Supervised kernel locality preserving projections for face recognition
文献类型：期刊论文
| 作者 | Cheng, J ; Liu, QS; Lu, HQ; Chen, YW
|
| 刊名 | NEUROCOMPUTING
 |
| 出版日期 | 2005-08-01 |
| 卷号 | 67页码:443-449 |
| 关键词 | kernel trick subspace analysis locality preserving projection face recognition |
| 英文摘要 | Subspace analysis is an effective approach for face recognition. Finding a suitable low-dimensional subspace is a key step of subspace analysis, for it has a direct effect on recognition performance. In this paper, a novel subspace method, named supervised kernel locality preserving projections (SKLPP), is proposed for face recognition, in which geometric relations are preserved according to prior class-label information and complex nonlinear variations of real face images are represented by nonlinear kernel mapping. SKLPP cannot only gain a perfect approximation of face manifold, but also enhance local within-class relations. Experimental results show that the proposed method can improve face recognition performance. (c) 2005 Elsevier B.V. All rights reserved. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence |
| 研究领域[WOS] | Computer Science |
| 关键词[WOS] | NONLINEAR DIMENSIONALITY REDUCTION |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000231436300032 |
| 公开日期 | 2015-12-24 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/9067]  |
| 专题 | 自动化研究所_09年以前成果 |
| 作者单位 | Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China |
| 推荐引用方式 GB/T 7714 | Cheng, J,Liu, QS,Lu, HQ,et al. Supervised kernel locality preserving projections for face recognition[J]. NEUROCOMPUTING,2005,67:443-449. |
| APA | Cheng, J,Liu, QS,Lu, HQ,&Chen, YW.(2005).Supervised kernel locality preserving projections for face recognition.NEUROCOMPUTING,67,443-449. |
| MLA | Cheng, J,et al."Supervised kernel locality preserving projections for face recognition".NEUROCOMPUTING 67(2005):443-449. |
入库方式： OAI收割
来源：自动化研究所
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