Affiliated with RCfalse
Robust Nonconvex Nonnegative Low-rank Representation
Zhao,Yin Ping1; Lu,Xiliang2; Chen,Long1; Tian,Jinyu1; Chen,C. L.Philip1
Conference NameInternational Conference on Fuzzy Theory and Its Applications (iFUZZY)
Source Publication2019 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2019
Conference DateNOV 07-10, 2019
Conference PlaceNew Taipei City, TAIWAN

Low-rank representation (LRR) has drawn increasing attention in many areas due to its pleasing efficiency in finding subspaces in high-dimensional data. However, the performance of LRR is effected by two problems. First, LRR may generate negative coding coefficients which lack physical meaning. Second, LRR usually obtains a suboptimal solution since the nuclear norm ||. ||∗ is a loose approximation of the rank function rank(.). To solve the limitations simultaneously, we propose a novel model named Robust Nonconvex Nonnegative Low-rank Representation, termed as RNNLRR. Besides, to rule out the trivial solution, diagonal elements of the coding coefficients are constrained to zero. Based on the alternating direction method of multipliers, an efficient optimization algorithm is derived to solve our model. Experiments on data clustering and noise removal demonstrate the superiority of the proposed RNNLRR.

KeywordAdmm Low-rank Representation Nonconvex Nonnegative Regularization
URLView the original
Indexed ByCPCI-S
WOS Research AreaComputer Science
WOS IDWOS:000569809300020
Scopus ID2-s2.0-85084192833
Fulltext Access
Citation statistics
Cited Times [WOS]:1   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
Corresponding AuthorChen,Long
Affiliation1.University of Macau
2.Wuhan University
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Zhao,Yin Ping,Lu,Xiliang,Chen,Long,et al. Robust Nonconvex Nonnegative Low-rank Representation[C],2019:226-231.
APA Zhao,Yin Ping,Lu,Xiliang,Chen,Long,Tian,Jinyu,&Chen,C. L.Philip.(2019).Robust Nonconvex Nonnegative Low-rank Representation.2019 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2019,226-231.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhao,Yin Ping]'s Articles
[Lu,Xiliang]'s Articles
[Chen,Long]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhao,Yin Ping]'s Articles
[Lu,Xiliang]'s Articles
[Chen,Long]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhao,Yin Ping]'s Articles
[Lu,Xiliang]'s Articles
[Chen,Long]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.