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
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