Title :
Characteristics of multidimensional holographic associative memory in retrieval with dynamically localizable attention
Author_Institution :
Dept. of Math. & Comput. Sci., Kent State Univ., OH, USA
fDate :
5/1/1998 12:00:00 AM
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;
Journal_Title :
Neural Networks, IEEE Transactions on