• DocumentCode
    1022071
  • Title

    An invariant pattern recognition machine using a modified ART architecture

  • Author

    Srinivasa, Narayan ; Jouaneh, Musa

  • Author_Institution
    Dept. of Mech. Eng., Florida Univ., Gainesville, FL, USA
  • Volume
    23
  • Issue
    5
  • fYear
    1993
  • Firstpage
    1432
  • Lastpage
    1437
  • Abstract
    A novel invariant pattern recognition machine is proposed based on a modified ART architecture. Invariance is achieved by adding a new layer called F3, beyond the F2 layer in the ART architecture. The design of the weight connections between the nodes of the F2 layer and the cells of the F3 layer are similar to the invariance net. Computer simulations show that the model is not only invariant to translations and rotations of 2-D binary images but also noise-tolerant to these transformed images
  • Keywords
    image recognition; invariance; neural nets; parallel architectures; pattern recognition equipment; 2D binary images; ART architecture; adaptive resonance theory; invariance net; invariant pattern recognition machine; neural nets; nodes; noise tolerance; weight connections; Brain modeling; Computer architecture; Computer simulation; Filters; Holography; Mechanical engineering; Multilayer perceptrons; Neural networks; Pattern recognition; Subspace constraints;
  • fLanguage
    English
  • Journal_Title
    Systems, Man and Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9472
  • Type

    jour

  • DOI
    10.1109/21.260674
  • Filename
    260674
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1022071