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Auto-weighted 2-dimensional maximum margin criterion
Zhang, Han1; Nie, Feiping1; Zhang, Rui1; Li, Xuelong2; Nie, Feiping (feipingnie@gmail.com)
作者部门光学影像学习与分析中心
2018-09
发表期刊Pattern Recognition
ISSN00313203
卷号83页码:220-229
产权排序2
摘要

As a hot topic in machine learning, supervised learning is applied to both classification and recognition frequently. However, parameter-tuning in most supervised methods is a laborious work due to its complexity and unpredictability. In this paper, we propose an auto-weighted approach, termed as auto-weighted 2-dimensional maximum margin criterion, which updates the introduced weight in each iteration automatically to leverage the associated terms, so that the weight becomes insensitive to initialization. In addition, the proposed method extracts features from 2-order data directly, i.e., image data. Moreover, we have an observation that the objective value in the proposed method could directly reflect the performance in classification task under the varying dimensionality, which is much beneficial to selection of the optimal dimensionality. Extensive experiments on several datasets are conducted to validate that our method is of great superiority compared to other approaches. © 2018 Elsevier Ltd

DOI10.1016/j.patcog.2018.05.021
收录类别SCI ; EI
语种英语
WOS记录号WOS:000442172200017
EI入藏号20182405301511
引用统计
文献类型期刊论文
条目标识符http://ir.opt.ac.cn/handle/181661/30353
专题光学影像学习与分析中心
通讯作者Nie, Feiping (feipingnie@gmail.com)
作者单位1.School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi'an; Shaanxi; 710072, China
2.Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; Shaanxi; 710119, China
推荐引用方式
GB/T 7714
Zhang, Han,Nie, Feiping,Zhang, Rui,et al. Auto-weighted 2-dimensional maximum margin criterion[J]. Pattern Recognition,2018,83:220-229.
APA Zhang, Han,Nie, Feiping,Zhang, Rui,Li, Xuelong,&Nie, Feiping .(2018).Auto-weighted 2-dimensional maximum margin criterion.Pattern Recognition,83,220-229.
MLA Zhang, Han,et al."Auto-weighted 2-dimensional maximum margin criterion".Pattern Recognition 83(2018):220-229.
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