kernel density function estimate 核密度函数估计
gaussian kernel density function 高斯核密度估计
kernel density function estimation 密度函数核估计
Kernel of density function 密度函数的核
The background samples are chosen by thresholding inter-frame differences, and the Gaussian kernel density estimation is used to estimate the probability density function of background intensity.
通过相隔固定的帧差值阅值化得到背景样本值，并采用高斯核密度估计方法计算背景灰度的概率密度函数。
This method USES kernel density estimation model to construct the approximate density function, and takes hill climbing strategy to extract clustering patterns.
该方法采用核密度估计模型来构造近似密度函数，利用爬山策略来提取聚类模式。
In this paper, a new kernel estimator of multivariate density is proposed by using a univariate kernel function.
本文提出了利用一维核函数构造多维密度函数一个新估计的方法。
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