Robust spectral regression for face recognition

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	Robust spectral regression for face recognition
	Guo, Yanqing 1,5; He, Ran 2; Zheng, Wei-Shi 3; Kong, Xiangwei 1; He, Zhaofeng 4; Ran He(赫然)
刊名	NEUROCOMPUTING
	2013-10-22
卷号	118 页码:33-40
关键词	Discriminant subspace learning Face recognition Spectral regression Robust Correntropy
英文摘要	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.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Computer Science, Artificial Intelligence
研究领域[WOS]	Computer Science
关键词[WOS]	DISCRIMINANT-ANALYSIS ; FRAMEWORK ; ALGORITHM ; REPRESENTATION ; CLASSIFICATION ; MINIMIZATION ; CORRENTROPY ; SIGNAL
收录类别	SCI
语种	英语
WOS记录号	WOS:000323693700004
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/3813]
专题	自动化研究所_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	Guo, Yanqing,He, Ran,Zheng, Wei-Shi,et al. Robust spectral regression for face recognition[J]. NEUROCOMPUTING,2013,118:33-40.
APA	Guo, Yanqing,He, Ran,Zheng, Wei-Shi,Kong, Xiangwei,He, Zhaofeng,&Ran He.(2013).Robust spectral regression for face recognition.NEUROCOMPUTING,118,33-40.
MLA	Guo, Yanqing,et al."Robust spectral regression for face recognition".NEUROCOMPUTING 118(2013):33-40.