Classifiability-Based Discriminatory Projection Pursuit

doi:10.1109/TNN.2011.2170220

	Classifiability-Based Discriminatory Projection Pursuit
	Su, Yu 1; Shan, Shiguang 1; Chen, Xilin 1; Gao, Wen 2
	2011-12-01
发表期刊	IEEE TRANSACTIONS ON NEURAL NETWORKS
ISSN	1045-9227
卷号	22 期号:12 页码:2050-2061
摘要	Fisher's linear discriminant (FLD) is one of the most widely used linear feature extraction method, especially in many visual computation tasks. Based on the analysis on several limitations of the traditional FLD, this paper attempts to propose a new computational paradigm for discriminative linear feature extraction, named "classifiability-based discriminatory projection pursuit" (CDPP), which is different from the traditional FLD and its variants. There are two steps in the proposed CDPP: one is the construction of a candidate projection set (CPS), and the other is the pursuit of discriminatory projections. Specifically, in the former step, candidate projections are generated by using the nearest between-class boundary samples, while the latter is efficiently achieved by classifiability-based AdaBoost learning from the CPS. We show that the new "projection pursuit" paradigm not only does not suffer from the limitations of the traditional FLD but also inherits good generalizability from the boundary attribute of candidate projections. Extensive experiments on both synthetic and real datasets validate the effectiveness of CDPP for discriminative linear feature extraction.
关键词	Boundary samples classifiability-based AdaBoost linear feature extraction projection pursuit
DOI	10.1109/TNN.2011.2170220
收录类别	SCI
语种	英语
资助项目	Natural Science Foundation of China[61173065] ; Natural Science Foundation of China[60833013] ; Natural Science Foundation of China[U0835005] ; National Basic Research Program of China (973 Program)[2009CB320902] ; Beijing Natural Science Foundation (New Technologies and Methods in Intelligent Video Surveillance for Public Security)[4111003]
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号	WOS:000298051400018
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：13[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/13254
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Su, Yu
作者单位	1.CAS, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 10190, Peoples R China 2.Peking Univ, Inst Digital Media, Beijing 100871, Peoples R China
推荐引用方式 GB/T 7714	Su, Yu,Shan, Shiguang,Chen, Xilin,et al. Classifiability-Based Discriminatory Projection Pursuit[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS,2011,22(12):2050-2061.
APA	Su, Yu,Shan, Shiguang,Chen, Xilin,&Gao, Wen.(2011).Classifiability-Based Discriminatory Projection Pursuit.IEEE TRANSACTIONS ON NEURAL NETWORKS,22(12),2050-2061.
MLA	Su, Yu,et al."Classifiability-Based Discriminatory Projection Pursuit".IEEE TRANSACTIONS ON NEURAL NETWORKS 22.12(2011):2050-2061.