中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Transfer latent variable model based on divergence analysis

文献类型:期刊论文

作者Gao, Xinbo2; Wang, Xiumei2; Li, Xuelong1; Tao, Dacheng3
刊名pattern recognition
出版日期2011-10-01
卷号44期号:10-11页码:2358-2366
关键词Dimensionality reduction Latent variable model Transfer learning Bregman divergence
ISSN号0031-3203
英文摘要latent variable models are powerful dimensionality reduction approaches in machine learning and pattern recognition. however, this kind of methods only works well under a necessary and strict assumption that the training samples and testing samples are independent and identically distributed. when the samples come from different domains, the distribution of the testing dataset will not be identical with the training dataset. therefore, the performance of latent variable models will be degraded for the reason that the parameters of the training model do not suit for the testing dataset. this case limits the generalization and application of the traditional latent variable models. to handle this issue, a transfer learning framework for latent variable model is proposed which can utilize the distance (or divergence) of the two datasets to modify the parameters of the obtained latent variable model. so we do not need to rebuild the model and only adjust the parameters according to the divergence, which will adopt different datasets. experimental results on several real datasets demonstrate the advantages of the proposed framework. (c) 2010 elsevier ltd. all rights reserved.
WOS标题词science & technology ; technology
类目[WOS]computer science, artificial intelligence ; engineering, electrical & electronic
研究领域[WOS]computer science ; engineering
关键词[WOS]nonlinear dimensionality reduction ; principal component analysis ; framework
收录类别SCI ; EI
语种英语
WOS记录号WOS:000292849000014
公开日期2011-07-12
源URL[http://ir.opt.ac.cn/handle/181661/10179]  
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.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Ctr OPT IMagery Anal & Learning OPTIMAL, Xian 710119, Shaanxi, Peoples R China
2.Xidian Univ, Sch Elect Engn, Xian 710071, Peoples R China
3.Nanyang Technol Univ, Sch Comp Engn, Singapore 639798, Singapore
推荐引用方式
GB/T 7714
Gao, Xinbo,Wang, Xiumei,Li, Xuelong,et al. Transfer latent variable model based on divergence analysis[J]. pattern recognition,2011,44(10-11):2358-2366.
APA Gao, Xinbo,Wang, Xiumei,Li, Xuelong,&Tao, Dacheng.(2011).Transfer latent variable model based on divergence analysis.pattern recognition,44(10-11),2358-2366.
MLA Gao, Xinbo,et al."Transfer latent variable model based on divergence analysis".pattern recognition 44.10-11(2011):2358-2366.

入库方式: OAI收割

来源:西安光学精密机械研究所

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