Learning view-adaptive implicit regularization for robust multi-view subspace clustering

Guang-Yong Chen

doi:10.1016/j.neucom.2026.133898

Learning view-adaptive implicit regularization for robust multi-view subspace clustering

2026-05-08

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DOI：10.1016/j.neucom.2026.133898

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• Learn view specific noise regularization beyond fixed explicit error norms. • View and layer wise thresholds adapt denoising intensity for each view. • Residual implicit denoising refines noise estimates and captures structure. • Achieves robust clustering under heterogeneous view corruptions on eight datasets.

Keywords:

view-adaptive regularization

implicit denoising

multi-view subspace clustering

heterogeneous corruptions

robust clustering

Learning view-adaptive implicit regularization for robust multi-view subspace clustering

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