Graph-Structured Sparse Regularization Via Convex Optimization.
Hiroki KurodaDaichi KitaharaPublished in: ICASSP (2022)
Keyphrases
- convex optimization
- norm regularization
- basis pursuit
- low rank and sparse
- inverse problems
- group lasso
- norm minimization
- low rank
- convex relaxation
- sparse approximation
- total variation
- solution path
- convex formulation
- rank minimization
- interior point methods
- augmented lagrangian
- low rank matrix
- regularization methods
- high dimensional
- kernel matrices
- signal recovery
- primal dual
- convex optimization problems
- trace norm
- minimization problems
- augmented lagrangian method
- compressed sensing
- image processing
- operator splitting
- sparse representation
- sparse coding
- pairwise