@inproceedings{56edafbf360f40eeb27ee18030d5b6cc,
title = "Genetic generalized discriminant analysis and its applications",
abstract = "In this paper, a novel Genetic Generalized Discriminant Analysis (GGDA) is proposed. GGDA is a generalized version of Exponential Discriminant Analysis (EDA). EDA algorithm is equivalent to map the samples to a new space and then perform LDA. However, is this space is optimal for classification? The proposed GGDA uses Genetic Algorithm to search for an more discriminant diffusing map and then perform LDA in the new space. The Experimental results confirm the efficiency of the proposed algorithm.",
keywords = "Exponential discriminant analysis, Feature extraction, Genetic algorithm",
author = "Lijun Yan and Linlin Tang and Chu, \{Shu Chuan\} and Xiaorui Zhu and Li, \{Jun Bao\} and Xiaochuan Guo",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2014.; 27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014 ; Conference date: 03-06-2014 Through 06-06-2014",
year = "2014",
doi = "10.1007/978-3-319-07455-9\_26",
language = "英语",
series = "Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)",
publisher = "Springer Verlag",
pages = "246--255",
editor = "Moonis Ali and Jeng-Shyang Pan and Mong-Fong Horng and Shyi-Ming Chen",
booktitle = "Modern Advances in Applied Intelligence - 27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014, Proceedings",
address = "德国",
}