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3D Multi-frequency Fully Correlated Causal Random Field Texture Model
SYS 0522438 LBL 01000a^^22220027750^450 005 20240103223800.6 014 $a 85081552252 $2 SCOPUS 017 $a 10.1007/978-3-030-41299-9_33 $2 DOI 100 $a 20200224d m y slo 03 ba 101 $a eng $d eng 102 $a CH 200 1-
$a 3D Multi-frequency Fully Correlated Causal Random Field Texture Model 215 $a 12 s. $c P 463 -1
$1 001 cav_un_epca*0522437 $1 010 $a 978-3-030-41298-2 $1 011 $a 0302-9743 $e 1611-3349 $1 200 1 $a Pattern Recognition $v S. 423-434 $1 210 $a Cham $c Springer International Publishing $d 2020 $1 225 $a Lecture Notes in Computer Science $v 12047 $1 702 1 $4 340 $a Palaiahnakote $b Shivakumara $1 702 1 $4 340 $a Sanniti di Baja $b Gabriella $1 702 1 $4 340 $a Wang $b Liang $1 702 1 $4 340 $a Yan $b Wei Qi 610 $a texture modeling 610 $a Markov random field 610 $a Bidirectional Texture Function 700 -1
$3 cav_un_auth*0101093 $a Haindl $b Michal $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. 701 -1
$3 cav_un_auth*0101100 $a Havlíček $b Vojtěch $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/2020/RO/haindl-0522438.pdf
Number of the records: 1