ
ejpam-5707	45	24	(	(	PUNCT
ejpam-5707	45	25	3	3	X
ejpam-5707	45	26	)	)	PUNCT
ejpam-5707	45	27	until	until	SCONJ
ejpam-5707	45	28	the	the	DET
ejpam-5707	45	29	desired	desire	VERB
ejpam-5707	45	30	output	output	NOUN
ejpam-5707	45	31	is	be	AUX
ejpam-5707	45	32	obtained.75	obtained.75	ADJ
ejpam-5707	45	33	(	(	PUNCT
ejpam-5707	45	34	5	5	NUM
ejpam-5707	45	35	)	)	PUNCT
ejpam-5707	45	36	output76	output76	PROPN
ejpam-5707	45	37	b.	b.	PROPN
ejpam-5707	46	1	generalized	generalized	PROPN
ejpam-5707	46	2	cnn	cnn	PROPN
ejpam-5707	46	3	algorithm77	algorithm77	PROPN
ejpam-5707	46	4	(	(	PUNCT
ejpam-5707	46	5	1	1	NUM
ejpam-5707	46	6	)	)	PUNCT
ejpam-5707	46	7	input78	input78	NOUN
ejpam-5707	46	8	(	(	PUNCT
ejpam-5707	46	9	2	2	NUM
ejpam-5707	46	10	)	)	PUNCT
ejpam-5707	46	11	generalized	generalized	ADJ
ejpam-5707	46	12	convolution79	convolution79	NOUN
ejpam-5707	46	13	(	(	PUNCT
ejpam-5707	46	14	3	3	X
ejpam-5707	46	15	)	)	PUNCT
ejpam-5707	46	16	repeat	repeat	NOUN
ejpam-5707	46	17	(	(	PUNCT
ejpam-5707	46	18	2	2	NUM
ejpam-5707	46	19	)	)	PUNCT
ejpam-5707	46	20	until	until	SCONJ
ejpam-5707	46	21	the	the	DET
ejpam-5707	46	22	desired	desire	VERB
ejpam-5707	46	23	output	output	NOUN
ejpam-5707	46	24	is	be	AUX
ejpam-5707	46	25	obtained.80	obtained.80	NOUN
ejpam-5707	46	26	(	(	PUNCT
ejpam-5707	46	27	4	4	NUM
ejpam-5707	46	28	)	)	PUNCT
ejpam-5707	46	29	output81	output81	NOUN
ejpam-5707	46	30	in	in	ADP
ejpam-5707	46	31	this	this	DET
ejpam-5707	46	32	deep	deep	ADJ
ejpam-5707	46	33	learning	learning	NOUN
ejpam-5707	46	34	method	method	NOUN
ejpam-5707	46	35	,	,	PUNCT
ejpam-5707	46	36	generalized	generalized	ADJ
ejpam-5707	46	37	convolution	convolution	NOUN
ejpam-5707	46	38	applies	apply	VERB
ejpam-5707	46	39	convolution	convolution	NOUN
ejpam-5707	46	40	only	only	ADV
ejpam-5707	46	41	to	to	ADP
ejpam-5707	46	42	spe-82	spe-82	NUM
ejpam-5707	46	43	cific	cific	NOUN
ejpam-5707	46	44	nodes	node	NOUN
ejpam-5707	46	45	and	and	CCONJ
ejpam-5707	46	46	does	do	AUX
ejpam-5707	46	47	not	not	PART
ejpam-5707	46	48	require	require	VERB
ejpam-5707	46	49	pooling	pool	VERB
ejpam-5707	46	50	work	work	NOUN
ejpam-5707	46	51	.	.	PUNCT
ejpam-5707	47	1	this	this	PRON
ejpam-5707	47	2	is	be	AUX
ejpam-5707	47	3	similar	similar	ADJ
ejpam-5707	47	4	to	to	ADP
ejpam-5707	47	5	cnn	cnn	PROPN
ejpam-5707	47	6	applying	apply	VERB
ejpam-5707	47	7	only	only	ADV
ejpam-5707	47	8	to83	to83	PROPN
ejpam-5707	47	9	specific	specific	ADJ
ejpam-5707	47	10	nodes	node	NOUN
ejpam-5707	47	11	of	of	ADP
ejpam-5707	47	12	the	the	DET
ejpam-5707	47	13	given	give	VERB
ejpam-5707	47	14	image.84	image.84	ADV
ejpam-5707	47	15	example	example	NOUN
ejpam-5707	47	16	.	.	PUNCT
ejpam-5707	48	1	(	(	PUNCT
ejpam-5707	48	2	generalized	generalized	ADJ
ejpam-5707	48	3	convolution	convolution	NOUN
ejpam-5707	48	4	that	that	PRON
ejpam-5707	48	5	greatly	greatly	ADV
ejpam-5707	48	6	reduces	reduce	VERB
ejpam-5707	48	7	computations	computation	NOUN
ejpam-5707	48	8	)	)	PUNCT
ejpam-5707	48	9	when	when	SCONJ
ejpam-5707	48	10	the	the	DET
ejpam-5707	48	11	original	original	ADJ
ejpam-5707	48	12	image	image	NOUN
ejpam-5707	48	13	is	be	AUX
ejpam-5707	48	14			NOUN
ejpam-5707	48	15	1	1	NUM
ejpam-5707	48	16	1	1	NUM
ejpam-5707	48	17	1	1	NUM
ejpam-5707	48	18	0	0	NUM
ejpam-5707	48	19	0	0	NUM
ejpam-5707	48	20	0	0	NUM
ejpam-5707	48	21	1	1	NUM
ejpam-5707	48	22	1	1	NUM
ejpam-5707	48	23	1	1	NUM
ejpam-5707	48	24	0	0	NUM
ejpam-5707	48	25	2	2	NUM
ejpam-5707	48	26	0	0	NUM
ejpam-5707	48	27	1	1	NUM
ejpam-5707	48	28	1	1	NUM
ejpam-5707	48	29	1	1	NUM
ejpam-5707	48	30	0	0	NUM
ejpam-5707	48	31	0	0	NUM
ejpam-5707	48	32	1	1	NUM
ejpam-5707	48	33	1	1	NUM
ejpam-5707	48	34	0	0	NUM
ejpam-5707	48	35	0	0	NUM
ejpam-5707	48	36	1	1	NUM
ejpam-5707	48	37	1	1	NUM
ejpam-5707	48	38	0	0	NUM
ejpam-5707	48	39	0	0	NUM
ejpam-5707	48	40			NOUN
ejpam-5707	48	41	,	,	PUNCT
ejpam-5707	48	42	h.	h.	PROPN
ejpam-5707	48	43	kim	kim	PROPN
ejpam-5707	48	44	et	et	PROPN
ejpam-5707	48	45	al	al	PROPN
ejpam-5707	48	46	.	.	PUNCT
ejpam-5707	48	47	/	/	SYM
ejpam-5707	48	48	eur	eur	PROPN
ejpam-5707	48	49	.	.	PUNCT
ejpam-5707	49	1	j.	j.	PROPN
ejpam-5707	49	2	pure	pure	PROPN
ejpam-5707	49	3	appl	appl	PROPN
ejpam-5707	49	4	.	.	PROPN
ejpam-5707	49	5	math	math	PROPN
ejpam-5707	49	6	,	,	PUNCT
ejpam-5707	49	7	18	18	NUM
ejpam-5707	49	8	(	(	PUNCT
ejpam-5707	49	9	1	1	NUM
ejpam-5707	49	10	)	)	PUNCT
ejpam-5707	49	11	(	(	PUNCT
ejpam-5707	49	12	2025	2025	NUM
ejpam-5707	49	13	)	)	PUNCT
ejpam-5707	49	14	,	,	PUNCT
ejpam-5707	49	15	5707	5707	NUM
