Name
Abstract | ||
|---|---|---|
•A graph-based learning using multiple kernels and multiple views.•A self-weighted algorithm where each kernel of each view gets an appropriate weight automatically.•Robustness of the algorithm to reduce the effect of data outliers and noises present in the data set.•A unified framework for graph construction, kernel learning and label learning. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.patcog.2020.107628 | Pattern Recognition |
Keywords | DocType | Volume |
Robust,Clustering,Semi-supervised classification,Multiple kernels,Multiple views | Journal | 110 |
Issue | ISSN | Citations |
1 | 0031-3203 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Supratim Manna | 1 | 0 | 0.34 |
| Jessy Rimaya Khonglah | 2 | 0 | 0.34 |
| Anirban Mukherjee | 3 | 208 | 16.84 |
| Goutam Saha | 4 | 255 | 23.17 |