Keyphrases
- low rank
- convex optimization
- missing data
- linear combination
- matrix factorization
- singular value decomposition
- low rank matrix
- high order
- matrix decomposition
- matrix completion
- high dimensional data
- kernel matrix
- semi supervised
- rank minimization
- data matrix
- trace norm
- minimization problems
- low rank matrices
- robust principal component analysis
- vector space
- low rank representation
- neural network
- affinity matrix
- nearest neighbor
- active learning