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Parzen概率神经网络工具箱及代码实现分类,供学习应用者参考。-Parzen Probabilistic Neural network toolbox and code to achieve the classification for the study and application in Taiwan.
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用于自动选取阈值的功能,可以将一些数值按照一定的方法分类-Used to automatically select the threshold function can be some numerical method of classification according to certain
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libsvm工具箱,用于分类的绝佳工具,也可用于非线性回归及预测,或拟合,其中文本分类是其长项,回归性能非常好-libsvm toolbox, an excellent tool for the classification can also be used for non-linear regression and forecasting, or fitting, of which text categorization is its long entry and return to a ve
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algorithm for vehicle classification part2
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该工具箱主要介绍支持向量机的使用过程,包括分类与回归,里面的内容很全面,-The toolbox introduce the process of SVM,including classification and aggression,which is very well.
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模式分类工具包,内含大量的模式识别算法。可直接放于toolbox文件夹下,建立路径即可。-Pattern classification tool kit, containing a large number of pattern recognition algorithms. Can be put in the toolbox folder directly under the established path.
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spider,很好用的模式识别工具箱,里面有各种分类工具,从有监督学习到无监督学习,从模型选择到参数选择。而且也将各个方法封装成类,使用方便。-spider, good use of pattern recognition toolbox, there are various classification tools, from supervised learning to unsupervised learning, choose Preferences from the model. But
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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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支持向量机的研究现已成为机器学习领域中的研究热点,其理论基础是Vapnik[3]等提出的统计学习理论。统计学习理论采用结构风险最小化准则,在最小化样本点误差的同时,缩小模型泛化误差的上界,即最小化模型的结构风险,从而提高了模型的泛化能力,这一优点在小样本学习中更为突出。SVM理论正是在这一基础上发展而来的,经过十几年的研究和发展,已开始逐步应用于一些领域。在解决小样本、非线性及高维模式识别问题中表现出许多特有的优势,已经在模式识别、函数逼近和概率密度估计等方面取得了良好的效果。- Support
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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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支持向量机matlab工具箱(含资料及gui模式)用于分类和回归预测-SVM matlab toolbox (including information and gui mode) for classification and regression
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Classification MatLab Toolbox
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Classification MatLab Toolbox
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matlab的模式分类工具箱,包含大量模式识别的经典算法。-The matlab pattern classification toolbox contains a large number of classic pattern recognition algorithms.
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Online SVR工具箱,实现对数据的在线回归和分类。-Online SVR toolbox to achieve the online data regression and classification.
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利用matlab软件BP网络工具箱,画出预测语音种类和实际语音种类的分类图-BP neural network using matlab software toolbox, paint and forecast the actual voice voice types and species classification map
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介绍一个稳健性分析工具箱。主要做稳健性主成分、主成分回归、分类。-Our toolbox currently contains implementations of robust
methods for location and scale estimation, covariance estimation (FAST-MCD), regression (FAST-LTS, MCD-regression), principal
component analysis (RAPCA, ROB
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支持向量机(SVM)的matlab工具箱。支持分类和回归。-Support Vector Machine (SVM) matlab toolbox. Support classification and regression.
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各种分类算法都包括在里面,有SVAR,ADMM等,在运用时,只需要调用就可以了。-Various classification algorithms are included in the inside, there SVAR, ADMM, etc., in the use, you only need to call on it.
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分类与回归。Matlab的工具箱是围绕一个快速LS-SVM训练和模拟算法。该相应的功能调用可以用于分类以及为函数估计。该功能plotlssvm显示模型的模拟结果,在训练的区域点。-The Matlab toolbox is built around a fast LS-SVM training and simulation algorithm. The
corresponding function calls can be used for classification as well as
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