Abstract | ||
---|---|---|
•A graph-based heuristic approach for multiple kernel learning (MKL).•Assigns sample-specific kernel weights based on contribution to graph modularity.•Classification performance comparable to state-of-the-art MKL algorithms.•Outperforms other heuristic approaches and has low time complexity. |
Year | DOI | Venue |
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2022 | 10.1016/j.patrec.2022.01.018 | Pattern Recognition Letters |
Keywords | DocType | Volume |
Multiple kernel combining,Multi-view data,SVM,Heuristic approach,Graph modularity | Journal | 155 |
ISSN | Citations | PageRank |
0167-8655 | 0 | 0.34 |
References | Authors | |
0 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Lily Chamakura | 1 | 0 | 0.68 |
Goutam Saha | 2 | 255 | 23.17 |