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。
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。
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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