Face recognition using overcomplete independent component analysis
文献类型：期刊论文
| 作者 | Cheng, J ; Lu, HQ; Chen, YW; Zeng, XY; Palade, V; Howlett, RJ; Jain, L
|
| 刊名 | KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 1, PROCEEDINGS
 |
| 出版日期 | 2003 |
| 卷号 | 2773页码:1443-1448 |
| 英文摘要 | Most current face recognition algorithms find a set of basis functions in a subspace by training the input data. However, in many applications, the training data is limited or only a few training data are available. In the case, these classic algorithms degrade rapidly. The overcomplete independent component analysis (overcomplete ICA) can separate out more source signals than the input data. In this paper, we use the overcomplete ICA for face recognition with the limited training data. The experimental results show that the overcomplete ICA can improve efficiently the recognition rate. |
| 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] | SEPARATION |
| 收录类别 | ISTP ; SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000186518000194 |
| 公开日期 | 2015-12-24 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/9884]  |
| 专题 | 自动化研究所_09年以前成果 |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China 2.Univ Ryukyus, Fac Engn, Dept EEE, Nishihara, Okinawa 90301, Japan |
| 推荐引用方式 GB/T 7714 | Cheng, J,Lu, HQ,Chen, YW,et al. Face recognition using overcomplete independent component analysis[J]. KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 1, PROCEEDINGS,2003,2773:1443-1448. |
| APA | Cheng, J.,Lu, HQ.,Chen, YW.,Zeng, XY.,Palade, V.,...&Jain, L.(2003).Face recognition using overcomplete independent component analysis.KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 1, PROCEEDINGS,2773,1443-1448. |
| MLA | Cheng, J,et al."Face recognition using overcomplete independent component analysis".KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 1, PROCEEDINGS 2773(2003):1443-1448. |
入库方式： OAI收割
来源：自动化研究所
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