Selecting method of Kernel density and formula of smooth parameter are also discussed.
讨论核密度的选择方法和平滑参数的计算。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
How to use density kernel estimation for outlier detection?
如何使用密度核估计的孤立点检测？
The gingko core, shell and kernel could be separated by specific gravity separator according to the different density.
银杏核、仁和壳的密度有一定差异，用重力式清选机分离是可行的。
In this paper, based on NA samples, we will prove that recursive density kernel estimators are consistent inr-order mean, and the pointwise strong consistency under suitable conditions.
本文在一定的条件下证明了基于NA样本序列的递归型密度核估计的均方相合性和逐点强相合性。
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。
Using this method, kernel function could be flexibly chosen to estimate sample point's density values according to different locating application scenes.
推广后的定位方法，可根据具体的目标定位场合，灵活选择核函数对样本点进行核密度估计。
Infrared objects are represented by the intensity distribution, which is defined by the kernel-based density estimation.
红外目标的描述利用目标区域的灰度分布，该灰度分布通过核概率密度估计建立。
The number of ears per plant, the number of kernels per ear and 1000-kernel weight decreased as density increased. Grain yield and density showed a quadratic parabola relationship.
单株穗数、穗粒数和千粒重随密度增加而下降，籽粒产量与密度呈二次抛物线关系。
Density is negatively correlated with number of kernel per ear and 1 000 grain weight.
密度与穗粒数和千粒重均呈线性负相关。
Density is negatively correlated with number of kernel per ear and 1 000 grain weight.
密度与穗粒数和千粒重均呈线性负相关。
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