Face Image Modeling by Multilinear Subspace Analysis With Missing Values | |
Geng, Xin1,2; Smith-Miles, Kate2; Zhou, Zhi-Hua3; Wang, Liang4![]() | |
刊名 | IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
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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 |
内容类型 | 期刊论文 |
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. |
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