Maxi-Min discriminant analysis via online learning
文献类型：期刊论文
| 作者 | Xu, Bo ; Huang, Kaizhu; Liu, Cheng-Lin
|
| 刊名 | NEURAL NETWORKS
 |
| 出版日期 | 2012-10-01 |
| 卷号 | 34页码:56-64 |
| 关键词 | Linear discriminant analysis Dimensionality reduction Multi-category classification Handwritten Chinese character recognition |
| 英文摘要 | Linear Discriminant Analysis (LDA) is an important dimensionality reduction algorithm, but its performance is usually limited on multi-class data. Such limitation is incurred by the fact that LDA actually maximizes the average divergence among classes, whereby similar classes with smaller divergence tend to be merged in the subspace. To address this problem, we propose a novel dimensionality reduction method called Maxi-Min Discriminant Analysis (MMDA). In contrast to the traditional LDA, MMDA attempts to find a low-dimensional subspace by maximizing the minimal (worst-case) divergence among classes. This "minimal" setting overcomes the problem of LDA that tends to merge similar classes with smaller divergence when used for multi-class data. We formulate MMDA as a convex problem and further as a large-margin learning problem. One key contribution is that we design an efficient online learning algorithm to solve the involved problem, making the proposed method applicable to large scale data. Experimental results on various datasets demonstrate the efficiency and the efficacy of our proposed method against five other competitive approaches, and the scalability to the data with thousands of classes. (C) 2012 Elsevier Ltd. All rights reserved. |
| WOS标题词 | Science & Technology ; Technology ; Life Sciences & Biomedicine |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Neurosciences |
| 研究领域[WOS] | Computer Science ; Neurosciences & Neurology |
| 关键词[WOS] | CHINESE CHARACTER-RECOGNITION ; DIMENSIONALITY REDUCTION ; OPTIMIZATION |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000308842300007 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/3083]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_模式分析与学习团队 |
| 作者单位 | Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xu, Bo,Huang, Kaizhu,Liu, Cheng-Lin. Maxi-Min discriminant analysis via online learning[J]. NEURAL NETWORKS,2012,34:56-64. |
| APA | Xu, Bo,Huang, Kaizhu,&Liu, Cheng-Lin.(2012).Maxi-Min discriminant analysis via online learning.NEURAL NETWORKS,34,56-64. |
| MLA | Xu, Bo,et al."Maxi-Min discriminant analysis via online learning".NEURAL NETWORKS 34(2012):56-64. |
入库方式： OAI收割
来源：自动化研究所
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