Patent ID: 9684838
Date: 2017-06-20
CPC Classifications: G06K

Claim:
1. A pattern recognition system, comprising memory and one or more processors operatively coupled to the memory and configured in a learning-enabled mode to: receive a plurality of input vectors; generate a knowledge element for each of first ones of the input vectors in unsupervised operations, each knowledge element including a point in an n-dimensional space represented by the corresponding input vector and having an influence field associated therewith, wherein the influence fields of the respective knowledge elements are substantially equal, and wherein the knowledge elements represent a single category of data; match each of second ones of the input vectors to at least one of the knowledge elements within the influence field of which the second input vector lies; and maintain a count for each knowledge element representing a number of the input vectors corresponding to that knowledge element, the counts collectively representing statistical regularities of patterns represented by the input vectors; wherein the one or more processors are further configured to, in a learning-disabled mode in which generation of further knowledge elements is not allowed, match third ones of the input vectors to the knowledge elements.