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c4.5分类器 支持向量机算法 文本分类 样本支持 核函数算法-c4.5 classifier SVM text classification algorithm sample support kernel function
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支持向量机在样本分类中的另一个例子，适合入门级别，带有详细的注释。开发环境为MATLAB。-Another example of SVM classification in the sample, suitable for entry-level, with detailed notes. Development environment for MATLAB.
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基于SVM的数据分类预测——意大利葡萄酒种类识别-Data classification based on SVM prediction- Italian wine species identification
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图像场景分类的bow模型opencv源代码，采用k-means聚类构造单词，采用支持向量机的svm分类器。-Image scene classification bow model opencv source code, using k-means clustering structure of words, using support vector machine svm classifier.
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This work investigates the practical application of
support vector machine (SVM) to power transformer condition
assessment. Partiuclarly, this paper proposes to integrate the
SVM algorithm with two heuristic optimization algorithms which
are
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使用支持向量机对数据进行非线性分类，通过修改核函数径向基函数的参数来做模型-Using support vector machine (SVM) to nonlinear classification of data, by modifying the parameter of kernel function of radial basis function model
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线性SVM分类代码，线性分类快速准确，如果数据量大则需要内存较大-Linear SVM classification code, linear classification quickly and accurately, if a large amount of data you need to memory
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算法提出了
一个新的部位观测模型和一种新的减小部位状态空间的方法：（1）对人体不同部位采用不同尺寸的细胞单元计算HOG特
征，并利用线性SVM进行分类，从而提出一种新的部位观测模型；（2）利用人体部位定位的先验分布确定部位定位区域，然
后通过邻域归并和设置与部位模板的匹配度阈值进一步减小状态空间，从而提出了一种减小部位状态空间的方法。仿真
实验结果表明所提算法与传统算法相比更加有效。-Algorithm proposed site of a new observation mod
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邮件分类学习，使用svm库实现，用4组数据训练，1组数据测试-Mail classification learning, using svm library implementation, training with four sets of data, one set of data to test
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work-piecehu.rar基本功能：图像预处理，去除阴影，之后利用hu矩，SVM分类。 -The basic function of the work-piecehu.rar: image preprocessing, shadow removal, followed by Hu moment, SVM classification.
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用于SVM高斯核分类-Gaussian kernel for SVM classification-Gaussian kernel for SVM classification
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模式识别中的svm支持向量机方法源代码。输入训练点特征及类别，程序将求解出基于样本类别的分类条件。-Pattern recognition svm SVM method source code. Input point feature and class training program will solve the classification based on the type of sample conditions.
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svm cods for classification
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实现了基于LBP和支持向量机的分类算法。首先提取出LBP特征，再利用支持向量机进行分类-Realized based on LBP and support vector machine (SVM) classification algorithm.First extract LBP feature, using support vector machine (SVM) classification
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实现了基于canny算子和支持向量机的分类算法。首先提取出canny边缘特征，再利用支持向量机进行分类。-Realized based on canny operator and support vector machine (SVM) classification algorithm.First of all, extract the canny edge character, using support vector machine (SVM) classification.
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支持向量机的matlab商业软件包，附有中文和英文使用手册说明，可以在对算法不了解的基础上，利用简单的命令完成支持向量机的分类和回归建模-Support vector machine (SVM) commercial software package in matlab, accompanied by Chinese and English manual, can be on the basis of the algorithm does not understand, using simple
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SVM支持向量机一个简单应用，将二维平面内的两类点（空心圆点和空心方点）进行线性分类，并对分类后的区域进行不同颜色的填充。-SVM support vector machine with a simple application, the two types of point (hollow dots and hollow square dots) within the two-dimensional linear classification, and area classification
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This the code for hand gesture recognition for tape system.it uses SVM and ANN for classification.-This is the code for hand gesture recognition for tape system.it uses SVM and ANN for classification.
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本程序用于基因数据的分类，我自己写了一个基于欧氏距离的费舍尔判据，选取有代表性的基因，最后用NMF将矩阵分解，对得到的矩阵进行分类，分类用的是自带的svm算法-It is used for classfication, I wrote a fisher criterion based on Euclidean distance, selecting representative genes,after NMF,classification with the SVM algorithm is sh
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Svm is algorithm which helps in classification of data
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