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Description
  • Článek dává přehled technik výběru příznaků ve statistickém rozpoznávání s důrazem na aktuální poznatky. Nejen diskutuje pokroky v metodologii ale tvoří z nich taxonomii. Disutují se mimo jiné poslední varianty optimálních algoritmů, pokročilé suboptimální techniky a souběžné semi-parametrické modelování hustot pravděpodobnosti s výběrem podprostoru. (cs)
  • The paper dives an overview of feature selection techiques in statistical pattern recognition with particular emphasis to recent knowledge. Besides discussing the advances in methodology it attempts to put them into a taxonomical framework. The methods discussed include the latest variants of the optimal algorithms, enhanced sub-optimal techniques and the simultaneous semi-parametric probability density function modeling and feature space selection method.
  • The paper dives an overview of feature selection techiques in statistical pattern recognition with particular emphasis to recent knowledge. Besides discussing the advances in methodology it attempts to put them into a taxonomical framework. The methods discussed include the latest variants of the optimal algorithms, enhanced sub-optimal techniques and the simultaneous semi-parametric probability density function modeling and feature space selection method. (en)
Title
  • An overview of feature selection techniques in statistical pattern recognition
  • Přehled technik výběru příznaků ve statistickém rozpoznávání obrazů (cs)
  • An overview of feature selection techniques in statistical pattern recognition (en)
skos:prefLabel
  • An overview of feature selection techniques in statistical pattern recognition
  • Přehled technik výběru příznaků ve statistickém rozpoznávání obrazů (cs)
  • An overview of feature selection techniques in statistical pattern recognition (en)
skos:notation
  • RIV/67985556:_____/05:00026304!RIV06-AV0-67985556
http://linked.open.../vavai/riv/strany
  • 1;14
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1M0572), P(GA402/03/1310), 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
  • 511970
http://linked.open...ai/riv/idVysledku
  • RIV/67985556:_____/05:00026304
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • feature selection; tutorial (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [1CA15D67AA05]
http://linked.open...v/mistoKonaniAkce
  • Cape Town
http://linked.open...i/riv/mistoVydani
  • Cape Town
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the Sixtheenth Annual Symposium of the Pattern Recognition Association of South Africa
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
  • Pudil, Pavel
  • Somol, Petr
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
  • University of Cape Town
https://schema.org/isbn
  • 0-7992-2264-X
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