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Description
  • Future multi-media technologies are expected to support on-line processing of huge amounts of high-dimensional data without any special pre-processing. Growing Neural Networks designed for efficient image processing also involve data-dependent adjustment of both the number and position of the neurons that improves generalization. In this way, local features detected automatically by Growing Neural Networks impact a transparent and compact representation of the extracted knowledge. The performed case studies refer to face and hand-written digit recognition.
  • Future multi-media technologies are expected to support on-line processing of huge amounts of high-dimensional data without any special pre-processing. Growing Neural Networks designed for efficient image processing also involve data-dependent adjustment of both the number and position of the neurons that improves generalization. In this way, local features detected automatically by Growing Neural Networks impact a transparent and compact representation of the extracted knowledge. The performed case studies refer to face and hand-written digit recognition. (en)
Title
  • Image Classification with Growing Neural Networks
  • Image Classification with Growing Neural Networks (en)
skos:prefLabel
  • Image Classification with Growing Neural Networks
  • Image Classification with Growing Neural Networks (en)
skos:notation
  • RIV/00216208:11320/13:10173971!RIV14-GA0-11320___
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  • P(GAP103/10/0783), P(GAP202/10/1333), P(GD201/09/H057), S
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  • 3
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  • 78849
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  • RIV/00216208:11320/13:10173971
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  • face recognition; convolutional neural networks; growing neural networks; classification; image processing (en)
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  • SG - Singapurská republika
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  • [6186FE333777]
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  • International Journal of Computer Theory and Engineering
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  • 5
http://linked.open...iv/tvurceVysledku
  • Mrázová, Iveta
  • Kukačka, Marek
issn
  • 1793-8201
number of pages
http://bibframe.org/vocab/doi
  • 10.7763/IJCTE.2013.V5.722
http://localhost/t...ganizacniJednotka
  • 11320
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