Mixed-Norm Regularization for Brain Decoding.
Rémi FlamaryNisrine JradRonald PhlypoMarco CongedoAlain RakotomamonjyPublished in: Comput. Math. Methods Medicine (2014)
Keyphrases
- norm regularization
- convex optimization
- canonical correlation analysis
- matrix completion
- regularization methods
- total variation
- sparse representation
- group lasso
- loss function
- multiple kernel learning
- multi class
- max margin
- feature selection
- kernel learning
- inverse problems
- variable selection
- low rank
- image denoising