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- Methods Non-parameter kernel density estimation method was adopted. 方法采用非参数核密度估计推断方法。
- A new stereo matching method based on Kernel Density Estimation(KDE) similarity is proposed. 提出了一种基于核密度估计相似性测度的立体匹配方法。
- As the most effective and powerful nonparametric density estimation technique,Kernel Density Estimation（KDE） has been widely analyzed. 摘要 作为当前最先进有效的密度估计算法,核密度估计（KDE）得到了广泛的研究。
- This paper proposes a novel moving object segmentation algorithm based on kernel density estimation and edge information to solve the color similarity problem between foreground and background. 摘要针对前景与背景具有相似颜色时的运动对象分割问题，提出一种结合核密度估计和边缘信息的分割算法。
- parzen kernel density estimation Parzen核估计
- weighted kernel density estimation 加权核密度估计
- weighted kernel density estimation (WKDE) 加权核估计技术（WKDE）
- non-parametric kernel density estimation 非参数核密度估计
- nonparameteric kernel density estimation 非参数核密度估计
- nonparametric kernel density estimation 非参数核密度估计
- The binned kernel density estimators were exploited to estimate the probability density function of background intensity in training sequence. 该模型采用分箱核密度估计算法从训练图像序列中得到背景的密度函数。
- Met hods To analyze nasopharyngeal carcinoma death data of Guangdong province Sihui city based on kernel density estimate. 方法利用核密度估计模型,对广东省四会市鼻咽癌死亡资料进行处理。
- This thesis is devoted to the study of large deviations for kernel density estimator for certain stochastic processes, especially in the dependent case. 本篇博士论文主要研究随机过程的核密度估计的大偏差,尤其是对相依随机过程,主要结果是首次把独立同分布情形下的大偏差结果推广到了相依情形。
- Conclusion Kernel density estimate could be used not only for quantitating the spatial distribution of disease,but also for a nalysis of risk factor of disease. 结论核估计方法可以准确定量刻画疾病空间分布特点,有利于进一步对疾病的危险因素研究。
- A square consistent of kernel density estimation for linear processes error 线性过程误差下概率密度函数核估计的均方相合性
- The Application of Nonparametric Kernel Density Estimation in Report Card 非参数方法在考试成绩分布中的应用
- Diversity Sampling Based Kernel Density Estimation for Background Modeling 基于核密度估计多样性采集的背景建模算法
- A multimodal background model based on binning kernel density estimation 基于分箱核密度估计的非参数多模态背景模型
- On convergence in Lr norm of nonparametric kernel density estimate 非参数核密度估计的Lr收敛
- A Kernel Density Estimation and Association Rule- based Medial Image Classification Algorithm 基于核密度估计聚类和关联规则的医学图像分类
