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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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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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几种经典的降维工具的matlab程序。供想学习流形学习算法的朋友分享。-This is a dimension reduction toolbox developed by Laurens van der Maaten(MISS). You are free to use, modify, or redistribute this software in any way you want, but only for non-commercial purposes. This Matlab too
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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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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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模式识别作业-完全自编仿真程序。先用PCA对IRIS数据集进行降维，然后用最小错误法对降维的数据进行分类。压缩包中既包括matlab源代码，又有自己写的报告，还有.MAT格式的IRIS数据集用作程序调用。程序有详细注释，很容易懂。最后结果输出到txt文件中。-Pattern recognition operations- completely self simulation program. First on the IRIS data set with PCA dimension reduct
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KPCA主要在图像去噪声方面有应用。此外还可以进行特征提取，降维使用.-KPCA major noise in the image to have the application. You can also feature extraction using dimension reduction.
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pls降维、主成分、分析、特征提取等作用，有帮助的可以下载(PLS dimension reduction, principal components analysis, feature extraction, and so on, help is available for download)
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lpp降维，给了很多详细的例子的降维程序，并画出图像的2维表示(dimension reduction using lpp)
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降维算法llc 包括完整例子例子有训练测试等可用(Dimension reduction algorithm LLC, including a complete example)
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再用主成分分析方法进行信号噪声去除。文件中包含三个子函数：1.Normalize_InputData，规则化输入数据；2.PCA_Reduce_Dimension，实现数据降维处理；3.PCA_Filter_Noise，实现噪声去除(the principal component analysis method for signal noise removal. The file contains three sub-functions: 1.Normalize_InputData, regul
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lda降维方法源码，lda 方法有很牛逼的降维效果，对分类精度有很大的提升(lda dimension reduction method source code, lda method is very Niubi dimension reduction effect, classification accuracy has greatly improved)
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基于gabor变换和pca降维的人脸识别算法，具有较高的识别率(Face recognition algorithm based on Gabor transform and PCA dimension reduction, with high recognition rate)
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在MATLAB2014b版本，进行人脸识别，包含PCA降维、LDA线性判别、KNN最近邻算法等技术(In MATLAB2014b version, face recognition is carried out, including PCA dimension reduction, LDA linear discriminant analysis, KNN nearest neighbor algorithm and so on.)
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