Provable Low Rank Plus Sparse Matrix Separation Via Nonconvex Regularizers.
April SaganJohn E. MitchellPublished in: CoRR (2021)
Keyphrases
- sparse matrix
- low rank
- low rank matrix
- convex optimization
- low rank matrices
- linear combination
- robust principal component analysis
- sparse linear
- total variation
- low rank and sparse
- matrix completion
- rank minimization
- missing data
- kernel matrix
- matrix factorization
- image denoising
- image restoration
- random projections
- denoising
- singular value decomposition
- semi supervised
- singular values
- floating point
- high order
- objective function
- rows and columns
- optimization problems
- super resolution