• DocumentCode
    273671
  • Title

    The fdsk-semantic language: Neural implementation

  • Author

    Ligomenides, Panos A.

  • Author_Institution
    Dept. of Electr. Eng., Maryland Univ., College Park, MD, USA
  • fYear
    1988
  • fDate
    29-31 Aug 1988
  • Firstpage
    37
  • Lastpage
    41
  • Abstract
    Sensor patterns in a one-dimensional (1-D) spatiotemporal measurement domain are discussed. The fdsk-model of perceptual conformity assessment is examined. The interactive fdsk -modeling procedures is reviews and fdsk-based real-time recognition is examined. Algorithms are presented for implementation with a digital computer in sequential sampling situations, or with parallel processing and neural networks in 1-D retina data situations. The fdsk-model of tolerance is also viewed as a semantic language
  • Keywords
    computerised pattern recognition; neural nets; parallel processing; visual perception; 1-D retina data; fdsk-model; neural networks; parallel processing; perceptual conformity assessment; real-time recognition; semantic language; sequential sampling; spatiotemporal measurement domain; Character recognition; Context modeling; Cybernetics; Deconvolution; Humans; Pattern recognition; Prototypes; Q measurement; Robots; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Languages for Automation: Symbiotic and Intelligent Robots, 1988., IEEE Workshop on
  • Conference_Location
    College Park, MD
  • Print_ISBN
    0-8186-0890-0
  • Type

    conf

  • DOI
    10.1109/LFA.1988.24949
  • Filename
    24949
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=273671