LogDet Rank Minimization with Application to Subspace Clustering
Low-rank matrix is desired in many machine learning and computer vision problems. Most of the recent studies use the nuclear norm as a convex surrogate of the rank operator. However, all singular values are simply added together by the nuclear norm, and thus the rank may not be well approximated in...
| Main Authors: | , , , |
|---|---|
| Format: | Online |
| Language: | English |
| Published: |
Hindawi Publishing Corporation
2015
|
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4504123/ |