Name
Abstract | ||
|---|---|---|
Deep subspace clustering networks have attracted much attention in subspace clustering, in which an auto-encoder non-linearly maps the input data into a latent space, and a fully connected layer named self-expressiveness module is introduced to learn the affinity matrix via a typical regularization term (e.g., sparse or low-rank). However, the adopted regularization terms ignore the connectivity w... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TCSVT.2021.3089480 | IEEE Transactions on Circuits and Systems for Video Technology |
Keywords | DocType | Volume |
Sparse matrices,Couplings,Decoding,Clustering methods,Entropy,Kernel,Training | Journal | 32 |
Issue | ISSN | Citations |
4 | 1051-8215 | 1 |
PageRank | References | Authors |
0.35 | 39 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhihao Peng | 1 | 4 | 1.73 |
| Yuheng Jia | 2 | 93 | 13.13 |
| Y. H. Liu | 3 | 40 | 16.40 |
| Junhui Hou | 4 | 395 | 49.84 |
| Qingfu Zhang | 5 | 7634 | 255.05 |