• DocumentCode
    285189
  • Title

    Higher-order decision surfaces in neural nets

  • Author

    Casasent, David

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • Volume
    3
  • fYear
    1992
  • fDate
    7-11 Jun 1992
  • Firstpage
    43
  • Abstract
    Several recent advances are described that use neural-network methods to produce the higher-order decision surface required for difficult pattern recognition discrimination problems. Work at Carnegie Mellon University is emphasized and includes new hyperspherical Ho-Kashyap neural nets and new piecewise quadratic neural nets. Also addressed are Fourier neural-net interconnections to handle multiple objects and achieve morphological, image processing, and enhancement functions
  • Keywords
    image recognition; neural nets; Carnegie Mellon University; Fourier neural-net interconnections; higher-order decision surface; hyperspherical Ho-Kashyap neural nets; image processing; image recognition; pattern recognition discrimination; piecewise quadratic neural nets; Feature extraction; Image analysis; Image processing; Image segmentation; Layout; Neural networks; Neurons; Nonlinear distortion; Pattern recognition; Surface morphology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1992. IJCNN., International Joint Conference on
  • Conference_Location
    Baltimore, MD
  • Print_ISBN
    0-7803-0559-0
  • Type

    conf

  • DOI
    10.1109/IJCNN.1992.227039
  • Filename
    227039
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=285189