A shared codebook with cross-view reconstruction plus fused-teacher self-distillation improves classification accuracy on incomplete multi-view multi-label data.
Multi-view multi-label learning with view-specific information extraction
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Incomplete Multi-View Multi-Label Classification via Shared Codebook and Fused-Teacher Self-Distillation
A shared codebook with cross-view reconstruction plus fused-teacher self-distillation improves classification accuracy on incomplete multi-view multi-label data.