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A Class of Random Fields on Complete Graphs with Tractable Partition Function

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00206477" target="_blank" >RIV/68407700:21230/13:00206477 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/TPAMI.2013.99" target="_blank" >http://dx.doi.org/10.1109/TPAMI.2013.99</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/TPAMI.2013.99" target="_blank" >10.1109/TPAMI.2013.99</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Class of Random Fields on Complete Graphs with Tractable Partition Function

  • Original language description

    The aim of this short note is to draw attention to a method by which the partition function and marginal probabilities for a certain class of random fields on complete graphs can be computed in polynomial time. This class includes Ising models with homogeneous pairwise potentials but arbitrary (inhomogeneous) unary potentials. Similarly, the partition function and marginal probabilities can be computed in polynomial time for random fields on complete bipartite graphs, provided they have homogeneous pairwise potentials. We expect that these tractable classes of large scale random fields can be very useful for the evaluation of approximation algorithms by providing exact error estimates.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GAP202%2F12%2F2071" target="_blank" >GAP202/12/2071: Structured Statistical Models for Image Understanding</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2013

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    IEEE Transactions on Pattern Analysis and Machine Intelligence

  • ISSN

    0162-8828

  • e-ISSN

  • Volume of the periodical

    35

  • Issue of the periodical within the volume

    9

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    3

  • Pages from-to

    2304-2306

  • UT code for WoS article

    000322029000019

  • EID of the result in the Scopus database