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不是源码，是OCR识别文献。
非常好的汉字识别资料。 -Modified quadratic discriminant functions and the application to Chinese
character recognition”, IEEE. Transactions on Pattern Analysis and Machine ...
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Fisher判别的基本思想是将k$个总体的所有$维空间的样本点投影到一维空间上，使投影后组与组之间尽可能的分开，然后利用方差分析的方法推出判别函数。为了简单起见，通常利用线性的判别函数。-The basic idea of Fisher discriminant is k $ total $ dimensional space sample point projection to the one-dimensional space, so that the projection between
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线性判别式分析(Linear Discriminant Analysis, LDA)，也叫做Fisher 线性判别(Fisher Linear Discriminant ,FLD)，是模式识别的经典算法,新手学习的良好素材-Linear discriminant analysis (Linear Discriminant Analysis, LDA), also known as Fisher linear discriminant (Fisher Linear Discriminant, FL
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特征提取基于改进的局部敏感判别分析--克服了原始算法的存在的局外点问题。An improved locality sensitive discriminant analysis approach for feature extraction-An improved locality sensitive discriminant analysis approach for feature extraction
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基于LDA线性辨别分析的人脸识别算法，采用KNN分类器，可直接运行，自带数据库，识别率有88 。-LDA face recognition algorithm based on linear discriminant analysis, using KNN classifier, can be directly run, comes with a , the recognition rate of 88 .
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Feature scaling for kernel Fisher discriminant analysis usin
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