Stochastic-Based Pattern Recognition Analysis

Computer Science – Computer Vision and Pattern Recognition

Scientific paper

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Scientific paper

10.1016/j.patrec.2010.07.008

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 rchitecture is applied to a specific navigation problem. The resulting system is orders of magnitude faster than processor-based solutions.

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