Sparse Convex Optimization via Adaptively Regularized Hard Thresholding.
Kyriakos AxiotisMaxim SviridenkoPublished in: CoRR (2020)
Keyphrases
- convex optimization
- norm minimization
- basis pursuit
- denoising
- hard thresholding
- low rank matrix
- total variation
- low rank
- interior point methods
- group lasso
- primal dual
- convex relaxation
- sparse representation
- convex optimization problems
- trace norm
- image denoising
- compressed sensing
- signal recovery
- regularization methods
- higher order
- sparse matrix
- image sequences
- orthogonal matching pursuit
- natural images
- kernel matrix
- sparse coding