Xiao-Long Liang

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The present training method of support vector machine has large computational cost. Integrating SVM’s geometrical interpretation and structural risk minimization, a new fast support vector machine: Centroid Normal Direct Support Vector Machine (CNDSVM) was proposed. The normal vector of optimal separating hyperplane was determined by the connective(More)
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