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	Fast optimization algorithm on Riemannian manifolds and its application in low-rank learning
	Chen, Haoran; Sun, Yanfeng; Gao, Junbin; Hu, Yongli; Yin, Baocai
刊名	NEUROCOMPUTING
	2018
卷号	291页码:59-70
关键词	Fast optimization algorithm Riemannian manifolds Low-rank matrix variety Low-rank representation Subspace pursuit Augmented Lagrange method Clustering
ISSN号	0925-2312
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/3271648
专题	大连理工大学
作者单位	1.Beijing Univ Technol, Fac Informat Technol, Beijing Key Lab Multimedia & Intelligent Software, Beijing 100124, Peoples R China. 2.Univ Sydney, Business Sch, Discipline Business Analyt, Sydney, NSW 2006, Australia. 3.Dalian Univ Technol, Fac Elect Informat & Elect Engn, Dalian 116024, Peoples R China.
推荐引用方式 GB/T 7714	Chen, Haoran,Sun, Yanfeng,Gao, Junbin,et al. Fast optimization algorithm on Riemannian manifolds and its application in low-rank learning[J]. NEUROCOMPUTING,2018,291:59-70.
APA	Chen, Haoran,Sun, Yanfeng,Gao, Junbin,Hu, Yongli,&Yin, Baocai.(2018).Fast optimization algorithm on Riemannian manifolds and its application in low-rank learning.NEUROCOMPUTING,291,59-70.
MLA	Chen, Haoran,et al."Fast optimization algorithm on Riemannian manifolds and its application in low-rank learning".NEUROCOMPUTING 291(2018):59-70.

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