A Preconditioned Difference of Convex Algorithm for Truncated Quadratic Regularization with Application to Imaging.
Shengxiang DengHongpeng SunPublished in: J. Sci. Comput. (2021)
Keyphrases
- detection algorithm
- k means
- objective function
- preprocessing
- dynamic programming
- learning algorithm
- optimal solution
- computational complexity
- prior information
- cost function
- globally optimal
- convex hull
- segmentation algorithm
- expectation maximization
- convex formulation
- convergence rate
- piecewise linear
- parameter selection
- linear programming
- energy function
- particle swarm optimization
- medical images
- worst case
- probabilistic model
- high resolution
- image segmentation