Research map / Learning theory and algorithms / Matrix and tensor methods
Mixture Matrix Completion
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use AMMC to separate mixed face pixels and reconstruct the component matrices | Yale B face mixture · Yale B | pixel classification error | Helped |
| Use AMMC to reconstruct the component matrices from the face mixture | Yale B face mixture · Yale B | reconstruction error: 4.1% vs 1.8% | Mixed |
| Model background, structured foreground, and outliers as a mixture of low-rank matrices | AMMC · Wallflower and I2R background segmentation, first-row video | segmentation accuracy: 74.88% -> 87.67% | Helped |
| Increase the distance between initial and true subspaces | AMMC · Synthetic mixture matrix completion | success rate | Hurt |
| Decrease the fraction of observed entries | AMMC · Synthetic mixture matrix completion | success rate: p ≈ 0.6; p<0.6 | Hurt |
Closest papers by meaning
- Generalization Bounds for Semi-supervised Matrix Completion with Distributional Side Information (AAAI 2026 · similarity 0.90)
- Scalable Completion of Nonnegative Matrix with Separable Structure (AAAI 2016 · similarity 0.90)
- Clipped Matrix Completion: A Remedy for Ceiling Effects (AAAI 2019 · similarity 0.90)
- Online Matrix Completion: A Collaborative Approach with Hott Items (ICML 2024 · similarity 0.88)
- Recommendations with Sparse Comparison Data: Provably Fast Convergence for Nonconvex Matrix Factorization (ICML 2025 · similarity 0.86)
- Multi-Label Ranking Loss Minimization for Matrix Completion (AAAI 2025 · similarity 0.86)
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