• DocumentCode
    328225
  • Title

    Exploitation of structured gating connections for the normalization of a visual pattern

  • Author

    Sperduti, Alessandro

  • Author_Institution
    ICSI, Berkeley, CA, USA
  • Volume
    1
  • fYear
    1993
  • fDate
    25-29 Oct. 1993
  • Firstpage
    228
  • Abstract
    Structured gating connections can be useful for reducing the complexity of networks with a high number of inputs. An example of their application to the normalization of a visual pattern with respect to scale and position is presented. The use of gating connections allows us to have a linear number of connections in the number of pixels. The connections are also very localized.
  • Keywords
    edge detection; function approximation; image processing; recurrent neural nets; edge detection; function approximation; image recognition; normalization; recurrent neural networks; scale; structured gating connections; visual pattern; Cutoff frequency; Detectors; Feedforward systems; Image analysis; Image edge detection; Low pass filters; Neural networks; Neurons; Pattern recognition; Performance analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
  • Print_ISBN
    0-7803-1421-2
  • Type

    conf

  • DOI
    10.1109/IJCNN.1993.713899
  • Filename
    713899