Feature selection based on the Bhattacharyya distance

Authors

Guorong Xuan, Tongji University
Xiuming Zhu, Tongji University
Peiqi Chai, Tongji University
Zhenping Zhang, Tongji University
Yun Q. Shi, Newark College of Engineering
Dongdong Fu, Newark College of Engineering

Document Type

Conference Proceeding

Publication Date

12-1-2006

Abstract

This paper presents a Bhattacharyya distance based feature selection method, which utilizes a recursive algorithm to obtain the optimal dimension reduction matrix in terms of the minimum upper bound of classification error under normal distribution for multi-class classification problem. In our scheme, PCA is incorporated as a pre-processing to reduce the intractably heavy computation burden of the recursive algorithm. The superior experimental results on the handwritten-digit recognition with the MNIST database and the steganalysis applications have demonstrated the effectiveness of our proposed method. © 2006 IEEE.

Identifier

34147145862 (Scopus)

ISBN

[0769525210, 9780769525211]

Publication Title

Proceedings International Conference on Pattern Recognition

External Full Text Location

https://doi.org/10.1109/ICPR.2006.558

ISSN

10514651

First Page

1232

Last Page

1235

Volume

3

Recommended Citation

Xuan, Guorong; Zhu, Xiuming; Chai, Peiqi; Zhang, Zhenping; Shi, Yun Q.; and Fu, Dongdong, "Feature selection based on the Bhattacharyya distance" (2006). Faculty Publications. 18668.
https://digitalcommons.njit.edu/fac_pubs/18668