Low-Rank Factorization for Rank Minimization with Nonconvex Regularizers.
April SaganJohn E. MitchellPublished in: CoRR (2020)
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
- matrix factorization
- singular value decomposition
- missing data
- kernel matrix
- image restoration
- data matrix
- small number
- image denoising
- semi supervised
- rank constraint
- nuclear norm
- interior point methods
- high dimensional data
- singular values
- norm minimization
- high order
- denoising
- primal dual
- pattern recognition