ejpam-5707	49	16	4	4	NUM
ejpam-5707	49	17	of	of	ADP
ejpam-5707	49	18	6	6	NUM
ejpam-5707	49	19	the	the	DET
ejpam-5707	49	20	convolved	convolve	VERB
ejpam-5707	49	21	feature	feature	NOUN
ejpam-5707	49	22	map	map	NOUN
ejpam-5707	49	23	is	be	AUX
ejpam-5707	49	24	6	6	NOUN
ejpam-5707	49	25	3	3	NUM
ejpam-5707	49	26	4	4	NUM
ejpam-5707	49	27	2	2	NUM
ejpam-5707	49	28	4	4	NUM
ejpam-5707	49	29	3	3	NUM
ejpam-5707	49	30	4	4	NUM
ejpam-5707	49	31	3	3	NUM
ejpam-5707	49	32	4	4	NUM
ejpam-5707	49	33			PROPN
ejpam-5707	49	34	for	for	ADP
ejpam-5707	49	35	stride	stride	NOUN
ejpam-5707	49	36	1	1	NUM
ejpam-5707	49	37	,	,	PUNCT
ejpam-5707	49	38	where	where	SCONJ
ejpam-5707	49	39	the	the	DET
ejpam-5707	49	40	kernel	kernel	NOUN
ejpam-5707	49	41	is	be	AUX
ejpam-5707	49	42	1	1	NUM
ejpam-5707	49	43	0	0	NUM
ejpam-5707	49	44	1	1	NUM
ejpam-5707	49	45	0	0	NUM
ejpam-5707	49	46	1	1	NUM
ejpam-5707	49	47	0	0	NUM
ejpam-5707	49	48	1	1	NUM
ejpam-5707	49	49	0	0	NUM
ejpam-5707	49	50	1	1	NUM
ejpam-5707	49	51			PROPN
ejpam-5707	49	52	.	.	PUNCT
ejpam-5707	50	1	then	then	ADV
ejpam-5707	50	2	if	if	SCONJ
ejpam-5707	50	3	we	we	PRON
ejpam-5707	50	4	do	do	VERB
ejpam-5707	50	5	the	the	DET
ejpam-5707	50	6	max	max	PROPN
ejpam-5707	50	7	-	-	PUNCT
ejpam-5707	50	8	pooling	pool	VERB
ejpam-5707	50	9	operation	operation	NOUN
ejpam-5707	50	10	here	here	ADV
ejpam-5707	50	11	,	,	PUNCT
ejpam-5707	50	12	we	we	PRON
ejpam-5707	50	13	get	get	VERB
ejpam-5707	50	14	6	6	NUM
ejpam-5707	50	15	.	.	PUNCT
ejpam-5707	51	1	note	note	VERB
ejpam-5707	51	2	that	that	SCONJ
ejpam-5707	51	3	the	the	DET
ejpam-5707	51	4	convolution	convolution	NOUN
ejpam-5707	51	5	operation	operation	NOUN
ejpam-5707	51	6	is	be	AUX
ejpam-5707	51	7	used	use	VERB
ejpam-5707	51	8	9	9	NUM
ejpam-5707	51	9	times	time	NOUN
ejpam-5707	51	10	here	here	ADV
ejpam-5707	51	11	.	.	PUNCT
ejpam-5707	52	1	if	if	SCONJ
ejpam-5707	52	2	ss	ss	NOUN
ejpam-5707	52	3	=	=	NOUN
ejpam-5707	52	4	2	2	NUM
ejpam-5707	52	5	,	,	PUNCT
ejpam-5707	52	6	the	the	DET
ejpam-5707	52	7	convolved	convolve	VERB
ejpam-5707	52	8	feature	feature	NOUN
ejpam-5707	52	9	map	map	NOUN
ejpam-5707	52	10	changes	change	NOUN
ejpam-5707	52	11	to	to	ADP
ejpam-5707	52	12	(	(	PUNCT
ejpam-5707	52	13	6	6	NUM
ejpam-5707	52	14	4	4	NUM
ejpam-5707	52	15	4	4	NUM
ejpam-5707	52	16	4	4	NUM
ejpam-5707	52	17	)	)	PUNCT
ejpam-5707	52	18	.	.	PUNCT
ejpam-5707	53	1	of	of	ADP
ejpam-5707	53	2	course	course	ADV
ejpam-5707	53	3	,	,	PUNCT
ejpam-5707	53	4	we	we	PRON
ejpam-5707	53	5	get	get	VERB
ejpam-5707	53	6	6	6	NUM
ejpam-5707	53	7	after	after	ADP
ejpam-5707	53	8	max	max	PROPN
ejpam-5707	53	9	-	-	PUNCT
ejpam-5707	53	10	pooling	pooling	NOUN
ejpam-5707	53	11	,	,	PUNCT
ejpam-5707	53	12	where	where	SCONJ
ejpam-5707	53	13	the	the	DET
ejpam-5707	53	14	calculation	calculation	NOUN
ejpam-5707	53	15	of	of	ADP
ejpam-5707	53	16	convolution	convolution	NOUN
ejpam-5707	53	17	is	be	AUX
ejpam-5707	53	18	used	use	VERB
ejpam-5707	53	19	4	4	NUM
ejpam-5707	53	20	times.85	times.85	NOUN
ejpam-5707	53	21	86	86	NUM
ejpam-5707	53	22	next	next	ADV
ejpam-5707	53	23	,	,	PUNCT
ejpam-5707	53	24	let	let	VERB
ejpam-5707	53	25	us	we	PRON
ejpam-5707	53	26	consider	consider	VERB
ejpam-5707	53	27	the	the	DET
ejpam-5707	53	28	generalized	generalized	ADJ
ejpam-5707	53	29	convolution	convolution	NOUN
ejpam-5707	53	30	.	.	PUNCT
ejpam-5707	54	1	the	the	DET
ejpam-5707	54	2	matrix	matrix	NOUN
ejpam-5707	54	3	from	from	ADP
ejpam-5707	54	4	which	which	PRON
ejpam-5707	54	5	the	the	DET
ejpam-5707	54	6	largest87	largest87	ADJ
ejpam-5707	54	7	component	component	NOUN
ejpam-5707	54	8	can	can	AUX
ejpam-5707	54	9	be	be	AUX
ejpam-5707	54	10	obtained	obtain	VERB
ejpam-5707	54	11	is	be	AUX
ejpam-5707	54	12	the	the	DET
ejpam-5707	54	13	first	first	ADJ
ejpam-5707	54	14	3	3	NUM
ejpam-5707	54	15	by	by	ADP
ejpam-5707	54	16	3	3	NUM
ejpam-5707	54	17	matrix	matrix	NOUN
ejpam-5707	54	18	.	.	PUNCT
ejpam-5707	55	1	as	as	ADP
ejpam-5707	55	2	a	a	DET
ejpam-5707	55	3	result	result	NOUN
ejpam-5707	55	4	of	of	ADP
ejpam-5707	55	5	convolution	convolution	NOUN
ejpam-5707	55	6	,	,	PUNCT
ejpam-5707	55	7	we	we	PRON
ejpam-5707	55	8	get88	get88	PROPN
ejpam-5707	55	9	6	6	NUM
ejpam-5707	55	10	.	.	PUNCT
ejpam-5707	56	1	this	this	PRON
ejpam-5707	56	2	is	be	AUX
ejpam-5707	56	3	the	the	DET
ejpam-5707	56	4	same	same	ADJ
ejpam-5707	56	5	as	as	ADP
ejpam-5707	56	6	the	the	DET
ejpam-5707	56	7	above	above	ADJ
ejpam-5707	56	8	result	result	NOUN
ejpam-5707	56	9	.	.	PUNCT
ejpam-5707	57	1	here	here	ADV
