Adaptive algorithms for low-rank and sparse matrix recovery with truncated nuclear norm.
Wenchao QianFeilong CaoPublished in: Int. J. Mach. Learn. Cybern. (2019)
Keyphrases
- low rank and sparse
- adaptive algorithms
- low rank
- nuclear norm
- low rank matrix
- non stationary
- convex optimization
- matrix completion
- matrix factorization
- missing data
- linear combination
- singular value decomposition
- rank minimization
- high dimensional data
- sparse matrix
- data matrix
- semi supervised
- singular values
- high order
- norm minimization
- signal recovery
- multiscale
- convex relaxation
- approximation methods
- principal component analysis
- multiresolution