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利用Matlab编程实现主成分分析,从数学角度来看，这是一种降维处理技术-Using Matlab programming principal component analysis, from a mathematical point of view, this is a dimension reduction process technology
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Matlab LDA降维经典程序
外国人Jonathan Huang写的LDA matlab程序，用于多维特征的降维
-Matlab LDA dimension reduction procedures foreigners Jonathan Huang classic written LDA matlab program for multi-dimensional characteristics of the dimension reduction
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PCA+LDA经典人脸识别算法，先用PCA降维，再用LCA降维-PCA+ LDA classical face recognition algorithms, first PCA dimension reduction, reuse LCA dimension reduction
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该工具箱中包含了多种降维算法。其中有传统的PCA和Local PCA算法，也有典型的流形学习算法，如Isomap、LLE、HLLE、Laplacian Eigenmaps 和 Local Tangent Space 。-The toolbox contains a variety of dimensionality reduction algorithms. In which the traditional PCA and Local PCA algorithms, there are the
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普通降维方法汇总，PCA，LDA,isomap-Summary of general dimension reduction methods, PCA, LDA, isomap .......
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基于邻域嵌入式的降维 充分利用matlab矩阵的功能 程序简捷-Neighborhood-based embedded full advantage of dimension reduction procedures for simple matlab function matrix
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This toolbox is an educational and recreative toolbox around recent ideas in the field of dimension reduction.
* PCA : classical Principal Componnent Analysis (linear projection).
* Nonlinear dimensionality reduction by locally linear embedding
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2DPCA新的降维方法,是PCA的改进,新,很值得一看 -2DPCA a new dimension reduction method is PCA improvements, the new, it is worth a visit
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lPP 用于数据降维 很好用 希望能派上用场-LPP be use to dimension reduction
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核主元分析程序，本人毕业设计程序，用于降维，监测Te过程故障，误诊断率低。-KPCA program, I graduated from the design process for dimension reduction, monitoring Te process failure, error diagnosis rate is low.
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MATLAB源程序，主成分分析法（PCA），这是一种降维的方法，可以用于多通道数字信号处理-MATLAB source code, principal component analysis (PCA), which is a dimension reduction method can be used for multi-channel digital signal processing
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这是MATLAB学习LSDA降维方法的核心程序，将降维后的特征用支持向量机进行训练和识别！-This is a MATLAB dimension reduction methods to study the core of LSDA process will feature after dimension reduction using support vector machine training and recognition!
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降维状态观测器是非常重基于T变换的降维观测器设计方法。要的一类观测器-Reduced-order state observer is very important dimension reduction based on T transform observer design method. To a class of observer
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基于焊接图片的pca降维，knn分类算法。-Pca-based solder image dimension reduction, knn classification algorithm.
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This file implement lpp algorithm for dimension reduction and clustering techniques.
Dimension reduction, Clustering.
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提出了一种新的基于图像分块重构和线性判别分析相融合的方法，主要用于人脸识别。该方法通过计算两幅图像之间图
像块的重构均值误差，运用线性判别分析求出两幅图像降维后的欧式距离，融合重构误差和欧式距离计算这两幅图像之间的差别
程度。-A new block-based image reconstruction and the integration of linear discriminant analysis method is mainly used for face recognitio
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PCA+LDA人脸识别，识别率高于单独PCA或LDA算法。需要matlab dimension reducation toolbox。-Face verification using PCA and LDA fusion. Better performance than single PCA or LDA algorithm. The image database is included. Matlab dimension reduction toolbox is requrired.
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1.GeometricContext文件是完成图片中几何方向目标分类。
参考文献《Automatic Photo Pop-up》Hoiem 2005
2 GrabCut文件是完成图像中目标交互式分割
参考文献《“GrabCut” — Interactive Foreground Extraction using Iterated Graph Cuts》
C. Rother 2004
3 HOG文件是自己编写的根据HOG特征检测行人的matlab代码
4 虹膜识别程序
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pca特征向量提取 利用pca的方法获取特征植及特征向量 最后可以自己根据需要降维-pca pca feature vector extraction method using characteristics of plants and to obtain the final feature vector dimension reduction can be their own as needed
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pca lda kpca klda lpp matlab 特征降为方法，对于新手比较有用。-pca lda kpca klda lpp matlab code for dimension reduction. these are very useful for new researchers.
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