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Feng-Yu Zhang

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Conference Open access Sep 2026

Salient-Residual Decoupled Multi-View Learning for Clustering

This paper proposes salient-residual decoupled multi-view learning for clustering, SRDMVC, introducing a novel decomposition-fusion iterative optimization, which separates the feature space into a salient space and a residual subspace effectively and fuses them using a novel attention mechanism.

Gao-Kai Wang, Yazhou Ren, Feng-Yu Zhang et al. · 0 citations

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