Keyphrases
- low rank
- trace norm
- rank minimization
- minimization problems
- kernel matrices
- singular value decomposition
- linear combination
- matrix completion
- missing data
- convex optimization
- matrix decomposition
- low rank matrix
- matrix factorization
- semi supervised
- least squares
- kernel matrix
- low rank approximation
- high order
- high dimensional data
- regularized regression
- random sampling
- factorization methods
- singular values
- multi task
- low rank and sparse
- feature extraction
- norm minimization
- nuclear norm
- robust principal component analysis
- affinity matrix
- small number
- binary matrix