Variational Regularization in Inverse Problems and Machine Learning.
Martin BurgerPublished in: CoRR (2021)
Keyphrases
- inverse problems
- machine learning
- image reconstruction
- global optimization
- regularization methods
- convex optimization
- regularization method
- optimization methods
- optimization problems
- partial differential equations
- computer vision
- optical flow
- pattern recognition
- model selection
- early vision
- simulated annealing
- super resolution
- computationally expensive
- pairwise
- total variation
- objective function
- multiscale
- high quality
- image segmentation
- feature selection