In order to overcome the shortcomings of Half-Against-Half SVM (HAH-SVM) and improve the recognition speed and accuracy, a special multi-class SVM-recognizer is designed for pattern identification.
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为了克服HAH多分类SVM(HAH-SVM)的缺陷,提高识别速度和准确率,设计了一种有针对性的SVM多分类器进行模式识别。
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