Mixed-norm Regularization for Brain Decoding.
Rémi FlamaryNisrine JradRonald PhlypoMarco CongedoAlain RakotomamonjyPublished in: CoRR (2014)
Keyphrases
- norm regularization
- convex optimization
- canonical correlation analysis
- regularization methods
- sparse representation
- total variation
- group lasso
- matrix completion
- multiple kernel learning
- loss function
- max margin
- regression model
- variable selection
- low rank
- feature selection
- image restoration
- multi class
- inverse problems
- high dimensional data
- solution path
- feature extraction