Multidimensional Bayes Classifier Based on Tree-Structured Gaussian Mixtures

Lange, M. M.; Novikov A. Nikita

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Publications

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Multidimensional Bayes Classifier Based on Tree-Structured Gaussian Mixtures

P. 153–156.

Lange, M. M., Novikov A. Nikita

Multidimensional Bayes Classifier Based on Tree-Structured Gaussian Mixtures

Language: English

Keywords: Multidimensional Bayes Classifier Tree-Structured Gaussian Mixtures

In book

Proceedings of 10th International Conference on Pattern Recognition and Image Analysis (PRIA-2010, St. Petersburg, Russia)

Vol. 1. , Politechnika, 2010.

Multilevel classifiers based on a tree-structured set of Gaussian densities

N.A. Novikov, Pattern Recognition and Image Analysis 2014 Vol. 24 No. 3 P. 443–451

This paper considers an approach to solving the problem of binary classification of objects. This approach is based on representing one of the classes by a sequence of Gaussian mixtures with further introduction of threshold decision rules. A method of constructing hierarchical sequences of Gaussian mixtures using the partial EM algorithm is proposed. We compare ...

Added: January 16, 2015

Bayes Classifier Based on Tree Structured Gaussian Mixtures

Lange, M. M., Novikov A. Nikita, Pattern Recognition and Image Analysis 2012 Vol. 22 No. 1 P. 136–143

A novel approach is proposed to constructing a Bayes classifier in a multidimensional space of fea tures by using treestructured Gaussian mixtures as estimates of classconditional probability density func tions. A training procedure is developed for the classifier that is reduced to finding numbers of mixture com ponents and their thresholds in order to realize rejections for the ...

Added: December 3, 2013