-shrinkage thresholding algorithm for low rank matrix recovery.
Yu-Fan LiKun ShangZheng-Hai HuangPublished in: Comput. Optim. Appl. (2019)
Keyphrases
- thresholding algorithm
- low rank matrix recovery
- low rank
- robust face recognition
- object detection
- low rank and sparse
- sparse representation
- convex optimization
- low rank matrix
- salient object detection
- denoising
- image denoising
- missing data
- linear combination
- singular value decomposition
- face recognition
- semi supervised
- feature analysis
- matrix factorization
- high order
- signal recovery
- data sets
- hierarchical bayesian model
- high dimensional data
- subspace learning
- varying illumination
- multi class