Semisupervised Dimensionality Reduction and Classification Through Virtual Label Regression | |
Nie, Feiping1; Xu, Dong1; Li, Xuelong2; Xiang, Shiming3 | |
刊名 | ieee transactions on systems man and cybernetics part b-cybernetics |
2011-06-01 | |
卷号 | 41期号:3页码:675-685 |
关键词 | Dimensionality reduction label propagation label regression semisupervised learning subspace learning |
ISSN号 | 1083-4419 |
通讯作者 | f. nie |
合作状况 | 其它 |
英文摘要 | semisupervised 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. |
学科主题 | 信号与模式识别 ; 计算机应用其他学科(含图像处理) |
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] | regularized discriminant-analysis ; face recognition ; framework ; illumination ; pose ; pca |
收录类别 | SCI ; EI |
语种 | 英语 |
WOS记录号 | WOS:000290734400006 |
公开日期 | 2011-01-11 |
内容类型 | 期刊论文 |
源URL | [http://ir.opt.ac.cn/handle/181661/8570] |
专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
作者单位 | 1.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 |
推荐引用方式 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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