Name
Abstract | ||
|---|---|---|
•The new method learns a set of implicit weights for each view to identify its quality, and the view weights can be adjusted by an additional parameter for better results.•A parameter p is introduced to adjust the distribution of these view weights to obtain better results.•An iterative algorithm with linear time complexity is proposed to directly optimize the new model without eigen-decomposition and post-processing. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.patcog.2022.108809 | Pattern Recognition |
Keywords | DocType | Volume |
Clustering,Graph cut,Multi-view | Journal | 130 |
ISSN | Citations | PageRank |
0031-3203 | 0 | 0.34 |
References | Authors | |
22 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chen Wang | 1 | 141 | 46.56 |
| Xiaojun Chen | 2 | 1298 | 107.51 |
| Feiping Nie | 3 | 7061 | 309.42 |
| Joshua Zhexue Huang | 4 | 1365 | 82.64 |