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Empirical Inference Conference Paper 2011

Multi-label cooperative cuts

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Empirical Inference
Jeff Bilmes
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Empirical Inference
Stefanie Jegelka

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.

Author(s): Jegelka, S. and Bilmes, J.
Pages: 1-4
Year: 2011
Month: June
Day: 0
Bibtex Type: Conference Paper (inproceedings)
Event Name: CVPR 2011 Workshop on Inference in Graphical Models with Structured Potentials
Event Place: Colorado Springs, CO, USA
Digital: 0
Electronic Archiving: grant_archive
Links:

BibTex 

@inproceedings{JegelkaB2011_4,
  title = {Multi-label cooperative cuts},
  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.},
  pages = {1-4},
  month = jun,
  year = {2011},
  slug = {jegelkab2011_4},
  author = {Jegelka, S. and Bilmes, J.},
  month_numeric = {6}
}