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Description
  • This paper uses a simple modification of classic Kohonen network (SOM), which allows parallel processing of input data vectors or partitioning the problem in case of insufficient memory for all vectors from the training set for computation of SOM by CUDA on YearPredictionMSD Data Set. The algorithm, presented in previous paper pre-selects potential centroids of data clusters and uses them as weight vectors in the final SOM network. The sutability of this algorithm has been already demonstrated on images as well as on two well-known datasets of hand-written digits
  • This paper uses a simple modification of classic Kohonen network (SOM), which allows parallel processing of input data vectors or partitioning the problem in case of insufficient memory for all vectors from the training set for computation of SOM by CUDA on YearPredictionMSD Data Set. The algorithm, presented in previous paper pre-selects potential centroids of data clusters and uses them as weight vectors in the final SOM network. The sutability of this algorithm has been already demonstrated on images as well as on two well-known datasets of hand-written digits (en)
Title
  • Using two-step modified parallel SOM for song year prediction
  • Using two-step modified parallel SOM for song year prediction (en)
skos:prefLabel
  • Using two-step modified parallel SOM for song year prediction
  • Using two-step modified parallel SOM for song year prediction (en)
skos:notation
  • RIV/61989100:27240/11:86081086!RIV12-MSM-27240___
http://linked.open...avai/riv/aktivita
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  • 237425
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  • RIV/61989100:27240/11:86081086
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  • YearPredictionMSD Data Set; SOM; parallel computation; Kohonen Network (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • DE - Spolková republika Německo
http://linked.open...ontrolniKodProRIV
  • [8FB593D7C0E0]
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  • Communications in Computer and Information Science
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http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 188
http://linked.open...iv/tvurceVysledku
  • Moravec, Pavel
  • Gajdoš, Petr
issn
  • 1865-0929
number of pages
http://bibframe.org/vocab/doi
  • 10.1007/978-3-642-22389-1_15
http://localhost/t...ganizacniJednotka
  • 27240
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