How to Estimate the Regularization Parameter for Spectral Regression Discriminant Analysis and its Kernel Version?

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	How to Estimate the Regularization Parameter for Spectral Regression Discriminant Analysis and its Kernel Version?
	Gui, Jie 1,2; Sun, Zhenan3 ; Cheng, Jun 4; Ji, Shuiwang 5; Wu, Xindong 6
发表期刊	IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
	2014-02-01
卷号	24 期号:2 页码:211-223
文章类型	Article
摘要	Spectral regression discriminant analysis (SRDA) has recently been proposed as an efficient solution to large-scale subspace learning problems. There is a tunable regularization parameter in SRDA, which is critical to algorithm performance. However, how to automatically set this parameter has not been well solved until now. So this regularization parameter was only set to be a constant in SRDA, which is obviously suboptimal. This paper proposes to automatically estimate the optimal regularization parameter of SRDA based on the perturbation linear discriminant analysis (PLDA). In addition, two parameter estimation methods for the kernel version of SRDA are also developed. One is derived from the method of optimal regularization parameter estimation for SRDA. The other is to utilize the kernel version of PLDA. Experiments on a number of publicly available databases demonstrate the effectiveness of the proposed methods for face recognition, spoken letter recognition, handwritten digit recognition, and text categorization.
关键词	Kernel Methods Perturbation Linear Discriminant Analysis Regularization Parameter Estimation Spectral Regression Discriminant Analysis
WOS标题词	Science & Technology ; Technology
关键词[WOS]	ROBUST FEATURE-EXTRACTION ; MAXIMUM MARGIN CRITERION ; GENE-EXPRESSION DATA ; FACE-RECOGNITION ; DIMENSIONALITY REDUCTION ; UNIFIED FRAMEWORK ; IMAGE CLASSIFICATION ; EFFICIENT ; PCA ; PROJECTIONS
收录类别	SCI
语种	英语
WOS研究方向	Engineering
WOS类目	Engineering, Electrical & Electronic
WOS记录号	WOS:000331379600004
引用统计	被引频次：32[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/3783
专题	智能感知与计算研究中心
作者单位	1.Chinese Acad Sci, Hefei Inst Intelligent Machines, Hefei 230031, Anhui, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Ctr Res Intelligent Percept & Comp, Beijing 100190, Peoples R China 3.Chinese Acad Sci, Natl Lab Pattern Recognit, Ctr Res Intelligent Percept & Comp, Inst Automat, Beijing 100190, Peoples R China 4.Chinese Acad Sci, Shenzhen Inst Adv Technol, Guangdong Prov Key Lab Robot & Intelligent Syst, Shenzhen 518055, Peoples R China 5.Old Dominion Univ, Dept Comp Sci, Norfolk, VA USA 6.Univ Vermont, Dept Comp Sci, Burlington, VT 05401 USA
第一作者单位	模式识别国家重点实验室
推荐引用方式 GB/T 7714	Gui, Jie,Sun, Zhenan,Cheng, Jun,et al. How to Estimate the Regularization Parameter for Spectral Regression Discriminant Analysis and its Kernel Version?[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,2014,24(2):211-223.
APA	Gui, Jie,Sun, Zhenan,Cheng, Jun,Ji, Shuiwang,&Wu, Xindong.(2014).How to Estimate the Regularization Parameter for Spectral Regression Discriminant Analysis and its Kernel Version?.IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,24(2),211-223.
MLA	Gui, Jie,et al."How to Estimate the Regularization Parameter for Spectral Regression Discriminant Analysis and its Kernel Version?".IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 24.2(2014):211-223.