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On minimization of multivariate entropy functionals

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    SYSNO ASEP0356510
    Document TypeC - Proceedings Paper (int. conf.)
    R&D Document TypeConference Paper
    TitleOn minimization of multivariate entropy functionals
    Author(s) Csiszár, I. (HU)
    Matúš, František (UTIA-B) RID
    Source TitleProceedings of the 2009 IEEE Information Theory Workshop on Networking and Information. - Volos : IEEE, 2009 - ISBN 978-1-4244-4535-6
    Pagess. 96-100
    Number of pages5 s.
    Publication formWWW - WWW
    ActionIEEE Information Theory Workshop on Networking and Information Theory 2009
    Event date10.06.2009-12.06.2009
    VEvent locationVolos
    CountryGR - Greece
    Event typeWRD
    Languageeng - English
    CountryGR - Greece
    Keywordsconvex integral functionals ; entropy ; f-divergence ; Bregman distance
    Subject RIVBD - Theory of Information
    R&D ProjectsGA201/08/0539 GA ČR - Czech Science Foundation (CSF)
    IAA100750603 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR)
    CEZAV0Z10750506 - UTIA-B (2005-2011)
    AnnotationThe problem of minimizing convex integral functionals subject to moment-like constraints is treated in a general setting when the underlying convex function may be multivariate, perhaps not strictly convex or differentiable. The results are applied to the minimization of $f$-divergences simultaneously in both variables.
    WorkplaceInstitute of Information Theory and Automation
    ContactMarkéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
    Year of Publishing2011
Number of the records: 1  

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