Name
Abstract | ||
|---|---|---|
•Perform adaptive manifold learning and feature selection jointly.•Impose the non-squared l2-norm to guarantee the clarity of the manifold structure.•Propose an efficient algorithm to solve the non-smooth objective function.•Verify the effectiveness of our method on several publicly available datasets. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.patrec.2017.12.022 | Pattern Recognition Letters |
Keywords | Field | DocType |
Unsupervised learning,Feature selection,Adaptive structure learning,l2-Norm | Feature vector,CLARITY,Feature selection,Pattern recognition,Iterative method,Matrix (mathematics),Artificial intelligence,Adaptive learning,Feature learning,Mathematics,Pattern recognition (psychology) | Journal |
Volume | ISSN | Citations |
102 | 0167-8655 | 2 |
PageRank | References | Authors |
0.36 | 17 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiao-Dong Wang | 1 | 2 | 0.70 |
| Rung-Ching Chen | 2 | 331 | 37.37 |
| Chaoqun Hong | 3 | 324 | 13.19 |
| Zhiqiang Zeng | 4 | 139 | 16.35 |