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Xing-Lin Peng

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Open access Jul 2026

Graph-Regularized Low-Rank Label Correlation Learning with Label-Specific Features for Missing Labels

Missing labels are common in multi-label learning and can bias both label-correlation estimation and classifier induction. Existing missing-label methods often recover incomplete supervision mainly through global label correlations. However, correlation-driven recovery alone may produce over-smoothed supervision when a...

Tian-Lin Li, M. F. Nasrudin, Xing-Lin Peng et al. · 0 citations

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