Iterated Hard Shrinkage for Minimization Problems with Sparsity Constraints.
Kristian BrediesDirk A. LorenzPublished in: SIAM J. Sci. Comput. (2008)
Keyphrases
- minimization problems
- sparsity constraints
- low rank
- total variation
- missing data
- denoising
- matrix factorization
- convex optimization
- linear combination
- image denoising
- singular value decomposition
- semi supervised
- high order
- high dimensional data
- sparse representation
- kernel matrix
- collaborative filtering
- negative matrix factorization
- nonnegative matrix factorization
- sparse coding
- computer vision
- dimensionality reduction
- global constraints
- image processing