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Description
  • The method for complete mixture initialization based on a product kernel estimate of probability density function is proposed for mixture estimation using EM-algorithm. The mixture components are assumed to correspond to local maxima of optimaly smoothed kernel density estimate. The gradient method is used for local extrema finding. As the last step, agglomerative hiearchical clustering methods merges closest components together. A comparison to scale-space approaches is given on examples.
  • The method for complete mixture initialization based on a product kernel estimate of probability density function is proposed for mixture estimation using EM-algorithm. The mixture components are assumed to correspond to local maxima of optimaly smoothed kernel density estimate. The gradient method is used for local extrema finding. As the last step, agglomerative hiearchical clustering methods merges closest components together. A comparison to scale-space approaches is given on examples. (en)
Title
  • Number of components and initialization in Gaussian mixture model for pattern recognition.
  • Number of components and initialization in Gaussian mixture model for pattern recognition. (en)
skos:prefLabel
  • Number of components and initialization in Gaussian mixture model for pattern recognition.
  • Number of components and initialization in Gaussian mixture model for pattern recognition. (en)
skos:notation
  • RIV/67985556:_____/01:16010032!RIV/2003/AV0/A16003/N
http://linked.open.../vavai/riv/strany
  • 406;409
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(KSK1075601), P(VS96063), Z(AV0Z1075907), Z(MSM 210000023)
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
  • 689269
http://linked.open...ai/riv/idVysledku
  • RIV/67985556:_____/01:16010032
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • pattern recognition; Gaussian mixture model; kernel density estimate (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [52D7CC78D88E]
http://linked.open...v/mistoKonaniAkce
  • Prague [CZ]
http://linked.open...i/riv/mistoVydani
  • Wien
http://linked.open...i/riv/nazevZdroje
  • Artificial Neural Nets and Genetic Algorithms. Proceedings.
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...ocetUcastnikuAkce
http://linked.open...nichUcastnikuAkce
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Novovičová, Jana
  • 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
  • Springer-Verlag
https://schema.org/isbn
  • 3-211-83651-9
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