Foreground-Background Separation via Generalized Nuclear Norm and Structured Sparse Norm Based Low-Rank and Sparse Decomposition.
Yongpeng YangZhenzhen YangJianlin LiLu FanPublished in: IEEE Access (2020)
Keyphrases
- nuclear norm
- low rank
- low rank and sparse
- low rank matrix
- low rank matrices
- foreground background separation
- robust principal component analysis
- convex optimization
- matrix factorization
- missing data
- singular value decomposition
- linear combination
- matrix completion
- rank minimization
- high dimensional data
- semi supervised
- singular values
- sparse matrix
- high order
- approximation methods
- minimization problems
- low rank approximation
- signal recovery
- data sets
- total variation