• DocumentCode
    1365646
  • Title

    Characteristics of multidimensional holographic associative memory in retrieval with dynamically localizable attention

  • Author

    Khan, Javed I.

  • Author_Institution
    Dept. of Math. & Comput. Sci., Kent State Univ., OH, USA
  • Volume
    9
  • Issue
    3
  • fYear
    1998
  • fDate
    5/1/1998 12:00:00 AM
  • Firstpage
    389
  • Lastpage
    406
  • Abstract
    This paper presents the performance analysis of multidimensional holographic associative memory (MHAC). MHAC has the unique ability to retrieve pattern-associations with changeable attention. In attention actuated retrieval the user can dynamically select any subset of the elements in the example query pattern and expect the memory to confine its associative match only within the specified field of attention. MHAC, with the unique ability of localizable attention, can retrieve information correctly even with cues as small as 10% of the query frame. This paper investigates the performance of MHAC in attention actuated retrieval both analytically and experimentally. Besides confirmation, the experiments also identify an operational range space for this memory within which various attention based applications can be built with a performance guarantee
  • Keywords
    content-addressable storage; holographic storage; neural nets; pattern matching; performance evaluation; query processing; attention actuated retrieval; content based search; digital object; holographic associative memory; neural nets; pattern matching; performance analysis; Active appearance model; Associative memory; Helium; Holography; Information retrieval; Lab-on-a-chip; Multidimensional systems; Neurons; Pattern matching; Performance analysis;
  • fLanguage
    English
  • Journal_Title
    Neural Networks, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1045-9227
  • Type

    jour

  • DOI
    10.1109/72.668882
  • Filename
    668882