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An Automatic Tortoise Specimen Recognition
SYS 0471594 LBL 01000a^^22220027750^450 005 20240103213656.7 014 $a 85013427985 $2 SCOPUS 014 $a 000418399200007 $2 WOS 017 $a 10.1007/978-3-319-52277-7_7 $2 DOI 100 $a 20170224d m y slo 03 ba 101 $a eng $d eng 102 $a DE 200 1-
$a An Automatic Tortoise Specimen Recognition 215 $a 8 s. $c P 463 -1
$1 001 cav_un_epca*0471591 $1 010 $a 978-3-319-52276-0 $1 200 1 $a Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 21st Iberoamerican Congress, CIARP 2016 $v S. 52-59 $1 210 $a Cham $c Springer International Publishing $d 2017 $1 225 $a Lecture Notes in Computer Science $v 10125 $1 702 1 $4 340 $a Beltran-Castanon $b C. $1 702 1 $4 340 $a Nystrom $b I. $1 702 1 $4 340 $a Famili $b F. 610 $a Tortoise recognition 610 $a Testudo graeca 700 -1
$3 cav_un_auth*0320130 $a Sedláček $b Matěj $i Rozpoznávání obrazu $j Department of Pattern Recognition $k RO $l RO $p UTIA-B $w Department of Pattern Recognition $y CZ $T Ústav teorie informace a automatizace AV ČR, v. v. i. 701 -1
$3 cav_un_auth*0101093 $a Haindl $b Michal $i Rozpoznávání obrazu $j Department of Pattern Recognition $k RO $l RO $p UTIA-B $w Department of Pattern Recognition $T Ústav teorie informace a automatizace AV ČR, v. v. i. 701 -1
$3 cav_un_auth*0345927 $a Formanová $b D. $y CZ 856 $u http://library.utia.cas.cz/separaty/2017/RO/sedlacek-0471594.pdf
Number of the records: 1