搜索资源列表
kernel-ica
- 核独立主元分析（kernel independent component analysis)软件包，可在MATLAB 5或MATLAB 6环境下运行。-It is a kernel independent component analysis program packet that can be run under MATLAB 5 or MATLAB 6.
kernel-ica1_0.tar
- The kernel-ica package is a Matlab program that implements the Kernel ICA algorithm for independent component analysis (ICA). The Kernel ICA algorithm is based on the minimization of a contrast function based on kernel ideas. A contrast functio
gaussian.rar
- 高斯滤波核函数生成,可以根据K和要生成对应的高斯核,Gaussian filter kernel generation, according to K and to generate the corresponding Gaussian kernel
lwpr.rar
- 局部线性回归方法及其稳健形式已经被看作一种有效的非参数光滑方法.与流行的核回归方法相比,它有诸多优点,诸如:较高的渐近效率和较强的适应设计能力.另外,局部线性回归能适应几乎所有的回归设计情形却不需要任何边界修正。,Local linear regression methods and their solid form has been seen as an effective non-parametric smoothing method. Contrary to popular kernel
kpca.rar
- kpca 用于人脸识别等的matlab源码,KPCA for face recognition matlab source, etc.
KPCA.zip
- kPCA程序 一个关于kernel pca的实现代码,kpca
KPLS
- 基于核函数的偏最小二乘算法，先对原矩阵进行核函数非线性变化，再用非线性迭代求解-Kernel-based partial least-squares algorithm, first the original non-linear function of changes in the nuclear matrix, and then non-linear iterative solution
kpca_azaaza
- kpca 基于核主成分分析的源程序，有注释，希望对大家有帮助！-kpca based on kernel principal component analysis, source code, there are comments, want to help you!
KGaussian1 高斯核核函数的matlab程序
- 核函数中经常用到的高斯核核函数的matlab程序-Kernel function often used in the Gaussian kernel function matlab nuclear program
KPCAEXAMPLE
- 一个很好的核主成分分析matlab程序应用举例。该程序是在前人的核主成分分析程序基础上做了适当的修改产生的，可用于多维数据的降维和压缩处理。-A good kernel principal component analysis matlab application procedures, for example. The program is in the predecessors of Kernel Principal Component Analysis based on the proce
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,
kernel_pca
- Kernel principal component analysis (kernel PCA) [1] is an extension of principal component analysis (PCA) using techniques of kernel methods. Using a kernel, the originally linear operations of PCA are done in a reproducing kernel Hilbert space with
Kernel-PCA
- 基于核方法的主成分分析matlab源代码，比较经典，推荐学习。-Method based on kernel principal component analysis matlab source code, more classic, recommended learning.
kernel-ICA
- The kernel-ica package is a Matlab program that implements the Kernel ICA algorithm for independent component analysis (ICA). The Kernel ICA algorithm is based on the minimization of a contrast function based on kernel ideas. A contrast functio
getKernel_orig2blurred
- robust blur kernel estimation for licance plate image from fast moving vehicles
KernelSVM
- SVM中常用的核函数，可直接通过调参使用(The common kernel function in SVM can be used directly by adjusting parameter)
基于蚁群算法的图像边缘检测 MATLAB源程序
- 基于蚁群算法的图像边缘检测，包含四种核函数，下载之后可直接运行(Image edge detection based on ant colony algorithm, including four kernel functions, which can run directly after downloading)
Kernel Smoothing Regression
- 高斯核平滑回归 matlab代码，代码内自带example；MATLAB学习，教程(Gauss Kernel Smoothing Regression contains matlab code and example)
multi-kernel-path-1.1
- 多核变换，稀疏变换，核变换自适应学习，图形图像变换(Descr iption ----------- Multi-Kernel-Path package is a Matlab program that computes the entire regularization path for multiple-kernel learning problems. More precisely, it solves any learning problem with a smooth loss