Low-rank factorization for rank minimization with nonconvex regularizers.
April SaganJohn E. MitchellPublished in: Comput. Optim. Appl. (2021)
Keyphrases
- low rank
- rank minimization
- convex optimization
- linear combination
- robust principal component analysis
- low rank matrices
- total variation
- matrix completion
- low rank and sparse
- missing entries
- low rank matrix
- singular value decomposition
- matrix factorization
- kernel matrix
- missing data
- data matrix
- rank constraint
- small number
- denoising
- image restoration
- high dimensional data
- image denoising
- nuclear norm
- interior point methods
- high order
- eigendecomposition
- semi supervised
- affinity matrix
- convex relaxation
- primal dual
- norm minimization