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svm in matlab

In machine learning, support vector machines are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. svm light is a collection of software tools for learning and classification using...
  Matlab        Matlab     

matlabe svm code

matlabe code for classification using support vector machine (svm) technique.it's better than using Artificial neural network (ANN) and other tradition methods of classifications....
  Matlab        Matlab     

Kit for one-class classification and description, you can directly use

This kit is very easy to use, also knew that some usage, some functions can be called directly using the, welcome everyone to download. This kit is very easy to use, also knew that some usage, some functions can be called directly using the, welcome everyone to download....
  Matlab        Matlab     

emotion classification

Emotion classification using svm A.   The problem/Subject Matter  Emotion classification is hard!   Yes, emotion classification is hard for at least a few reasons.  ·         First, in some cases, even hu...
  Matlab        Matlab     

svm matlab code

this code is for svm classiffication. this method is very good model for classification. svm is one of kernel methods. in this code exist very kernel....
  Matlab        Matlab     

soil moisture measurements

There are two ways to measure soil moisture: 1 soil Moisture Tension and 2 soil Moisture Content soil moisture tension soil moisture tension tells you how easy it is to extract water from soil. When a soil is saturated, there is plenty of water in the pore spaces and plenty...
  Embeded        C     

svm 算法有实例

亲测好用。  内附源码以及数据,参考文献。  老师上课给的资料。有用来聚类分析。   有学习和训练之分。初学者可以用来体验svm, 非常好的实例。。有算法的详细解释外加注解...
  Algorithm        Matlab     

OpenCV机器学习svm支持向量机的分类程序

OpenCV机器学习svm支持向量机的分类程序,可用于模式识别的多分类。也以用于实验或工程项目,我才用的是opencv243的库,部分代码如下: #include"opencv243.h" #include <TIME.H> #include <CTYPE.H> #include <IOSTREAM> using n...
  Image Processing        C++     

svm分类与回归

svm的模式识别 ,数据文件和程序文件,适用于初学svm的朋友!                                    &n...
  Matlab        Matlab     

svm smo python code

Implementation of svm algorithm using Python language, to achieve a simplified version, including the realization of the full version of realization and optional with kernel function. And contains a number of simple data sets, used for test validation....
  Windows        Python     

multi svm for character recognition

 In this paper License plate recognition (LPR) is proposed using Bernsen algorithm and support vector machine (svm)  integration. Bernsen algorithm mainly used for binarization, it also performs the shadow removal by combining with Gaussian filter  where as svm is used for character...
  Image Processing        Matlab     

libsvm3.17

支持向量机源码,  机器学习源码资料。libsvm3.17版本 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...
  Algorithm        C++     

用于分类的经典算法 libsvm

LIBsvm是台湾大学林智仁(LinChih-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...
  分类        Matlab     

svm处理图像

利用svm做分类器对图像进行识别处理,是在matlab语言实现,实现简洁易懂...
  Matlab        Matlab     

svm 图像识别

利用svm分类器对图像进行分类,运行环境为opencv,并且代码包内含有关于libsvm的相关文献...
  Algorithm        C++     

svmlib 最新版

svmlib 最新版,  主要函数svm-train,svm-predict,svm-scale,easy.py,grid.py,功能介绍如下: svm-train 用来对训练样本进行训练,之后生成一个.model文件,即为svm的训练模型 svm-predict 用来对测试样本进行分类,参数...
  Algorithm        C++     

svm 分类器 很好用的 可以用在图像处理中

svm 分类器 很好用的 可以用在图像处理中 使用的是c++ 基于opencv的 ...
  Image Processing        C++     

svm工具箱及示例程序

svm工具箱简介及示例程序说明 svm工具箱,包括完整的工具箱,演示程序和说明文档-svm toolbox, including a complete kit, demo program and documentation...
  Matlab        Matlab     

svm支持向量机源代码

支持向量机(Support Vector Machine)是Cortes和Vapnik于1995年首先提出的,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。支持向量机方法是建立在统计学习理论的VC...
  Matlab        Matlab     

小型svm分类器

svm是一种用超平面定义的分类器,是一种监督的分类算法。即使用带标签的训练数据,svm得到优化的超平面,使得两类之间的距离最大,这样有什么好处呢?显而遇见,这样可以降低噪声干扰,因为超平面到数据点的距离是最大...
  Windows        C++     

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