• DocumentCode
    2949962
  • Title

    Analysis of Max-Product via Local Maxifiers

  • Author

    Winkler, Stephan ; Tatikonda, Sekhar ; Pollard, David

  • Author_Institution
    Program in Appl. Math., Yale Univ., New Haven, CT
  • fYear
    2006
  • fDate
    9-14 July 2006
  • Firstpage
    2689
  • Lastpage
    2693
  • Abstract
    In this paper we study convergence of the max-product (MP) algorithm on general graphs with cycles. Our analysis follows analogously to that given for the convergence of the sum-product algorithm. We do not work with Gibbs measures but instead we introduce and work with local maxifiers. The contributions of this paper include: reformulation of the MP algorithm on cyclic graphs as max-marginalization on an associated computation tree; existence of local maxifiers and proof that uniqueness of the local maxifier is sufficient for convergence of MP; a Gibbsian theory of local maxifiers and interpretation as operators; an example of non-uniqueness which does not exhibit a phase transition like its Gibbs measure counterpart; and insights into the limitations of Dobrushin-type uniqueness conditions
  • Keywords
    trees (mathematics); cyclic graphs; general graphs; local maxifiers; max-marginalization; max-product algorithm; sum-product algorithm; Algorithm design and analysis; Bipartite graph; Convergence; Equations; Error correction codes; Mathematics; Phase measurement; Statistical analysis; Sum product algorithm; Tree graphs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2006 IEEE International Symposium on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    1-4244-0505-X
  • Electronic_ISBN
    1-4244-0504-1
  • Type

    conf

  • DOI
    10.1109/ISIT.2006.262142
  • Filename
    4036461