Multi-label feature selection via manifold regularization and dependence maximization
•Presenting a new multi-label feature selection method that efficiently combines manifold regularization and dependence maximization.•Introducing a HSIC-based measurement to evaluate the dependence between the manifold space and label space.•Developing an iterative optimization method to solve the o...
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Published in | Pattern recognition Vol. 120; p. 108149 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.12.2021
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Subjects | |
Online Access | Get full text |
ISSN | 0031-3203 1873-5142 |
DOI | 10.1016/j.patcog.2021.108149 |
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