Improved Gaussian process classification via feature space rotation

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	Improved Gaussian process classification via feature space rotation
	Wang, Liang1 ; Leckie, Christopher A.2
发表期刊	NEUROCOMPUTING
	2012-04-15
卷号	83 页码:89-97
文章类型	Article
摘要	In the pattern recognition problem, numerous studies have been conducted to choose an appropriate feature space for improved classification results. Instead of directly applying any transformations to the input feature data, we aim to adjust the data distribution by appropriately rotating the coordinate system of the original feature data (in the high dimensional space), so that the data distribution along each feature dimension changes accordingly to support better modeling for classification. In particular, in this paper we present a novel feature space rotation strategy for Gaussian process classification, where rotation is applied to pairwise dimensions at a time and only those rotations that make the data more consistent among different dimensions are kept, as determined by an effective consistency measure we define. In this way, the data are adapted to better fit into the isotropic Gaussian process kernel. Extensive experimental results on various types of data sets have demonstrated the effectiveness of our approach. (C) 2011 Elsevier B.V. All rights reserved.
关键词	Feature Space Rotation Isotropic Kernel Consistency Measure Gaussian Process Classification
WOS标题词	Science & Technology ; Technology
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000301613800011
引用统计	被引频次：4[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/173211/3817
专题	智能感知与计算研究中心
作者单位	1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 2.Univ Melbourne, Dept Comp Sci & Software Engn, Melbourne, Vic 3010, Australia
第一作者单位	模式识别国家重点实验室
推荐引用方式 GB/T 7714	Wang, Liang,Leckie, Christopher A.. Improved Gaussian process classification via feature space rotation[J]. NEUROCOMPUTING,2012,83:89-97.
APA	Wang, Liang,&Leckie, Christopher A..(2012).Improved Gaussian process classification via feature space rotation.NEUROCOMPUTING,83,89-97.
MLA	Wang, Liang,et al."Improved Gaussian process classification via feature space rotation".NEUROCOMPUTING 83(2012):89-97.