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Proceedings Paper

Neural networks and model-based approaches to object identification
Author(s): Leonid I. Perlovsky
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Paper Abstract

This paper describes an adaptive (self-learning) approach to object identification developed during the last two years. This approach combines an adaptive neural network with a model- based approach to object identification. It is based on the Maximum Likelihood Adaptive Neural System (MLANS), which has a capability for self-learning invariant features and symbolic patterns.

Paper Details

Date Published: 1 November 1991
PDF: 6 pages
Proc. SPIE 1606, Visual Communications and Image Processing '91: Image Processing, (1 November 1991); doi: 10.1117/12.50333
Show Author Affiliations
Leonid I. Perlovsky, Nichols Research Corp. (United States)


Published in SPIE Proceedings Vol. 1606:
Visual Communications and Image Processing '91: Image Processing
Kou-Hu Tzou; Toshio Koga, Editor(s)

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