ejpam-5707	57	2	,	,	PUNCT
ejpam-5707	57	3	note	note	VERB
ejpam-5707	57	4	that	that	SCONJ
ejpam-5707	57	5	the	the	DET
ejpam-5707	57	6	convolution	convolution	NOUN
ejpam-5707	57	7	operation	operation	NOUN
ejpam-5707	57	8	was89	was89	PROPN
ejpam-5707	57	9	performed	perform	VERB
ejpam-5707	57	10	only	only	ADV
ejpam-5707	57	11	once	once	ADV
ejpam-5707	57	12	and	and	CCONJ
ejpam-5707	57	13	the	the	DET
ejpam-5707	57	14	pooling	pooling	NOUN
ejpam-5707	57	15	operation	operation	NOUN
ejpam-5707	57	16	was	be	AUX
ejpam-5707	57	17	not	not	PART
ejpam-5707	57	18	performed	perform	VERB
ejpam-5707	57	19	.	.	PUNCT
ejpam-5707	58	1	as	as	SCONJ
ejpam-5707	58	2	seen	see	VERB
ejpam-5707	58	3	above	above	ADV
ejpam-5707	58	4	,	,	PUNCT
ejpam-5707	58	5	the90	the90	ADJ
ejpam-5707	58	6	generalized	generalized	ADJ
ejpam-5707	58	7	convolution	convolution	NOUN
ejpam-5707	58	8	becomes	become	VERB
ejpam-5707	58	9	more	more	ADV
ejpam-5707	58	10	effective	effective	ADJ
ejpam-5707	58	11	as	as	ADP
ejpam-5707	58	12	the	the	DET
ejpam-5707	58	13	size	size	NOUN
ejpam-5707	58	14	of	of	ADP
ejpam-5707	58	15	the	the	DET
ejpam-5707	58	16	kernel	kernel	PROPN
ejpam-5707	58	17	matrix	matrix	NOUN
ejpam-5707	58	18	increases.91	increases.91	NOUN
ejpam-5707	58	19	it	it	PRON
ejpam-5707	58	20	is	be	AUX
ejpam-5707	58	21	only	only	ADV
ejpam-5707	58	22	an	an	DET
ejpam-5707	58	23	estimate	estimate	NOUN
ejpam-5707	58	24	from	from	ADP
ejpam-5707	58	25	which	which	DET
ejpam-5707	58	26	matrix	matrix	NOUN
ejpam-5707	58	27	can	can	AUX
ejpam-5707	58	28	be	be	AUX
ejpam-5707	58	29	obtained	obtain	VERB
ejpam-5707	58	30	the	the	DET
ejpam-5707	58	31	largest	large	ADJ
ejpam-5707	58	32	component	component	NOUN
ejpam-5707	58	33	.	.	PUNCT
ejpam-5707	58	34	this92	this92	NOUN
ejpam-5707	58	35	estimate	estimate	NOUN
ejpam-5707	58	36	is	be	AUX
ejpam-5707	58	37	not	not	PART
ejpam-5707	58	38	necessarily	necessarily	ADV
ejpam-5707	58	39	accurate	accurate	ADJ
ejpam-5707	58	40	.	.	PUNCT
ejpam-5707	59	1	even	even	ADV
ejpam-5707	59	2	a	a	DET
ejpam-5707	59	3	slight	slight	ADJ
ejpam-5707	59	4	error	error	NOUN
ejpam-5707	59	5	will	will	AUX
ejpam-5707	59	6	only	only	ADV
ejpam-5707	59	7	bring	bring	VERB
ejpam-5707	59	8	about	about	ADP
ejpam-5707	59	9	a	a	DET
ejpam-5707	59	10	slight93	slight93	ADJ
ejpam-5707	59	11	difference	difference	NOUN
ejpam-5707	59	12	in	in	ADP
ejpam-5707	59	13	resolution	resolution	NOUN
ejpam-5707	59	14	.	.	PUNCT
ejpam-5707	60	1	after	after	ADP
ejpam-5707	60	2	choosing	choose	VERB
ejpam-5707	60	3	a	a	DET
ejpam-5707	60	4	matrix	matrix	NOUN
ejpam-5707	60	5	with	with	ADP
ejpam-5707	60	6	large	large	ADJ
ejpam-5707	60	7	components	component	NOUN
ejpam-5707	60	8	,	,	PUNCT
ejpam-5707	60	9	we	we	PRON
ejpam-5707	60	10	just	just	ADV
ejpam-5707	60	11	need	need	VERB
ejpam-5707	60	12	to94	to94	PROPN
ejpam-5707	60	13	find	find	VERB
ejpam-5707	60	14	the	the	DET
ejpam-5707	60	15	convolution	convolution	NOUN
ejpam-5707	60	16	.	.	PUNCT
ejpam-5707	61	1	when	when	SCONJ
ejpam-5707	61	2	the	the	DET
ejpam-5707	61	3	number	number	NOUN
ejpam-5707	61	4	of	of	ADP
ejpam-5707	61	5	channels	channel	NOUN
ejpam-5707	61	6	is	be	AUX
ejpam-5707	61	7	multiple	multiple	ADJ
ejpam-5707	61	8	,	,	PUNCT
ejpam-5707	61	9	the	the	DET
ejpam-5707	61	10	final	final	ADJ
ejpam-5707	61	11	feature	feature	NOUN
ejpam-5707	61	12	map	map	NOUN
ejpam-5707	61	13	can95	can95	PROPN
ejpam-5707	61	14	be	be	AUX
ejpam-5707	61	15	obtained	obtain	VERB
ejpam-5707	61	16	by	by	ADP
ejpam-5707	61	17	array	array	NOUN
ejpam-5707	61	18	addition	addition	NOUN
ejpam-5707	61	19	of	of	ADP
ejpam-5707	61	20	feature	feature	NOUN
ejpam-5707	61	21	maps	map	NOUN
ejpam-5707	61	22	obtained	obtain	VERB
ejpam-5707	61	23	from	from	ADP
ejpam-5707	61	24	each	each	DET
ejpam-5707	61	25	channel.96	channel.96	NOUN
ejpam-5707	61	26	example	example	NOUN
ejpam-5707	61	27	.	.	PUNCT
ejpam-5707	62	1	consider	consider	VERB
ejpam-5707	62	2	the	the	DET
ejpam-5707	62	3	following	follow	VERB
ejpam-5707	62	4	image	image	NOUN
ejpam-5707	62	5	1	1	NUM
ejpam-5707	62	6	1	1	NUM
ejpam-5707	62	7	1	1	NUM
ejpam-5707	62	8	0	0	NUM
ejpam-5707	62	9	0	0	NUM
ejpam-5707	62	10	1	1	NUM
ejpam-5707	62	11	1	1	NUM
ejpam-5707	62	12	1	1	NUM
ejpam-5707	62	13	0	0	NUM
ejpam-5707	62	14	0	0	NUM
ejpam-5707	62	15	0	0	NUM
ejpam-5707	62	16	1	1	NUM
ejpam-5707	62	17	1	1	NUM
ejpam-5707	62	18	1	1	NUM
ejpam-5707	62	19	0	0	NUM
ejpam-5707	62	20	1	1	NUM
ejpam-5707	62	21	1	1	NUM
ejpam-5707	62	22	1	1	NUM
ejpam-5707	62	23	0	0	NUM
ejpam-5707	62	24	0	0	NUM
