Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
536752 | Pattern Recognition Letters | 2007 | 10 Pages |
Abstract
A novel approach to Episodic Associative Memory (EAM), known as Episodic Associative Memory with a Neighborhood Effect (EAMwNE) is presented in this paper. It overcomes the representation limitations of existing episodic memory models and increases the potential for their use in practical application.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
L.K. Wickramasinghe, L.D. Alahakoon, K. Smith-Miles,