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Description: PCA and PLS aims:to get some
insight into the bilinear factor models Principal Component Analysis
(PCA) and Partial Least Squares (PLS) regression, focusing on the
mathematics and numerical aspects rather than how s and why s of
data analysis practice. For the latter part it is assumed (but not
absolutely necessary) that the reader is already familiar with these
methods. It also assumes you have had some preliminary experience
with linear/matrix algebra.
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Author: 郭大 |
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Description: 是自己编写的一个程序，用于人脸识别。希望对大家有作用。-Is I have written a procedure for face recognition. Wish to have the role of U.S..
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Author: witty |
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Description: matlab PCA应用于TE数据进行检测
包括SPE统计量计算，以及SPE和T方控制限的计算。-matlab PCA applies to TE detection data including SPE statistic calculation, as well as the SPE and T control limit calculations.
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Size: 2048 |
Author: 小珍 |
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Description: 用mushrooms数据对模式识别课程讲述的各种模式分类方法[线性分类，Bayesian分类，Parzen窗，KNN]和特征选择和降维方法[PCA,LDA]进行了模拟，并给出了各类分类方法的结果，-It s the simulations about linear classification ,Bayesian ,Parzen and KNN of pattern recognition .And ,It gives the results.
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Size: 24576 |
Author: yuanna |
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Description: 文档中包括两个文件：分别是pca人脸识别分析以及fisher人脸识别分析。文中代码包括详细的注释，读者一旦下载很快就可以上手！代码中的相关理论可以参考Dota的《模式分类》一书！- The archive consists of two documents: PCA face recognition and Fisher face recognition analysis. Text codes include detailed notes, readers will soon be able to comprehend it, once started! The relataed theory can be referred to Dota s masterpiece:《pattern classification》!
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Size: 3072 |
Author: feixiaoxing |
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Description: 统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含：
1，Analysis of linear discriminant function
2，Feature extraction: Linear Discriminant Analysis
3，Probability distribution estimation and clustering
4，Support Vector and other Kernel Machines-
This section should give the reader a quick overview of the methods implemented in
STPRtool.
• Analysis of linear discriminant function: Perceptron algorithm and multiclass
modification. Kozinec’s algorithm. Fisher Linear Discriminant. A collection
of known algorithms solving the Generalized Anderson’s Task.
• Feature extraction: Linear Discriminant Analysis. Principal Component Analysis
(PCA). Kernel PCA. Greedy Kernel PCA. Generalized Discriminant Analysis.
• Probability distribution estimation and clustering: Gaussian Mixture
Models. Expectation-Maximization algorithm. Minimax probability estimation.
K-means clustering.
• Support Vector and other Kernel Machines: Sequential Minimal Optimizer
(SMO). Matlab Optimization toolbox based algorithms. Interface to the
SVMlight software. Decomposition approaches to train the Multi-class SVM classifiers.
Multi-class BSVM formulation trained by Kozinec’s algorithm, Mitchell-
Demyanov-Molozenov algorithm
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Author: 查日东 |
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Description: PCA主元分析后用神经网络预测，A/S含量，PCA算法实现，与神经网络-PCA principal component analysis using neural network prediction, A/S content, PCA algorithm, and neural network
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Size: 1024 |
Author: 刘敏 |
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Description:
在特征提取阶段，研究了PCA, 2DPCA, (2D) 2PCA, DiagPCA, DiagPCA-F-2DPCA等多
种方法。不同于基于图象向量的PCA特征提取，由于2DPCA, (2D) ZPCA, DiagPCA和
DiagPCA-I-2DPCA的特征提取都直接基于图象矩阵，计算量小，所以特征的提取速度明
显高于PCA方法。-In the feature extraction stage, the study of the PCA, 2DPCA, (2D) 2PCA, DiagPCA, DiagPCA-F-2DPCA and other methods. Vector is different from the PCA-based image feature extraction, as 2DPCA, (2D) ZPCA, DiagPCA and DiagPCA-I-2DPCA the feature extraction are directly based on image matrix, a small amount of calculation, so the speed of feature extraction method was significantly higher than PCA .
