Keyphrases
- low rank
- tensor decomposition
- low rank matrix
- rank minimization
- low rank subspace
- low rank matrices
- nuclear norm
- sparsity constraints
- low rank representation
- kernel matrices
- linear combination
- sparse linear
- missing data
- convex optimization
- matrix factorization
- robust principal component analysis
- singular value decomposition
- matrix completion
- group sparsity
- regularized regression
- high order
- low rank approximation
- semi supervised
- kernel matrix
- matrix decomposition
- high dimensional data
- auxiliary information
- data matrix
- trace norm
- machine learning
- singular values
- collaborative filtering
- minimization problems
- affinity matrix
- sparse coding
- binary matrix
- kernel methods
- sparse representation
- higher order
- least squares
- pairwise
- feature space
- feature extraction