Interactive Pattern Analysis and Classification
IEEE Transactions on Computers
An Optimal Set of Discriminant Vectors
IEEE Transactions on Computers
A Classifier Design Technique for Discrete Variable Pattern Recognition Problems
IEEE Transactions on Computers
Interactive Pattern Analysis and Classification
IEEE Transactions on Computers
Journal of Intelligent Manufacturing
Accuracy of MLP based data visualization used in oil prices forecasting task
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Expert Systems: The Journal of Knowledge Engineering
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In solving pattern classification problems, many researchers have successfully used the Fisher linear discriminant as the optimal linear method for discriminating between vector samples from two classes. With the introduction of on-line, interactive, graphic systems, it has become conveniently possible to extend the discrimination logic to piecewise linear methods. This paper describes such a method which is being used in the on-line pattern analysis and recognition system (OLPARS).