The traditional statistical classifier is suitable in making RS image classification in normal distribution and unsuitable in doing with the data in discrete distribution, such as the geographic data.

传统统计模式识别方法进行遥感影像分类时要求数据服从正态分布且难以加入地理辅助数据。

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The main idea of which consists of three parts: the discriminating feature analysis of the images, the statistical modeling of face and non-face classes, and the Bayes classifier for face detection.

研究了人脸检测的贝叶斯特征判别法，该方法包括三个部分：原始图像的特征判别分析、人脸区和其它区的统计建模以及贝叶斯分类器。

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Moreover, the amount of examples needed to build a reliable classifier by statistical means is much larger than it is available for humans.

况且，通过统计手段来建立一个可靠的分类器，对于人类来说需要非常巨大的用例数目。

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