A Fast Data-Driven Iteratively Regularized Method with Convex Penalty for Solving Ill-Posed Problems.
Guangyu GaoBo HanZhenwu FuShanshan TongPublished in: SIAM J. Imaging Sci. (2023)
Keyphrases
- data driven
- objective function
- detection method
- computational cost
- synthetic data
- linearly constrained
- data sets
- classification method
- significant improvement
- preprocessing
- support vector machine
- least squares
- denoising
- high accuracy
- dynamic programming
- segmentation algorithm
- pairwise
- high precision
- combinatorial optimization
- linear constraints
- computational complexity