Total Variation and Euler's Elastica for Supervised Learning.
Tong LinHanlin XueLing WangHongbin ZhaPublished in: ICML (2012)
Keyphrases
- total variation
- supervised learning
- augmented lagrangian method
- image restoration
- denoising
- image denoising
- convex optimization
- regularization methods
- augmented lagrangian
- regularization term
- color image restoration
- blind deconvolution
- total variation regularization
- minimization problems
- image processing
- total variation minimization
- training data
- semi supervised
- image deblurring
- image inpainting
- fidelity term
- noisy images
- active learning
- dual formulation
- multiplicative noise removal
- training set
- machine learning
- operator splitting
- natural images
- multiresolution