• Corpus ID: 120523779

# MAX-CSP, Graph Cuts and Statistical Physics

@article{Wang2014MAXCSPGC,
title={MAX-CSP, Graph Cuts and Statistical Physics},
author={Yi-Kai Wang},
journal={arXiv: Data Structures and Algorithms},
year={2014}
}
• Yi-Kai Wang
• Published 30 November 2014
• Computer Science, Mathematics
• arXiv: Data Structures and Algorithms
The theoretical models providing mathematical abstractions for several significant optimization problems in machine learning, combinatorial optimization, computer vision and statistical physics have intrinsic similarities. We propose a unified framework to model these computation tasks where the structures of these optimization problems are encoded by functions attached on the vertices and edges of a graph. We show that computing MAX 2-CSP admits polynomial-time approximation scheme (PTAS) on…
1 Citations

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