Trace ratio criterion for feature extraction in classification

Trace ratio criterion for feature extraction in classification

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 maximize...

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Bibliographic Details
Main Authors: Li, Guoqi, Wen, Changyun, Wei, Wei, Xu, Yi, Ding, Jie, Zhao, Guangshe, Shi, Luping
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2014
Subjects:
DRNTU::Engineering::Mathematics and analysis
Online Access:https://hdl.handle.net/10356/79907
http://hdl.handle.net/10220/20016
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Institution: Nanyang Technological University
Language: English
Description
Summary: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.

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