Name
Abstract | ||
|---|---|---|
This paper develops a novel iterative framework for subspace clustering (SC) in a learned discriminative feature domain. This framework consists of two modules of fuzzy sparse SC and discriminative transformation learning. In the first module, fuzzy latent labels containing discriminative information and latent representations capturing the subspace structure will be simultaneously evaluated in a ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TCYB.2017.2729542 | IEEE Transactions on Cybernetics |
Keywords | DocType | Volume |
Clustering algorithms,Robustness,Algorithm design and analysis,Computer vision,Face,Principal component analysis,Data models | Journal | 48 |
Issue | ISSN | Citations |
8 | 2168-2267 | 1 |
PageRank | References | Authors |
0.35 | 43 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zaidao Wen | 1 | 4 | 4.80 |
| Biao Hou | 2 | 368 | 49.04 |
| Qian Wu | 3 | 28 | 12.34 |
| Licheng Jiao | 4 | 5698 | 475.84 |