kernel density estimation

Drinking Water Safety Risk Assessment Based on Kernel Density Estimation

基于核密度估计的饮用水安全风险评价

One optimal bandwidth kernel density estimation clustering approach is presented .

提出了最优带宽的核密度估计聚类方法。

Moving object detection method using background Gaussian kernel density estimation

利用背景高斯核密度估计的运动目标检测方法

Infrared target extraction method based on kernel density estimation

基于核密度估计的红外目标提取方法

The Improved Model Based on Kernel Density Estimation for Dynamical Object Segmentation

基于核心密度估计的动态目标分割改进模型

New algorithm for moving object detection based on the triangle kernel density estimation model

基于三角核估计模型的运动目标检测方法

A Novel Moving Object Segmentation Algorithm Using Kernel Density Estimation and Edge Information

结合核密度估计和边缘信息的运动对象分割算法

A non parameter distribution estimation algorithm by kernel density estimation is proposed .

将核密度估计的方法引入到分布估计算法中，提出非参数型分布估计算法。

A square consistent of kernel density estimation for linear processes error

线性过程误差下概率密度函数核估计的均方相合性

New multivariable nonparametric kernel density estimation model and its application

一种快速非参数核密度模型及其应用

Application of Kernel Density Estimation under Transformation and Else

变换下核密度估计的应用及其它

Clustering Difference Image Kernel Density Estimation for Foreground Object Detection

聚类差分图像核密度估计前景目标检测

A bandwidth selection with recursive method for kernel density estimation and its application

核密度估计中递归方法选择窗宽及其应用

Small target tracking in forward looking infrared imagery based on kernel density estimation

基于核密度估计的前视红外小目标跟踪

This paper introduced the weighted kernel density estimation for flood frequency analysis and calculation .

本文引进加权核密度估计方法，研究洪水频率的分析计算；

A Kernel Density Estimation and Association Rule-based Medial Image Classification Algorithm

基于核密度估计聚类和关联规则的医学图像分类

Structure and Consistent of the Non Parametric Kernel Density Estimation

非参数估计中核估计的构造及相合性

The Application of Nonparametric Kernel Density Estimation in Report Card

非参数方法在考试成绩分布中的应用

Application of Kernel Density Estimation Theory to Establishment of Tree Height-diameter Curve

核密度估计在构造树高曲线中的应用

Methods Non-parameter kernel density estimation method was adopted .

方法采用非参数核密度估计推断方法。

Gaussian Kernel Density Estimation - based Background Modeling with Noise and Shadow Suppression

高斯核密度估计背景建模及噪声与阴影抑制

Kernel Density Estimation : the General Case

一般形式的密度估计

A Dynamic Analysis of the Economic Growth on the Provincial Level in China Based on Kernel Density Estimation Method

基于核密度估计法的中国省区经济增长动态分析

A new similarity measure using kernel density estimation based on difference matching point samples is defined .

定义了一种基于差值匹配点样本核密度估计的匹配基元相似性测度，在立体匹配应用中结合改进的置信度传播算法得到了理想的匹配结果。

A multimodal background model based on binning kernel density estimation

基于分箱核密度估计的非参数多模态背景模型

Regularized Kernel Density Estimation Algorithm Based on Sparse Bayesian Regression

基于稀疏贝叶斯回归的正则化核密度估计算法

Kernel Density Estimation for Dynamic Scene Modeling

一种核密度估计动态场景建模算法

Hierarchical Clustering based on Kernel Density Estimation

基于核密度估计的层次聚类算法

Load Modeling Utilizing Nonparametric and Multivariate Kernel Density Estimation in Bulk Power System Reliability Evaluation

电网可靠性评估的非参数多变量核密度估计负荷模型研究

So , nonparametric weighted kernel density estimation is an applied and valuable method .

因此，加权核密度估计是一种有应用和研究价值的方法。