The speed of the classification is fast without the sample training or pattern matching.

该分类方法避免了样本训练和模板匹配，分类速度快。

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This algorithm USES the prediction error threshold to retain the useful information to decrease sample training scale.

该算法利用预测误差阈值进行样本的取舍，在尽量保留有用信息的情况下减小样本训练规模。

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The algorithm of face recognition based on kernel principal component analysis(KPCA)can abstract nonlinear features of image and can get better performance under less sample training conditions.

基于核主成分分析（KPCA）的人脸识别算法能够提取非线性图像特征，在小样本训练条件下有较好性能。

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The algorithm of face recognition based on kernel principal component analysis(KPCA)can abstract nonlinear features of image and can get better performance under less sample training conditions.

基于核主成分分析（KPCA）的人脸识别算法能够提取非线性图像特征，在小样本训练条件下有较好性能。

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