The distributions are obtained by kernel estimation methods using a Gaussian kernel with the optimal bandwidth chosen using the method proposed in Silverman (1986).
西尔弗曼1986的研究提出的方法进行了最优宽度选择，进而通过高斯核心估计方法获得了这个分布。
The paper proposes a new method of adaptive smooth filter, based on that to design a Gaussian kernel adaptive smooth filter so as to suppress the random noise spread on the infrared image.
文章提出了一种新的自适应平滑滤波方法，并据此设计自适应高斯核平滑滤波来抑制红外图像中的随机噪声。
How do you implement a calculated Gaussian kernel?
你如何实现一个计算高斯内核？
This paper improves the adaptive Gaussian kernel (AGK), and presents a novel method for estimating parameters of AGK.
首先分析了自适应高斯核函数的局限性，并作了改进，同时给出了其参数估计方法。
According to the characteristic of SVDD, the proposed algorithm utilizes the non-Gaussian to measure how kernel samples approximate to a spherical area, and then optimize the kernel parameter.
该算法根据支持向量域数据描述本身的特点，利用非高斯性来测量核空间样本接近球形区域分布的程度，并根据此测量结果来优化核参数。
This paper presents a general data depth function with adaptive shape of deep contours based on Gaussian kernel function.
本文提出了一个具有自适应等深面的广义数据深度函数。
This paper presents a general data depth function with adaptive shape of deep contours based on Gaussian kernel function.
本文提出了一个具有自适应等深面的广义数据深度函数。
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