Paper
5 September 1989 Statistical Mechanics and Pattern Recognition: A New Feedback Technique
Martin L. Brady, Raghu Raghavan, Joseph Slawny
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Abstract
In this paper we describe a new pattern recognition method which will allow for a synthesis of approaches based on prior analyses and contextual information with those based on Artificial Neural Networks. We develop a new iterative neural network framework based on a fully parallel probabilistic feedback dynamics. The method allows knowledge about the problem to be built into the network structure. In addition, heuristic search techniques can be incorporated by modifying the probabilities. We illustrate this method with a pattern recognition problem on an infrared image. The performance is better than that of competing methods.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Martin L. Brady, Raghu Raghavan, and Joseph Slawny "Statistical Mechanics and Pattern Recognition: A New Feedback Technique", Proc. SPIE 1099, Advances in Image Compression and Automatic Target Recognition, (5 September 1989); https://doi.org/10.1117/12.960457
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Pattern recognition

Image compression

Image processing

Automatic target recognition

Detection and tracking algorithms

Neural networks

Sensors

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