Grouping Total Variation and Sparsity: Statistical Learning with Segmenting Penalties.
Michael EickenbergElvis DohmatobBertrand ThirionGaël VaroquauxPublished in: MICCAI (1) (2015)
Keyphrases
- statistical learning
- total variation
- sparsity inducing
- structured sparsity
- basis pursuit
- image restoration
- denoising
- image denoising
- convex optimization
- supervised learning
- regularization term
- model selection
- minimization problems
- image processing
- regularization methods
- high dimensional
- information theory
- image segmentation
- sparse representation
- data sets
- multiresolution
- manifold learning
- semi supervised learning
- pairwise
- edge preserving
- super resolution
- low dimensional
- group lasso
- dimensionality reduction
- reinforcement learning
- information extraction