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各种分类器的介绍，算法的研究论文，还有模式识别的基础知识-Introduction of various classifiers, the algorithm research paper, as well as the basics of pattern recognition
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Abstract. This paper describes a system for isolated Kannada handwritten
numerals recognition using image fusion method. Several digital
images corresponding to each handwritten numeral are fused to generate
patterns, which are stored in 8x8 ma
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详细介绍了Fisher分类器的基本原理以及应用，是模式识别学习不错的资料-Described in detail the basic principles and application of the Fisher classifier is a pattern recognition learning good information
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The primary goal of pattern recognition is supervised or unsupervised classification. Among the various frameworks in
which pattern recognition has been traditionally formulated, the statistical approach has been most intensively studied and used i
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提出了基于主动学习SVM的局部放电模式识别方法。将主动学习的思想引用到“一对一”多分类SVM分类器,选用基于后验概率的釆样函数对放电样本进行选择,挑选出对分类器最有价值的样本进行训练。
-Puts forward the partial discharge pattern recognition method based on active learning SVM. Will reference to the one to one the ideology of active stud
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为了实现复杂环境下的人脸特征有效表达，提出一种改进的梯度方向直方图（ＨＯＧ）人脸识别方法．首先以人脸图像网格作为采样窗口并在其上提取 ＨＯＧ特征；然后将所有网格 ＨＯＧ特征向量进行组合，实现整个人脸特
征表达；最后采用最近邻分类器进行识别．另外，比较了该方法与Ｇａｂｏｒ小波和局部二值模式（ＬＢＰ）２种著名的人脸
局部特征表示方法的优劣．实验结果表明，在调优的 ＨＯＧ参数下，在具有光照和时间环境等复杂变化的ＦＥＲＥＴ人
脸库中，较少维数的 ＨＯＧ特征比ＬＢＰ特征有更好的表现，而且 ＨＯ
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模式识别的贝叶斯公式进行设计分类器A Bayesian formulation for large data pattern recognition is designed for classifier-A Bayesian formulation for large data pattern recognition is designed for classifier
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可以分别介绍度量距离的KNN分类器英文论文，有欧式和马氏距离。对模式识别十分重要的作用，可以帮助新手更好的理解KNN原理，对人脸识别有着很好的演示作用。-KNN classifier can respectively introduces measure distance English papers, style and markov distance. For pattern recognition is an important role, can help beginners a bet
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