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  Multi-label cooperative cuts

Jegelka, S., & Bilmes, J. (2011). Multi-label cooperative cuts. In CVPR 2011 Workshop on Inference in Graphical Models with Structured Potentials (pp. 1-4).

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Jegelka, S1, Author           
Bilmes, J, Author           
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1Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, DE, ou_1497647              

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 Abstract: Recently, a family of global, non-submodular energy functions has been proposed that is expressed as coupling edges in a graph cut. This formulation provides a rich modelling framework and also leads to efficient approximate inference algorithms. So far, the results addressed binary random variables. Here, we extend these results to the multi-label case, and combine edge coupling with move-making algorithms.

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 Dates: 2011-06
 Publication Status: Published in print
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 Identifiers: BibTex Citekey: JegelkaB2011_4
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Title: CVPR 2011 Workshop on Inference in Graphical Models with Structured Potentials
Place of Event: Colorado Springs, CO, USA
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Title: CVPR 2011 Workshop on Inference in Graphical Models with Structured Potentials
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1 - 4 Identifier: -