Robust Spectral Regression for Face Recognition

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	Robust Spectral Regression for Face Recognition
	Yanqing Guo 1,5; Ran He(赫然)2 ; Weishi Zheng 3; Xiangwei Kong 1; Zhaofeng He 4
发表期刊	NEUROCOMPUTING
	2013-10-22
卷号	118 期号:Na 页码:33-40
文章类型	Article
摘要	Spectral regression has been an efficient and powerful tool for face recognition. However, spectral regression is sensitive to the errors incurred by inaccurate annotation and occlusion. This paper studies robust spectral regression based discriminant subspace learning from correntropy and spatially smooth structure of facial subspace. First, we formulate the robust discriminant subspace learning problem as a maximum correntropy problem, which finds the most correlation solution between spectral targets and predictions. Second, total variation (TV) regularization is imposed on the correntropy objective to learn a spatially smooth face structure. Lastly, based on the additive form of half-quadratic optimization, we cast the maximum correntropy problem into a compound regularization model, which can be efficiently optimized via an accelerated proximal gradient algorithm. Compared with iteratively reweighted least squares based methods, the proposed method can not only improve recognition rates but also reduce computational cost. Experimental results on a couple of face recognition datasets demonstrate the robustness and effectiveness of our method against inaccurate annotation and occlusion. (C) 2013 Elsevier B.V. All rights reserved.
关键词	Discriminant Subspace Learning Face Recognition Spectral Regression Robust Correntropy
WOS标题词	Science & Technology ; Technology
关键词[WOS]	DISCRIMINANT-ANALYSIS ; FRAMEWORK ; ALGORITHM ; REPRESENTATION ; CLASSIFICATION ; MINIMIZATION ; CORRENTROPY ; SIGNAL
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000323693700004
引用统计	被引频次：7[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/173211/3813
专题	智能感知与计算研究中心
作者单位	1.Dalian Univ Technol, Sch Informat & Commun Engn, Dalian 116024, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 3.Sun Yat Sen Univ, Sch Informat Sci & Technol, Guangzhou 510275, Guangdong, Peoples R China 4.Irisking Co Ltd, Beijing 100190, Peoples R China 5.State Informat Ctr, Postdoctoral Sci Res Workstn, Beijing 100045, Peoples R China
推荐引用方式 GB/T 7714	Yanqing Guo,Ran He,Weishi Zheng,et al. Robust Spectral Regression for Face Recognition[J]. NEUROCOMPUTING,2013,118(Na):33-40.
APA	Yanqing Guo,Ran He,Weishi Zheng,Xiangwei Kong,&Zhaofeng He.(2013).Robust Spectral Regression for Face Recognition.NEUROCOMPUTING,118(Na),33-40.
MLA	Yanqing Guo,et al."Robust Spectral Regression for Face Recognition".NEUROCOMPUTING 118.Na(2013):33-40.