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Multilayer Sparsity-Based Tensor Decomposition for Low-Rank Tensor Completion

 
dc.contributor.authorXue, Jize
dc.contributor.authorZhao, Yongqiang
dc.contributor.authorHuang, Shaoguang
dc.contributor.authorLiao, Wenzhi
dc.contributor.authorChan, Jonathan Cheung-Wai
dc.contributor.authorKong, Seong G.
dc.contributor.imecauthorXue, Jize
dc.contributor.imecauthorHuang, Shaoguang
dc.contributor.imecauthorLiao, Wenzhi
dc.contributor.orcidimecLiao, Wenzhi::0000-0002-2183-0324
dc.date.accessioned2022-12-16T10:19:33Z
dc.date.available2021-12-30T02:06:37Z
dc.date.available2022-12-16T10:19:33Z
dc.date.issued2022
dc.description.wosFundingTextThis work was supported in part by the National Natural Science Foundation of China (NSFC) under Grant 61771391, in part by the Key Research and Development Plan of Shaanxi Province under Grant 2020ZDLGY07-11, in part by the Science, Technology and Innovation Commission of Shenzhen Municipality under Grant JCYJ20170815162956949 and Grant JCYJ20180306171146740, in part by the Natural Science Basic Research Plan in Shaanxi Province of China under Grant 2018JM6056, and in part by the Faculty Research Fund of Sejong University in 2021 under Grant Sejong-2021.
dc.identifier.doi10.1109/TNNLS.2021.3083931
dc.identifier.issn2162-237X
dc.identifier.pmidMEDLINE:34143740
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/38690
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.source.beginpage6916
dc.source.endpage6930
dc.source.issue11
dc.source.journalIEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
dc.source.numberofpages15
dc.source.volume33
dc.subject.keywordsRECOVERY
dc.subject.keywordsFACTORIZATION
dc.subject.keywordsREGULARIZATION
dc.subject.keywordsREPRESENTATION
dc.subject.keywordsMINIMIZATION
dc.subject.keywordsMODELS
dc.title

Multilayer Sparsity-Based Tensor Decomposition for Low-Rank Tensor Completion

dc.typeJournal article
dspace.entity.typePublication
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