搜索资源列表
CKPCA-HOG-SVM
- 为了准确地对监控场景中的运动目标进行语义上的分类，提出了一种基于聚类的核主成分分析梯度方向直方图和二又决策树支持向量机的运动目标分类算法。-In order to accurately monitor the movement of scene targets semantic classification, the clustering based on kernel principal component analysis of gradient direction histograms,
svm
- 这是一个十分完善的SVM算法。包括各种的线性核和非线性核。能够解决各种分类问题。-This is a very good SVM algorithm. Including the linear kernel and nonlinear kernel. To solve various classification problems.
kernel
- svm 核函数的选择与构造 在matlab中运行-svm kernel function and structure of the choice to run in matlab
SVM_lzb1p0
- svm（支持向量机）能进行分类。有不同的核函数，如线性，多项式等-svm (support vector machine) can be classified. There are different kernel functions, such as linear, polynomial, etc.
svm
- SVM源代码程序，包含了SVM的各个子模块-SVM source code program, including the various sub-modules of the SVM
pso-svm
- 这是一个用pso优化SVM中的惩罚参数C和核参数g的MATLAB源码，简单易学-This is an optimization of SVM with the pso in the penalty parameter C and kernel parameter g of the MATLAB source code, easy to learn
IEEEXplore11
- svm 信号理论的核参数估计，这是一篇ieee上下载的文章，与大家分享学习，谢谢。-SIGNAL THEORY FOR SVM KERNEL PARAMETER ESTIMATION . D. B. Nelson, R. L Damper, S. R. Gunn and B. Guo
Gauss-SVM
- 基于Gauss 核函数SVM分类机，使用二阶几何方法训练。-Gauss kernel function SVM classification based on machine, using the geometric method of second-order training.
SVM
- In this paper, we show how support vector machine (SVM) can be employed as a powerful tool for $k$-nearest neighbor (kNN) classifier. A novel multi-class dimensionality reduction approach, Discriminant Analysis via Support Vectors (SVDA), is in
stprtool--SVM
- stprtool--SVM内核生产svm_mex.dll 用于其他SVM训练用-stprtool- SVM kernel production svm_mex.dll used for other SVM training with
svclassify
- A method for classification of image using svm kernel
kernel
- 用于实现支持向量机的核函数，常用的四种，多项式，线性，高斯-Used to implement SVM kernel function, four common
svm-cailiao
- 支持向量机的原理、应用。支持向量机的算法、综述、核函数的定义等-Support vector machine principle, application. Support vector machine algorithm, summarized the definition of kernel function
rbf
- 向量机算法中的核函数 向量机算法中的核函数-SVM kernel function
svm
- svm核主成分分析，简单实用，毕业论文程序-svm kernel principal component analysis, simple and practical, graduation procedures
SVMhybridsystem
- A distributed PSOSVM hybrid system with feature selection and parameter optimization -Abstract This study proposed a novel PSO–SVM model that hybridized the particle swarm optimization (PSO) and support vector machines (SVM) to improve the clas
gradient_descent_opt
- --- --- --- --- ---Kernel PCA --- --- --- --- - kpca1 | Simple Example of Kernel PCA on a artificial datasets | kpca2 | Example of KPCA. this is a B.Scholkopf modified routine | kpca3 | Example of Multilayer SVM with a KPCA as a fir
SVM-based-image-classification
- 基于SVM的图像分类，由于支持向量机的分类能力极大地依赖于核参数的选取，因此，本文着重研究了核参数选择方法，并利用不同的颜色、纹理特征对图像进行分类。 -SVM-based image classification, the classification capability of SVM kernel parameters greatly depend on the selection, therefore, this paper focuses on the kernel paramet
SVM-kernel
- SVM核函数源代码，用matlab语言编写的，适用于分类及相关问题的分析-The SVM kernel function source code, written with matlab language, suitable for classification and analysis of the related problem
type_svm kernel
- Types of Support Vector Machines (svm) kernel