This paper mainly make research on classify methods based on statistical theory, support vector machine (SVM), and feature extraction method-wavelet transform, and using them in human face detection.

本文主要研究目前较为流行的基于统计学习理论的分类方法——支持向量机方法(SVM)，以及小波变换提取特征的方法，将其用于人脸检测。

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The extraction of effective feature vector and pattern recognition is the key technique in the process of mechanical condition monitoring and diagnosis.

有效特征向量的提取和状态识别是设备状态监测与故障诊断中的关键技术。

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According to features of edge gradient maps of face images, a new eye feature extraction algorithm based on gradient vector flow field was proposed.

根据人脸图像的边缘梯度图提出了一种新的基于梯度向量流场的眼睛特征提取方法。

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