-norm and DC regularized factorizations for low-rank matrix recovery.
Shujun BiTing TaoShaohua PanPublished in: CoRR (2019)
Keyphrases
- low rank matrix recovery
- norm minimization
- low rank and sparse
- low rank
- convex optimization
- robust principal component analysis
- sparse representation
- robust face recognition
- object detection
- matrix factorization
- low rank matrix
- objective function
- signal recovery
- linear combination
- salient object detection
- high order
- missing data
- unsupervised feature selection
- convex functions
- data analysis
- least squares
- nonnegative matrix factorization
- total variation
- high dimensional data