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This paper proposes an improved scheme of using the inter-cluster distance in the feature space to choose the kernel parameters. First, the candidate vectors of the training set are selected. Then calculate the inter-cluster distance between classes to choose the proper kernel parameters. Finally the selected kernel parameters are used to train the support vector machine (SVM) models. The basic principle...
Imbalanced distributions and mis-classified costs of two classes made conventional classification methods suffered. This paper proposed a new fast parallel classification method for imbalanced classes. Considering imbalanced distributions, the approach adopted a fast simple classifier with less features input working parallel with a complicated one. Most samples would be correctly recognized by the...
This paper proposes a hierarchical method to deal with the multi-pose face recognition problem. The Local Binary Pattern (LBP) feature is used as the uniform feature throughout the two-hierarchy process. Also, a new method, named Multi-expert Intelligent Decision System, is proposed to improve the performance of the pose estimation process. According to the experiments, the method is proved to be...
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