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Advances_in_kernel_methods
- 这本书的内容基本摘自NIPS会议上的文章，质量高内容也很有深度，是一本经典的svm参考书。-the book with the name "advances in kernel methods",it is a classic book about kernel methods and svm.
svdd
- 超球面支持向量机，一种构建超球面来进行分类的单类svm -Ultra-spherical support vector machine, a super-spherical to build a single-category classification SVM
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.
KPCAandSVM
- KPCA与SVM共同用于人脸识别 SVM提高了分类效果 KPCA是一种借鉴SVM中核函数的一种较好的特征提取方法-KPCA and SVM for face recognition SVM together to improve the classification results from KPCA is a kernel function in SVM a better feature extraction method
SeveralrelativelynewSVMkernelfunctionandanumberofa
- 几篇较新的SVM文章核函数及多类问题lifeye1-Several relatively new SVM kernel function and a number of articles issues lifeye1
svm_perf
- SVMstruct is a Support Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning by approximating a mapping h: X --> Y using labeled training examples (x1,y1), ..., (xn,yn). Unlike reg
kerneladatron
- kernel adatron, svm impelemtation using gradient ascent method, fast and accurate for solving SVM problem with two classes
kerneladatron
- Kernel adatron, solving svm with gradient ascend method. fast and accurate.
PolySVC
- Construct a non-linear SVM classifier with a polynomial kernel from the training Samples and Labels
mypredict
- 对高分辨距离像采用两种SVM核函数进行仿真，仿真效果良好-Using two pairs of high resolution range SVM kernel simulation, simulation good results
pcakenelfunction
- pca分解的核函数，在pca分解中可以用到，特别是分解的矩阵维数比较高的情况下，通过svd分解获得pca基-pca decomposition of the kernel function, in the pca decomposition can be used, in particular the decomposition of the matrix of higher dimension, through the svd decomposition was pca-based
ClassificationUsingIntersectionKernelSupportVector
- 基于Intersection Kernel SVM的分类的一篇很好的文章，适合需要对分类问题研究的人参考-Classification using Intersection Kernel Support Vector Machines is Efficient
SVregression
- In kernel ridge regression we have seen the final solution was not sparse in the variables ® . We will now formulate a regression method that is sparse, i.e. it has the concept of support vectors that determine the solution. The thing to not
KPCA
- 核主成分分析方法，是主成分分析的一种改进算法，是一种非线性的特征提取方法。 -Kernel principal component analysis, is the principal component analysis of an improved algorithm, is a nonlinear feature extraction method.
KPCA
- 在ORL或Yale标准人脸数据库上完成模式识别任务。用PCA与基于核的PCA（KPCA）方法完成人脸图像的重构与识别试验. -Or Yale in the ORL face database, complete the standard pattern recognition tasks. With the PCA and kernel-based PCA (KPCA) method to complete the reconstruction of face image and reco
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
- SVM基础资料,关于核函数的分类及可支持向量机的一些资料-SVM based on information about the kernel function support vector machine classification and may some of the information
svm4
- -s svm类型：SVM设置类型(默认0) 0 -- C-SVC 1 --v-SVC 2 – 一类SVM 3 -- e -SVR 4 -- v-SVR -t 核函数类型：核函数设置类型(默认2) 0 – 线性：u v 1 – 多项式：(r*u v + coef0)^degree 2 – RBF函数：exp(-r|u-v|^2) 3 –sigmoid：tanh(r*u v + coef0) -d degree
svm_kernel_demo
- 利用polynomial order kernel function来秀出SVM执行时可能产生出来的错误并汇图表示-Use of polynomial order kernel function to SVM showed off that may arise out of implementation errors and exchange graph
SVM-KM
- 基于MATLAB平台的 KM-SVM算法源码-Kernel Methods for Pattern Analysism based on matlab