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Stochastic-based pattern-recognition analysis
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DOI：10.1016/j.patrec.2010.07.008.png)
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Abstract
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In this work we review the basic principles of stochastic logic and propose its application to probabilistic-based pattern-recognition analysis. The proposed technique is intrinsically a parallel comparison of input data to various pre-stored categories using Bayesian techniques. We design smart pulse-based stochastic-logic blocks to provide an efficient pattern-recognition analysis. The proposed architecture is applied to a specific navigation problem. (C) 2010 Elsevier B.V. All rights reserved.
Keywords:
Stochastic logic
Pattern-recognition
Robotics navigation
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