Research map / Learning theory and algorithms / Matrix and tensor methods
Robust Principal Component Analysis with Side Information
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add row/column side features (PCPF) to robust PCA | robust PCA on synthetic low-rank plus sparse matrices · synthetic, n=200, random sign model | recoverable (rank, sparsity) region: substantial gray region recoverable only by PCPF | Helped |
| add Eigendigit row features to robust PCA (PCPF vs PCP) | MNIST denoising, linear SVM classification · MNIST, sparsity 0.05 to 0.3 | classification accuracy: e.g. 86.94 to 87.51 at rho=0.05 | Helped |
| add Eigendigit row features to robust PCA (PCPF vs PCP) | MNIST denoising, kernel SVM classification · MNIST, sparsity 0.05 to 0.3 | classification accuracy: e.g. 95.17 to 95.74 at rho=0.05 | Helped |
| add Eigendigit row features to robust PCA (PCPF vs PCP) | MNIST denoising, relative error to clean images · MNIST, sparsity 0.05 to 0.3 | relative error: e.g. 0.3643 to 0.3424 at rho=0.05 | Helped |
| increase feature dimension d relative to rank (lower d) (ablation) | PCPF recoverability · synthetic, random sign model rho=0.2 | recoverable rank | Helped |
Closest papers by meaning
- Informed Non-Convex Robust Principal Component Analysis With Features (AAAI 2018 · similarity 0.92)
- Robust Formulation for PCA: Avoiding Mean Calculation With L2,p-norm Maximization (AAAI 2018 · similarity 0.89)
- RES-PCA: A Scalable Approach to Recovering Low-Rank Matrices (CVPR 2019 · similarity 0.89)
- A Pseudo-Bayesian Algorithm for Robust PCA (NeurIPS 2016 · similarity 0.89)
- Capturing the denoising effect of PCA via compression ratio (NeurIPS 2024 · similarity 0.86)
- Rethinking PCA Through Duality (NeurIPS 2025 · similarity 0.86)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.