Auto-weighted 2-dimensional maximum margin criterion | |
Zhang, Han1; Nie, Feiping1; Zhang, Rui1; Li, Xuelong2; Nie, Feiping (feipingnie@gmail.com) | |
刊名 | Pattern Recognition |
2018-09 | |
卷号 | 83页码:220-229 |
ISSN号 | 00313203 |
DOI | 10.1016/j.patcog.2018.05.021 |
产权排序 | 2 |
英文摘要 | 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 |
语种 | 英语 |
WOS记录号 | WOS:000442172200017 |
内容类型 | 期刊论文 |
源URL | [http://ir.opt.ac.cn/handle/181661/30353] |
专题 | 西安光学精密机械研究所_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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