Keyphrases
- low rank
- matrix factorization
- missing data
- convex optimization
- linear combination
- low rank matrix
- matrix completion
- singular value decomposition
- rank minimization
- high order
- matrix decomposition
- high dimensional data
- kernel matrix
- data matrix
- singular values
- semi supervised
- low rank representation
- low rank matrices
- robust principal component analysis
- trace norm
- feature selection
- data mining
- minimization problems
- low rank approximation
- similarity measure
- image segmentation