Title
Localized multiple kernel learning using graph modularity
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
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 Chamakura100.68
Goutam Saha225523.17