CASIA OpenIR  > 模式识别国家重点实验室  > 先进数据分析与学习
Semisupervised Dimensionality Reduction and Classification Through Virtual Label Regression
Nie, Feiping1; Xu, Dong1; Li, Xuelong2; Xiang, Shiming3
Source PublicationIEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
2011-06-01
Volume41Issue:3Pages:675-685
SubtypeArticle
AbstractSemisupervised dimensionality reduction has been attracting much attention as it not only utilizes both labeled and unlabeled data simultaneously, but also works well in the situation of out-of-sample. This paper proposes an effective approach of semisupervised dimensionality reduction through label propagation and label regression. Different from previous efforts, the new approach propagates the label information from labeled to unlabeled data with a well-designed mechanism of random walks, in which outliers are effectively detected and the obtained virtual labels of unlabeled data can be well encoded in a weighted regression model. These virtual labels are thereafter regressed with a linear model to calculate the projection matrix for dimensionality reduction. By this means, when the manifold or the clustering assumption of data is satisfied, the labels of labeled data can be correctly propagated to the unlabeled data; and thus, the proposed approach utilizes the labeled and the unlabeled data more effectively than previous work. Experimental results are carried out upon several databases, and the advantage of the new approach is well demonstrated.
KeywordDimensionality Reduction Label Propagation Label Regression Semisupervised Learning Subspace Learning
WOS HeadingsScience & Technology ; Technology
WOS KeywordREGULARIZED DISCRIMINANT-ANALYSIS ; FACE RECOGNITION ; FRAMEWORK ; ILLUMINATION ; POSE ; PCA
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:000290734400006
Citation statistics
Cited Times:68[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/3696
Collection模式识别国家重点实验室_先进数据分析与学习
Affiliation1.Nanyang Technol Univ, Sch Comp Engn, Singapore 639798, Singapore
2.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Ctr OPTpt IMagery Anal & Learning OPTIMAL, Xian 710119, Peoples R China
3.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Nie, Feiping,Xu, Dong,Li, Xuelong,et al. Semisupervised Dimensionality Reduction and Classification Through Virtual Label Regression[J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS,2011,41(3):675-685.
APA Nie, Feiping,Xu, Dong,Li, Xuelong,&Xiang, Shiming.(2011).Semisupervised Dimensionality Reduction and Classification Through Virtual Label Regression.IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS,41(3),675-685.
MLA Nie, Feiping,et al."Semisupervised Dimensionality Reduction and Classification Through Virtual Label Regression".IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS 41.3(2011):675-685.
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