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Size: 45056 |
Author: 付采 |
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Description: 用matlab编写的pca算法，非常适合大家做project用-it s a pca algorithm
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Size: 33792 |
Author: 韩兴凯 |
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Description: PCA的简单小程序，对图像做去相关和降维-the simple program of PCA，used to a picture s decorrelation and dimensionality reduction
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Size: 3072 |
Author: huihui |
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Description: 一款很好的matlab程序，具有MDS\PCA\ISO\MAP\LLE\HESSIANLLE\LAPLACANDIFFUSIONMAP\LTSA的图像分析功能 -Matlab a very good program, with MDS \ PCA \ ISO \ MAP \ LLE \ HESSIANLLE \ LAPLACANDIFFUSIONMAP \ LTSA' s image analysis capabilities
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Size: 14336 |
Author: 江责义 |
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Description: 基于matlab2008的人脸识别系统，使用了PCA
+Adaboost与PCA+SVM分别实现了人脸识别，使用了orl人脸库，给一个人的图片就可以识别此人身份，识别率高达84 -Matlab2008 face recognition system based on use of the PCA
+ Adaboost achieved with the PCA+ SVM face recognition, respectively, using the orl face database, to a person s picture on the identity of this person can be identified, the recognition rate as high as 84
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Author: 周天 |
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Description: 传统的pca人脸识别中的matlab算法，人脸前期处理，希望对大家有用- I was born in Liaoning.Liaoning is a beautiful place.There are many places of interest in Liaoning.I was born on September,26th.I am a girl.I like traveling,reading and English.Speaking English is very important.It s very useful for us.We should do our best to learn English.I like making friends,too.I want to make more and more friends.Let s be friends.When I am free,I usually read books.Much of my life has lived with books.My favorite book is《Harry Potter》.Harry Potter is a brave,clever boy.I like him very much.Books are very interesting.I have great fun in reading books.
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Author: zhongbang |
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Description: PCA 主成分分析 程序 采用主成分分析法（PCA），对大沽夹河流域水质进行了定量化综合评价。
-matlab PCA(Principal Component Analysis) programmer is deserved ,it s good to learn.The water quality in Dagujia River basin was assessed by using the PCA method
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Author: m |
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Description: 基于主成分分析的人脸画像合成，包含matlab源代码和香港中文大学的数据库-Based on principal component analysis for face portrait synthesis, including matlab source code and the Chinese University of Hong Kong' s database
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Size: 2226176 |
Author: 张铭津 |
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Description: Matlab PCA+SVM人脸识别,通过PCA和SVM算法达到人脸识别的功能。-Matlab PCA+SVM，To identify people s face.
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Size: 2989056 |
Author: 张曦 |
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Description: Fractal dimension calculation algorithm matlab code blankets, It draws on principal component analysis algorithm (PCA), This is the second energy entropy matlab code.
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Author: loupoufun
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Description: Including Deng's correlation, absolute correlation, correlation of slope, improved absolute correlation, Target can be extracted in a picture you want, Gabor wavelet transform and PCA face recognition code.
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Size: 45056 |
Author: gangtuilanman
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Description: pca和2dpca的MATLAB人脸识别。并且使用orl人脸数据库进行测试(PCA and 2DPCA's MATLAB face recognition. And use the ORL face database to test)
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Author: yangrongme6
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Description: 使用matlab自带的函数princomp()计算主成分，当维数很高时通常会出现内存耗尽的错误，即使内存足够也非常耗时。快速pca能加快计算进程且减小内存占用，更容易计算较大尺寸的图像主成分。(Use MATLAB's own function princomp () to calculate the principal component. When the dimension is very high, the memory exhaustion error usually occurs, even if the memory is enough, it is very time-consuming. Fast PCA can speed up the computation process and reduce memory footprint, making it easier to calculate the larger image principal components.)
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Size: 316416 |
Author: sdpscnc |
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