A Subclass Model for Nonlinear Pattern ClassificationPattern Recognition Letters
AbstractThis paper describes a pattern classification model called “classification on subclasses”. The model and its computation scheme are based on the theoretic foundation of minimizing the cross-entropy of the distribution functions that bear considerable complexity and non-linearity. In this model, pattern classes are configured and described by a number of subclasses each associated with a distribution formulated according to the regularization principle. This modeling technique provides a simplified solution to a group of non-linear pattern classification problems. Simulation shows a high classification rate on pattern samples with complex distributions.
Citation InformationQiuming Zhu and Yao Cai. "A Subclass Model for Nonlinear Pattern Classification" Pattern Recognition Letters Vol. 19 Iss. 1 (1998) p. 19 - 29
Available at: http://works.bepress.com/qiuming-zhu/21/