Description: 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 classifier KNN, linear discriminant equation LDF classifier, quadratic discriminant equation QDF classifier, RDA rules of discriminant analysis classifier, MQDF improve the quadratic discriminant equation classifier, SVM Support Vector Machine classifier. Also call the main program interface, for example, compressed package there are two test data sets document. Platform: |
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Author:tangxiaojun |
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Description: Matlab数据统计和分析的程序，包含下面所列的多种算法的
MultiLineReg 用线性回归法估计一个因变量与多个自变量之间的线性关系
PolyReg 用多项式回归法估计一个因变量与一个自变量之间的多项式关系
CompPoly2Reg 用二次完全式回归法估计一个因变量与两个自变量之间的关系
CollectAnaly 用最短距离算法的系统聚类对样本进行聚类
DistgshAnalysis 用Fisher两类判别法对样本进行分类
MainAnalysis 对样本进行主成分分析-Matlab data and analysis procedures, listed below contain a variety of algorithms MultiLineReg estimated by linear regression of a dependent variable with a number of independent variables of the linear relationship between PolyReg estimation using a polynomial regression with dependent variable a variable relationship between CompPoly2Reg using quadratic polynomial regression method is estimated that fully a dependent variable and the two since the relationship between variables with the shortest distance CollectAnaly hierarchical clustering algorithm for clustering of samples with Fisher two types of DistgshAnalysis discriminant method to classify samples on the samples MainAnalysis principal component analysis Platform: |
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Author:Wade |
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Description: matlab源程序：
用Fisher两类判别法对样本进行分类
对样本进行主成分分析
用最短距离算法的系统聚类对样本进行聚类
用二次完全式回归法估计一个因变量与两个自变量之间的关系
-matlab source: The Fisher discriminant method, two types of samples to classify the samples by principal component analysis system using the shortest distance clustering algorithm for clustering of samples with the quadratic regression method to estimate a fully dependent variable and two independent variables of the the relationship between the Platform: |
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Author:王磊 |
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Description: 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 ... Platform: |
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Author:李甜甜 |
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Description: 行人重定位算法，识别效果非常好，有源码和文章-Person re-identification is an important technique towards
automatic search of a person’s presence in a surveillance
video. Two fundamental problems are critical for
person re-identification, feature representation and metric
learning. An effective feature representation should be robust
to illumination and viewpoint changes, and a discriminant
metric should be learned to match various person images.
In this paper, we propose an effective feature representation
called Local Maximal Occurrence (LOMO), and
a subspace and metric learning method called Cross-view
Quadratic Discriminant Analysis (XQDA). The LOMO feature
analyzes the horizontal occurrence of local features,
and maximizes the occurrence to make a stable representation
against viewpoint changes. Besides, to handle illumination
variations, we apply the Retinex transform and a
scale invariant texture operator. To learn a discriminant
metric, we propose to learn a discriminant low dimensional
subspace by cross-vi Platform: |
Size: 1156096 |
Author:homawf |
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Search - Quadratic discriminant analysis