搜索资源列表
WPKLS
- 提出了基于小波核函数的偏最小二乘方法对混沌信号进行了有效拟合,得到了很好的效果。-Based on wavelet kernel function of the partial least squares method of fitting the effective chaotic signal obtained very good results.
SKMsmo
- 用来实现支持向量机的多核学习的SMO 算法-smo algorithm for multiple kernel learning
SVM
- 支持向量机SVM和核函数的matlab程序集,压缩包中包含常用的各种SVM函数,-Support vector machine and kernel function SVM matlab assembly, compressed package that contains a variety of commonly used SVM function
laplacian_eigen
- 拉普拉斯特征映射,采用热核构造权重,是一种基于流行学习的非线性降维技术,可用于图像分割提高聚类的性能-Laplacian Eigenmap is a kind of nonlinear dimensionality reduction technique which based on manifold study, it choose the weights W using the heat kernel and it can be used for image segmentation to
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- mATLAB CODE FOR gAUSSIAN KERNEL
nhist
- estimate kernel density in matlab
MATLAB-indemination
- 利用MAT—LAB对实验数据进行了基于表面轮廓法的三维图像重构,观察不同的平滑领域参数以及轮廓提取阈值对三维重构效果的影响。-In this paper,taking advantage of MATLAB we reconstruct experiment data into three dimension image in the way of feature-based method, and observe the effect of different parameters,s
kernel-regerrsion-denoise-Examples
- 用核回归方法实现图像去噪是目前理论上最先进的图像去噪方法,这里提供的是图像去噪的matlab代码。-Kernel regression method with denoising is theoretically the most advanced image denoising method, here is the matlab code for image denoising.
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
kcca_package.tar
- kernel 标准相关分析,将相关信息映射到同一空间。用于Data Mining,pattern classification-KCCA used for Data mining and Pattern Classification
kernel-0.0.1
- 泊松的图像编辑,实现图片的无缝接融合,matlab下运行-Seamless access integration of Poisson image editing pictures, matlab run
Kernel-Smoothing-Toolbox
- 数据的核密度估计及平滑处理 包含各种窗函数-Kernel Smoothing Toolbox for matlab
kernel-0.0.1
- 一个外国人写的matlab代码,实现功能:用泊松方程实现二维彩色图像的无缝拼接。-Matlab code written by a foreigner functions: image blending using the Poisson equation.
matlab-SVM
- 本资料包括实验要求文档,报告文档,训练及测试数据,matlab源代码。就给定问题,利用SVM来进行分类。SVM包括hardmargin的线性和非线性内核,softmargin的线性和非线性内核分别来分类以及评估分类准确度-a MATLAB (M-file) program to compute the discriminant functiong for the following SVMs, using the training set provided:A hard-margin SVM
kernel
- 基于核的模糊C均值matlab仿真程序,功能函数是用c写的,自带图像可检验算法。-Kernel-based fuzzy C-means matlab simulation program, performance function is used to write c, comes with an image can be tested algorithms.
matlab-nonparamatric
- 两种非参数估计方法 核估计 局部线性估计-kernel smoothing local constant regression
kernel
- truetime 的初始化文件,安装时重要的系统变量设置,进行c语言和matlab联合编程的结合点-TrueTime initialization files, system variables when installing the important settings, combination of C language and MATLAB programming
c4.5-decision-tree-matlab
- c4.5分类器 支持向量机算法 文本分类 样本支持 核函数算法-c4.5 classifier SVM text classification algorithm sample support kernel function
elm-kernel
- The MATLAB codes ELM with kernels (for both regression and multi-class classification) work linearly similarly to ELM with random hidden nodes. For the sake of convenience, the source codes of ELM with kernels are given separately.
kernel
- kernel光滑滤波matlab源程序代码。fun为kern函数,在matlab文件中提供了四个函数:均匀函数,二次函数,一阶导数估计和二阶导数估计,详细请见算法文档。-kernel smooth filter matlab code