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本程序采用线性判别分析方法实现的字符识别,达到较高的识别率。并给出了很多实验得到的识别结果-the adoption of linear discriminant analysis method of character recognition, reach a higher recognition rate. Given the many experimental results Recognition
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这里面包含两个文件,可以实现主成分分析(PCA)算法和线性判别分析(LDA)算法。不过还需要CMatrix类的定义。-which contained two documents, can be achieved principal component analysis (PCA) algorithm and linear discriminant analysis (LDA) algorithm. But also need CMatrix class definition.
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正交线性判别分析(Orthogonal Linear Discriminant Analysis),可以用于数据降维上面。-orthogonal linear discriminant analysis (Orthogonal Linear Discriminan t Analysis), can be used for cutting down the data above.
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基于奇异值分解的核线性判别分析(Kernel Discriminant Analysis via QR Decomposition)。
-based on the singular value decomposition of the nuclear linear discriminant analysis (Kernel Discriminant An alysis via QR Decomposition).
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线性决策分析,一个最经典的线性降维方法,也是最经典的最简单的监督学习算法,A CLASSICAL LINEAR DISCRIMINANT ANALYSIS
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线形判别分析算法和knn最近邻算法的实现,Linear discriminant analysis algorithm and KNN nearest neighbor algorithm
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关于线性(FISHER)判别分析的中文文献,从核心期刊中下载得到。,About Linear (FISHER) Discriminant Analysis of English literature, from the core journals have been downloaded.
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使用matlab实现的LDA(线性判别分析)分类器,以及PCA的实现-Implemented using matlab LDA (linear discriminant analysis) classifier, and the implementation of PCA
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该程序包实现了几个常用的模式识别分类器算法,包括K近邻分类器KNN、线性判别方程LDF分类器、二次判别方程QDF分类器、RDA规则判别分析分类器、MQDF改进二次判别方程分类器、SVM支持向量机分类器。 主程序中还有接口调用举例,压缩包中还有两个测试数据集文件。-The package to achieve a number of commonly used pattern recognition classifier algorithms, including K neighbor class
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1、编制程序显示印章图像(24位真彩色位图);
2、读出位图中每一像素点的(R,G,B)样本值;
3、以RGB其中某两个(或三个)为坐标,取一定数量的图像点为分析样本,分析其坐标系中的分布;
4、采用本章学习的方法找到分类判别函数,对这些样本进行分类;(要求首先将印章与底纹区分,如有可能将印章、底纹、签字区分)
5、将分类后的结果标记到原始图像上,检查其效果。
-1, the preparation procedures showed that the seal image
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核直接线性判别方法:图像及高维复杂数据模式识别的利器!内有方法开发的相关文档说明!经典!-The matlab functions implement the methods presented in the paper [TNN_KDDA02.pdf]
Juwei Lu, K.N. Plataniotis, and A.N. Venetsanopoulos, "Face Recognition Using
Kernel Direct Discriminant Anal
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模式识别经典算法:fisher判别分析的二次优化形式实现。-Classic pattern recognition algorithms: fisher discriminant analysis achieved in the form of quadratic optimization.
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该程序包实现了模式识别中的两个特征提取算法,主成分分析PCA和线性判别分析LDA。采用C++语言编写,开发环境VS。 程序包还提供了两个测试样本文件。-The package to achieve the recognition of the two feature extraction algorithm, principal component analysis PCA and linear discriminant analysis LDA. Using C++ language, dev
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DCT用于掌纹识别的word论文文档,比pdf更容易阅读编辑和引用,供大家学习和交流-The discrete cosine transform is a classical image processing technique, and the discriminant analysis is a commonly used image feature extraction technique. These two techniques are effectively combined in
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Semi-supervised Discriminant Analysis
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KDA: Kernel Discriminant Analysis
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This file represents Cline Specific linear discriminiant based on linear discriminant analysis.
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article about PCA algorithm
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Paper on non linear discriminant analysis.
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some algorithm of linear dicriminant analysis
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