Recursive optimization of an extended Fisher discriminant criterion

Author

Aladjem, Mayer E.

Author_Institution

Dept. of Electr. & Comput. Eng., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel

Volume

2

fYear

1996

fDate

13-16 Oct 1996

Firstpage

708

Abstract

A method for recursive optimization of an extended Fisher (ExF) discriminant criterion is proposed. The method consists of obtaining a discriminant direction which optimizes the ExF criterion, transforming the data along it into data with greater class overlap, and iterating to obtain the next discriminant direction. An application to a medical dataset indicates the potential of the proposed method for finding a sequence of oblique directions with significant class separation

Keywords

covariance matrices; eigenvalues and eigenfunctions; image classification; image sampling; image sequences; iterative methods; matrix decomposition; medical image processing; optimisation; recursive estimation; class overlap; class separation; data transformation; discriminant direction; eigenvalue-eigenvector decomposition; extended Fisher discriminant criterion; iteration; linear mapping; medical dataset; pooled sample covariance matrix; projection pursuit procedure; recursive optimization; sequence of oblique directions; sphered design samples; Covariance matrix; Matrix decomposition; Neodymium; Optimization methods; Research and development; Scattering parameters; Tellurium; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Circuits, and Systems, 1996. ICECS '96., Proceedings of the Third IEEE International Conference on

Conference_Location

Rodos

Print_ISBN

0-7803-3650-X

Type

conf

DOI

10.1109/ICECS.1996.584460

Filename

584460