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Approximating Probability Densities by Mixtures of Gaussian Dependence Trees
SYS 0435901 LBL 02292^^^^^2200361^^^450 005 20240103205138.8 100 $a 20150106d m y slo 03 ba 101 0-
$a eng $d eng 102 $a CZ 200 1-
$a Approximating Probability Densities by Mixtures of Gaussian Dependence Trees 215 $a 13 s. $c P 463 -1
$1 001 cav_un_epca*0438489 $1 010 $a 978-80-01-05616-5 $1 200 1 $a Stochastic and Physical Monitoring Systems, SPMS 2014 $1 210 $a Praha $c ČVUT $d 2014 610 0-
$a Multivariate statistics 610 0-
$a Mixtures of dependence trees 610 0-
$a EM algorithm 610 0-
$a Pattern recognition 610 0-
$a Medical image analysis 700 -1
$3 cav_un_auth*0101091 $a Grim $b Jiří $i Rozpoznávání obrazu $j Department of Pattern Recognition $k RO $l RO $p UTIA-B $w Department of Pattern Recognition $4 070 $9 100 $T Ústav teorie informace a automatizace AV ČR, v. v. i. 856 $u http://library.utia.cas.cz/separaty/2014/RO/grim-0435901.pdf
Number of the records: 1