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Mathematical Problems in EngineeringVolume 2014 2014, Article ID 725204, 9 pages

Research Article

Department of Precision Instrument, Tsinghua University, Beijing 100084, China

School of EEE, Nanyang Technological University, Singapore

School of Computing, Xi-an Technological University, Shaanxi, China

School of Aerospace, Xi-an Jiaotong University, Shaanxi, China

Received 12 November 2013; Revised 28 March 2014; Accepted 28 March 2014; Published 29 May 2014

Academic Editor: Yang Tang

Copyright © 2014 Guoqi Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


A generalized linear discriminant analysis based on trace ratio criterion algorithm GLDA-TRA is derived to extract features for classification. With the proposed GLDA-TRA, a set of orthogonal features can be extracted in succession. Each newly extracted feature is the optimal feature that maximizes the trace ratio criterion function in the subspace orthogonal to the space spanned by the previous extracted features.

Author: Guoqi Li, Changyun Wen, Wei Wei, Yi Xu, Jie Ding, Guangshe Zhao, and Luping Shi



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