搜索资源列表
Clustering-algorithm
- 本文介绍了支持向量机基于核方法的聚类算法及其应用-This paper introduced the support vector machine based on kernel method for clustering algorithm and its application
struck
- 这是一个c++程序，采用了类似多示例学习的利用核方法的结构输出模型进行目标跟踪，相当有效！-This is a C++ implementation of the tracking algorithm described in Struck: Structured Output Tracking with Kernels.
BG
- 属于地球物理反演。不适定问题求解方法四，平均核方法。（有图像）-Belong to the geophysical inversion. Four ill-posed problem solving method, the average nuclear methods. (image)
wkl
- 小波核方法工具箱，来自法国University de Rouen的Alain Rakotomamonjy 教授，有对应论文Wavelet Kernel Learning。-This package is a set of Matlab scr ipts that implements the algorithms described in the submitted paper: "Wavelet Kernel Learning".
kernels
- 基于核方法的各种算法，主成分分析，fish方法等-A variety of algorithms based on kernel method, principal component analysis, fish method
KernelDensityEstimation
- 核密度估计的Python源代码,用于核方法估计-Kernel Density Estimation
kda-1.0
- 基于KDA的人脸识别首先利用核方法将人脸图像数据集非线性映射到一个高维特征空间中，然后在高维特征空间中利用LDA进行线性特征提取-Face recognition based on first use of nuclear KDA method will face image data set nonlinear mapping to a high dimensional feature space, and then use LDA in high-dimensional feature sp
13FaceRec
- 人脸特征提取与识别matlab程序，主要提取了PCA特征、SVM分类和核方法分类等，代码可以直接使用-Face recognition based on PCA features and Kernel methods, which is used in pattern extraction.
steven2358-kmbox-v0.11-0-g425fe66
- 核方法工具箱，包括核典型相关分析KCCA，KPLS等算法的源码和实现。-Kernel Methods Toolbox KMBOX includes implementations of algorithms such as kernel principal component analysis (KPCA), kernel canonical correlation analysis (KCCA) and kernel recursive least-squares (KRLS).
luoxuanjiangqiangdujiaohe
- 运用MATLAB编写的螺旋桨强度校核程序。按照《船舶原理》书上的校核方法编写。输入螺旋桨已知数据，直接计算出得出是否合格。-MATLAB prepared using a propeller strength check program. Prepared in accordance with checking methods Ship Principle book. Enter the propeller known data, derived directly calculate eli
luoxuanjiangkongpaojiaohe
- 运用MATLAB编写的螺旋桨空泡校核程序。按照《船舶原理》书上的校核方法编写。输入螺旋桨已知数据，直接计算出是否合格。-Using MATLAB prepared by propeller cavitation check program. Prepared in accordance with checking methods Ship Principle book. Enter the propeller known data, directly calculate eligibilit
KCFcpp-master
- kcf 追踪代码，核方法实现,包括HOG算法-Kcf u8FFD u8E2A u4EE3 u7801 uFF0C u6838 u65B9 u6CD5 u5B9E u73B0, u5305 u62ECHOG u7B97 u6CD5
ELMs
- 超限学习机算法具有易部署、训练速度快、精度高的优点，能处理回归和分类任务。这里包含原型超限学习机、基于核方法的超限学习机和加权超限学习机算法的Matlab代码- U8D85 u5B6 u5B6 u4E60 u673A u7R3 u7R3 u0101 UFF0C u809.0 u5904 u7R09 u5R09 u5R3 u5252 u5206 u5206 u7C7B u2EFB u52A1 u3002 u8FD9 u91CC u5305 u5
核主成分分析
- 在具有降维作用的核主成分分析方法基础上增加一个核函数成为新的核主成分分析方法。(On the basis of kernel principal component analysis with dimension reduction, a kernel function is added to be a new kernel principal component analysis 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)
kPCA_v3.1 (1)
- KPCA用于数据特征的降维，先通过核方法，将样本映射到高维空间，再进行主成分分析过程。(KPCA is used to reduce the dimension of data, first through the kernel method, the sample is mapped to high-dimensional space, and then the principal component analysis process.)
kernel function
- matlab程序，核函数方法，可用于认知无线电频谱感知中(kernel function method for Spectrum sensing in cognitive radio)
非参数估计SO2浓度
- 用5种非参数方法：线性样条、B样条、N-W核估计、最近邻估计、局部多项式对某地SO2浓度数据进行拟合。(5 non parametric methods: linear spline, B spline, N-W kernel estimation, nearest neighbor estimation, and local polynomial are used to fit the SO2 concentration data in a certain area.)
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.)
FSASL-master
- 该方法通过计算核空间距离从而来对样本进行特征选择。(The method is used to select the features of the samples by calculating the distance of the nuclear space.)