查询词典 gaussian algorithm

In the Gaussian sum filter-Kalman filter algorithm, the conditional linear state equation is first inserted into the measurement equation, which fuses the linear State process noise and the original measurement noise. And the GSF is applied to the new measurement and nonlinear state equations to estimate the nonlinear states. Then the estimations of the nonlinear states are inserted into the linear state equation and the original measurement equation to estimate the linear states by the KF.

算法将模型中的条件线性状态方程代入观测方程，并融合线性状态的过程噪声和观测噪声，再与非线性状态方程联立，由高斯和滤波器(Gaussian sum filter， GSF)获得非线性状态的估计；然后将估计值代入线性状态方程与观测方程，由卡尔受滤波器(Kalman Filter， KF)获得线性状态的估计。

In other words, localization can be performed based on a general scene. In this thesis, we adopt Spatial Gaussian Mixture Model in image segmentation to describe an image viewed by the robot in spatial domain without any artificial landmark. Secondly, we use a modified combination algorithm by Cyr and Kimia to combine similar data. It is found out that a monotonic relationship exists among the scene registered and its neighborhood in terms of distance. This phenomenon can be used to assist to localize the robot and this work demonstrate the feasibility by several experiments.

本论文中采用高斯混合模型(Gaussian Mixture Model， GMM)来描述空间中的场景，将场景概念化，这样任意的场景皆可以用高斯混合模型来表达，而无需加入大量的人工场景，接著将所获取的每个希望校正点的资料采用由修改后的Cyr and Kimia的结合演算法来减低及统合资料，当场景接近原本的当初建立的场景，经由最大可能性大体上会呈现单调的特色，将辅助机器人修正回原本的位置，以达到协助机器人定位的目标。

Because the EM algorithm for Gaussian mixtures plays such an important role, we summarize it below.

因为针对 Gaussian mixtures 的 EM 算法是很重要的，我们在下面总结它

This is a Gaussian algorithm source code, the University of infusion of the experimental course content to all of us to learn and master the numerical analysis of the Gaussian operator helpful!

详细说明：这是一个高斯算法的源代码，大学输注分析课的实验内容，对大家学习和掌握数值分析中的高斯运算很有帮助！

To deal with monocular vision robot localization problem, an EM-based Gaussian mixture particle localization algorithm is proposed.

针对单目视觉机器人的定位问题，提出了一种基于 EM（expectation maximization algorithm）的混合高斯粒子滤波定位算法。

Based on the platform of virtual instrument LabVIEW,this paper is to detect peaks of original signal respectively with power-weighted algorithm, Gaussian fitting algorithm, Gauss- polynomial fitting algorithm, a general polynomial fitting algorithm and Gaussian non-linear curve fitting algorithm, and compare their error means and standard deviations.

基于LabVIEW虚拟仪器开发平台，分析了功率加权算法、高斯拟合算法、高斯-多项式拟合算法、一般多项式拟合算法和高斯-非线性曲线拟合算法对原始信号寻峰，比较误差均值和标准偏差。

A new multi-target filtering algorithm, termed as the Gaussian sum probability hypothesis density filter, is proposed for nonlinear non-Gaussian tracking models.

针对非线性、非高斯的跟踪模型，提出了一种新的多目标跟踪滤波算法，称为高斯和概率假设密度(Gaussian sum probability hypothesis density，GSPHD)滤波器。

A generalized Gaussian Laplacian eigenmap algorithm based on geodesic distance is proposed,which incorporates geodesic distance and generalized Gaussian function into the original Laplacian eigenmap algorithm.GGLE algorithm can adjust the similarities between nodes of neighborhood graph,and can preserve the different degrees of local properties by using super-Gaussian function,Gaussian function or sub-Gaussian function.Moreover,GGLE can avoid the deficiency of Euclidean distance by using geodesic distance when neighborhoods of data points are enlarged for preserving more neighborhood relations.Experimental results show that the global low-dimensional coordinates obtained by GGLE have different clustering properties and different degrees of preserving local neighborhood structures when different generalized Gaussian functions are used to measuring the similarities between high-dimensional data points.(3) An ensemble-based discriminant algorithm based on GGLE is proposed.

该算法将测地线距离和广义高斯函数融合到传统的拉普拉斯特征映射算法中，可以调整近邻图结点间的相似度，通过选择超高斯、高斯或者次高斯函数来实现不同程度的近邻局部特性的保持；而且当需要保持更多的近邻关系使得数据点邻域增大时，采用测地线距离可以避免欧氏距离度量不合理的缺陷；实验结果表明在用不同的广义高斯函数度量高维数据点间的相似度时，局部近邻结构保持的程度是不同的，GGLE获得的全局低维坐标也呈现出不同的聚类特性。

In this paper, an adaptive algorithm for singular points detection is proposed, which is based on the behavior of Gaussian-Hermite moments. In order to detect singular point accurately, the distribution of Gaussian-Hermite moments of different orders of the fingerprint image in multiple scales is used.

介绍了一种基于Gaussian-Hermite矩分布属性的自适应指纹奇异点定位方法，为了准确地确定奇异点，用到了指纹图像在多种尺度下的不同阶Gaussian-Hermite矩分布，并用一种基于主分量分析(principalcomponentanalysis，简称PCA)的方法分析指纹图像的Gaussian-Hermite矩分布。

In this paper, an adaptive algorithm for singular points detection is proposed, which is based on the behavior of Gaussian-Hermite moments. In order to detect singular point accurately, the distribution of Gaussian-Hermite moments of different orders of the fingerprint image in multiple scales is used. A PCA-based method is used to analyze the distribution of Gaussian-Hermite of fingerprint image.

介绍了一种基于Gaussian-Hermite矩分布属性的自适应指纹奇异点定位方法，为了准确地确定奇异点，用到了指纹图像在多种尺度下的不同阶Gaussian-Hermite矩分布，并用一种基于主分量分析(principal component analysis，简称PCA)的方法分析指纹图像的Gaussian-Hermite矩分布。

The labia have now been sutured together almost completely.The drains and the Foley catheter come out at the top.

此刻阴唇已经几乎完全的缝在一起了，排除多余淤血体液的管子和Foley导管从顶端冒出来。

To get the business done, I suggest we split the difference in price.

为了做成这笔生意，我建议我们在价格上大家各让一半。