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Multi-label cooperative cuts


Conference Paper


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

Department(s): Empirical Inference
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

Links: PDF


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