Research map / Learning theory and algorithms / Matrix and tensor methods
Co-manifold learning with missing data
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use the coupled row-column geometry to construct embeddings | Co-manifold learning · lung500 | patient-cluster separation | Helped |
| Use the coupled row-column geometry to construct embeddings | Co-manifold learning · lung500 | Adjusted Rand Index | Helped |
| Use multi-scale distances from jointly smoothed matrix estimates | Co-manifold learning · linkage2 | Adjusted Rand Index | Helped |
| Use multi-scale distances from jointly smoothed matrix estimates | Co-manifold learning · linkage2 | Adjusted Rand Index under increasing missingness | Helped |
| Use multi-scale distances from jointly smoothed matrix estimates | Co-manifold learning · linkage | row-embedding smoothness | Helped |
Closest papers by meaning
- Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding (CVPR 2025 · similarity 0.87)
- Geometric Analysis of Nonlinear Manifold Clustering (NeurIPS 2024 · similarity 0.87)
- Euclidean Embedding of Data Using Local Distances (NeurIPS 2026 · similarity 0.86)
- Partition First, Embed Later: Laplacian-Based Feature Partitioning for Refined Embedding and Visualization of High-Dimensional Data (ICML 2025 · similarity 0.86)
- Recovering Manifold Structure Using Ollivier Ricci Curvature (ICLR 2025 · similarity 0.86)
- Latent Functional Maps: a spectral framework for representation alignment (NeurIPS 2024 · similarity 0.86)
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