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kernel-density-estimation.rar
- 一种核密度估计，或者称作带宽选择的方法，可以估计二维尺度参数，至于多维以上的估计方法尚在开发，多维情况下个人经验好的方法是多次实验取较好值,kernel density estimation, bandwidth selection, two-dimensional scale parameter can be estimated ,for the multi-dimensional approaches are still under development, multi-dimensiona
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
KsQuantile
- 利用正态分布和核密度估计计算分位数。包括正态分布分位数函数、核估计概率密度函数、核估计累计分布概率函数、核估计计算分位数函数。-Normal and kernel density estimation using sub-digit calculation. Including the normal quantile function, kernel estimate probability density function, cumulative distribution probabilit
background_substraction
- 视频背景非参数估计论文及matlab实现.matlab代码只实现了灰度图的背景估计，论文利介绍的彩色视频处理方法可以自己看看怎么做。-Background and Foreground Modeling Using Nonparametric Kernel Density Estimation for Visual Surveillance AHMED ELGAMMAL, RAMANI DURAISWAMI, MEMBER, IEEE, DAVID HARWOOD, AND LA
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
- 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
kdemcode
- Reliable and extremely fast kernel density estimator for one-dimensional data
nhist
- estimate kernel density in matlab
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
transformed-kernel
- 用变形核密度模型对数据的统计分布进行估计，常用于金融信用分析、财产保险精算等领域，是一个很有效、常用的非参数模型-Deformation of the nuclear density model of the statistical distribution of the data to estimate the financial credit analysis, property insurance and actuarial fields, is a very effective and
density
- machine learning-Density Estimation objects. parzen - Parzen s windows kernel density estimator indep - Density estimator which assumes feature independence bayes - Classifer based on density estimation for each class gauss - Normal distr
ssvkernelx
- Locally Adaptive Kernel Density Estimation
ssvkernelxx
- Locally Adaptive Kernel Density Estimation
kde2d
- 核密度估计，可以刻画变量的时间演进动态性，可以反映变量在时间上的变动的整体性- Kernel Density Estimation
density
- kernel density estimation MATLAB
parzen
- 核密度估计的parzen窗法，简单易用，适合于初学非参数估计的用户。-Kernel Density Estimation parzen window method, easy to use, suitable for novice non-parametric estimation of the user.
density
- 计算核密度估计的一个程序，内置多种函数。可以修改原始数据。-Computing kernel density estimation program built many functions. You can modify the original data.
kernel-density-estimation
- 本程序是核密度函数的运用。对于大量的数据，而且分部成离散状态时，采用核密度分析是有效的。-This procedure is to use kernel density function. For large amounts of data into discrete segments and state, the use of nuclear density analysis is valid.