F-SVM: Combination of Feature Transformation and SVM Learning via Convex Relaxation

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Wu, Xiaohe; Zuo, Wangmeng; Zhu, Yuanyuan; Lin, Liang;
  • Subject: Computer Science - Computer Vision and Pattern Recognition | Computer Science - Learning
    arxiv: Computer Science::Machine Learning | Computer Science::Computer Vision and Pattern Recognition | Computer Science::Sound | Statistics::Machine Learning
    acm: ComputingMethodologies_PATTERNRECOGNITION

The generalization error bound of support vector machine (SVM) depends on the ratio of radius and margin, while standard SVM only considers the maximization of the margin but ignores the minimization of the radius. Several approaches have been proposed to integrate radi... View more
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