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人脸识别文章 Uncorrelated Discriminant Nearest Feature Line Analysis for Face Recognition-Face article Uncorrelated Discriminant Nearest Feature Line Analysis for Face Recognition
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贝叶斯优化在线性判别分析中的应用，这是国外一个大牛写的程序，很有价值-This code is an implementation of the method Bayes Optimal Discriminant Analysis
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基本思想是选择使得Fisher准则函数达到极值的向量作为最佳投影方向，从而使得样本在该方向上投影后，达到最大的类间离散度和最小的类内离散度。-Linear Discriminant Analysis (Generally, LDA can also use LGE as a subroutine. However, we can use the special graph structure of LDA to obtain some computational benefits.)
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Matlab针对各种数据预处理的降维方法，源码集合。-Currently, the Matlab Toolbox for Dimensionality Reduction contains the following techniques:
Principal Component Analysis (PCA)
Probabilistic PCA
Factor Analysis (FA)
Sammon mapping
Lin
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Fisher判别分析，能够通过该程序，实现相应的样本分类-Fisher discriminant analysis, through the program, realize the classification of samples of the corresponding
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贝叶斯判别分析，能够较好地实现对样本的分类，方法简单易行。-Bias discriminant analysis, to better achieve the classification of samples, simple and easy method.
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距离判别分析，能够较好地实现对样本的分类，方法简单易行。-Distance discriminant analysis, to better achieve the classification of samples, simple and easy method.
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逐步判别分析，能够较好地实现对样本的分类，方法简单易行。-Stepwise discriminant analysis, to better achieve the classification of samples, simple and easy method.
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基于bayes的判别分析应用，集体应用可修改数据-Bayes discriminant analysis applications based on the collective application can modify data
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清华模式识别第二次作业，采用dataset2.txt 数据作训练样本，采用身高与体重特征进行性别分类，建立最小错误贝叶斯分类器；2、采用身高体重数据作为特征，以 dataset2.txt 作为训练数据，用 Fisher 线性判别方法设计分类器；3、从多层感知器、SVM、近邻法选择一种方法，进行上述的分类实验；-Tsinghua second operation pattern recognition using dataset2.txt data for training samples, us
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基于不相关家别最近邻特征线分析的人脸识别研究。-Uncorrelated Discriminant Nearest Feature
Line Analysis for Face Recognition
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(1)Bayes分类
已知N=9， =3，n=2，C=3,问x= 应属于哪一类？
(2)聚类
使用c－均值聚类算法在IRIS数据上进行聚类分析
(3)鉴别分析
在ORL或Yale标准人脸数据库上完成模式识别任务。
用PCA与基于核的PCA（KPCA）方法完成人脸图像的重构与识别试验。-(1) Bayes classification
Known N = 9, = 3, n = 2, C = 3, x = should ask which cat
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matlab编写，能够实现局部子空间鉴别分析，含主方法和测试代码，能直接运行-matlab prepared, can achieve local subspace discriminant analysis, including the main methods and test code that can be run directly
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分类工具包，含有多个分类算法的matlab源程序，适用于类别数据的分类和可视化-The Classification toolbox for MATLAB is a collection of MATLAB modules for calculating classification (supervised pattern recognition) multivariate models: Discriminant Analysis, Partial Least Square Discrimin
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该程序提供了基于支持向量的判别分析的matlab实现，可应用于模式分类-Discriminant Analysis via Support Vectors
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线性判别分析函数，可直接调用，内含函数详细说明-Linear discriminant analysis functions can be called directly, containing a detailed descr iption of the function
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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 me
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A probabilistic neural network (PNN) is a feedforward neural network, which was derived the Bayesian network and a statistical algorithm called Kernel Fisher discriminant analysis-A probabilistic neural network (PNN) is a feedforward neural network,
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模式分类之fisher线性判别分析,对已知数据进行分类处理。-fisher linear discriminant analysis of pattern classification, known data classification.
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KDA: Kernel Discriminant Analysis
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