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Description
  • Velké množství příznaků komplikuje realizaci rozpoznávaciho procesu a prodlužuje čas rozhodovacího procesu. (cs)
  • A big number of monitored features in examined objects often complicates a technical realization of decision-making and extends the time necessary for providing a decision. It is possible to decrease dimensionality of the tasks and along with not to decrease a quality of decision-making. The main subject of this contribution relates to some of the possible approaches. Basis of these methods stays in finding a linear transformation of original m-dimensional space of features into a new n-dimensional feature space where n pound m. New features are arisen by suitable linear combination of original features and they are descending sorted according to their variance. The contribution describes experience and results obtained with the decreasing of feature space and the classification of sets of the objects which where represented by real pictures of the Earth surface.
  • A big number of monitored features in examined objects often complicates a technical realization of decision-making and extends the time necessary for providing a decision. It is possible to decrease dimensionality of the tasks and along with not to decrease a quality of decision-making. The main subject of this contribution relates to some of the possible approaches. Basis of these methods stays in finding a linear transformation of original m-dimensional space of features into a new n-dimensional feature space where n pound m. New features are arisen by suitable linear combination of original features and they are descending sorted according to their variance. The contribution describes experience and results obtained with the decreasing of feature space and the classification of sets of the objects which where represented by real pictures of the Earth surface. (en)
Title
  • Dimension decreasing of featurespace
  • Dimension decreasing of featurespace (en)
  • Snížení dimenzionality příznakového prostoru (cs)
skos:prefLabel
  • Dimension decreasing of featurespace
  • Dimension decreasing of featurespace (en)
  • Snížení dimenzionality příznakového prostoru (cs)
skos:notation
  • RIV/67985556:_____/08:00314911!RIV09-AV0-67985556
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • 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
  • 363685
http://linked.open...ai/riv/idVysledku
  • RIV/67985556:_____/08:00314911
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • decision; feature space; dimension reduction; Karhunen - Loeve transformation; principal component method (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [00A5339860F5]
http://linked.open...v/mistoKonaniAkce
  • Athens
http://linked.open...i/riv/mistoVydani
  • Košice
http://linked.open...i/riv/nazevZdroje
  • Proceedings on the International Conference on Applied Electrical Engineering and Informatics 2008
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Zolotová, I.
  • Klimešová, Dana
  • Ocelíková, E.
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
  • Technická univerzita v Košiciach
https://schema.org/isbn
  • 978-80-553-0066-5
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