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模式识别matlab工具箱,包括SVM,ICA,PCA,NN等等模式识别算法,很有参考价值-pattern recognition Matlab toolbox, including SVM, ICA, PCA, NN pattern recognition algorithms, and so on, of great reference value
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统计模式识别工具箱(Statistical Pattern Recognition Toolbox)包含:
1,Analysis of linear discriminant function
2,Feature extraction: Linear Discriminant Analysis
3,Probability distribution estimation and clustering
4,Support Vector and other Kernel Machines,
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模式识别 MATLAB 的工具箱,比较实用,包括SVM,ICA,PCA,NN等等模式识别算法.,Pattern Recognition Toolbox for MATLAB, more practical, including the SVM, ICA, PCA, NN pattern recognition algorithm and so on.
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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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捷克理工大学Hlavac教授和Franc博士提供的统计模式识别Matlab工具箱的最新版本V2.09,在原有版本基础上进行了一些修改和完善。它包括现有模式识别的大部分方法,比如SVM,PCA,LDA等。我采用其中的SVM方法进行了人体下肢假肢SEMG信号的分类,效果不错。希望能对大家有帮助。-Statistical Pattern Recognition Toolbox for Matlab (C) 1999-2008, Version 2.09. It includs a number of
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PLS_Toolbox是用于故障检测与诊断方面的matlab工具箱,包括PCA、PLS等多种算法,以及包括后续的处理工作:Q统计、T2统计等等。-PLS_Toolbox for fault detection and diagnosis of matlab toolbox, including PCA, PLS and many other algorithms, as well as follow-up treatment, including the work of: Q statistic
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人脸识别工具箱,包含了PCA,LDA两中方法-Face Recognition toolbox contains PCA, LDA in the two methods
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这是一个MATLAB工具箱包括32个降维程序,主要包括 pca,lda,MDS等十几个程序包,对于图像处理非常具有参考价值- ,This Matlab toolbox implements 32 techniques for dimensionality reduction. These techniques are all available through the COMPUTE_MAPPING function or trhough the GUI. The following techn
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matlab图像处理工具相,使用了主成分分析,ANN,SVM等方法。-This toolBox used in the image processing(feature extraction and classification)
PCA,LDA,ICA,DCT,RBF,RBE,GRNN,KNN,minimum distance,SVM, and others
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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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介绍了一种荃于MATLAB数字信号处理工具箱、MATLAB数据分析和MATLAB圈形对
象的时变数字信号瞬时频率枯计方法。这种方法利用时频分析结果来估计信号的麟时频率,其
中涉及时频分析、滤波、曲线拟合辞多种处理过程。处理过程的编程实现封较于用户界面上作
为文互工具的控件中,由用户通过交互界面逐步完成估计瞬时预率的工作.-Tsuen introduced a digital signal processing in the MATLAB toolbox, MATLAB and MAT
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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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本程序是先用gabor小波变换对人脸图像处理,然后在用pca进行降维,最后用svm分类器进行多分类分类识别,包扩完整的orl人脸库,需注意的是,svm工具箱是用的libsvm工具箱,运行前先配置好libsvm。版本号:libsvm-mat-2[1].89-3[FarutoUltimate3.0]-This procedure is to use the human face gabor wavelet transform image processing, and then to reduce
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没有使用matlab自带工具包,而是使用了自写的PCA,来用其对数据进行线性分类。-without using the toolbox given by matlab,i write pca myself and implement it into LDA classification.
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模式分类工具箱,有PCA、SVM、ID3源代码,用于数据分析、模式识别和机器视觉。-Pattern classification toolbox, there PCA, SVM, ID3 source code for data analysis, pattern recognition and machine vision.
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部分实现了追踪测速迭代松弛算法,losBGAF参数是学习PCA特征提取的很好的学习资料,具有丰富的参数选项,车牌识别定位程序的部分功能,cWuPhFE条件matlab开发工具箱中的支持向量机,DC-DC部分采用定功率单环控制。- Partially achieved tracking speed iterative relaxation algorithm, losBGAF parameter Is a good learning materials to learn PCA feature
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BP神经网络用于函数拟合与模式识别,iXQQRPQ参数是学习PCA特征提取的很好的学习资料,是小学期课程设计的题目,结合PCA的尺度不变特征变换(SIFT)算法,KDMFTBs条件matlab开发工具箱中的支持向量机,采用了小波去噪的思想。- BP neural network function fitting and pattern recognition, iXQQRPQ parameter Is a good learning materials to learn PCA feature
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多元数据分析的主分量分析投影,进行逐步线性回归,对于初学matlab的同学会有帮助,是学习PCA特征提取的很好的学习资料,三相光伏逆变并网的仿真,matlab开发工具箱中的支持向量机。-Principal component analysis of multivariate data analysis projection, Stepwise linear regression, Matlab for beginner students will help, Is a good learning
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包含CV、CA、Single、当前、恒转弯速率、转弯模型,是学习PCA特征提取的很好的学习资料,matlab开发工具箱中的支持向量机,计算加权加速度,一种噪声辅助数据分析方法,用MATLAB实现的压缩传感。- It contains CV, CA, Single, current, constant turn rate, turning model, Is a good learning materials to learn PCA feature extraction, matlab deve
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压缩文件夹中主要包含用于非线性主成分分析的程序(Nonlinear PCA toolbox for MATLAB)
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