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本程序包括各种模式识别的分类方法，包括k均值分类，C均值分类，基于svm支撑向量机的分类方法，以及基于Adboost的分类方法。-The program includes a variety of pattern recognition classification methods, including k means classification, C means classification, based on support vector machines svm classificati
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支持向量机SVM(Support Vector Machine)它在解决小样本、非线性及高维模式识别中表现出许多特有的优势，并能够推广应用到函数拟合等其他机器学习问题中-Support Vector Machine SVM (Support Vector Machine) it addresses the small sample, nonlinear and high dimensional pattern recognition performance of many unique adva
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关于傅立叶变换的SVM程序，适用于模式识别支持向量机分类-Fourier transform on the SVM procedure for pattern recognition Support Vector Machines
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模式识别基本方法matlab源代码，包括最小二乘法、SVM、神经网络、1_k近邻法、剪辑法、特征选择和特征变换-Basic method of pattern recognition matlab source code, including the least squares method, SVM, neural networks, 1_k neighbor method, the clip method, feature selection and feature transformati
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是一个模式识别工具包，里面包含bayes,linear分类函数，还有支持向量机SVM工具包-It is a pattern recognition toolbox, which contains the bayes, linear classification function, as well as support vector machines SVM toolbox
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通过Matlab，实现Gabor与SVM的结合，实现对大样本数据的车辆与非车辆的模式识别，样本可以自己准备，由于过大没有上传-By Matlab, the combination of Gabor and SVM, vehicles and vehicles of large sample data pattern recognition
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K近邻分类器，用于模式识别等领域，该程序短小精悍，适合与ANN和SVM进行比较研究，本人多篇论文用到，效果较好。-K-nearest neighbor classifier is often used in pattern recognition and other fields. It is suitful for a comparative study with ANN and SVM. I have published some papers used the code. The effe
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LIBSVM是台湾大学林智仁(Lin Chih-Jen)副教授等开发设计的一个简单、易于使用和快速有效的SVM模式识别与回归的软件包，他不但提供了编译好的可在Windows系列系统的执行文件，还提供了源代码，方便改进、修改以及在其它操作系统上应用；该软件对SVM所涉及的参数调节相对比较少，提供了很多的默认参数，利用这些默认参数可以解决很多问题；并提供了交互检验(Cross Validation)的功能。该软件包可在http://www.csie.ntu.edu.tw/~cjlin/免费获得。该软
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模式识别 MATLAB 的工具箱,比较实用,包括SVM,IICA,PCA,NN等等模式识别算法.，已通过测试。
-MATLAB toolbox of pattern recognition, more practical, including SVM, IICA, PCA, NN pattern recognition algorithms. Has been tested.
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利用SVM和PCA结合的方法进行的人脸识别实验，希望对于初学模式识别的人有所帮助-Face recognition experiments using SVM and PCA methods, hoping to be helpful for beginner pattern recognition
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svm（支持向量机）工具箱，用于svm预测，模式识别，故障诊断.-svm (support vector machine) toolbox for svm prediction, pattern recognition, fault diagnosis.
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机器学习和模式识别工具包spider。内容很丰富。包含svm 决策树（C45,J48）、svm、knn、adaboost、bagging、hmm（隐马尔科夫模型）、随机树（random forest）等-Machine learning and pattern recognition toolkit spider. Very rich in contents. Tree contains svm (C45, J48), svm, knn, adaboost, bagging, hmm (hidd
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一个牛人的神经网络支持向量机代码,对于搞模式识别的朋友强烈推荐!-A wonderful program of svm code coming from a superman,and strong recommendation to someone who learn about pattern-recognition .
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统计模式识别，包括PCA LDA SVM-Statistical pattern recognition, including the PCA LDA SVM
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支持向量机在解决小样本、非线性及高维模式识别中表现出许多特有的优势。-Support vector machine (SVM) in tackling small sample, nonlinear and high dimensional pattern recognition show many unique advantages.
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LIBSVM是台湾大学林智仁(Lin Chih-Jen)副教授等开发设计的一个简单、易于使用和快速有效的SVM模式识别与回归的软件包。-LIBSVM is a simple, easy to use and fast and efficient SVM pattern recognition and regression package Taiwan University Linzhiren (Lin Chih-Jen) and associate development and design.
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this paper has used two algorithms i.e local binary pattern and Log gabor filter for facial expression recognition.SVM and MDC are used as a classifier.Log gabor filter showed better performance than Local binary patter
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多种神经网络算法，包括等，可实现模式识别以及回归。-There are many algorithms in the zip,including svm, bp, crf,hmm.It can be used in the pattern recognition.
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支持向量机在模式识别中应用中不错的例子，并有详细的注释说明，适合入门。开发环境为matlab.-SVM pattern recognition applications, a good example, and there are detailed notes, for entry. Development environment for matlab.
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支持向量机SVM，有效小样本模式识别，程序有效含有例子，供大家参考-Support vector machine SVM, effective, small sample pattern recognition program example contains an effective, for your reference
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