Local Linear Convergence of the ADMM/Douglas-Rachford Algorithms without Strong Convexity and Application to Statistical Imaging.
Timo AspelmeierC. CharithaD. Russell LukePublished in: SIAM J. Imaging Sci. (2016)
Keyphrases
- computer vision
- orders of magnitude
- computational complexity
- computational cost
- iterative algorithms
- convex optimization
- theoretical analysis
- image processing
- learning algorithm
- significant improvement
- evolutionary algorithm
- statistical analysis
- computationally efficient
- data structure
- medical imaging
- statistical models
- neural network