ejpam-5707	62	25	2	2	NUM
ejpam-5707	62	26	0	0	NUM
ejpam-5707	62	27	1	1	NUM
ejpam-5707	62	28	1	1	NUM
ejpam-5707	62	29	1	1	NUM
ejpam-5707	62	30	1	1	NUM
ejpam-5707	62	31	1	1	NUM
ejpam-5707	62	32	1	1	NUM
ejpam-5707	62	33	0	0	NUM
ejpam-5707	62	34	0	0	NUM
ejpam-5707	62	35	0	0	NUM
ejpam-5707	62	36	0	0	NUM
ejpam-5707	62	37	1	1	NUM
ejpam-5707	62	38	1	1	NUM
ejpam-5707	62	39	0	0	NUM
ejpam-5707	62	40	0	0	NUM
ejpam-5707	62	41	0	0	NUM
ejpam-5707	62	42	1	1	NUM
ejpam-5707	62	43	1	1	NUM
ejpam-5707	62	44	1	1	NUM
ejpam-5707	62	45	0	0	NUM
ejpam-5707	62	46	1	1	NUM
ejpam-5707	62	47	1	1	NUM
ejpam-5707	62	48	0	0	NUM
ejpam-5707	62	49	0	0	NUM
ejpam-5707	62	50	1	1	NUM
ejpam-5707	62	51	1	1	NUM
ejpam-5707	62	52	1	1	NUM
ejpam-5707	62	53	0	0	NUM
ejpam-5707	62	54	0	0	NUM
ejpam-5707	62	55	0	0	NUM
ejpam-5707	62	56	0	0	NUM
ejpam-5707	62	57	1	1	NUM
ejpam-5707	62	58	1	1	NUM
ejpam-5707	62	59	1	1	NUM
ejpam-5707	62	60	1	1	NUM
ejpam-5707	62	61	1	1	NUM
ejpam-5707	62	62	1	1	NUM
ejpam-5707	62	63	0	0	NUM
ejpam-5707	62	64	0	0	NUM
ejpam-5707	62	65	0	0	NUM
ejpam-5707	62	66	1	1	NUM
ejpam-5707	62	67	1	1	NUM
ejpam-5707	62	68	1	1	NUM
ejpam-5707	62	69	0	0	NUM
ejpam-5707	62	70	1	1	NUM
ejpam-5707	62	71	4	4	NUM
ejpam-5707	62	72	1	1	NUM
ejpam-5707	62	73	0	0	NUM
ejpam-5707	62	74	0	0	NUM
ejpam-5707	62	75	2	2	NUM
ejpam-5707	62	76	0	0	NUM
ejpam-5707	62	77	1	1	NUM
ejpam-5707	62	78	1	1	NUM
ejpam-5707	62	79	1	1	NUM
ejpam-5707	62	80	1	1	NUM
ejpam-5707	62	81	1	1	NUM
ejpam-5707	62	82	1	1	NUM
ejpam-5707	62	83	0	0	NUM
ejpam-5707	62	84	0	0	NUM
ejpam-5707	62	85	0	0	NUM
ejpam-5707	62	86	0	0	NUM
ejpam-5707	62	87	1	1	NUM
ejpam-5707	62	88	1	1	NUM
ejpam-5707	62	89	3	3	NUM
ejpam-5707	62	90	1	1	NUM
ejpam-5707	62	91	1	1	NUM
ejpam-5707	62	92	1	1	NUM
ejpam-5707	62	93	0	0	NUM
ejpam-5707	62	94	0	0	NUM
ejpam-5707	62	95	0	0	NUM
ejpam-5707	62	96	1	1	NUM
ejpam-5707	62	97	1	1	NUM
ejpam-5707	62	98	0	0	NUM
ejpam-5707	62	99	0	0	NUM
ejpam-5707	62	100	1	1	NUM
ejpam-5707	62	101	1	1	NUM
ejpam-5707	62	102	1	1	NUM
ejpam-5707	62	103	0	0	NUM
ejpam-5707	62	104	0	0	NUM
ejpam-5707	62	105			PROPN
ejpam-5707	62	106	,	,	PUNCT
ejpam-5707	62	107	h.	h.	PROPN
ejpam-5707	62	108	kim	kim	PROPN
ejpam-5707	62	109	et	et	PROPN
ejpam-5707	62	110	al	al	PROPN
ejpam-5707	62	111	.	.	PUNCT
ejpam-5707	62	112	/	/	SYM
ejpam-5707	62	113	eur	eur	PROPN
ejpam-5707	62	114	.	.	PUNCT
ejpam-5707	63	1	j.	j.	PROPN
ejpam-5707	63	2	pure	pure	PROPN
ejpam-5707	63	3	appl	appl	PROPN
ejpam-5707	63	4	.	.	PROPN
ejpam-5707	63	5	math	math	PROPN
ejpam-5707	63	6	,	,	PUNCT
ejpam-5707	63	7	18	18	NUM
ejpam-5707	63	8	(	(	PUNCT
ejpam-5707	63	9	1	1	NUM
ejpam-5707	63	10	)	)	PUNCT
ejpam-5707	63	11	(	(	PUNCT
ejpam-5707	63	12	2025	2025	NUM
ejpam-5707	63	13	)	)	PUNCT
ejpam-5707	63	14	,	,	PUNCT
ejpam-5707	63	15	5707	5707	NUM
ejpam-5707	63	16	5	5	NUM
ejpam-5707	63	17	of	of	ADP
ejpam-5707	63	18	6	6	NUM
ejpam-5707	63	19	and	and	CCONJ
ejpam-5707	63	20	let	let	VERB
ejpam-5707	63	21	us	we	PRON
ejpam-5707	63	22	ss	ss	VERB
ejpam-5707	63	23	=	=	NOUN
ejpam-5707	64	1	1	1	X
ejpam-5707	64	2	.	.	PUNCT
ejpam-5707	64	3	applying	apply	VERB
ejpam-5707	64	4	the	the	DET
ejpam-5707	64	5	given	give	VERB
ejpam-5707	64	6	kernel	kernel	PROPN
ejpam-5707	64	7	matrix	matrix	NOUN
ejpam-5707	64	8	1	1	NUM
ejpam-5707	64	9	1	1	NUM
ejpam-5707	64	10	1	1	NUM
ejpam-5707	64	11	0	0	NUM
ejpam-5707	64	12	0	0	NUM
ejpam-5707	64	13	0	0	NUM
ejpam-5707	64	14	1	1	NUM
ejpam-5707	64	15	1	1	NUM
ejpam-5707	64	16	1	1	NUM
ejpam-5707	64	17	0	0	NUM
ejpam-5707	64	18	2	2	NUM
ejpam-5707	64	19	0	0	NUM
ejpam-5707	64	20	1	1	NUM
ejpam-5707	64	21	1	1	NUM
ejpam-5707	64	22	1	1	NUM
ejpam-5707	64	23	0	0	NUM
ejpam-5707	64	24	0	0	NUM
ejpam-5707	64	25	1	1	NUM
ejpam-5707	64	26	1	1	NUM
ejpam-5707	64	27	0	0	NUM
ejpam-5707	64	28	0	0	NUM
ejpam-5707	64	29	1	1	NUM
ejpam-5707	64	30	1	1	NUM
ejpam-5707	64	31	0	0	NUM
ejpam-5707	64	32	0	0	NUM
ejpam-5707	64	33			NOUN
ejpam-5707	64	34	,	,	PUNCT
ejpam-5707	64	35	we	we	PRON
ejpam-5707	64	36	get	get	VERB
ejpam-5707	64	37	the	the	DET
ejpam-5707	64	38	feature	feature	NOUN
ejpam-5707	64	39	map	map	NOUN
ejpam-5707	64	40			NOUN
ejpam-5707	64	41	17	17	NUM
ejpam-5707	64	42	9	9	NUM
ejpam-5707	64	43	8	8	NUM
ejpam-5707	64	44	9	9	NUM
ejpam-5707	64	45	12	12	NUM
ejpam-5707	64	46	12	12	NUM
ejpam-5707	64	47	9	9	NUM
ejpam-5707	64	48	9	9	NUM
ejpam-5707	64	49	10	10	NUM
ejpam-5707	64	50	12	12	NUM
ejpam-5707	64	51	11	11	NUM
ejpam-5707	64	52	11	11	NUM
ejpam-5707	64	53	10	10	NUM
ejpam-5707	64	54	9	9	NUM
ejpam-5707	64	55	11	11	NUM
ejpam-5707	64	56	15	15	NUM
