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Face Image Modeling by Multilinear Subspace Analysis With Missing Values
Geng, Xin1,2; Smith-Miles, Kate2; Zhou, Zhi-Hua3; Wang, Liang4
Source PublicationIEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
2011-06-01
Volume41Issue:3Pages:881-892
SubtypeArticle
AbstractMultilinear 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.
KeywordFace Recognition Facial Age Estimation Missing Values Multilinear Subspace Analysis (Msa)
WOS HeadingsScience & Technology ; Technology
WOS KeywordHUMAN AGE ESTIMATION ; PRINCIPAL COMPONENT ANALYSIS ; RECOGNITION ; EIGENFACES ; REGRESSION ; FRAMEWORK ; MANIFOLD
Indexed BySCI
Language英语
WOS Research AreaAutomation & Control Systems ; Computer Science
WOS SubjectAutomation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS IDWOS:000290734400023
Citation statistics
Cited Times:34[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9952
Collection智能感知与计算研究中心
Affiliation1.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
Recommended Citation
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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