搜索资源列表
svmkernel
- 此函数为支持向量机核函数的参数matlab程序-This function support vector machine kernel function parameters matlab program
SVM-img-process
- 讲了支持向量机关于分类的方法，利用不同的核函数进行分类。-Talking about the method of support vector machine classification, using different kernel function classification
medical-image-process
- 讲了支持向量机关于分类的方法，利用不同的核函数进行分类。-Talking about the method of support vector machine classification, using different kernel function classification
Support-vector-machine
- 本文介绍了支持向量机的理论与算法研究，介绍了基础理论，核函数以及各种算法等内容-This paper introduced the support vector machine algorithm theory and research, introduced the basic theory, kernel function and a variety of algorithm etc.
kernal-fuction-for-forecasting
- 优化组合核函数在预测的应用，在人工智能领域较新的应用，希望大家看一下-Optimize the combination of kernel functions in the prediction in the relatively new field of artificial intelligence applications, and hope that we look at
svmandkernelmethodstoolbox
- Matlab工具包，包含了支持向量机和核函数的工具包，可直接调用-Matlab toolkit, including support vector machine SVM and kernel function tool kit, can be called directly
FFF-IP-Core
- Altera FFT兆核函数的使用说明，希望对大家有所帮助。-The use of Altera FFT trillion nuclear function, we want to help.
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-analisis
- 对libsvm 的结构参数、核函数、svm预测以及训练等几个方面进行了详细的分析-It s detailed analysis Libsvm of the structural parameters and kernel function, SVM forecasting and training and so on.
svmnuclass
- 带参数的二次规划支持向量分类机，核函数的用处。-least-square support vector machine classification problem matlab code，functional margin，geometric margin，optimal margin classifier，Kernels feature mapping Regularization and the non-separable case
4op8qr.ZIP
- 优化组合核函数相关向量机电力负荷预测模型Optimization of combined kernel function support vector machine power load forecast model-Optimization of combined kernel function support vector machine power load forecast model
KPCA
- KPCA是一种基于核的主要成分分析，是一种由线性到非线性之间的桥梁。通过非线性函数把输入空间映射到高维空间，在特征空间中间型数据处理，引入核函数，把非线性变换后的特征空间内积运算转换为原始空间的核函数计算。 基本思想是通过某种隐士方法将输入空间映射到某个高维空间（特征空间），并在特征空间实现PCA。对该算法进行了详细的说明-KPCA is a kernel-based principal components analysis, is a bridge between the linear
Object-nackillg-by
- 该文采用各向异性核函数均值漂移 算法实现目标跟踪，由于该核函数的形状、大小、方向能自适应于目标局部结构的变化，保证了跟踪效果的稳定 性和鲁棒性。实验结果证明该算法是有效的。 关-This p印er implement8 object tr纵血ing with anisotropic kernel mean 8hiR in which the 8hape， 8cale，and orieIltation of the kernels adapt to the cha玎ging obj
grouplasso_1_0.tar
- 用于解决最小二乘问题，使用了多维核函数学习的方法-Utilizing multiple kernel learning to solve the least-square regression problem
Matlab_SVM
- SVM实现数据分类，可自行选取核函数，用于图像分割操作。程序可自动训练分类平面。-SVM for data classification, are free to select the kernel function，For image segmentation operation. The program can automatically train classifiers plane.
svm03
- 基于混合核函数的支持向量机,新型的支持向量机方法-hybrid kernel funtion for support vector machine
04618836
- 有关于meanshift核函数带宽变更不错的跟踪算法-Change a good tracking algorithm About meanshift bandwidth of kernel function
SVM_lzb1p0
- 包含陆振波的几种核函数下的SVM识别例程-conclude example of SVM
Alaa_ToolBox_sent
- 此文档包含支持向量机程序和核函数的编写程序-This document contains the program of support vector machine and kernel programming
SVM_Nonlinear3
- 对“data3.m”数据，用其中一半的数据采用非线性SVM算法设计分类器并画出决策面，另一半数据用于测试分类器性能。采用三套核函数，并且比较不同核函数的结果。-To "data3.m" data, which half of the data using nonlinear SVM classification algorithm design and draw the decision-making surface, the other half of the data used to tes