ejpam-5707	64	57	14	14	NUM
ejpam-5707	64	58	9	9	NUM
ejpam-5707	64	59	10	10	NUM
ejpam-5707	64	60	9	9	NUM
ejpam-5707	64	61	11	11	NUM
ejpam-5707	64	62	12	12	NUM
ejpam-5707	64	63	14	14	NUM
ejpam-5707	64	64	9	9	NUM
ejpam-5707	64	65	10	10	NUM
ejpam-5707	64	66	13	13	NUM
ejpam-5707	64	67	17	17	NUM
ejpam-5707	64	68	18	18	NUM
ejpam-5707	64	69	14	14	NUM
ejpam-5707	64	70	11	11	NUM
ejpam-5707	64	71	15	15	NUM
ejpam-5707	64	72	12	12	NUM
ejpam-5707	64	73	14	14	NUM
ejpam-5707	64	74	16	16	NUM
ejpam-5707	64	75	17	17	NUM
ejpam-5707	64	76	14	14	NUM
ejpam-5707	64	77			NOUN
ejpam-5707	64	78	.	.	PUNCT
ejpam-5707	65	1	applying	apply	VERB
ejpam-5707	65	2	max	max	PROPN
ejpam-5707	65	3	-	-	PUNCT
ejpam-5707	65	4	pooling	pooling	NOUN
ejpam-5707	65	5	here	here	ADV
ejpam-5707	65	6	,	,	PUNCT
ejpam-5707	65	7	we	we	PRON
ejpam-5707	65	8	get	get	VERB
ejpam-5707	65	9	18	18	NUM
ejpam-5707	65	10	for	for	ADP
ejpam-5707	65	11	sp	sp	ADP
ejpam-5707	65	12	=	=	NOUN
ejpam-5707	65	13	6	6	NUM
ejpam-5707	65	14	.	.	PUNCT
ejpam-5707	66	1	if	if	SCONJ
ejpam-5707	66	2	the	the	DET
ejpam-5707	66	3	sp	sp	NOUN
ejpam-5707	66	4	=	=	SYM
ejpam-5707	66	5	5	5	NUM
ejpam-5707	66	6	,	,	PUNCT
ejpam-5707	66	7	4	4	NUM
ejpam-5707	66	8	,	,	PUNCT
ejpam-5707	66	9	and	and	CCONJ
ejpam-5707	66	10	3	3	NUM
ejpam-5707	66	11	,	,	PUNCT
ejpam-5707	66	12	we	we	PRON
ejpam-5707	66	13	get	get	VERB
ejpam-5707	66	14	the	the	DET
ejpam-5707	66	15	matrices	matrix	NOUN
ejpam-5707	66	16	of	of	ADP
ejpam-5707	66	17	(	(	PUNCT
ejpam-5707	66	18	18	18	NUM
ejpam-5707	66	19	18	18	NUM
ejpam-5707	66	20	18	18	NUM
ejpam-5707	66	21	18	18	NUM
ejpam-5707	66	22	)	)	PUNCT
ejpam-5707	66	23	,	,	PUNCT
ejpam-5707	66	24	17	17	VERB
ejpam-5707	66	25	15	15	NUM
ejpam-5707	66	26	15	15	NUM
ejpam-5707	66	27	18	18	NUM
ejpam-5707	66	28	18	18	NUM
ejpam-5707	66	29	18	18	NUM
ejpam-5707	66	30	18	18	NUM
ejpam-5707	66	31	18	18	NUM
ejpam-5707	66	32	18	18	NUM
ejpam-5707	66	33			PROPN
ejpam-5707	66	34	,	,	PUNCT
ejpam-5707	66	35	and	and	CCONJ
ejpam-5707	66	36			NUM
ejpam-5707	66	37	17	17	NUM
ejpam-5707	66	38	15	15	NUM
ejpam-5707	66	39	15	15	NUM
ejpam-5707	66	40	15	15	NUM
ejpam-5707	66	41	11	11	NUM
ejpam-5707	66	42	15	15	NUM
ejpam-5707	66	43	15	15	NUM
ejpam-5707	66	44	15	15	NUM
ejpam-5707	66	45	17	17	NUM
ejpam-5707	66	46	18	18	NUM
ejpam-5707	66	47	18	18	NUM
ejpam-5707	66	48	18	18	NUM
ejpam-5707	66	49	17	17	NUM
ejpam-5707	66	50	18	18	NUM
ejpam-5707	66	51	18	18	NUM
ejpam-5707	66	52	18	18	NUM
ejpam-5707	66	53			NOUN
ejpam-5707	66	54	,	,	PUNCT
ejpam-5707	66	55	respectively	respectively	ADV
ejpam-5707	66	56	.	.	PUNCT
ejpam-5707	67	1	the	the	DET
ejpam-5707	67	2	convolution	convolution	NOUN
ejpam-5707	67	3	operation	operation	NOUN
ejpam-5707	67	4	was	be	AUX
ejpam-5707	67	5	used	use	VERB
ejpam-5707	67	6	6×	6×	NOUN
ejpam-5707	67	7	6	6	NUM
ejpam-5707	67	8	=	=	SYM
ejpam-5707	67	9	36	36	NUM
ejpam-5707	67	10	times.97	times.97	NOUN
ejpam-5707	67	11	in	in	ADP
ejpam-5707	67	12	order	order	NOUN
ejpam-5707	67	13	to	to	PART
ejpam-5707	67	14	apply	apply	VERB
ejpam-5707	67	15	the	the	DET
ejpam-5707	67	16	generalized	generalized	ADJ
ejpam-5707	67	17	convolution	convolution	NOUN
ejpam-5707	67	18	here	here	ADV
ejpam-5707	67	19	,	,	PUNCT
ejpam-5707	67	20	let	let	VERB
ejpam-5707	67	21	us	we	PRON
ejpam-5707	67	22	select	select	VERB
ejpam-5707	67	23	the	the	DET
ejpam-5707	67	24	following	follow	VERB
ejpam-5707	67	25	matrix:	matrix:	NOUN
ejpam-5707	67	26	1	1	NUM
ejpam-5707	67	27	0	0	NUM
ejpam-5707	67	28	0	0	NUM
ejpam-5707	67	29	1	1	NUM
ejpam-5707	67	30	1	1	NUM
ejpam-5707	67	31	1	1	NUM
ejpam-5707	67	32	1	1	NUM
ejpam-5707	67	33	1	1	NUM
ejpam-5707	67	34	1	1	NUM
ejpam-5707	67	35	1	1	NUM
ejpam-5707	67	36	1	1	NUM
ejpam-5707	67	37	1	1	NUM
ejpam-5707	67	38	0	0	NUM
ejpam-5707	67	39	1	1	NUM
ejpam-5707	67	40	4	4	NUM
ejpam-5707	67	41	1	1	NUM
ejpam-5707	67	42	1	1	NUM
ejpam-5707	67	43	1	1	NUM
ejpam-5707	67	44	1	1	NUM
ejpam-5707	67	45	1	1	NUM
ejpam-5707	67	46	1	1	NUM
ejpam-5707	67	47	1	1	NUM
ejpam-5707	67	48	3	3	NUM
ejpam-5707	67	49	1	1	NUM
ejpam-5707	67	50	1	1	NUM
ejpam-5707	67	51			NOUN
ejpam-5707	67	52	.	.	PUNCT
ejpam-5707	68	1	array	array	VERB
ejpam-5707	68	2	multiplication	multiplication	NOUN
ejpam-5707	68	3	of	of	ADP
ejpam-5707	68	4	the	the	DET
ejpam-5707	68	5	kernel	kernel	NOUN
ejpam-5707	68	6	matrix	matrix	NOUN
ejpam-5707	68	7	with	with	ADP
ejpam-5707	68	8	this	this	DET
ejpam-5707	68	9	matrix	matrix	NOUN
ejpam-5707	68	10	gives	give	VERB
ejpam-5707	68	11	17	17	NUM
ejpam-5707	68	12	.	.	PUNCT
ejpam-5707	69	1	this	this	PRON
