Forward - Backward Greedy Algorithms for Atomic Norm Regularization.
Nikhil S. RaoParikshit ShahStephen J. WrightPublished in: CoRR (2014)
Keyphrases
- greedy algorithms
- forward backward
- norm regularization
- convex optimization
- greedy algorithm
- canonical correlation analysis
- regularization methods
- total variation
- matrix completion
- sparse representation
- hidden markov models
- multiple kernel learning
- loss function
- group lasso
- max margin
- multi class
- search algorithm
- knapsack problem
- low rank
- feature selection
- image restoration
- image denoising
- inverse problems
- least squares
- regression model
- linear combination
- regularization method
- worst case
- dynamic programming
- kernel methods
- partial least squares
- image representation
- natural images
- pairwise
- learning algorithm