Keyphrases
- low rank
- rank minimization
- image classification
- low rank matrix
- low rank subspace
- low rank representation
- linear combination
- robust principal component analysis
- matrix factorization
- matrix decomposition
- approximation methods
- missing data
- matrix completion
- convex optimization
- singular value decomposition
- semi supervised
- kernel matrix
- feature extraction
- high dimensional data
- high order
- low rank approximation
- minimization problems
- trace norm
- data matrix
- image representation
- sparse coding
- visual words
- norm minimization
- image features
- low rank matrices
- singular values
- data sets
- low rank and sparse
- similarity measure