ejpam-5707	69	2	is	be	AUX
ejpam-5707	69	3	slightly	slightly	ADV
ejpam-5707	69	4	different	different	ADJ
ejpam-5707	69	5	from	from	ADP
ejpam-5707	69	6	the	the	DET
ejpam-5707	69	7	result	result	NOUN
ejpam-5707	69	8	of	of	ADP
ejpam-5707	69	9	the	the	DET
ejpam-5707	69	10	traditional	traditional	ADJ
ejpam-5707	69	11	method	method	NOUN
ejpam-5707	69	12	,	,	PUNCT
ejpam-5707	69	13	which	which	PRON
ejpam-5707	69	14	is	be	AUX
ejpam-5707	69	15	18	18	NUM
ejpam-5707	69	16	.	.	PUNCT
ejpam-5707	70	1	however	however	ADV
ejpam-5707	70	2	,	,	PUNCT
ejpam-5707	70	3	as	as	SCONJ
ejpam-5707	70	4	mentioned	mention	VERB
ejpam-5707	70	5	earlier	early	ADV
ejpam-5707	70	6	,	,	PUNCT
ejpam-5707	70	7	this	this	DET
ejpam-5707	70	8	small	small	ADJ
ejpam-5707	70	9	difference	difference	NOUN
ejpam-5707	70	10	in	in	ADP
ejpam-5707	70	11	resolution	resolution	NOUN
ejpam-5707	70	12	can	can	AUX
ejpam-5707	70	13	be	be	AUX
ejpam-5707	70	14	safely	safely	ADV
ejpam-5707	70	15	ignored	ignore	VERB
ejpam-5707	70	16	.	.	PUNCT
ejpam-5707	71	1	if	if	SCONJ
ejpam-5707	71	2	ss	ss	NOUN
ejpam-5707	71	3	=	=	NOUN
ejpam-5707	71	4	2	2	NUM
ejpam-5707	71	5	,	,	PUNCT
ejpam-5707	71	6	the	the	DET
ejpam-5707	71	7	convolved	convolve	VERB
ejpam-5707	71	8	feature	feature	NOUN
ejpam-5707	71	9	map	map	NOUN
ejpam-5707	71	10	is	be	AUX
ejpam-5707	71	11	17	17	NUM
ejpam-5707	71	12	8	8	NUM
ejpam-5707	71	13	12	12	NUM
ejpam-5707	71	14	10	10	NUM
ejpam-5707	71	15	11	11	NUM
ejpam-5707	71	16	14	14	NUM
ejpam-5707	71	17	10	10	NUM
ejpam-5707	71	18	17	17	NUM
ejpam-5707	71	19	14	14	NUM
ejpam-5707	71	20			PROPN
ejpam-5707	71	21	.	.	PUNCT
ejpam-5707	72	1	h.	h.	PROPN
ejpam-5707	72	2	kim	kim	PROPN
ejpam-5707	72	3	et	et	PROPN
ejpam-5707	72	4	al	al	PROPN
ejpam-5707	72	5	.	.	PUNCT
ejpam-5707	72	6	/	/	SYM
ejpam-5707	72	7	eur	eur	PROPN
ejpam-5707	72	8	.	.	PUNCT
ejpam-5707	73	1	j.	j.	PROPN
ejpam-5707	73	2	pure	pure	PROPN
ejpam-5707	73	3	appl	appl	PROPN
ejpam-5707	73	4	.	.	PROPN
ejpam-5707	73	5	math	math	PROPN
ejpam-5707	73	6	,	,	PUNCT
ejpam-5707	73	7	18	18	NUM
ejpam-5707	73	8	(	(	PUNCT
ejpam-5707	73	9	1	1	NUM
ejpam-5707	73	10	)	)	PUNCT
ejpam-5707	73	11	(	(	PUNCT
ejpam-5707	73	12	2025	2025	NUM
ejpam-5707	73	13	)	)	PUNCT
ejpam-5707	73	14	,	,	PUNCT
ejpam-5707	73	15	5707	5707	NUM
ejpam-5707	73	16	6	6	NUM
ejpam-5707	73	17	of	of	ADP
ejpam-5707	73	18	6	6	NUM
ejpam-5707	73	19	the	the	DET
ejpam-5707	73	20	result	result	NOUN
ejpam-5707	73	21	of	of	ADP
ejpam-5707	73	22	max	max	PROPN
ejpam-5707	73	23	pooling	pooling	NOUN
ejpam-5707	73	24	is	be	AUX
ejpam-5707	73	25	17	17	NUM
ejpam-5707	73	26	.	.	PUNCT
ejpam-5707	74	1	here	here	ADV
ejpam-5707	74	2	convolution	convolution	NOUN
ejpam-5707	74	3	is	be	AUX
ejpam-5707	74	4	used	use	VERB
ejpam-5707	74	5	3	3	NUM
ejpam-5707	74	6	×	×	NOUN
ejpam-5707	74	7	3	3	NUM
ejpam-5707	74	8	=	=	SYM
ejpam-5707	74	9	9	9	NUM
ejpam-5707	74	10	times	time	NOUN
ejpam-5707	74	11	.	.	PUNCT
ejpam-5707	75	1	similarly	similarly	ADV
ejpam-5707	75	2	,	,	PUNCT
ejpam-5707	75	3	if98	if98	PROPN
ejpam-5707	75	4	the	the	DET
ejpam-5707	75	5	ss	ss	NOUN
ejpam-5707	76	1	=	=	NOUN
ejpam-5707	76	2	3	3	NUM
ejpam-5707	76	3	,	,	PUNCT
ejpam-5707	76	4	4	4	NUM
ejpam-5707	76	5	,	,	PUNCT
ejpam-5707	76	6	5	5	NUM
ejpam-5707	76	7	or	or	CCONJ
ejpam-5707	76	8	6	6	NUM
ejpam-5707	77	1	,	,	PUNCT
ejpam-5707	77	2	we	we	PRON
ejpam-5707	77	3	also	also	ADV
ejpam-5707	77	4	get	get	VERB
ejpam-5707	77	5	a	a	DET
ejpam-5707	77	6	result	result	NOUN
ejpam-5707	77	7	of	of	ADP
ejpam-5707	77	8	17.99	17.99	NUM
ejpam-5707	77	9	this	this	DET
ejpam-5707	77	10	approach	approach	NOUN
ejpam-5707	77	11	reduces	reduce	VERB
ejpam-5707	77	12	the	the	DET
ejpam-5707	77	13	computational	computational	ADJ
ejpam-5707	77	14	load	load	NOUN
ejpam-5707	77	15	by	by	ADP
ejpam-5707	77	16	m	m	PROPN
ejpam-5707	77	17	×	×	NOUN
ejpam-5707	77	18	2n	2n	NUM
ejpam-5707	77	19	in	in	ADP
ejpam-5707	77	20	deep	deep	ADJ
ejpam-5707	77	21	learning	learning	NOUN
ejpam-5707	77	22	,	,	PUNCT
ejpam-5707	77	23	where	where	SCONJ
ejpam-5707	77	24	m100	m100	PROPN
ejpam-5707	77	25	is	be	AUX
ejpam-5707	77	26	the	the	DET
ejpam-5707	77	27	number	number	NOUN
ejpam-5707	77	28	of	of	ADP
ejpam-5707	77	29	layers	layer	NOUN
ejpam-5707	77	30	and	and	CCONJ
ejpam-5707	77	31	n	n	PRON
ejpam-5707	77	32	is	be	AUX
ejpam-5707	77	33	the	the	DET
ejpam-5707	77	34	size	size	NOUN
ejpam-5707	77	35	of	of	ADP
ejpam-5707	77	36	the	the	DET
ejpam-5707	77	37	node	node	NOUN
ejpam-5707	77	38	.	.	PUNCT
ejpam-5707	78	1	this	this	DET
