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	A Nonconvex Relaxation Approach to Low-Rank Tensor Completion
	Zhang, Xiongjun*
刊名	IEEE Transactions on Neural Networks and Learning Systems
	2019
卷号	30期号:6页码:1659-1671
关键词	Kurdyka-Lojasiewicz (KL) property nonconvex optimization nuclear norm proximal linearized minimization (PLM) tensor completion
ISSN号	2162-237X
DOI	10.1109/TNNLS.2018.2872583
URL标识	查看原文
WOS记录号	WOS:000469335200005
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/5158191
专题	华中师范大学
作者单位	[Zhang, Xiongjun] Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Hubei, Peoples R China.
推荐引用方式 GB/T 7714	Zhang, Xiongjun*. A Nonconvex Relaxation Approach to Low-Rank Tensor Completion[J]. IEEE Transactions on Neural Networks and Learning Systems,2019,30(6):1659-1671.
APA	Zhang, Xiongjun*.(2019).A Nonconvex Relaxation Approach to Low-Rank Tensor Completion.IEEE Transactions on Neural Networks and Learning Systems,30(6),1659-1671.
MLA	Zhang, Xiongjun*."A Nonconvex Relaxation Approach to Low-Rank Tensor Completion".IEEE Transactions on Neural Networks and Learning Systems 30.6(2019):1659-1671.

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