Pattern recognition system providing automated techniques for training classifiers for non stationary elements

摘要

An improved pattern recognition system. The invention operates on a plurality of feature vectors from a single class of data samples. The inventive system estimates a pruning radius for the feature vectors in the single class of data samples and generates a replacement class therefrom based on the estimated pruning radius. This pruning radius is used to train a classifier which in turn facilitates the recognition of a data pattern in raw data. In a specific implementation, the pruning radius is adapted based on current results from the classifier. The invention satisfies the need in the art by providing an automated technique for training classifiers for nonstationary data classes which is not limited by the need for more than one class of data.