实验结果表明混合分类器分类准确度和分类速度得到提高。

The experimental results show that the hybrid classifier has higher classification precision and is more efficient than other classifiers.

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鉴于人脸识别问题的特殊性，将传统分类方法与人工神经网络方法结合起来，构造了一个混合分类器，从而极大地提高了识别率。

A hybrid classifier is formed by combining the traditional classification method with an artificial neural algorithm to significantly improve the rafe of recognition.

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针对分形图像压缩中矩形划分计算量太大的问题，提出了一种混合分类方法并将其应用于图像的矩不变量，得到了一种基于矩形划分的快速分形编码方法。

Aiming at the question that the computational complexity of HV partition is great in fractal image compressing, a hybrid classification method was proposed and it was used on mass center of image.

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