Trace ratio criterion for feature extraction in classification

• 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
• Institution: Nanyang Technological University

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...