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	SPARSE REPRESENTATION LEARNING OF DATA BY AUTOENCODERS WITH L-1/2 REGULARIZATION
	Li, F.; Zurada, J. M.; Wu, W.
刊名	NEURAL NETWORK WORLD
	2018
卷号	28页码:133-147
关键词	autoencoder sparse representation unsupervised feature learning deep network L-1/2 regularization
ISSN号	1210-0552
URL标识	查看原文
WOS记录号	[DB:DC_IDENTIFIER_WOSID]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3263583
专题	大连理工大学
作者单位	1.Dalian Univ Technol, Sch Math Sci, Dalian, Liao Ning Provi, Peoples R China. 2.Univ Louisville, Dept Elect & Comp Engn, Louisville, KY 40292 USA.,Univ Social Sci, Informat Technol Inst, Lodz, Poland.
推荐引用方式 GB/T 7714	Li, F.,Zurada, J. M.,Wu, W.. SPARSE REPRESENTATION LEARNING OF DATA BY AUTOENCODERS WITH L-1/2 REGULARIZATION[J]. NEURAL NETWORK WORLD,2018,28:133-147.
APA	Li, F.,Zurada, J. M.,&Wu, W..(2018).SPARSE REPRESENTATION LEARNING OF DATA BY AUTOENCODERS WITH L-1/2 REGULARIZATION.NEURAL NETWORK WORLD,28,133-147.
MLA	Li, F.,et al."SPARSE REPRESENTATION LEARNING OF DATA BY AUTOENCODERS WITH L-1/2 REGULARIZATION".NEURAL NETWORK WORLD 28(2018):133-147.

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