A Message Passing Algorithm for the Minimum Cost Multicut Problem
December 16, 2016 Β· Declared Dead Β· π Computer Vision and Pattern Recognition
"No code URL or promise found in abstract"
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Authors
Paul Swoboda, Bjoern Andres
arXiv ID
1612.05441
Category
cs.DS: Data Structures & Algorithms
Cross-listed
cs.CV
Citations
29
Venue
Computer Vision and Pattern Recognition
Last Checked
3 months ago
Abstract
We propose a dual decomposition and linear program relaxation of the NP -hard minimum cost multicut problem. Unlike other polyhedral relaxations of the multicut polytope, it is amenable to efficient optimization by message passing. Like other polyhedral elaxations, it can be tightened efficiently by cutting planes. We define an algorithm that alternates between message passing and efficient separation of cycle- and odd-wheel inequalities. This algorithm is more efficient than state-of-the-art algorithms based on linear programming, including algorithms written in the framework of leading commercial software, as we show in experiments with large instances of the problem from applications in computer vision, biomedical image analysis and data mining.
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