Keyphrases
- low rank
- rank minimization
- trace norm
- minimization problems
- matrix factorization
- missing data
- group sparsity
- linear combination
- convex optimization
- kernel matrices
- matrix completion
- compressive sensing
- singular value decomposition
- low rank matrix
- least squares
- matrix decomposition
- regularized regression
- high dimensional data
- kernel matrix
- semi supervised
- high order
- robust principal component analysis
- random projections
- covariance matrix
- sparse representation
- affinity matrix
- higher order
- active learning
- image sequences
- structured sparsity
- image segmentation
- image processing