中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Improved Gaussian process classification via feature space rotation

文献类型:期刊论文

作者Wang, Liang1; Leckie, Christopher A.2
刊名NEUROCOMPUTING
出版日期2012-04-15
卷号83页码:89-97
关键词Feature space rotation Isotropic kernel Consistency measure Gaussian process classification
英文摘要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.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Artificial Intelligence
研究领域[WOS]Computer Science
收录类别SCI
语种英语
WOS记录号WOS:000301613800011
源URL[http://ir.ia.ac.cn/handle/173211/3817]  
专题自动化研究所_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
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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.

入库方式: OAI收割

来源:自动化研究所

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