Stochastic-Based Pattern Recognition Analysis
Computer Vision and Pattern Recognition
2012-02-22 v1
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 rchitecture is applied to a specific navigation problem. The resulting system is orders of magnitude faster than processor-based solutions.
Cite
@article{arxiv.1202.4495,
title = {Stochastic-Based Pattern Recognition Analysis},
author = {V. Canals and A. Morro and J. L. Rosselló},
journal= {arXiv preprint arXiv:1202.4495},
year = {2012}
}