Random independent subspace for face recognition
文献类型：期刊论文
| 作者 | Cheng, J ; Liu, QS; Lu, HQ; Chen, YW; Negoita, MG; Howlett, RJ; Jain, LC
|
| 刊名 | KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 2, PROCEEDINGS
 |
| 出版日期 | 2004 |
| 卷号 | 3214页码:352-358 |
| 英文摘要 | Independent Component Analysis (ICA) is a popular approach for face recognition. However, face recognition is often a small sample size problem, which will weaken the recognition performance of ICA classifier. In this paper, a novel method is proposed to enhance ICA classifier for the small sample size problem. First, we use the random resampling method to generate some random independent subspaces, and a classifier is constructed in each subspace. Then a voting strategy is adopted to integrate these classifiers for discrimination. Experimental results on public available face database show that the proposed method can obvious improve the performance of ICA classifier. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Computer Science, Information Systems |
| 研究领域[WOS] | Computer Science |
| 收录类别 | ISTP ; SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000224585400045 |
| 公开日期 | 2015-12-24 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/9958]  |
| 专题 | 自动化研究所_09年以前成果 |
| 作者单位 | Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100080, Peoples R China |
| 推荐引用方式 GB/T 7714 | Cheng, J,Liu, QS,Lu, HQ,et al. Random independent subspace for face recognition[J]. KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 2, PROCEEDINGS,2004,3214:352-358. |
| APA | Cheng, J.,Liu, QS.,Lu, HQ.,Chen, YW.,Negoita, MG.,...&Jain, LC.(2004).Random independent subspace for face recognition.KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 2, PROCEEDINGS,3214,352-358. |
| MLA | Cheng, J,et al."Random independent subspace for face recognition".KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 2, PROCEEDINGS 3214(2004):352-358. |
入库方式： OAI收割
来源：自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。