Linear Inverse Problems with Norm and Sparsity Constraints.
Volkan CevherSina JafarpourAnastasios KyrillidisPublished in: CoRR (2015)
Keyphrases
- sparsity constraints
- sparse representation
- total least squares
- regularized least squares
- negative matrix factorization
- sparse coding
- low rank
- nonnegative matrix factorization
- dictionary learning
- limited angle
- image classification
- objective function
- data sets
- image restoration
- global constraints
- natural images
- missing data
- linear combination
- convex optimization
- matrix factorization
- image representation
- maximum likelihood
- least squares
- multiscale