Robust low-rank training via approximate orthonormal constraints.
Dayana SavostianovaEmanuele ZangrandoGianluca CerutiFrancesco TudiscoPublished in: NeurIPS (2023)
Keyphrases
- low rank
- low rank matrix
- rank minimization
- singular value decomposition
- low rank representation
- robust principal component analysis
- matrix factorization
- low rank subspace
- convex optimization
- matrix completion
- linear combination
- sparse matrix
- missing data
- matrix decomposition
- high order
- high dimensional data
- kernel matrix
- basis functions
- norm minimization
- dimensionality reduction
- semi supervised
- low rank matrices
- singular values
- principal component analysis
- non rigid structure from motion
- collaborative filtering
- denoising