Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
534928 | Pattern Recognition Letters | 2010 | 4 Pages |
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.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Vincent Canals, Antoni Morro, Josep L. Rosselló,