ejpam-5707	78	2	reduction	reduction	NOUN
ejpam-5707	78	3	helps	help	VERB
ejpam-5707	78	4	mitigate	mitigate	VERB
ejpam-5707	78	5	heat101	heat101	PROPN
ejpam-5707	78	6	generation.102	generation.102	PROPN
ejpam-5707	78	7	acknowledgements103	acknowledgements103	VERB
ejpam-5707	78	8	the	the	DET
ejpam-5707	78	9	first	first	ADJ
ejpam-5707	78	10	author	author	NOUN
ejpam-5707	78	11	(	(	PUNCT
ejpam-5707	78	12	hj	hj	PROPN
ejpam-5707	78	13	.	.	PUNCT
ejpam-5707	78	14	kim	kim	PROPN
ejpam-5707	78	15	)	)	PUNCT
ejpam-5707	78	16	acknowledges	acknowledge	VERB
ejpam-5707	78	17	the	the	DET
ejpam-5707	78	18	support	support	NOUN
ejpam-5707	78	19	of	of	ADP
ejpam-5707	78	20	kyungdong	kyungdong	PROPN
ejpam-5707	78	21	university	university	PROPN
ejpam-5707	78	22	re-104	re-104	PROPN
ejpam-5707	78	23	search	search	PROPN
ejpam-5707	78	24	fund	fund	NOUN
ejpam-5707	78	25	,	,	PUNCT
ejpam-5707	78	26	2024.105	2024.105	PROPN
ejpam-5707	78	27	references106	references106	X
ejpam-5707	79	1	[	[	X
ejpam-5707	79	2	1	1	X
ejpam-5707	79	3	]	]	X
ejpam-5707	79	4	silver	silver	PROPN
ejpam-5707	79	5	et	et	PROPN
ejpam-5707	79	6	.	.	PUNCT
ejpam-5707	80	1	al	al	PROPN
ejpam-5707	80	2	.	.	PROPN
ejpam-5707	81	1	mastering	master	VERB
ejpam-5707	81	2	the	the	DET
ejpam-5707	81	3	game	game	NOUN
ejpam-5707	81	4	of	of	ADP
ejpam-5707	81	5	go	go	NOUN
ejpam-5707	81	6	with	with	ADP
ejpam-5707	81	7	deep	deep	ADJ
ejpam-5707	81	8	neural	neural	ADJ
ejpam-5707	81	9	networks	network	NOUN
ejpam-5707	81	10	and	and	CCONJ
ejpam-5707	81	11	tree	tree	NOUN
ejpam-5707	81	12	search.107	search.107	PROPN
ejpam-5707	81	13	nature	nature	NOUN
ejpam-5707	81	14	,	,	PUNCT
ejpam-5707	81	15	529(7587):484–489	529(7587):484–489	NUM
ejpam-5707	81	16	,	,	PUNCT
ejpam-5707	81	17	2016.108	2016.108	NUM
ejpam-5707	81	18	[	[	SYM
ejpam-5707	81	19	2	2	NUM
ejpam-5707	81	20	]	]	PUNCT
ejpam-5707	81	21	young	young	ADJ
ejpam-5707	81	22	hee	hee	NOUN
ejpam-5707	81	23	geum	geum	NOUN
ejpam-5707	81	24	,	,	PUNCT
ejpam-5707	81	25	arjun	arjun	PROPN
ejpam-5707	81	26	kumar	kumar	PROPN
ejpam-5707	81	27	rathie	rathie	PROPN
ejpam-5707	81	28	,	,	PUNCT
ejpam-5707	81	29	and	and	CCONJ
ejpam-5707	81	30	hwajoon	hwajoon	PROPN
ejpam-5707	81	31	kim	kim	PROPN
ejpam-5707	81	32	.	.	PROPN
ejpam-5707	82	1	matrix	matrix	NOUN
ejpam-5707	82	2	expression	expression	NOUN
ejpam-5707	82	3	of109	of109	ADJ
ejpam-5707	82	4	convolution	convolution	NOUN
ejpam-5707	82	5	and	and	CCONJ
ejpam-5707	82	6	its	its	PRON
ejpam-5707	82	7	generalized	generalized	ADJ
ejpam-5707	82	8	continuous	continuous	ADJ
ejpam-5707	82	9	form	form	NOUN
ejpam-5707	82	10	.	.	PUNCT
ejpam-5707	83	1	symmetry	symmetry	NOUN
ejpam-5707	83	2	,	,	PUNCT
ejpam-5707	83	3	12(11):1791	12(11):1791	NUM
ejpam-5707	83	4	,	,	PUNCT
ejpam-5707	83	5	2020.110	2020.110	PROPN
ejpam-5707	83	6	[	[	X
ejpam-5707	83	7	3	3	NUM
ejpam-5707	83	8	]	]	X
ejpam-5707	83	9	daniel	daniel	PROPN
ejpam-5707	83	10	graupe	graupe	PROPN
ejpam-5707	83	11	.	.	PUNCT
ejpam-5707	84	1	deep	deep	ADJ
ejpam-5707	84	2	learning	learn	VERB
ejpam-5707	84	3	neural	neural	ADJ
ejpam-5707	84	4	networks	network	NOUN
ejpam-5707	84	5	:	:	PUNCT
ejpam-5707	84	6	design	design	NOUN
ejpam-5707	84	7	and	and	CCONJ
ejpam-5707	84	8	case	case	NOUN
ejpam-5707	84	9	studies	study	NOUN
ejpam-5707	84	10	.	.	PUNCT
ejpam-5707	85	1	world111	world111	PROPN
ejpam-5707	85	2	scientific	scientific	ADJ
ejpam-5707	85	3	publishing	publishing	NOUN
ejpam-5707	85	4	company	company	NOUN
ejpam-5707	85	5	,	,	PUNCT
ejpam-5707	85	6	2016.112	2016.112	PROPN
ejpam-5707	86	1	[	[	X
ejpam-5707	86	2	4	4	X
ejpam-5707	86	3	]	]	PUNCT
ejpam-5707	86	4	hwajoon	hwajoon	PROPN
ejpam-5707	86	5	kim	kim	PROPN
ejpam-5707	86	6	.	.	PUNCT
ejpam-5707	87	1	the	the	DET
ejpam-5707	87	2	intrinsic	intrinsic	ADJ
ejpam-5707	87	3	structure	structure	NOUN
ejpam-5707	87	4	and	and	CCONJ
ejpam-5707	87	5	properties	property	NOUN
ejpam-5707	87	6	of	of	ADP
ejpam-5707	87	7	laplace	laplace	NOUN
ejpam-5707	87	8	-	-	PUNCT
ejpam-5707	87	9	typed	type	VERB
ejpam-5707	87	10	integral	integral	ADJ
ejpam-5707	87	11	trans-113	trans-113	ADJ
ejpam-5707	87	12	forms	form	NOUN
ejpam-5707	87	13	.	.	PUNCT
ejpam-5707	88	1	mathematical	mathematical	ADJ
ejpam-5707	88	2	problems	problem	NOUN
ejpam-5707	88	3	in	in	ADP
ejpam-5707	88	4	engineering	engineering	PROPN
ejpam-5707	88	5	,	,	PUNCT
ejpam-5707	88	6	2017(1):1762729	2017(1):1762729	NUM
ejpam-5707	88	7	,	,	PUNCT
ejpam-5707	88	8	2017.114	2017.114	NUM
ejpam-5707	89	1	[	[	X
ejpam-5707	89	2	5	5	NUM
ejpam-5707	89	3	]	]	PUNCT
