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	Unsupervised learning low-rank tensor from incomplete and grossly corrupted data
	Meng, Zhijun; Zhou, Yaoming; Zhao, Yongjia
刊名	NEURAL COMPUTING & APPLICATIONS
	2019
卷号	31页码:8327-8335
关键词	Unsupervised learning Low-rank tensor Tensor recovery Convex optimization Alternating direction augmented Lagrangian (ADAL)
ISSN号	0941-0643
DOI	10.1007/s00521-018-3899-x
URL标识	查看原文
收录类别	SCIE ; EI
WOS记录号	WOS:000494051000019
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/5914934
专题	北京航空航天大学
推荐引用方式 GB/T 7714	Meng, Zhijun,Zhou, Yaoming,Zhao, Yongjia. Unsupervised learning low-rank tensor from incomplete and grossly corrupted data[J]. NEURAL COMPUTING & APPLICATIONS,2019,31:8327-8335.
APA	Meng, Zhijun,Zhou, Yaoming,&Zhao, Yongjia.(2019).Unsupervised learning low-rank tensor from incomplete and grossly corrupted data.NEURAL COMPUTING & APPLICATIONS,31,8327-8335.
MLA	Meng, Zhijun,et al."Unsupervised learning low-rank tensor from incomplete and grossly corrupted data".NEURAL COMPUTING & APPLICATIONS 31(2019):8327-8335.

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