Recognition of visual patterns based on topological information processing
Abstract
A method and device for image classification have been developed, enabling determination of the class membership of visual patterns. The method is based on changes in the topology of stochastic connections between sensors and associative elements (A-elements), which depend on the distribution of brightness levels at the input of the recognition system and the distribution of reflective (transmissive) states of the A-element matrix established during training.
Copyright (c) 2007 Demyokhin V. V., Danilov V. V.

This work is licensed under a Creative Commons Attribution 4.0 International License.