Title
Deep self-representative subspace clustering network
Abstract
•Deep subspace clustering using self-representative network is proposed.•Feature extraction and emphasis network using attention model is introduced.•Dimensional reduction in self-expressive layer is presented.•We experimentally verify performance improvements for the proposed approach.
Year
DOI
Venue
2021
10.1016/j.patcog.2021.108041
Pattern Recognition
Keywords
DocType
Volume
Subspace clustering,Self-representation,Deep subspace clustering
Journal
118
Issue
ISSN
Citations 
1
0031-3203
3
PageRank 
References 
Authors
0.37
0
4
Name
Order
Citations
PageRank
Sangwon Baek130.37
Gang-Joon Yoon2327.66
jinjoo song373.80
Sang Min Yoon412919.66