A survey of sparse regularization based compression methods.
Anda TangPei QuanLingfeng NiuYong ShiPublished in: ITQM (2021)
Keyphrases
- mixed norm
- sparsity regularization
- structured sparsity
- elastic net
- rank minimization
- sparsity inducing
- sparse data
- sparse coding
- group lasso
- variable selection
- high dimensional
- sparse approximation
- regularization parameter
- sparse representation
- multi class
- kernel matrices
- regularization method
- reproducing kernel hilbert space
- regularization framework
- inverse problems
- data sets
- random projections
- prior information
- regression model
- linear combination
- multiscale