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Robust support vector machines based on the rescaled hinge loss function

文献类型：期刊论文

作者Xu, Guibiao1; Cao, Zheng2; Hu, Bao-Gang1; Principe, Jose C.2
刊名PATTERN RECOGNITION
出版日期2017-03-01
卷号63页码:139-148
关键词Support Vector Machine Robustness Rescaled Hinge Loss Half-quadratic Optimization
DOI10.1016/j.patcog.2016.09.045
文献子类Article
英文摘要The support vector machine (SVM) is a popular classifier in machine learning, but it is not robust to outliers. In this paper, based on the Correntropy induced loss function, we propose the resealed hinge loss function which is a monotonic, bounded and nonconvex loss that is robust to outliers. We further show that the hinge loss is a special case of the proposed resealed hinge loss. Then, we develop a new robust SVM based on the resealed hinge loss. After using the half-quadratic optimization method, we find that the new robust SVM is equivalent to an iterative weighted SVM, which can help explain the robustness of iterative weighted SVM from a loss function perspective. Experimental results confirm that the new robust SVM not only performs better than SVM and the existing robust SVMs on the datasets that have outliers, but also presents better sparseness than SVM.
WOS关键词CLASSIFICATION ; MINIMIZATION ; RECOGNITION ; CORRENTROPY ; SIGNAL
WOS研究方向Computer Science ; Engineering
语种英语
WOS记录号WOS:000389785900011
资助机构NSFC(61273196) ; China Scholarship Council
源URL[http://ir.ia.ac.cn/handle/173211/13367]  
专题自动化研究所_模式识别国家重点实验室_多媒体计算与图形学团队
作者单位1.Chinese Acad Sci, Inst Automat, NLPR, Beijing 100190, Peoples R China
2.Univ Florida, CNEL, Dept Elect & Comp Engn, Gainesville, FL 32611 USA
推荐引用方式
GB/T 7714		 Xu, Guibiao,Cao, Zheng,Hu, Bao-Gang,et al. Robust support vector machines based on the rescaled hinge loss function[J]. PATTERN RECOGNITION,2017,63:139-148.
APA Xu, Guibiao,Cao, Zheng,Hu, Bao-Gang,&Principe, Jose C..(2017).Robust support vector machines based on the rescaled hinge loss function.PATTERN RECOGNITION,63,139-148.
MLA Xu, Guibiao,et al."Robust support vector machines based on the rescaled hinge loss function".PATTERN RECOGNITION 63(2017):139-148.

入库方式： OAI收割

来源：自动化研究所

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