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
Link To Document :
بازگشت