Name
Title | ||
|---|---|---|
A sharing multi-view feature selection method via Alternating Direction Method of Multipliers. |
Abstract | ||
|---|---|---|
•A sharing multi-view feature selection method which combines the specificity of views and the common objective is proposed.•To effectively select features from the high dimensional data via sharing strategy and ADMM.•To speed up the calculation by decomposing the large scale optimization problem into small scale sub-problems.•The comparison experiments with several state-of-the-art feature selection methods show its effectiveness. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.neucom.2018.12.043 | Neurocomputing |
Keywords | Field | DocType |
Feature selection,Multi-view,Sharing strategy,Alternating Direction Method of Multipliers (ADMM) | Data set,Feature selection,Pattern recognition,Matrix (mathematics),Artificial intelligence,Concatenation,Mathematics | Journal |
Volume | ISSN | Citations |
333 | 0925-2312 | 3 |
PageRank | References | Authors |
0.36 | 27 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qiang Lin | 1 | 16 | 3.56 |
| Yiming Xue | 2 | 17 | 6.28 |
| Juan Wen | 3 | 11 | 3.17 |
| Ping Zhong | 4 | 40 | 11.34 |