Research map / 3D vision / 3D generation
Latent Multi-View Subspace Clustering
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use a learned multi-view latent representation and shared subspace reconstruction instead of the strongest listed baseline | LMSC · MSRCV1 | NMI: 60.64 ± 0.32 -> 65.34 ± 1.05 | Helped |
| Use a learned multi-view latent representation and shared subspace reconstruction instead of the strongest listed baseline | LMSC · MSRCV1 | ACC: 69.21 ± 3.43 -> 80.55 ± 1.28 | Helped |
| Use a learned multi-view latent representation and shared subspace reconstruction instead of the strongest listed baseline | LMSC · ORL | NMI: 90.35 ± 1.62 -> 93.10 ± 1.16 | Helped |
| Use a learned multi-view latent representation and shared subspace reconstruction instead of the strongest listed baseline | LMSC · ORL | ACC: 77.73 ± 3.36 -> 81.94 ± 1.71 | Helped |
| Use a learned multi-view latent representation and shared subspace reconstruction instead of the strongest listed baseline | LMSC · Scene-15 | NMI: 36.99 ± 1.67 -> 38.20 ± 0.65 | Helped |
| Use a learned multi-view latent representation and shared subspace reconstruction instead of the strongest listed baseline | LMSC · Scene-15 | ACC: 41.38 ± 2.57 -> 37.55 ± 0.44 | Hurt |
| Use a learned multi-view latent representation and shared subspace reconstruction instead of the strongest listed baseline | LMSC · LandUse-21 | NMI: 33.63 ± 0.93 -> 35.29 ± 0.30 | Helped |
| Use a learned multi-view latent representation and shared subspace reconstruction instead of the strongest listed baseline | LMSC · LandUse-21 | ACC: 29.71 ± 0.89 -> 31.00 ± 0.53 | Helped |
| Use a learned multi-view latent representation and shared subspace reconstruction instead of the strongest listed baseline | LMSC · Still DB | NMI: 10.91 ± 0.30 -> 13.59 ± 0.32 | Helped |
| Use a learned multi-view latent representation and shared subspace reconstruction instead of the strongest listed baseline | LMSC · Still DB | ACC: 33.62 ± 1.40 -> 32.76 ± 0.29 | Hurt |
| Use a learned multi-view latent representation and shared subspace reconstruction instead of the strongest listed baseline | LMSC · BBCSport | NMI: 81.28 ± 0.95 -> 82.59 ± 0.65 | Helped |
| Use a learned multi-view latent representation and shared subspace reconstruction instead of the strongest listed baseline | LMSC · BBCSport | ACC: 85.78 ± 1.47 -> 90.07 ± 0.44 | Helped |
Closest papers by meaning
- Consistent and Specific Multi-View Subspace Clustering (AAAI 2018 · similarity 0.91)
- Multi-View Clustering in Latent Embedding Space (AAAI 2020 · similarity 0.90)
- Exclusivity-Consistency Regularized Multi-View Subspace Clustering (CVPR 2017 · similarity 0.90)
- From Dictionary to Tensor: A Scalable Multi-View Subspace Clustering Framework with Triple Information Enhancement (NeurIPS 2024 · similarity 0.88)
- Scalable One-Pass Incomplete Multi-View Clustering by Aligning Anchors (AAAI 2025 · similarity 0.88)
- Partial Multi-View Clustering via Self-Supervised Network (AAAI 2024 · similarity 0.87)
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