Article ID Journal Published Year Pages File Type
534928 Pattern Recognition Letters 2010 4 Pages PDF
Abstract

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.

Related Topics
Physical Sciences and Engineering Computer Science Computer Vision and Pattern Recognition
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