A novel Bayesian classifier with smaller eigenvalues reset by threshold based on given database

Document Type

Conference Proceeding

Publication Date

1-1-2007

Abstract

A novel Bayesian classifier with smaller eigenvalues reset by threshold based on database is proposed in this paper. The threshold is used to substitute eigenvalues of scatter matrices which are smaller than the threshold to minimize the classification error rate with a given database, thus improving the performance of Bayesian classifier. Several experiments have shown its effectiveness. The error rates of both handwritten number recognition with MNIST database and Bengali handwritten digit recognition are small by using the proposed method. The steganalyszing JPEG images using this proposed classifier performs well. © Springer-Verlag Berlin Heidelberg 2007.

Identifier

37849010648 (Scopus)

ISBN

[9783540742586]

Publication Title

Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics

External Full Text Location

https://doi.org/10.1007/978-3-540-74260-9_34

e-ISSN

16113349

ISSN

03029743

First Page

375

Last Page

386

Volume

4633 LNCS

This document is currently not available here.

Share

COinS