目标识别中SVM线性可分性研究
doi: 10.3724/SP.J.1146.2007.01662
The Study on the Separability of SVM Used in Target Recognition
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摘要: 该文主要研究了目标识别中SVM线性可分的充要条件以及线性不可分时软间隔分类的内涵。首先给出了SVM特征空间线性可分充要条件的简洁清晰、物理意义更明确的证明过程，然后证明了SVM特征空间线性不可分情况下，SVM软间隔分类超平面引入惩罚因子的实质，给出了惩罚因子的新解释。Abstract: This paper mainly studies the sufficient necessary condition of linear separability and the essential of soft margin in SVM, which is used in target recognition. In this paper, the sufficient necessary condition of linear separability is proved using a brief and clear method, and also proved and explained the new essential of penalty factor in SVM.
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