搜索资源列表
kdetoolbox(matlab)
- 核密度估计(kde)的工具箱,我是在做背景建模的时候遇到这方面问题找到的,希望对大家有点用处.-nuclear density estimates (kde) Toolbox, I was doing background modeling, encountered this issue to find, and I hope to you a bit useless.
@kde
- 核密度（KDE）估计程序 开发环境matlab
KDE
- 本文介绍了一种基于核函数的参数估计方法，对于初学者来讲很有帮助-kernel based estimation
kde
- Non-parametric density estimation
kde.tar
- kde全称是kernel density estimation.基于核函数的概率密度估计方法。是模式识别中常用的算法之一-KDE which is kernel density estimation is used to estimate probabilty function. It is mostly used in pattern recogntion
kde
- Kernel Density Estimation (Set of tools for nonparametric (kernel) density estimation)
kde
- KDE for segmentation such as how to locate the person from the envrionment-KDE for segmentation
kde
- 本程序是一维密度估计，用于了解和密度估计有很大帮助。-One-dimensional kernel density estimation
kde
- Mean shift algorithm with matlab
Density_Estimation
- 分别采用GMM和KDE对Iris数据集进行密度建模，并进行对比。通过EM算法来确定GMM参数，通过交叉验证来确定K值-GMM and KDE respectively Iris data set of density modeling, and compared. GMM by EM algorithm to determine the parameters of K determined by the value of cross-validation
gkde
- KDE function or kernel density function for the estimation of a continuous density
@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
kde
- 中心密度估计 matlab程序 应解压后可直接运行-Center density estimates
calculation-for-KDE
- The code implements an approximation of the multivariate bandwidth calculation from -The code implements an approximation of the multivariate bandwidth calculation from [1]. In contrast to other multivariate bandwidth estimators, it can be estimated
kde
- 核密度概率估计方法，对于复杂分布的概率密度估计很实用-density analysis
KDE
- KDE Pattern recognition +docs
kde-toolbox
- matlab的核密度工具箱，非常实用，简单易用。-nuclear density matlab toolbox, very practical, easy to use.
KDE
- 对6个样本点，进行直方图估计核高斯核密度估计-for 6 sample points, histogram estimation and Gauss kernel density estimation
KDE
- 用KDE和密度估计方法实现行人检测，该方法亲测有效.-Pedestrian detection using KDE kernel density estimation. The method is effective.
kde
- 用于计算样本数据的非参数核密度估计，代码简单易懂。(Nonparametric kernel density estimation)