• The first is kernel density estimation (KDE) detection based random walk ordering filter.

    第一种是基于核心密度估计检测的随机游走排序滤波器。

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  • Then the rice yield in Jiangsu is fitted by nonparametric kernel density estimation method.

    以非参数核密度估计方法拟合江苏稻谷的亩产量。

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  • A new fast algorithm was presented to accelerate the computation of mutual information of images based on kernel density estimate.

    针对基于核密度估计的图像互信息估计法运算量很大的问题,提出了一种快速互信息估计算法。

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  • A new background model of non-parameter kernel density estimate was presented on the basis of abundant study on algorithms of moving object detection.

    在充分研究现有运动目标检测算法的基础上,提出了一种新的非参数核密度估计背景模型。

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  • 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。

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  • The way of background modeling based on non-parametric kernel density algorithm has better results than other algorithm, and could model background for slow movement.

    与传统的背景建模方法相比,基于非参数核密度的背景建模方法具有更好的建模效果,更适应复杂场景的建模。

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  • The Gaussian kernel mean-shift algorithm which is deduced from kernel density estimation has not been widely employed in applications because of its low convergence rate.

    由核密度估计推导获得的高斯核均值漂移算法因收敛速度慢在应用中效率不高。

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  • Mean shift based image segmentation algorithm is a kind of kernel density estimation based feature space analysis algorithm, and the nature of it is statistical optimization.

    均值漂移算法是一种基于核密度梯度估计的特征空间分析算法,其实质是一种统计优化过程。

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  • This paper introduced the selection principle and method about a reasonable kernel function and bandwidth based on the nonparametric kernel density estimation and kernel regression estimation.

    本文基于非参数核密度估计与核回归估计的基础上,介绍了合理选取核函数及窗宽的原则和方法。

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  • 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。

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  • To satisfy the need of video moving object locating in intelligent video surveillance scenes, video moving object locating technology based on nonparametric kernel density estimation is proposed.

    针对智能视频监控场合对视频运动目标定位的需求,本文提出了一种基于非参数核密度估计的视频运动目标空域定位技术。

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  • About multivariate statistical process, three methods are introduced: Principal Component Analysis, Partial Least Squares, Kernel Density Estimation.

    多元统计过程介绍了三种主要的方法:主元分析法、偏最小二乘法和核函数概率密度估计法。

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  • About multivariate statistical process, three methods are introduced: Principal Component Analysis, Partial Least Squares, Kernel Density Estimation.

    多元统计过程介绍了三种主要的方法:主元分析法、偏最小二乘法和核函数概率密度估计法。

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