Sparse Regularization.
Charles-Alban DeledalleNicolas PapadakisJoseph SalmonSamuel VaiterPublished in: J. Math. Imaging Vis. (2021)
Keyphrases
- sparsity regularization
- mixed norm
- structured sparsity
- rank minimization
- elastic net
- high dimensional
- sparsity inducing
- sparse data
- regularization parameter
- compressive sensing
- sparse approximation
- neural network
- kernel matrices
- group lasso
- low rank
- sparse coding
- regularization methods
- sparse matrix
- compressed sensing
- sparsity constraints
- data dependent
- sparse representation
- multiscale
- data sets