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PCA主元分析法进行特征提取,再进行人脸识别-PCA principal component analysis method for feature extraction, and then carried out face recognition
Update : 2024-05-07 Size : 2048 Publisher : chenxi

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小弟撰寫的類神經pca對圖片的壓縮與解壓縮,對來源圖片training過後,可使用該張圖像的特性(eigenvalue和eigenvetex)來對別張圖解壓縮,非常有趣的方式,再設定threashold時注意時值不要過大,因為這牽涉inverse matrex的計算.-Boy wrote on Neural PCA image compression and decompression of the source image after training, can make use of the characteristics of images (eigenvalue and eigenvetex) to other copies of illustrated compression, a very interesting way, and then set when threashold attention values not too large, because it involves the calculation of inverse matrex.
Update : 2024-05-07 Size : 430080 Publisher : 楊於

SCMPCA
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c8051f020 pca 的简单应用程序-c8051f020 pca simple application
Update : 2024-05-07 Size : 376832 Publisher : yangyanhong

Otherpca
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PCA算法的程序,能完成非高斯信号的预处理-PCA algorithm procedure to complete the non-Gaussian signal preprocessing
Update : 2024-05-07 Size : 1024 Publisher : 余洁

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PCA matlab程序,提供和大学交流学习。仅供学习研究,严禁商用。-PCA matlab program to provide the exchange of learning and universities. Study and research purposes only, and strictly prohibit commercial.
Update : 2024-05-07 Size : 2048 Publisher : 罗亮

OtherPCA
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matlab实现PCA进行的人脸识别源程序,基本的功能实现,做为基础-matlab realize PCA for face recognition source code, the basic function of the realization, as a basis for
Update : 2024-05-07 Size : 2048 Publisher : sutao

Otherpca
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matlab实现PCA进行的人脸识别源程序,基本的功能实现,做为基础-matlab realize PCA for face recognition source code, the basic function of the realization, as a basis for
Update : 2024-05-07 Size : 158720 Publisher : sutao

matlabpca
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关于matlab主元分析的一个简单的实例,可供初学者参考学习。-Matlab PCA on a simple example of reference for beginners to learn.
Update : 2024-05-07 Size : 3072 Publisher : 刘明

OtherPCA
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介绍主成分分析的电子书籍,个人认为比较好-PCA introduce e-books, personal think is better
Update : 2024-05-07 Size : 92160 Publisher : 胡兵

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用PCA做的人脸识别,matlab实现其功能-Face Recognition Using PCA to do, matlab realize its function
Update : 2024-05-07 Size : 1024 Publisher : 李晋博

k-l和PCA算法在人脸识别中的具体实现(MATLAB)-kl and PCA Face Recognition Algorithm in the concrete realization of (MATLAB)
Update : 2024-05-07 Size : 4096 Publisher : xyl

Otherpca
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pCA的ppt报告,PCA理论,该理论可用于降维处理,将高维数据变化 为低维数据。-ppt Report of the PCA, PCA theory, the theory can be used to deal with dimensionality reduction, high dimensional data will change for the low-dimensional data.
Update : 2024-05-07 Size : 2759680 Publisher : 郭继东

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pca算法的源代码。在做人工智能与模式识别的朋友必须的。用于降维。-PCA algorithm source code. Artificial Intelligence and Pattern Recognition doing friends necessary. For dimensionality reduction.
Update : 2024-05-07 Size : 32768 Publisher : 一心

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这是一个用matlab实现的人脸识别的pca方法,正确识别率不错。-err
Update : 2024-05-07 Size : 1024 Publisher : liuhua

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采用两种方法计算PCA的程序:SVD和计算Covariance。程序包括VC++代码和Matlab代码。-PCA method uses two types of procedures: SVD and calculate Covariance. Procedures including VC++ Code and Matlab code.
Update : 2024-05-07 Size : 22528 Publisher : myb

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基于matlab的PCA人脸识别完成程序,包含特征值与特征向量的提取、训练样本以及最后的识别检验。-err
Update : 2024-05-07 Size : 1024 Publisher : 王明

matlabPCA
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PCA算法Matlab实例,有详细的中文注释-PCA algorithm Matlab examples detailed Chinese Notes
Update : 2024-05-07 Size : 1024 Publisher : 王一

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文件详细说明了pca算法程序的设计步骤,并对每一步骤有代码说明-Document details the procedures for the design of PCA algorithm steps, and each step has the code description
Update : 2024-05-07 Size : 5120 Publisher : 海礁

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PCA算法程序设计步骤: 1、去均值 2、计算协方差矩阵及其特征值和特征向量 3、计算协方差矩阵的特征值大于阈值的个数 4、降序排列特征值 5、去掉较小的特征值 6、去掉较大的特征值(一般没有这一步) 7、合并选择的特征值 8、选择相应的特征值和特征向量 9、计算白化矩阵 10、提取主分量 -PCA algorithm programming steps: 1 to mean 2, calculation of covariance matrix and its eigenvalues and eigenvectors 3, the calculation of covariance matrix eigenvalues greater than the threshold number of 4, in descending order of eigenvalue 5, remove the smaller eigenvalue 6, remove the larger eigenvalue (usually not this step) 7, the combined choice of eigenvalues 8, select the appropriate eigenvalues and eigenvectors 9, computing whitening matrix 10, principal component extraction
Update : 2024-05-07 Size : 4096 Publisher :

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PCA算法,用于人脸识别的特征提取步骤,是目前最通用的传统的人脸识别算法。通过构建特征子空间进行降维-PCA algorithm for face recognition feature extraction step is currently the most common in traditional face recognition algorithms. By constructing feature subset space dimensionality reduction
Update : 2024-05-07 Size : 1024 Publisher : Jessie
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