A novel learning classification on pattern recognition

0Citations
Citations of this article
1Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In this paper we propose a novel approach to model pattern classification based on tangent distance within a statistical framework for classification. Statistical characteristics of classifier data are analyzed by the parametric estimates in the regression equation. We research on feature extraction for the training data in statistical pattern recognition by transformation and optimal Bayesian decision rule. Finally, we give our experiments on automatic speech recognition. The experimental results show the effectiveness of our approach. © 2012 Springer-Verlag.

Cite

CITATION STYLE

APA

Sang, Y. J. (2012). A novel learning classification on pattern recognition. In Lecture Notes in Electrical Engineering (Vol. 139 LNEE, pp. 273–279). https://doi.org/10.1007/978-3-642-27287-5_44

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free