搜索资源列表
PG_BOW_DEMO
- 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
SVMbyQuadprog
- 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.
looms
- 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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- 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
rbf
- 向量机算法中的核函数 向量机算法中的核函数-SVM kernel function
rbfSVM
- 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
svm-rbf-demo
- 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
libsvm-kernel--of-ploynomial-and-RBF
- 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
RBF-kernel-based-on-SVM-and-RVM-
- 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.
dd_ex3
- 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 descr iption, use the RBF kernel. Use test data to draw a scatter plot is.
svm_v251
- 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
rbf-kernelsvmdemo
- 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
approxsvm-master
- 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.
demofun
- This a simple demo, solving a simple regression task using LS-SVMlab. A dataset is constructed in the right formatting. The data are represented as matrices where each row contains one datapoint. In order to make an LS-SVM model, we need 2 extra para
Gaussian
- 通过 Gaussian kernel说明非线性回归分析的算法-Gaussian kernel smoother, Gaussian kernel-based linear regression, RBF kernel regression
RBF
- RBF神经网络：rbf原理：所谓径向基函数(Radial Basis Function 简称 RBF），就是某种沿径向对称的标量函数。通常定义为空间中任一点x到某一中心xc之间欧氏距离的单调函数，可记作 k(||x-xc||），其作用往往是局部的，即当x远离xc时函数取值很小。最常用的径向基函数是高斯核函数，形式为 k(||x-xc||)=exp{- ||x-xc||^2/（2*σ）^2） } 其中xc为核函数中心，σ为函数的宽度参数，控制了函数的径向作用范围。在RBF网络中，这两个参数往往是可
SVMcg
- 支持向量机参数选择，利用网格搜索法确定支持向量机的惩罚因子和RBF核参数-Support vector machine (SVM) parameters choice, the grid search method is used to determine the punishment factor and RBF kernel parameters of support vector machine (SVM)
libORF-master
- 针对各种机器学习，深度学习领域的一个matlab工具包-A machine learning library focused on deep learning.Following algorithms and models are provided along with some static utility classes: - Naive Bayes, Linear Regression, Logistic Regression, Softmax Regression, Linear S
D2dataset-master
- Perform SVM and test results a) For now, assume that the main scr ipt 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
svr
- RBF核函数编写和svr的matlab编写(RBF kernel function writing)