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。

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.

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支持向量机是一种基于统计学习理论的新型机器学习方法，它可以被广泛地用于非线性系统建模。

Support vector machine (SVM) is a brand-new machine learning technique based on statistical learning theory. It is an ideal facility for modeling of various nonlinear systems.

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支持向量机(SVM)是基于统计学习理论的新一代机器学习技术。

Support vector machine (SVM) is a new generation machine learning technique based on the statistical learning theory.

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