Number of the records: 1
Density-Approximating Neural Network Models for Anomaly Detection
SYS 0507118 LBL 01000a^^22220027750^450 005 20240103222343.1 017 $2 DOI 100 $a 20190731d m y slo 03 ba 101 $a eng $d eng 102 $a US 200 1-
$a Density-Approximating Neural Network Models for Anomaly Detection 215 $a 8 s. $c E 463 -1
$1 001 cav_un_epca*0507117 $1 010 $a 978-1-4503-5552-0 $1 200 1 $a ACM SIGKDD 2018 Workshop $v S. 1-8 $1 210 $a New York $c ACM $d 2018 610 $a neural network 610 $a anomaly detection 700 -1
$3 cav_un_auth*0377825 $a Flusser $b M. $y CZ 701 -1
$3 cav_un_auth*0307300 $a Pevný $b T. $y CZ 701 -1
$3 cav_un_auth*0101197 $a Somol $b Petr $p UTIA-B $i Rozpoznávání obrazu $j Department of Pattern Recognition $k RO $l RO $w Department of Pattern Recognition $T Ústav teorie informace a automatizace AV ČR, v. v. i. 856 $u http://library.utia.cas.cz/separaty/2019/RO/somol-0507118.pdf
Number of the records: 1