Keyphrases
- low rank
- missing data
- linear combination
- convex optimization
- matrix factorization
- low rank matrix
- singular value decomposition
- covariance matrix
- semi supervised
- matrix completion
- high dimensional data
- kernel matrix
- rank minimization
- least squares
- matrix decomposition
- high order
- trace norm
- data matrix
- robust principal component analysis
- minimization problems
- small number
- singular values
- non rigid structure from motion
- low rank matrices
- pattern recognition
- low rank and sparse
- missing values