Sparse Convex Optimization via Adaptively Regularized Hard Thresholding.
Kyriakos AxiotisMaxim SviridenkoPublished in: J. Mach. Learn. Res. (2021)
Keyphrases
- convex optimization
- basis pursuit
- norm minimization
- denoising
- hard thresholding
- total variation
- low rank matrix
- low rank
- image denoising
- interior point methods
- group lasso
- primal dual
- noisy images
- inverse problems
- trace norm
- regularization methods
- convex optimization problems
- sparse representation
- convex relaxation
- compressed sensing
- sparse matrix
- dimensionality reduction
- gaussian noise
- computer vision
- image reconstruction
- wavelet coefficients
- image quality
- signal processing
- higher order
- video sequences