Learning Regularized LDA by Clustering

CORC > 西安光学精密机械研究所 > 中国科学院西安光学精密机械研究所 > 光学影像学习与分析中心

	Learning Regularized LDA by Clustering
	Pang, Yanwei 1; Wang, Shuang 1; Yuan, Yuan2
刊名	ieee transactions on neural networks and learning systems
	2014-12-01
卷号	25 期号:12 页码:2191-2201
关键词	Dimensionality reduction face recognition feature extraction linear discriminant analysis (LDA)
ISSN号	2162-237x
产权排序	2
合作状况	国内
英文摘要	as a supervised dimensionality reduction technique, linear discriminant analysis has a serious overfitting problem when the number of training samples per class is small. the main reason is that the between-and within-class scatter matrices computed from the limited number of training samples deviate greatly from the underlying ones. to overcome the problem without increasing the number of training samples, we propose making use of the structure of the given training data to regularize the between- and within-class scatter matrices by between-and within-cluster scatter matrices, respectively, and simultaneously. the within-and between-cluster matrices are computed from unsupervised clustered data. the within-cluster scatter matrix contributes to encoding the possible variations in intraclasses and the between-cluster scatter matrix is useful for separating extra classes. the contributions are inversely proportional to the number of training samples per class. the advantages of the proposed method become more remarkable as the number of training samples per class decreases. experimental results on the ar and feret face databases demonstrate the effectiveness of the proposed method.
WOS标题词	science & technology ; technology
类目[WOS]	computer science, artificial intelligence ; computer science, hardware & architecture ; computer science, theory & methods ; engineering, electrical & electronic
研究领域[WOS]	computer science ; engineering
关键词[WOS]	linear discriminant-analysis ; face-recognition ; feature-extraction ; dimensionality reduction ; classification ; algorithms ; selection
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000345518900006
公开日期	2015-03-19
内容类型	期刊论文
源URL	[http://ir.opt.ac.cn/handle/181661/22417]
专题	西安光学精密机械研究所_光学影像学习与分析中心
作者单位	1.Tianjin Univ, Sch Elect Informat Engn, Tianjin 300072, Peoples R China 2.Chinese Acad Sci, Ctr Opt Imagery Anal & Learning, State Key Lab Transient Opt & Photon, Xian 710119, Peoples R China
推荐引用方式 GB/T 7714	Pang, Yanwei,Wang, Shuang,Yuan, Yuan. Learning Regularized LDA by Clustering[J]. ieee transactions on neural networks and learning systems,2014,25(12):2191-2201.
APA	Pang, Yanwei,Wang, Shuang,&Yuan, Yuan.(2014).Learning Regularized LDA by Clustering.ieee transactions on neural networks and learning systems,25(12),2191-2201.
MLA	Pang, Yanwei,et al."Learning Regularized LDA by Clustering".ieee transactions on neural networks and learning systems 25.12(2014):2191-2201.