以非参数核密度估计方法拟合江苏稻谷的亩产量。
Then the rice yield in Jiangsu is fitted by nonparametric kernel density estimation method.
针对分布式数据流环境，提出基于核密度估计的分布数据流离群点检测算法。
This paper presents an algorithm for outlier detection in distributed data streams.
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。
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.
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。
This method USES kernel density estimation model to construct the approximate density function, and takes hill climbing strategy to extract clustering patterns.
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。
A new background model of non-parameter kernel density estimate was presented on the basis of abundant study on algorithms of moving object detection.
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。
Using this method, kernel function could be flexibly chosen to estimate sample point's density values according to different locating application scenes.
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。
A new fast algorithm was presented to accelerate the computation of mutual information of images based on kernel density estimate.
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。
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.
本文提出一种可选择的计量方法，将“物”和“人”的因素定向加权到人均gdp分布的核密度估计中。
This paper provides alternative method which puts the factors of substance and people weight into the measurement of city distribution of GDP per capita.
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 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.
应用非参数核密度估计方法，可以由样本直径结构很好地描述总体直径结构，而无需假定总体的直径分布。
The population diameter structure can well be described by using nonparametric kernel method based on the sample data without assuming the population diameter distribution.
实验结果表明该方法限制了非典型运动像素估计错误产生的噪声，并减少了核密度估计计算量，提高了算法的实时性。
Experimental results were given to demonstrate that the proposed algorithms are elimination of the typical non-movement noise point for estimated error and improving real-time capability.
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。
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.
核密度估计方法从数据样本本身出发研究数据分布特征，不利用有关数据分布的先验知识，避免了模型估计和参数估计的主观影响。
The kernel estimation method analyzes the data distribution by not using the prior knowledge of data distribution. This method avoids the impaction of model and parameters 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。
Infrared objects are represented by the intensity distribution, which is defined by the kernel-based 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。
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。
About multivariate statistical process, three methods are introduced: Principal Component Analysis, Partial Least Squares, Kernel Density Estimation.
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