A proximal alternating linearization method for nonconvex optimization problems.
Dan LiLi-Ping PangShuang ChenPublished in: Optim. Methods Softw. (2014)
Keyphrases
- optimization problems
- objective function
- cost function
- high precision
- evolutionary algorithm
- similarity measure
- preprocessing
- pairwise
- experimental evaluation
- segmentation method
- synthetic data
- detection method
- clustering method
- image sequences
- prior knowledge
- classification accuracy
- dynamic programming
- linear programming
- support vector machine svm
- k means
- computational complexity
- energy function
- video sequences
- multiscale
- global optimization
- constrained optimization