ejpam-5707	89	4	hwajoon	hwajoon	PROPN
ejpam-5707	89	5	kim	kim	PROPN
ejpam-5707	89	6	.	.	PUNCT
ejpam-5707	90	1	editorial	editorial	PROPN
ejpam-5707	90	2	for	for	ADP
ejpam-5707	90	3	special	special	ADJ
ejpam-5707	90	4	issue	issue	NOUN
ejpam-5707	90	5	“	"	PUNCT
ejpam-5707	90	6	various	various	ADJ
ejpam-5707	90	7	approaches	approach	NOUN
ejpam-5707	90	8	for	for	ADP
ejpam-5707	90	9	generalized	generalized	ADJ
ejpam-5707	90	10	integral115	integral115	PROPN
ejpam-5707	90	11	transforms	transform	VERB
ejpam-5707	90	12	”	"	PUNCT
ejpam-5707	90	13	.	.	PUNCT
ejpam-5707	91	1	symmetry	symmetry	PROPN
ejpam-5707	91	2	,	,	PUNCT
ejpam-5707	91	3	16(5):576	16(5):576	PROPN
ejpam-5707	91	4	,	,	PUNCT
ejpam-5707	91	5	2024.116	2024.116	NUM
ejpam-5707	92	1	[	[	X
ejpam-5707	92	2	6	6	NUM
ejpam-5707	92	3	]	]	X
ejpam-5707	92	4	erwin	erwin	PROPN
ejpam-5707	92	5	kreyszig	kreyszig	PROPN
ejpam-5707	92	6	,	,	PUNCT
ejpam-5707	92	7	k	k	PROPN
ejpam-5707	92	8	stroud	stroud	PROPN
ejpam-5707	92	9	,	,	PUNCT
ejpam-5707	92	10	and	and	CCONJ
ejpam-5707	92	11	g	g	PROPN
ejpam-5707	92	12	stephenson	stephenson	PROPN
ejpam-5707	92	13	.	.	PUNCT
ejpam-5707	93	1	advanced	advanced	ADJ
ejpam-5707	93	2	engineering	engineering	NOUN
ejpam-5707	93	3	mathematics.117	mathematics.117	ADJ
ejpam-5707	93	4	integration	integration	NOUN
ejpam-5707	93	5	,	,	PUNCT
ejpam-5707	93	6	9(4):1014	9(4):1014	NUM
ejpam-5707	93	7	,	,	PUNCT
ejpam-5707	94	1	2008.118	2008.118	NUM
ejpam-5707	94	2	[	[	X
ejpam-5707	94	3	7	7	NUM
ejpam-5707	94	4	]	]	X
ejpam-5707	94	5	yann	yann	PROPN
ejpam-5707	94	6	lecun	lecun	PROPN
ejpam-5707	94	7	,	,	PUNCT
ejpam-5707	94	8	yoshua	yoshua	PROPN
ejpam-5707	94	9	bengio	bengio	PROPN
ejpam-5707	94	10	,	,	PUNCT
ejpam-5707	94	11	and	and	CCONJ
ejpam-5707	94	12	geoffrey	geoffrey	PROPN
ejpam-5707	94	13	hinton	hinton	PROPN
ejpam-5707	94	14	.	.	PUNCT
ejpam-5707	95	1	deep	deep	ADJ
ejpam-5707	95	2	learning	learning	NOUN
ejpam-5707	95	3	.	.	PUNCT
ejpam-5707	96	1	nature,119	nature,119	PROPN
ejpam-5707	96	2	521(7553):436–444	521(7553):436–444	NUM
ejpam-5707	96	3	,	,	PUNCT
ejpam-5707	96	4	2015.120	2015.120	NUM
ejpam-5707	97	1	[	[	X
ejpam-5707	97	2	8	8	NUM
ejpam-5707	97	3	]	]	X
ejpam-5707	97	4	jürgen	jürgen	X
ejpam-5707	97	5	schmidhuber	schmidhuber	NOUN
ejpam-5707	97	6	.	.	PUNCT
ejpam-5707	98	1	deep	deep	ADJ
ejpam-5707	98	2	learning	learning	NOUN
ejpam-5707	98	3	in	in	ADP
ejpam-5707	98	4	neural	neural	ADJ
ejpam-5707	98	5	networks	network	NOUN
ejpam-5707	98	6	:	:	PUNCT
ejpam-5707	98	7	an	an	DET
ejpam-5707	98	8	overview	overview	NOUN
ejpam-5707	98	9	.	.	PUNCT
ejpam-5707	99	1	neural	neural	ADJ
ejpam-5707	99	2	net-121	net-121	PROPN
ejpam-5707	99	3	works	work	NOUN
ejpam-5707	99	4	,	,	PUNCT
ejpam-5707	99	5	61:85–117	61:85–117	NUM
ejpam-5707	99	6	,	,	PUNCT
ejpam-5707	99	7	2015.122	2015.122	NUM
ejpam-5707	99	8	[	[	X
ejpam-5707	99	9	9	9	NUM
ejpam-5707	99	10	]	]	X
ejpam-5707	99	11	jason	jason	PROPN
ejpam-5707	99	12	weston	weston	PROPN
ejpam-5707	99	13	,	,	PUNCT
ejpam-5707	99	14	frédéric	frédéric	ADJ
ejpam-5707	99	15	ratle	ratle	NOUN
ejpam-5707	99	16	,	,	PUNCT
ejpam-5707	99	17	and	and	CCONJ
ejpam-5707	99	18	ronan	ronan	PROPN
ejpam-5707	99	19	collobert	collobert	VERB
ejpam-5707	99	20	.	.	PUNCT
ejpam-5707	100	1	deep	deep	ADJ
ejpam-5707	100	2	learning	learning	NOUN
ejpam-5707	100	3	via	via	ADP
ejpam-5707	100	4	semi-123	semi-123	NOUN
ejpam-5707	100	5	supervised	supervise	VERB
ejpam-5707	100	6	embedding	embed	VERB
ejpam-5707	100	7	.	.	PUNCT
ejpam-5707	101	1	in	in	ADP
ejpam-5707	101	2	proceedings	proceeding	NOUN
ejpam-5707	101	3	of	of	ADP
ejpam-5707	101	4	the	the	DET
ejpam-5707	101	5	25th	25th	ADJ
ejpam-5707	101	6	international	international	ADJ
ejpam-5707	101	7	conference	conference	NOUN
ejpam-5707	101	8	on	on	ADP
ejpam-5707	101	9	machine124	machine124	PROPN
ejpam-5707	101	10	learning	learning	NOUN
ejpam-5707	101	11	,	,	PUNCT
ejpam-5707	101	12	pages	page	NOUN
ejpam-5707	101	13	1168–1175	1168–1175	NUM
ejpam-5707	101	14	,	,	PUNCT
ejpam-5707	101	15	2008.125	2008.125	NUM
ejpam-5707	102	1	[	[	X
ejpam-5707	102	2	10	10	NUM
ejpam-5707	102	3	]	]	X
ejpam-5707	102	4	joshua	joshua	PROPN
ejpam-5707	102	5	fredrick	fredrick	PROPN
ejpam-5707	102	6	wiley	wiley	PROPN
ejpam-5707	102	7	.	.	PUNCT
ejpam-5707	103	1	r	r	NOUN
ejpam-5707	103	2	deep	deep	ADJ
ejpam-5707	103	3	learning	learning	NOUN
ejpam-5707	103	4	essentials	essential	NOUN
ejpam-5707	103	5	.	.	PUNCT
ejpam-5707	104	1	packt	packt	PROPN
ejpam-5707	104	2	,	,	PUNCT
ejpam-5707	104	3	2016.126	2016.126	NUM