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0435901 - ÚTIA 2015 RIV CZ eng C - Konferenční příspěvek (zahraniční konf.)
Grim, Jiří
Approximating Probability Densities by Mixtures of Gaussian Dependence Trees.
Stochastic and Physical Monitoring Systems, SPMS 2014. Praha: ČVUT, 2014. ISBN 978-80-01-05616-5.
[Stochastic and Physical Monitoring Systems SPMS 2014. Malá Skála (CZ), 23.06.2014-28.06.2014]
Grant CEP: GA ČR(CZ) GA14-02652S; GA ČR(CZ) GA14-10911S
Institucionální podpora: RVO:67985556
Klíčová slova: Multivariate statistics * Mixtures of dependence trees * EM algorithm * Pattern recognition * Medical image analysis
Kód oboru RIV: IN - Informatika
http://library.utia.cas.cz/separaty/2014/RO/grim-0435901.pdf
Trvalý link: http://hdl.handle.net/11104/0241872
Grim, Jiří
Approximating Probability Densities by Mixtures of Gaussian Dependence Trees.
Stochastic and Physical Monitoring Systems, SPMS 2014. Praha: ČVUT, 2014. ISBN 978-80-01-05616-5.
[Stochastic and Physical Monitoring Systems SPMS 2014. Malá Skála (CZ), 23.06.2014-28.06.2014]
Grant CEP: GA ČR(CZ) GA14-02652S; GA ČR(CZ) GA14-10911S
Institucionální podpora: RVO:67985556
Klíčová slova: Multivariate statistics * Mixtures of dependence trees * EM algorithm * Pattern recognition * Medical image analysis
Kód oboru RIV: IN - Informatika
http://library.utia.cas.cz/separaty/2014/RO/grim-0435901.pdf
Trvalý link: http://hdl.handle.net/11104/0241872