Manifold regularized discriminative feature selection for multi-label learning

Published: 2019, Last Modified: 06 Nov 2025Pattern Recognit. 2019EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Label correlations are incorporated into the framework via manifold regularization.•An embedded multi-label feature selection method is proposed with sparsity.•An optimization algorithm is developed to solve the problem with convexity.•Experiments demonstrate the feasibility and effectiveness of the proposed method.
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