Efficient Exact Inference in Planar Ising Models

N. Schraudolph,D. Kamenetsky

Published 2008 in Neural Information Processing Systems

ABSTRACT

We give polynomial-time algorithms for the exact computation of lowest-energy states, worst margin violators, partition functions, and marginals in certain binary undirected graphical models. Our approach provides an interesting alternative to the well-known graph cut paradigm in that it does not impose any submodularity constraints; instead we require planarity to establish a correspondence with perfect matchings in an expanded dual graph. Maximum-margin parameter estimation for a boundary detection task shows our approach to be efficient and effective. A C++ implementation is available from http://nic.schraudolph.org/isinf/.

PUBLICATION RECORD

  • Publication year

    2008

  • Venue

    Neural Information Processing Systems

  • Publication date

    2008-10-24

  • Fields of study

    Mathematics, Physics, Computer Science

  • Identifiers
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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