A probabilistic model for image representation via multiple patterns

doi:10.1016/j.patcog.2012.04.021

OPT OpenIR > 光谱成像技术研究室

	A probabilistic model for image representation via multiple patterns
	Li, Jun 2; Tao, Dacheng 2; Li, Xuelong 1
作者部门	光学影像分析与学习中心
	2012-11-01
发表期刊	PATTERN RECOGNITION
ISSN	0031-3203
卷号	45 期号:11 页码:4044-4053
产权排序	2
摘要	For image analysis, an important extension to principal component analysis (PCA) is to treat an image as multiple samples, which helps alleviate the small sample size problem. Various schemes of transforming an image to multiple samples have been proposed. Although having been shown effective in practice, the schemes are mainly based on heuristics and experience.
文章类型	Article
关键词	Principal Component Analysis Probabilistic Model
WOS标题词	Science & Technology ; Technology
DOI	10.1016/j.patcog.2012.04.021
收录类别	SCI ; EI
关键词[WOS]	PRINCIPAL COMPONENT ANALYSIS ; DIMENSIONALITY REDUCTION ; FEATURE-EXTRACTION ; RECOGNITION ; MATRIX
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号	WOS:000306584200015
引用统计	被引频次：3[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.opt.ac.cn/handle/181661/20254
专题	光谱成像技术研究室
作者单位	1.Chinese Acad Sci, Ctr OPT IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China 2.Univ Technol Sydney, Ctr Quantum & Intelligent Syst, Sydney, NSW 2007, Australia
推荐引用方式 GB/T 7714	Li, Jun,Tao, Dacheng,Li, Xuelong. A probabilistic model for image representation via multiple patterns[J]. PATTERN RECOGNITION,2012,45(11):4044-4053.
APA	Li, Jun,Tao, Dacheng,&Li, Xuelong.(2012).A probabilistic model for image representation via multiple patterns.PATTERN RECOGNITION,45(11),4044-4053.
MLA	Li, Jun,et al."A probabilistic model for image representation via multiple patterns".PATTERN RECOGNITION 45.11(2012):4044-4053.

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文件名称/大小	文献类型	版本类型	开放类型	使用许可
A probabilistic mode（999KB）	期刊论文	出版稿	限制开放	CC BY	请求全文