Graphical lasso quadratic discriminant function and its application to character recognition

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	Graphical lasso quadratic discriminant function and its application to character recognition
	Xu, Bo1 ; Huang, Kaizhu 5; King, Irwin 3; Liu, Cheng-Lin2 ; Sun, Jun 4; Satoshi, Naoi 4
刊名	NEUROCOMPUTING
	2014-04-10
卷号	129 页码:33-40
关键词	Graphical lasso Quadratic discriminant function Character recognition
英文摘要	Multivariate Gaussian distribution is a popular assumption in many pattern recognition tasks. The quadratic discriminant function (QDF) is an effective classification approach based on this assumption. An improved algorithm, called modified QDF (or MQDF in short) has achieved great success and is widely recognized as the state-of-the-art method in character recognition. However, because both of the two approaches estimate the mean and covariance by the maximum-likelihood estimation (MLE), they often lead to the loss of the classification accuracy when the number of the training samples is small. To attack this problem, in this paper, we engage the graphical lasso method to estimate the covariance and propose a new classification method called the graphical lasso quadratic discriminant function (GLQDF). By exploiting a coordinate descent procedure for the lasso, GLQDF can estimate the covariance matrix (and its inverse) more precisely. Experimental results demonstrate that the proposed method can perform better than the competitive methods on two artificial and nine real datasets (including both benchmark digit and Chinese character data). (C) 2013 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]	SELECTION ; MACHINE ; MODEL
收录类别	SCI ; ISTP
语种	英语
WOS记录号	WOS:000332132400005
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/2784]
专题	数字内容技术与服务研究中心_听觉模型与认知计算
作者单位	1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Inst Automat, NLPR, Beijing 100190, Peoples R China 3.Chinese Univ Hong Kong, Dept CSE, Hong Kong, Hong Kong, Peoples R China 4.Fujitsu Res & Dev Ctr, Beijing, Peoples R China 5.Xian Jiaotong Liverpool Univ, Dept Elect & Elect Engn, Suzhou 215123, Jiangsu, Peoples R China
推荐引用方式 GB/T 7714	Xu, Bo,Huang, Kaizhu,King, Irwin,et al. Graphical lasso quadratic discriminant function and its application to character recognition[J]. NEUROCOMPUTING,2014,129:33-40.
APA	Xu, Bo,Huang, Kaizhu,King, Irwin,Liu, Cheng-Lin,Sun, Jun,&Satoshi, Naoi.(2014).Graphical lasso quadratic discriminant function and its application to character recognition.NEUROCOMPUTING,129,33-40.
MLA	Xu, Bo,et al."Graphical lasso quadratic discriminant function and its application to character recognition".NEUROCOMPUTING 129(2014):33-40.