Regularizers for structured sparsity.
Charles A. MicchelliJean MoralesMassimiliano PontilPublished in: Adv. Comput. Math. (2013)
Keyphrases
- structured sparsity
- regularization methods
- group sparsity
- total variation
- statistical learning
- edge preserving
- linear combination
- regularization method
- regularization parameter
- compressive sensing
- learning problems
- inverse problems
- group lasso
- convex optimization problems
- structure tensor
- denoising
- sparsity inducing
- machine learning
- mumford shah
- iterative methods
- variable selection
- cross validation
- regression model
- image restoration
- reinforcement learning