Keyphrases
- mixed norm
- sparse approximation
- convex optimization
- sparsity inducing
- basis pursuit
- group lasso
- structured sparsity
- sparse representation
- sparsity constraints
- high dimensional
- norm regularization
- variable selection
- denoising
- regularization term
- low rank matrices
- sparsity regularization
- linear combination
- robust principal component analysis
- global optimization
- regression model
- image restoration and reconstruction
- total least squares
- objective function
- elastic net
- sparse regression
- rank minimization
- low rank
- total variation
- optimization problems
- sparse reconstruction
- face recognition
- dictionary learning
- regularized regression