This paper proposed a method of adaptive kernel density estimation (KDE) for motion detection. To begin with, an approach for adaptive selecting thresholds of foreground and background was proposed. By using the two thresholds, the approach can overcome defects of using only one threshold. More ...
2 Adaptive kernel density estimation and variability bands Usefulness of varying (or local) bandwidths is widely acknowledged to estimate long-tailed or multi-modal density functions with kernel methods, when a fixed (or global) bandwidth approach may result in undersmoothing in areas with only ...
本科阶段开设模式识别课程,过几周有个实验,关于利用kernel density estimation做背景剪除的。老师布置了这篇文献的阅读任务,索性写个简短的笔记。 一、标题、摘要、结论 1、标题 文章标题是Efficient adaptive density estimation per image pixel for the task of background subtraction,即背景剪除任务下对每个照片像素...
1 establishes the new adaptive kernel density approximation method; in subsection 2. 文章采用自适应核密度估计和正交多项式拟合方法近似估算样本的概率密度函数,建立了基于自适应核密度估计、正交多项式拟合和扩展可靠性的全局灵敏度求解方法。4) Adaptive depth estimation 自适应深度估计5...
Ramanna CK, Dodagoudar GR (2012) Seismic hazard analysis using the adaptive kernel density estimation technique for Chennai city. Pure Appl Geophys 169:55-69Ramana C, Dogagoudar G (2012) Seismic hazard analysis using the adaptive Kernel density estimation technique for Chennai City. Pure Appl ...
A new method of kernel density estimation with a varying adaptive window size is proposed. It is based on the so-called intersection of confidence intervals (ICI) rule. Several examples of the proposed method are given for different types of densities and the quality of the adaptive density es...
Adaptive kernel density estimators use different bandwidths for different components, which make them an ideal choice for minimum distance estimation in mixture... Pilling,Mark - 《Journal of the Royal Statistical Society》 被引量: 8发表: 2016年 加载更多研究...
This paper reports the application of a new kernel density estimation model based on the Nadaraya-Watson estimator, for the problem of wind power uncertainty forecasting. The new model is described, including the use of kernels specific to the wind power
A promising alternative to the dominating solutions, kernel density estimation (KDE) and Gaussian mixture modeling, is adaptive KDE where kernels are given individual bandwidths adjusted to the local data density. Traditionally the bandwidths are selected by a non-linear transformation of a pilot pdf...
spatial big data(2017). A GPU-accelerated adaptive kernel density estimation approach for efficient point pattern analysis on spatial big data. International Journal of Geographical Information Science: Vol. 31, No. 10, pp. 2068-2097. doi: 10.1080/13658816.2017.1324975...