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Description: 用EM算法估计PCA参数，效果比传统的PCA要好，原文发表于神经计算杂志上，有兴趣者可以先看论文。-using EM algorithm parameters estimated PCA results than the traditional PCA better, in the language of neural computation published in the magazine, those who are interested can read papers.
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Size: 159744 |
Author: 武旗 |
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Description: 一个PCA用于人脸识别的程序，不知道有没有，先传了供大家参考下。 -a PCA for face recognition procedures, I do not know any first-of reference for everyone under.
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Size: 2048 |
Author: 杨帆 |
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Description: 主成分分析是把多个指标化为少数几个终合指标的一种统计分析方法。本源代码为matlab中源代码，并添加了相应的分析注解-Principal Component Analysis is more than a few indicators as a final indicator of a statistical analysis method. Source code for which the source code Matlab, and add the corresponding analysis notes
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Size: 4096 |
Author: 东 |
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Description: 本程序实现pca理论的算法，并用自定义坐标加以显示，而且采用两种数据输入方式-the program pca theory of algorithms, and self-definition of coordinates, and using two data input methods
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Size: 93184 |
Author: 张颖 |
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Description: 基于神经元网络和 Linear Auto-Associative memory 和pca的人脸识别程序。-based on neural network and Linear Auto-Associative memory pca and face recognition procedures.
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Size: 5120 |
Author: 王大宝 |
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Description: 这是目前最经典的matlab实现的kpca代码,代码量已经很精简,但相信还有高手能做出最简化的代码-This is the most classic of KPCA realize matlab code, the code volume is already very lean, but I think there was a master to make the most simplified code
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Size: 1024 |
Author: 二十八画生 |
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Description: 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
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Size: 2048 |
Author: sutao |
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Description: 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)
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Size: 4096 |
Author: xyl |
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Description: 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.
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Size: 32768 |
Author: 一心 |
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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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Size: 270336 |
Author: 郭大 |
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Description: 子空间分解matlab程序。采用PCA主成元分析方法。-Subspace Decomposition matlab procedures. Using PCA Principal Component Analysis.
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Size: 1024 |
Author: shiyu |
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Description: 一种增量的人脸识别算法——增量PCA学习算法（matlab实现）-A face recognition algorithm incremental- incremental PCA learning algorithm (matlab achieve)
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Size: 2048 |
Author: 陈静 |
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Description: 在MATLAB上所使用的PCA程序，主要應用於過濾相對較不重要的特徵值(dimension)，例如在三度空間的某些點具有(x,y,z)值，因為這些點有共同的一個持徵，就是z值相對於x,y值來得小很多(不明顯)，所以就以X,Y軸來表示這些點。此時就達成去除掉z的特徵值(dimension)。
-MATLAB used in the PCA procedure, mainly used in filtering relatively unimportant eigenvalue (dimension), for example, in some points with three-dimensional (x, y, z) values, because these points have a common one sign holders, that is, z values compared with the x, y values much smaller than (not obvious), so on to X, Y axis to express these points. Reached at this time to get rid of z eigenvalues (dimension).
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Size: 3072 |
Author: iceryu01 |
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Description: 人脸识别：pca特征提取后，用神经网络进行分类-Face Recognition: pca after feature extraction using neural networks to classify
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Size: 1024 |
Author: scb |
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Description: 一个基于matlab语言的编程，可以实现对人脸的识别算法-A matlab-based programming language can be achieved on the human face recognition algorithm
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Size: 690176 |
Author: 清风怡人 |
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Description: 这里面的代码是2DPCA的。这篇文章发表在PAMI上,Two-Dimensional PCA:
A New Approach to Appearance-Based
Face Representation and Recognition.google搜索已经引用681次。这里的代码是原作者的。这个分类不太好，语音识别是最近的，这是模式识别里的经典算法。-matlab code of 2DPCA
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Size: 2048 |
Author: Gu Zhenghong |
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Description: Kernel principal component analysis (kernel PCA) [1] is an extension of principal component analysis (PCA) using techniques of kernel methods. Using a kernel, the originally linear operations of PCA are done in a reproducing kernel Hilbert space with a non-linear mapping.
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Size: 2048 |
Author: Karthikeyan |
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Description: PCA-SIFT算法的实现，PCA-SIFT是对SIFT算法的改进，用PCA替代SIFT算法中的第四步，提高了效率，且准确率更高-PCA-SIFT algorithm implementation, PCA-SIFT SIFT algorithm is an improved SIFT algorithm with PCA instead of the fourth step, improve efficiency, and higher accuracy
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Size: 690176 |
Author: jennyyu |
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Description: PLS and PCA algorithms tool
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Size: 125952 |
Author: Kechang Fu |
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Description: The number of states in GMM as the generative model of the frames is obtained using
k-means algorithm. This also helps to initialize the mean vector and the covariance
matrix of the individual state of the GMM. The training LPC frames collected from
three speech segments are subjected to PCA for dimensionality reduction and are
subjected to k-means algorithm. The total number of frames is equal to the total
number of vectors that are subjected to k-means clustering.
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Size: 728064 |
Author: Khan17
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