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基于小波分解提取人脸特征技术和多分类支持向量机模型，提出了一种新的准正面人脸识别算法。
This paper presents a novel algorithm for quasi-frontal face recognition based on the wavelet decomposition technique and a multi-class Support Vector Machine (SVM) model.
为了提高遥感影像分类精度，从抽象级和测量级的两个层次出发，提出混合多分类器结合算法。
To enhance the accuracy of image classification, proposed hybrid multiple classifier combination method from abstract level and measurement level.
费歇算法是一种优良的线性判决方法，适用于很多分类场合。
Fisher algorithm is an effective linear method that can be used at many cases for classfication.
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