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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