中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
The theoretical analysis of FDA and applications

文献类型:期刊论文

作者Tao, Q; Wu, GW; Wang, J
刊名PATTERN RECOGNITION
出版日期2006-06-01
卷号39期号:6页码:1199-1204
关键词classification Fisher discriminant analysis support vector machines LS-SVM regression
ISSN号0031-3203
DOI10.1016/j.patcog.2005.09.018
英文摘要Representation and embedding are usually the two necessary phases in designing a classifier. Fisher discriminant analysis (FDA) is regarded as seeking a direction for which the projected samples are well separated. In this paper, we analyze FDA in terms of representation and embedding. The main contribution is that we prove that the general framework of FDA is based on the simplest and most intuitive FDA with zero within-class variance and therefore the mechanism of FDA is clearly illustrated. Based on our analysis, e-insensitive SVM regression can be viewed as a soft FDA with epsilon-insensitive within-class variance and L-1 norm penalty. To verify this viewpoint, several real classification experiments are conducted to demonstrate that the performance of the regression-based classification technique is comparable to regular FDA and SVM. (c) 2005 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
WOS研究方向Computer Science ; Engineering
语种英语
WOS记录号WOS:000236696400017
出版者PERGAMON-ELSEVIER SCIENCE LTD
源URL[http://119.78.100.204/handle/2XEOYT63/10483]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Tao, Q
作者单位1.Chinese Acad Sci, Inst Automat, Key Lab Complex Syst & Intelligence Sci, Beijing 100080, Peoples R China
2.Chinese Acad Sci, Inst Comp Technol, Bioinformat Res Grp, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Tao, Q,Wu, GW,Wang, J. The theoretical analysis of FDA and applications[J]. PATTERN RECOGNITION,2006,39(6):1199-1204.
APA Tao, Q,Wu, GW,&Wang, J.(2006).The theoretical analysis of FDA and applications.PATTERN RECOGNITION,39(6),1199-1204.
MLA Tao, Q,et al."The theoretical analysis of FDA and applications".PATTERN RECOGNITION 39.6(2006):1199-1204.

入库方式: OAI收割

来源:计算技术研究所

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