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- mixture Gaussian distribution 混合高斯分布
- The gaussian distribution is the familiar bell-shaped curve. 高斯分布是常见的钟罩形曲线。
- The noise in Lidar signal is not of Gaussian distribution;(2). (2).;激光雷达信号分布的特点等先验知识无法利用。
- The original energy distribution of a laser beam is Gaussian distribution. 一般雷射光束之能量分布为高斯分布。
- The Normal Distribution Tutorial: A tutorial on the Normal or Gaussian distribution. 常态分布讲解:常态或高斯分布的讲解。
- The paper introduces several classical methods for vision-surveillance using adaptive background models,such as the non-parametric model,W4 models,single Gaussian model and mixture Gaussian model and so on. 介绍了在视觉监控领域经常用到的几种基于自适应背景模型的经典方法,如非参数模型、W4模型、单高斯模型和混合高斯模型等。
- Background modeling was based on mixture Gaussian model, which had strong adaptive capability for variety of external factors, such as illumination change, shadow, object shelter and etc. 采用混合高斯模型为码头背景建模,该模型可克服各种外部因素的影响,如光照变化、阴影、目标遮挡等,具有很强的适应能力。
- To improve the quality of motion segmentation, the background reconstruction and foreground mergence time control mechanism were incorporated into the adaptive mixture Gaussian background model. 对自适应混合高斯背景模型进行了改进,将背景重构和前景消融时间控制机制整合到传统自适应混合高斯背景模型中,以提高运动分割的质量。
- Besides, the comparison of Gaussian distribution and aggregation number distribution of toroids has been processed. 此外;还以高斯分布对复曲面的聚合数分布进行了模拟与比较.
- The current frame subtracts the warping background and filters some gauss noises by Gaussian distribution. 当前帧与校正后背景图像作差得到差分图像。
- Two basic hypothesizes about sources of non Gaussian distribution and statistically independence are used directly or indirectly in BSS. 在对ICA/BSS方法的评述中,指出串行ICA(基于非高斯性最大化的ICA)和并行ICA,都直接或间接地利用了两个基本假设:源信号的非高斯分布(串行ICA允许有一个源为高斯分布)以及源信号之间互相独立性。
- Discrete convolution is applied to verify that the result of repeated convolution of a distribution function will approach to Gaussian distribution. 以离散迴旋积验证任意分布函数之重覆迴旋积会随重覆次数之增加而趋于常态分布。
- The 2D computed temperature by using heat source model of double ellipsoidal Gaussian distribution gives best agreement with the measured value. 利用双椭圆热源分布的数值计算模型和实际检测二维温度场分布结果作为边界条件,获得了整个焊件更宽温度范围和三维温度场分布的在线模拟。
- A improved method using simple instrument to expand Gaussian distribution light field and get large-range homogeneous ideal light field was presented. 提出采用简单器件,将高斯分布光场经再扩展,获得大范围均匀的理想光场的方法;
- narrow-band mixture Gaussian noise 窄带混合高斯噪声
- mixture Gaussian background model 混合高斯背景模型
- However, price changes actually do not follow Gaussian distributions. 但是价格变得并不服从正态分布。
- The algorithm assumes that the LSF parameter has a GMM Gaussian distribution so that the LSF vector can be quantized using a random Gaussian distribution vector quantization. 假设LSF矢量属于GMM中的某一个G auss ian分布,用G auss ian分布随机矢量的量化方法对LSF矢量进行了量化。
- The evolving data streams in the experiments include KDD-CUP'99 and KDD-CUP'98 real data sets and synthetic data sets with changing Gaussian distribution. 实验采用KDD-CUP’99和KDD-CUP’98真实数据集以及变换高斯分布的人工数据集构造进化数据流.
- Using two kinds of different heat source models including Gaussian distribution and double-ellipsoid distribution,the differences of the computation results were compared. 分别采用高斯分布函数、双椭球分布函数两种不同的热源分布模型进行加载,比较两种热源模型下计算出的温度分布情况差异。