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Approximating Probability Densities by Mixtures of Gaussian Dependence Trees

  1. 1.
    SYSNO0435901
    TitleApproximating Probability Densities by Mixtures of Gaussian Dependence Trees
    Author(s) Grim, Jiří (UTIA-B) [RO] RID, ORCID
    Source Title Stochastic and Physical Monitoring Systems, SPMS 2014. - Praha : ČVUT, 2014
    Conference Stochastic and Physical Monitoring Systems SPMS 2014, Malá Skála, 23.06.2014-28.06.2014
    Document TypeKonferenční příspěvek (zahraniční konf.)
    Grant GA14-02652S GA ČR - Czech Science Foundation (CSF), CZ - Czech Republic
    GA14-10911S GA ČR - Czech Science Foundation (CSF), CZ - Czech Republic
    Institutional supportUTIA-B - RVO:67985556
    Languageeng
    CountryCZ
    Keywords Multivariate statistics * Mixtures of dependence trees * EM algorithm * Pattern recognition * Medical image analysis
    URL http://library.utia.cas.cz/separaty/2014/RO/grim-0435901.pdf
    Permanent Linkhttp://hdl.handle.net/11104/0241872
     
Number of the records: 1  

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