Forward-Backward Greedy Algorithms for Atomic Norm Regularization.
Nikhil S. RaoParikshit ShahStephen J. WrightPublished in: IEEE Trans. Signal Process. (2015)
Keyphrases
- forward backward
- greedy algorithms
- norm regularization
- convex optimization
- greedy algorithm
- canonical correlation analysis
- regularization methods
- total variation
- matrix completion
- sparse representation
- hidden markov models
- group lasso
- multiple kernel learning
- loss function
- max margin
- knapsack problem
- edge preserving
- image restoration
- multi class
- variable selection
- denoising
- search algorithm
- image processing
- regression model
- regularization method
- feature selection
- least squares
- low rank
- inverse problems
- partial least squares
- worst case