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Description: 主成分分析（PCA)算法是用于简化数据的一种技术,对于某些复杂数据就可应用主成分分析法对其进行简化。-principal component analysis (PCA) algorithm is used to simplify the technology of data, For some complex data can be applied Principal Component Analysis streamline its.
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Size: 3072 |
Author: 赵俊义 |
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Description: pca主成分分析算法matlab源码，利用matlab实现pca算法。-pca principal component analysis algorithm Matlab source, using Matlab achieve pca algorithm.
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Size: 33792 |
Author: 李辙 |
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Description: 结合PCA的尺度不变特征变换(SIFT)算法源代码，可用于图像目标检测和识别。-combine PCA scale-invariant feature transformation (metabolism) algorithm source code, images can be used to target detection and identification.
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Size: 684032 |
Author: 王为 |
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Description: pca sift，比SIFT速度快，匹配精度高，-pca sift, faster than the sciences, matching high precision,
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Size: 683008 |
Author: sun shu |
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Description: 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
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Size: 2048 |
Author: chenxi |
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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: 158720 |
Author: sutao |
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Description: 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.
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Size: 3072 |
Author: 刘明 |
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Description: 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.
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Size: 2759680 |
Author: 郭继东 |
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Description: PCA算法Matlab实例，有详细的中文注释-PCA algorithm Matlab examples detailed Chinese Notes
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Size: 1024 |
Author: 王一 |
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Description: 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
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Size: 4096 |
Author: 琴 |
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Description: 这是有关ＰＣＡ算法的论文，是从万方数据库下载的。-This is the thesis PCA algorithm is downloaded from the万方database.
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Size: 522240 |
Author: 洪波 |
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Description: PCA-SIFT实现图像的不变性特征提取,利用主元分析提取SIFT特征,提高了效率.-PCA-SIFT invariant image feature extraction, using principal component analysis extracted SIFT features, improved efficiency.
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Size: 680960 |
Author: 路香群 |
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Description: 共享主成份尺度不变变换PCA-SIFT代码，用于SAR图像配准，希望对各位雷达爱好者和SAR工作者有用！-Principle component analysis, PCA- Scale invariant feature transform-SIFT used for SAR processing.
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Size: 681984 |
Author: 北京 |
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Description: 原作者的pca-sift程序，对Lowe的sift做了一定改进。-The original author of the pca-sift procedures, Lowe' s sift made certain improvements.
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Size: 688128 |
Author: GY |
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Description: sift code,希望对大家有用-sift code............................
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Size: 514048 |
Author: wbj |
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Description: pca-sift算法的实现，采用vc2008开发环境，进行开发，独立运行-pca-sift algorithm, using vc2008 development environment to develop, operate independently
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Size: 1269760 |
Author: jason li |
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Description: Using C + + language of the PCA-SIFT algorithm, can be used for visual odometer feature extraction and matching results with good match
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Size: 61440 |
Author: jason li |
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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: 一些有关SIFT衍生算法的资料，包括ASIFT, CSIFT, PCA-SIFT, SURF算法，中英文都有，很有价值-Some of the SIFT algorithm is derived, including ASIFT, CSIFT, PCA-SIFT, SURF algorithm, in each category, great value
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Size: 31945728 |
Author: 王雪瑶 |
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Description: PCA-SIFT在Unix/Linux下的实现-PCA-SIFT in the Unix/Linux implementation under
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Size: 4121600 |
Author: ToT |
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