Manifold Denoising on 3D sphere dataset sigma=0.03
0.001MSESCQM
Evaluation Results
| Method | Links | |
|---|---|---|
| SCQMModel Type=Quadratic, Loss Function=l_p^p, p=1.752026.05 | 0.001 | |
| SCQMModel Type=Quadratic, Loss Function=l_p^p, p=2.002026.05 | 0.001 | |
| MLS2026.05 | 0.001 | |
| SCQMModel Type=Quadratic, Loss Function=l_p^p, p=1.252026.05 | 0.002 | |
| SCQMModel Type=Quadratic, Loss Function=l_p^p, p=1.502026.05 | 0.002 | |
| SCQMModel Type=Quadratic, Loss Function=l22026.05 | 0.002 | |
| SPH2026.05 | 0.002 | |
| SCQMModel Type=Quadratic, Loss Function=l_p^p, p=1.002026.05 | 0.009 | |
| SCQMModel Type=Linear, Loss Function=l_p^p, p=1.752026.05 | 0.013 | |
| SCQMModel Type=Linear, Loss Function=l_p^p, p=2.002026.05 | 0.013 | |
| SCQMModel Type=Linear, Loss Function=l22026.05 | 0.013 | |
| SCQMModel Type=Linear, Loss Function=l_p^p, p=1.502026.05 | 0.014 | |
| SCQMModel Type=Linear, Loss Function=l_p^p, p=1.002026.05 | 0.016 | |
| SCQMModel Type=Linear, Loss Function=l_p^p, p=1.252026.05 | 0.016 | |
| MFIT2026.05 | 0.018 |