| Semisupervised Dimensionality Reduction and Classification Through Virtual Label Regression | |
| Nie, Feiping1; Xu, Dong1; Li, Xuelong2; Xiang, Shiming3; F. Nie | |
| 2011-06-01 | |
| 发表期刊 | IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
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| ISSN | 1083-4419 |
| 卷号 | 41期号:3页码:675-685 |
| 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. |
| 文章类型 | Article |
| 关键词 | Dimensionality Reduction Label Propagation Label Regression Semisupervised Learning Subspace Learning |
| 学科领域 | 信号与模式识别 |
| WOS标题词 | Science & Technology ; Technology |
| DOI | 10.1109/TSMCB.2010.2085433 |
| 收录类别 | SCI ; EI |
| 关键词[WOS] | REGULARIZED DISCRIMINANT-ANALYSIS ; FACE RECOGNITION ; FRAMEWORK ; ILLUMINATION ; POSE ; PCA |
| 语种 | 英语 |
| WOS研究方向 | Automation & Control Systems ; Computer Science |
| WOS类目 | Automation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Cybernetics |
| WOS记录号 | WOS:000290734400006 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.opt.ac.cn/handle/181661/8570 |
| 专题 | 光谱成像技术研究室 |
| 通讯作者 | F. Nie |
| 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,&F. Nie.(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. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Semisupervised Dimen（985KB） | 期刊论文 | 出版稿 | 限制开放 | CC BY-NC-SA | 请求全文 | |
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