搜索资源列表
gkdj
- 以为高斯和密度估计，使用高斯核的非参数密度估计方法，对样本进行概率密度估计，程序中给出了窗宽的估算公式。-That the Gaussian and density estimation, using Gaussian kernel non-parametric density estimation method, the sample probability density estimates, the program gives the formula for bandwidth estim
[matlab]
- 模糊核聚类算法的几篇论文及matlab源码，可以以练代学，更好掌握模糊聚类方法。-Fuzzy Kernel Clustering Algorithm matlab several papers and source code, can be practicing on behalf of science, to better grasp the fuzzy clustering method.
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.
nystrom
- 通过nystrom数值方法来加速核矩阵的运算。-using the nystrom method to speed up the kernel matrix decomposition.
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
svclassify
- A method for classification of image using svm kernel
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
sph1
- The smooth particle hydrodynamics (SPH), the diffuse element method (DEM), the element-free Galerkin method (EFGM), the reproducing kernel particle method (RKPM), the moving-particle semi-implicit method (MPS) are among others. However, it seem
kerns
- kernel method 工具箱，包含基本的kernel的使用实例-kernel method toolbox, including the use of examples of the basic kernel
ICA_by_HaoShenStefanieJegelkaandArthurGretton
- 由Hao Shen, Stefanie Jegelka, and Arthur Gretton提供的Fast Kernel ica算法。-Fast Kernel Independent Component Analysis using an Approximate Newton Method by Hao Shen, Stefanie Jegelka, and Arthur Gretton
kernelbasedmoothing
- 基于核函数回归方法的图像去噪，图像平滑。对于图像领域的研究者有很大作用-Kernel regression method based on image denoising, image smoothing. Researchers in the field for the image plays a significant role
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.
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
@kde
- 把那个软件包解压缩，添加到matlab路径下，运行@kde\mex\makemex.m，然后就可以调用kde函数创建核密度估计类对象，调用类对象的各种“方法”实现核密度估计、画图等-Next, running @ kde \ mex \ makemex. then can be called kde function creates kernel density estimation class object, the call of the object of "method" realiz
KPCA_SVM
- 核主成分分析和支持向量机方法相结合，用于数据分类和预测。-Kernel principal component analysis and support vector machine method combined for data classification and prediction.
KPCA
- A new method for performing a nonlinear form of Principal Component Analysis proposed. By the use of integral operator kernel functions, one can eciently compute principal components in high{ dimensional feature spaces, related to input space
kernelc
- 一种新型核函数，用于图像分类，效果还不错-a new kernel method
GFK_v1
- 测地距离核方法的预适应方法，将源域和目标域降到一个共同子空间进行学习(The geodesic distance, the domain adaptation method of the kernel method, reduces the source domain and the target domain to a common subspace for learning)
SVM-KM
- SVM-KM工具箱 关于支持向量机核方法的有利工具(svm-km toolbox, a useful tool for support vector machine about kernel method.)