A Self-Organising Neural Network for Processing Data from Multiple Sensors
Neural and Evolutionary Computing
2010-12-21 v1 Computer Vision and Pattern Recognition
Abstract
This paper shows how a folded Markov chain network can be applied to the problem of processing data from multiple sensors, with an emphasis on the special case of 2 sensors. It is necessary to design the network so that it can transform a high dimensional input vector into a posterior probability, for which purpose the partitioned mixture distribution network is ideally suited. The underlying theory is presented in detail, and a simple numerical simulation is given that shows the emergence of ocular dominance stripes.
Cite
@article{arxiv.1012.4173,
title = {A Self-Organising Neural Network for Processing Data from Multiple Sensors},
author = {S P Luttrell},
journal= {arXiv preprint arXiv:1012.4173},
year = {2010}
}
Comments
30 pages, 10 figures