Efficient exact inference in planar ising models

Nicol N. Schraudolph*, Dmitry Kamenetsky

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    37 Citations (Scopus)

    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/.

    Original languageEnglish
    Title of host publicationAdvances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference
    PublisherNeural Information Processing Systems
    Pages1417-1424
    Number of pages8
    ISBN (Print)9781605609492
    Publication statusPublished - 2009
    Event22nd Annual Conference on Neural Information Processing Systems, NIPS 2008 - Vancouver, BC, Canada
    Duration: 8 Dec 200811 Dec 2008

    Publication series

    NameAdvances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference

    Conference

    Conference22nd Annual Conference on Neural Information Processing Systems, NIPS 2008
    Country/TerritoryCanada
    CityVancouver, BC
    Period8/12/0811/12/08

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