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Transfer Learning of Mixture Texture Models
SYS 0535433 LBL 01000a^^22220027750^450 005 20240103224840.2 014 $a 85097519102 $2 SCOPUS 017 $a 10.1007/978-3-030-63007-2_65 $2 DOI 100 $a 20201202d m y slo 03 ba 101 $a eng $d eng 102 $a CH 200 1-
$a Transfer Learning of Mixture Texture Models 215 $a 13 s. $c P 463 -1
$1 001 cav_un_epca*0535432 $1 010 $a 978-3-030-63006-5 $1 011 $a 0302-9743 $e 1611-3349 $1 200 1 $a Computational Collective Intelligence $v S. 825-837 $1 210 $c Springer Nature Switzerland AG $a Cham $d 2020 $1 225 $a Lecture Notes in Artificial Intelligence $v 12496 $1 702 1 $4 340 $a Nguyen $b N. T. $1 702 1 $4 340 $a Hoang $b B. H. $1 702 1 $4 340 $a Huynh $b C. P. $1 702 1 $4 340 $a Hwang $b D. $1 702 1 $4 340 $a Trawinski $b B. $1 702 1 $4 340 $a Vossen $b G. 610 $a Texture modeling 610 $a transfer learning 610 $a compound random field model 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 $T Ústav teorie informace a automatizace AV ČR, v. v. i. 856 $u http://library.utia.cas.cz/separaty/2020/RO/haindl-0535433.pdf
Number of the records: 1