...像; 支持向量机; 高斯核函数; 广义高斯分布 [gap=1116]Keywords: high range resolution profile;SVM;Gaussian kernel function; generalized Gaussian distribution ...
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RVM using locality preserving kernel introduces intra-class similarity into Gaussian kernel function to keep the data set’s neighborhood structure, and is applied into SR.
在RVM模型所采用的高斯核函数中引入相似度因子，以保留数据局部结构，构成保局部核RVM模型。
参考来源 - 基于保局部核RVM的说话人识别方法·2,447,543篇论文数据，部分数据来源于NoteExpress
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。
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。
The function performs the downsampling step of the Gaussian pyramid construction. First, it convolves the source image with the kernel.
该函数执行高斯金字塔结构下采样的步骤。首先，它与内核的源图像进行卷积。
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