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Description
  • Návrh klasifikátoru založeného na nově zavedeném pojmu trenovatelná podobnost navrženého pro klasifikaci obrazů na základě trenovací množiny objektů se známou příslušností do předem definované třídy. Navržený klasifikátor dává lepší výsledky v porovnání s AdaBoost klasifikátorem na reálných datech rozpoznávání chodců. (cs)
  • A design of the second stage of classifier based on the recently proposed trainable similarity measure, which is specifficaly designed for the supervised classification of images. The proposed measure is based on local matches in a set of regions within an image which incrases its robustness. The configuration of local regions is derived specifficaly for each prototype by a training procedure. The comparsion to the state-of-art AdaBoost slassifiers on a real-world pedestrain recognition problem is presented.
  • A design of the second stage of classifier based on the recently proposed trainable similarity measure, which is specifficaly designed for the supervised classification of images. The proposed measure is based on local matches in a set of regions within an image which incrases its robustness. The configuration of local regions is derived specifficaly for each prototype by a training procedure. The comparsion to the state-of-art AdaBoost slassifiers on a real-world pedestrain recognition problem is presented. (en)
Title
  • A trainable similarity measure for image classification
  • Trenovatelná míra podobnosti pro klasifikaci obrazů. (cs)
  • A trainable similarity measure for image classification (en)
skos:prefLabel
  • A trainable similarity measure for image classification
  • Trenovatelná míra podobnosti pro klasifikaci obrazů. (cs)
  • A trainable similarity measure for image classification (en)
skos:notation
  • RIV/67985556:_____/06:00040986!RIV07-AV0-67985556
http://linked.open.../vavai/riv/strany
  • 391;394
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(IAA2075302), Z(AV0Z10750506)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 463891
http://linked.open...ai/riv/idVysledku
  • RIV/67985556:_____/06:00040986
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • trainable similarity measure; image classification (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [5B841958CC2C]
http://linked.open...v/mistoKonaniAkce
  • Hong-Kong
http://linked.open...i/riv/mistoVydani
  • Los Alamitos
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 18th Conference on Pattern Recognition. ICPR 2006
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Novovičová, Jana
  • Duin, R. P. W.
  • Paclík, P.
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • IEEE
https://schema.org/isbn
  • 0-7695-2521-0
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