Keyphrases
- low rank
- low rank matrix
- rank minimization
- knowledge discovery
- low rank subspace
- matrix factorization
- low rank representation
- convex optimization
- matrix completion
- missing data
- singular value decomposition
- linear combination
- robust principal component analysis
- high order
- semi supervised
- singular values
- matrix decomposition
- kernel matrix
- high dimensional data
- norm minimization
- data mining
- trace norm
- non rigid structure from motion
- data analysis
- foreground detection
- data matrix
- low rank and sparse
- pattern recognition
- machine learning