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一个模式分类的工具箱,matlab语言实现,对模式识别相关方向的人很有用-pattern classification of a toolbox, Matlab language, pattern recognition related to the direction of useful
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这是一些关于模式识别工具箱的源代码,和模式识别第二版配套使用,有很强的运用价值。,These are some original Matlab codes on pattern classification:pattern calssification toolbox
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纹理模式的LBP特征表示及分类原理:就是通过定义一个模板,对于原图像中的每个点,使用该模板进行操作,模板中心点近邻区域对应的图像象素值与中心位置对应的象素值进行比较,且对于不同位置的比较结果赋予不同的权值,从而,变换图像中对应点的值就由模板对应各位置的比较结果之权和表示。-LBP texture pattern feature representation and classification theory: that by defining a template for the origina
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这是一个模式识别中的parzen窗的一个简单仿真分类实例,其中female.txt和male.txt是训练样本,test.txt是测试样本,分类效果非常好,对于模式学习的初学者将会有很大帮助。-This is a pattern recognition in a simple window parzen Category simulation examples, one of female.txt and male.txt training samples, test.txt is the me
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实现纹理模式的LBP特征表示及分类。
实现一种基于局部二值模式LBP(Local Binary Pattern)的多分辨率灰度尺度及旋转不变性的纹理分类方法-LBP texture model to achieve that as well as the breakdown characteristics. The realization of a model based on local binary LBP (Local Binary Pattern) Multiresolution g
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KNN是一种有效的模式识别分类算法,本文件在Matlab平台实现KNN算法在模式识别中的运用。-KNN is an effective pattern recognition classification algorithms, this document is in the Matlab platform implementation KNN algorithm in the application of pattern recognition.
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Feature Selection using Matlab.
The DEMO includes 5 feature selection algorithms:
• Sequential Forward Selection (SFS)
• Sequential Floating Forward Selection (SFFS)
• Sequential Backward Selection (SBS)
• Se
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一种常用的分类器,常用于人脸识别、掌纹识别等模式识别领域。
-A common classification, commonly used in face recognition, palmprint recognition, pattern recognition.
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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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统计模式识别算法包,包括线性分类算法,SVM,PCA,LDA,EM,k-means分类等多种常用的模式识别算法。-Statistical pattern recognition algorithm package, including a linear classification algorithm, SVM, PCA, LDA, EM, k-means classification and many other commonly used pattern recognition algori
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matlab环境下的模式识别分类例程。高维样本投影到低维空间进行分类识别。-matlab environment classification pattern recognition routines. High-dimensional samples are projected onto low-dimensional space for classification and identification.
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最新的模式识别分类工具箱,希望对朋友们有用!-The latest classification pattern recognition toolbox, in the hope that useful friends!
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一个强大的统计模式识别工具箱,包含高斯分类器,高斯混合模型,主成分分析,支持向量机等常见分类方法。-A powerful statistical pattern recognition toolbox, including the Gaussian classifier, Gaussian mixture model, principal component analysis, support vector machines and other common classification met
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SVM,很好用的用于模式识别中特征分类的咚咚。-SVM, a good use for pattern recognition features of the classification of咚咚.
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模式识别分类方法中的最近邻准则方法。内有详细说明文档。-Pattern recognition classification criteria of the nearest neighbor method. There are detailed descr iption of the document.
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贝叶斯分类实验,设计简单的线性分类器,了解模式识别的基本方法。掌握利用贝叶斯公式进行设计分类器的方法。-Bayesian classification experiment is designed to be simple linear classifier, know the basic methods of pattern recognition. Master the use of Bayesian classifier design formula method.
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基于matlab的BP神经网络算法,可用于模式分类-Matlab-based algorithm of BP neural network can be used for pattern classification
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这是一个利用MATLAB利用PCA实现的简单分类程序,对于模式识别的初学者学习PCA知识并进行仿真会有很大帮助,其中male.txt和female.txt是训练样本,test.txt是测试样本,分类效果非常好。-This is a use of MATLAB to use a simple classification of the PCA implementation process, the PCA pattern recognition study for beginners and si
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这是模式分类一书中第五章中的基本感知算法的matlab代码。很有价值!-This is the pattern classification in chapter V of the book' s basic perception algorithm matlab code. Great value!
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这是模式分类一书中第五章的固定增量感知器和带裕量的变增量感知器的matlab代码实现。-This is the pattern classification of a book chapter V and the fixed-increment perceptron with margin perceptron incremental change of the matlab code.
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