Keyphrases
- robust principal component analysis
- low rank
- singular value decomposition
- nuclear norm
- convex optimization
- low rank and sparse
- high order
- low rank matrix
- minimization problems
- dimensionality reduction
- higher order
- convex relaxation
- convex programming
- rank minimization
- pairwise
- globally optimal
- image segmentation
- feature selection
- least squares