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PCA人脸识别程序。运用主成分分析法对人脸进行识别是一种主要的方法。-PCA face recognition program. The use of principal component analysis of the human face recognition is a major way.
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主成分分析算法实例子,采用Karhunen-Loeve 算法设计-Instances of sub-principal component analysis algorithm, algorithm design using Karhunen-Loeve
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本篇文章提供了一些对于主成分分析法matlab源码分析解释,简单,中文解释。-This article provides some of the principal component analysis for matlab source code analysis and interpretation, simple Chinese explanation.
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对称矩阵相关元算,主成分分析(PCA), fisher
discriminant analysis(FDA).,-Introduction
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This is a class for symmetric matrix related computations. It can be used for
symmetric matrix diagonalization and inversion. If given the covariance matrix,
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PCA (Principal component analysis) is used to redraw dimension of data
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主成分分析法实现特征选择,里面有非常详细的算法介绍,还有一个现实实例介绍,非常具象,里面贴有实现算法的matlab代码-Principal component analysis (PCA)to achieve feature selection , which has a very detailed descr iption of algorithms , there is a real example to illustrate , very concrete , which is affix
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主成分分析最经典的入门文档,还有前序知识的文档——协方差矩阵,以及实现代码。-The principal component analysis the most classic of introductory document, and knowledge of the preface to the documentation-covariance matrix, and realize the code.
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论文使用一种经典的特征提取方法—主成分分析法(PCA)进行特征提取,其基本思想是降维。降维后的数据除了计算工作量减少之外不会减少原始数据所包含的有效信息量。-This paper use a classical method for feature extraction—Principal Component Analysis(PCA)with the basic idea of dimensionality reduction(it still contains all valid infor
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PCA in two demension in matlab , Principal component analysis
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Dimension reduction using principal component analysis.
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用于人脸识别,主要在证件照片中。主要思想是主成分分析(PCA)的方法,这是一个较为通用的方式。-For face recognition, mainly in the ID photo. The main idea is the principal component analysis (PCA) method.This is a more generic way.
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PCA主成分分析方法来处理手势向量,来获得手势的特征向量,即主要成分-PCA principal component analysis method
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主分量分析方法,用一组维数为数不多的特征尽可能精确地表示样本的特征,通常采用训练样本总体协方差矩阵的特征向量系作为展开基(即K-L坐标轴)-Principal component analysis, said the characteristics of the samples as accurately as possible using one of the few characteristics of a group of dimension, usually the overall tr
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这是个改进的PCA主元分析程序 可以实现数据降维和压缩-This is a PCA improved principal component analysis program can reduce the dimensionality of data compression
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Teaching about pca - principal component analysis. you can learn how pca work and what eigenfaces is?
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Matlab实现主成分分析的一种方法,希望对初学者有帮助-Matlab as a principal component analysis method, for beginners
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pca(主成分分析)matlab实现,可以有效的提取数据的主元成分,降低数据矩阵的维数。-pca (Principal Component Analysis) Matlab implementation, can effectively extract data in the main ingredients, reduce the dimension of the data matrix.
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The Principal Component Analysis (PCA) is one of the most successful techniques that have
been used in image recognition and compression. PCA is a statistical method under the broad
title of factor analysis. The purpose of PCA is to reduce the la
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Principal component analysis .m file
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主成份分析(PCA)实现的一段源程序,比较容易懂-The principal component analysis (PCA) among of the realization of the program is easy to understand
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