Characteristics of multidimensional holographic associative memoryin retrieval with dynamically localizable attention
Khan, J.I.
Dept. of Math. & Comput. Sci., Kent State Univ., OH;
This paper appears in: Neural Networks, IEEE Transactions on
Publication Date: May 1998
Volume: 9,
Issue: 3
On page(s): 389-406
ISSN: 1045-9227
References Cited: 30
CODEN: ITNNEP
INSPEC Accession Number: 5917561
Digital Object Identifier: 10.1109/72.668882
Current Version Published: 2002-08-06
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
Index
Terms
Available to subscribers and IEEE members.
References
Available to subscribers and IEEE members.
Citing Documents
Available to subscribers and IEEE members.