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Face Image Modeling by Multilinear Subspace Analysis With Missing Values

文献类型：期刊论文

作者Geng, Xin1,2; Smith-Miles, Kate2; Zhou, Zhi-Hua3; Wang, Liang4
刊名IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
出版日期2011-06-01
卷号41期号:3页码:881-892
关键词Face recognition facial age estimation missing values multilinear subspace analysis (MSA)
英文摘要Multilinear subspace analysis (MSA) is a promising methodology for pattern-recognition problems due to its ability in decomposing the data formed from the interaction of multiple factors. The MSA requires a large training set, which is well organized in a single tensor, which consists of data samples with all possible combinations of the contributory factors. However, such a "complete" training set is difficult (or impossible) to obtain in many real applications. The missing-value problem is therefore crucial to the practicality of the MSA but has been hardly investigated up to present. To solve the problem, this paper proposes an algorithm named M(2)SA, which is advantageous in real applications due to the following: 1) it inherits the ability of the MSA to decompose the interlaced semantic factors; 2) it does not depend on any assumptions on the data distribution; and 3) it can deal with a high percentage of missing values. M(2)SA is evaluated by face image modeling on two typical multifactorial applications, i.e., face recognition and facial age estimation. Experimental results show the effectiveness of M(2)SA even when the majority of the values in the training tensor are missing.
WOS标题词Science & Technology ; Technology
类目[WOS]Automation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
研究领域[WOS]Automation & Control Systems ; Computer Science
关键词[WOS]HUMAN AGE ESTIMATION ; PRINCIPAL COMPONENT ANALYSIS ; RECOGNITION ; EIGENFACES ; REGRESSION ; FRAMEWORK ; MANIFOLD
收录类别SCI
语种英语
WOS记录号WOS:000290734400023
公开日期2015-12-24
源URL[http://ir.ia.ac.cn/handle/173211/9952]  
专题自动化研究所_智能感知与计算研究中心
作者单位1.Southeast Univ, Sch Comp Sci & Engn, Nanjing 210096, Peoples R China
2.Monash Univ, Sch Math Sci, Melbourne, Vic 3800, Australia
3.Nanjing Univ, Natl Key Lab Novel Software Technol, Nanjing 210093, Peoples R China
4.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Geng, Xin,Smith-Miles, Kate,Zhou, Zhi-Hua,et al. Face Image Modeling by Multilinear Subspace Analysis With Missing Values[J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS,2011,41(3):881-892.
APA Geng, Xin,Smith-Miles, Kate,Zhou, Zhi-Hua,&Wang, Liang.(2011).Face Image Modeling by Multilinear Subspace Analysis With Missing Values.IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS,41(3),881-892.
MLA Geng, Xin,et al."Face Image Modeling by Multilinear Subspace Analysis With Missing Values".IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS 41.3(2011):881-892.

入库方式： OAI收割

来源：自动化研究所

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