On Unifying Multi-view Self-Representations for Clustering by Tensor Multi-rank Minimization

标题
On Unifying Multi-view Self-Representations for Clustering by Tensor Multi-rank Minimization
作者
关键词
T-SVD, Tensor multi-rank, Multi-view features, Subspace clustering
出版物
出版商
Springer Nature
发表日期
2018-04-07
DOI
10.1007/s11263-018-1086-2

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started