Sparsity via Sparse Group k-max Regularization.
Qinghua TaoXiangming XiJun XuJohan A. K. SuykensPublished in: CoRR (2024)
Keyphrases
- mixed norm
- sparse approximation
- sparse representation
- sparsity inducing
- sparsity constraints
- high dimensional
- group lasso
- basis pursuit
- sparsity regularization
- multi class
- variable selection
- structured sparsity
- norm regularization
- elastic net
- denoising
- negative matrix factorization
- sparse data
- rank minimization
- linear combination
- total least squares
- convex optimization
- regularization methods
- compressive sampling
- sparse approximations
- regularized regression
- tensor factorization
- compressive sensing
- group members
- gaussian process
- low rank
- sparse coding
- regression model
- model selection
- collaborative filtering