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Auto-weighted 2-dimensional maximum margin criterion
Zhang, Han1; Nie, Feiping1; Zhang, Rui1; Li, Xuelong2; Nie, Feiping (feipingnie@gmail.com)
Department光学影像学习与分析中心
2018-09
Source PublicationPattern Recognition
ISSN00313203
Volume83Pages:220-229
Contribution Rank2
Abstract

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
Indexed BySCI ; EI
Language英语
WOS IDWOS:000442172200017
EI Accession Number20182405301511
Citation statistics
Document Type期刊论文
Identifierhttp://ir.opt.ac.cn/handle/181661/30353
Collection光学影像学习与分析中心
Corresponding AuthorNie, Feiping (feipingnie@gmail.com)
Affiliation1.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
Recommended Citation
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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