• DocumentCode
    3627504
  • Title

    Feature generation improving by optimized PCNN

  • Author

    R. Forgac;I. Mokris

  • Author_Institution
    Institute of Informatics, Slovak Academy of Sciences, Bratislava, Slovakia
  • fYear
    2008
  • Firstpage
    203
  • Lastpage
    207
  • Abstract
    The paper analyses disadvantages of standard feature generation and their standardization for image recognition by pulse coupled neural network (PCNN). The aim of research was to propose a new form of feature value calculation that improves significantly the quality of generated features. It is part of algorithm for feature generation by optimized PCNN.
  • Keywords
    "Neurons","Joining processes","Mathematical model","Convolution","Neural networks","Equations","Pulse generation","Informatics","Image recognition","Biological system modeling"
  • Publisher
    ieee
  • Conference_Titel
    Applied Machine Intelligence and Informatics, 2008. SAMI 2008. 6th International Symposium on
  • Print_ISBN
    978-1-4244-2105-3
  • Type

    conf

  • DOI
    10.1109/SAMI.2008.4469166
  • Filename
    4469166
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3627504