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Description: SVM用于模式识别
整理别人的代码（原来的是英文）所得：
kernel.m用于内积矩阵的计算
svcplot.m用于绘图
svm168.m是主程序
testlin.m是采用线形内积函数的支持向量机应用的 文件
testrbf.m是采用RBF内积函数的支持向量机应用 的 文件
每个文件中都有说明。
仿真平台matlab7.0, 仿真全部通过
将所有文件拷贝到work目录下（注意不要直接将上层文件夹直接拷贝到work目录下，若那样操作，必须在matlab的file菜单中的set path中设置相应的路径）。
打开matlab，在命令窗口中输入 testlin或testrbf 即可查看结果。
-SVM pattern recognition for collating other people's code (the original is in English) from : kernel.m plot within the matrix for the calculation svcplot.m for graphics is the main svm168.m testlin.m procedure is used linear plot function within the SVM application documents testrbf.m RBF is using plot function within the SVM applications each file documents were described. Matlab7.0 simulation platform, all through the simulation of all the documents copied to the work directory (not directly to the attention of the upper folder directly copied to w contex directory, as if the operation, Matlab in the file menu on the set path corresponding set the path). Open Matlab, in the command window or imported testlin testrbf can see the results.
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Size: 6144 |
Author: 郑军 |
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Description: 这是我自己写的一个关于svm的核程序,希望对正在学习的朋友有所帮助.-that I wrote on a svm nuclear procedures in the hope that the friends are learning some help.
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Size: 2048 |
Author: oliver |
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Description: 将遗传算法(GA)与传统SVM算法结合,构造出一种参数最优的进化SVM(GA2SVM),SVM 模型采用径向基函数(RBF)作为核函数，利用格雷码编码方式对SVM算法的模型参数进行遗传编码和优化搜索，将搜索到的优化结果作为SVM 的最终模型参数。-Genetic algorithm (GA) combined with the traditional SVM algorithm, a kind of tectonic evolution of the optimal parameters of SVM (GA2SVM), SVM model using Radial Basis Function (RBF) as kernel function, the use of Gray code encoding algorithm of the SVM model parameters of genetic coding and optimization of search, will search for the optimal results as the final SVM model parameters.
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Size: 179200 |
Author: zhaoxiufen |
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Description: This is a support vector machine program developed based on quadprog. Polynomial and RBF kernel are supported. Test it by executing example.m with supported data.
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Size: 260096 |
Author: SUNGWOONG KIM |
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Description: 留一模型选择法leave-one-out model selection，适合支持向量机分类和回归时进行参数选择。-looms uses a slightly modified
BSVM to perform model selection on binary classification problems.
Currently the RBF kernel is supported.
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Size: 56320 |
Author: Mountain |
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Description: 关于rbf神经网络实现图像分类的优化算法英文文献 源于著名期刊I-A METHOD FOR IMAGE CLASSIFICATION BASED ON KERNEL PCA
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Size: 235520 |
Author: sfes |
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Description: 向量机算法中的核函数 向量机算法中的核函数-SVM kernel function
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Size: 1024 |
Author: lsxk |
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Description: 基于RBF径向基核函数实现SVM支撑矢量机算法，-SVM algorithm based on RBF kernel
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Size: 1024 |
Author: Shirly |
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Description: libsvm介绍及用法，包括数据预处理，模型选择，何时使用线性核函数而非RBF核函数-libsvm introduction and usage, including data preprocessing, model selection, when to use linear kernel rather than the RBF kernel
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Size: 158720 |
Author: 豆豆 |
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Description: 图像的特征用到了Dense Sift，通过Bag of Words词袋模型进行描述，当然一般来说是用训练集的来构建词典，因为我们还没有测试集呢。虽然测试集是你拿来测试的，但是实际应用中谁知道测试的图片是啥，所以构建BoW词典我这里也只用训练集。
其实BoW的思想很简单，虽然很多人也问过我，但是只要理解了如何构建词典以及如何将图像映射到词典维上去就行了，面试中也经常问到我这个问题，不知道你们都怎么用生动形象的语言来描述这个问题？
用BoW描述完图像之后，指的是将训练集以及测试集的图像都用BoW模型描述了，就可以用SVM训练分类模型进行分类了。
在这里除了用SVM的RBF核，还自己定义了一种核： histogram intersection kernel，直方图正交核。因为很多论文说这个核好，并且实验结果很显然。能从理论上证明一下么？通过自定义核也可以了解怎么使用自定义核来用SVM进行分类。-Image features used in a Dense Sift, by the Bag of Words bag model to describe the word, of course, the training set is generally used to build the dictionary, because we do not test set. Although the test set is used as the test you, but who knows the practical application of the test image is valid, so I am here to build BoW dictionary only the training set.
In fact, BoW idea is very simple, although many people have asked me, but as long as you understand how to build a dictionary and how to image map to the dictionary D up on the line, and interviews are often asked me this question, do not know you all how to use vivid language to describe this problem?
After complete description of the image with BoW, refers to the training set and test set of images are described with the BoW model, the training of SVM classification model can be classified.
Apart from having to use the RBF kernel SVM, but also their own definition of a nuclear: histogram intersection kernel, histogram
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Size: 3585024 |
Author: lipiji |
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Description: 基于RBF核函数的最小二乘支持向量机演示程序，对学习支持向量机有帮助-Based on RBF kernel functions, the least squares support vector machine (SVM) demo application to the study of support vector machine have help
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Size: 7168 |
Author: 熊楠 |
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Description: 基于RBF核的SVM及RVM模式分析性能比较.-RBF kernel based on SVM and RVM pattern analysis performance comparison.
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Size: 323584 |
Author: jdasd |
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Description: 在libsvm平台下，用RBF核函数和polynomial多项式核函数结合，形成新的混合核函数，求验证其正确性-libsvm kernel of RBF and ploynomial
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Size: 1024 |
Author: 安文超 |
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Description: 使用支持向量数据描述，使用RBF核。利用被检测数据画出一个散点图。-Using support vector data description, use the RBF kernel. Use test data to draw a scatter plot is.
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Size: 1024 |
Author: |
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Description: 用于模式分类和预测的方法——支持向量机的TOOLBOX的程序，核函数选择为 RBF核函数-Method for pattern classification and prediction- SVM TOOLBOX program, RBF kernel function is selected as the kernel function
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Size: 246784 |
Author: alinda_su |
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Description: 支持向量机的演示程序，可以学习到支持向量机的工作原理及变成机理。核函数是RBF核函数-Support vector machine (SVM) demo, can learn to the working principle of support vector machine (SVM) and become a mechanism. Kernel function is RBF kernel function
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Size: 5120 |
Author: Yu siquan |
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Description: This project is a C++ implementation of a second-order Maclaurin series
approximation of LIBSVM models using an RBF kernel. This approximation
greatly increases prediction speed for models with many support vectors
but in few dimensions.
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Size: 799744 |
Author: aman |
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Description: RBF-kernel unsupervised classification
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Size: 5120 |
Author: hosna |
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Description: Perform SVM and test results
a) For now, assume that the main script is grid_search.IT performs a grid search for SVM using RBF kernel , for the 2 parameters C and gamma .Criterios for choosing the right values is the F1 score and accuracy of the classifier. b) Having choosen the right parameters , the next step is to convert binary values to probabilities.
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Size: 10240 |
Author: sami2423
|
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Description: RBF核函数编写和svr的matlab编写(RBF kernel function writing)
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Size: 2048 |
Author: 小鱼_aaa |
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