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Exclusivity-Consistency Regularized Multi-View Subspace Clustering

CVPR 2017 · Learning theory and algorithms › Clustering · approach: Incomplete multi-view clustering · 285 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add position-aware representation exclusivity (ablation)ECMSC · Extended Yale-BACC: 0.692±0.013 -> 0.783±0.011Helped
Add indicator consistency (ablation)ECMSC · Extended Yale-BACC: 0.678±0.010 -> 0.783±0.011Helped
Add position-aware representation exclusivity (ablation)ECMSC · YaleACC: 0.742±0.008 -> 0.771±0.014Helped
Add indicator consistency (ablation)ECMSC · YaleACC: 0.721±0.005 -> 0.771±0.014Helped
Add position-aware representation exclusivity (ablation)ECMSC · ORLACC: 0.822±0.008 -> 0.854±0.011Helped
Add indicator consistency (ablation)ECMSC · ORLACC: 0.841±0.012 -> 0.854±0.011Helped
Use position-aware exclusivity instead of value-aware HSIC diversityMulti-view subspace clustering · Extended Yale-BACC: 0.615±0.003 -> 0.678±0.010Helped
Use position-aware exclusivity instead of value-aware HSIC diversityMulti-view subspace clustering · YaleACC: 0.709±0.003 -> 0.721±0.005Helped
Use position-aware exclusivity instead of value-aware HSIC diversityMulti-view subspace clustering · ORLACC: 0.838±0.001 -> 0.841±0.012No clear effect

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