Maxi-Min discriminant analysis via online learning

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 模式分析与学习

	Maxi-Min discriminant analysis via online learning
	Xu, Bo; Huang, Kaizhu; Liu, Cheng-Lin
发表期刊	NEURAL NETWORKS
	2012-10-01
卷号	34 页码:56-64
文章类型	Article
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.
关键词	Linear Discriminant Analysis Dimensionality Reduction Multi-category Classification Handwritten Chinese Character Recognition
WOS标题词	Science & Technology ; Technology ; Life Sciences & Biomedicine
关键词[WOS]	CHINESE CHARACTER-RECOGNITION ; DIMENSIONALITY REDUCTION ; OPTIMIZATION
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Neurosciences & Neurology
WOS类目	Computer Science, Artificial Intelligence ; Neurosciences
WOS记录号	WOS:000308842300007
引用统计	被引频次：15[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/3083
专题	多模态人工智能系统全国重点实验室_模式分析与学习
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.

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