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robust statistics相关的网络例句

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与 robust statistics 相关的网络例句 [注:此内容来源于网络,仅供参考]

First, a features-preserving filtering algorithm for point set surface and surface attributes is developed,which is based on robust statistics.

首先是把鲁棒统计理论应用在了对点采样曲面保护特征的滤波中,并扩展该算法到定义在曲面上的函数的滤波中。

The Robust statistics is combined with Geostatistics to study the spatial variability of water and salinity in soil.

将稳健统计学引入地质统计学,研究土壤水盐特性空间变异。

Improve the traditional correlation matching method by robust statistics and affine transformation.

基于鲁棒统计原理和仿射变换,对传统的相关匹配跟踪算法作出了改进。

In this paper, we present a class of equation model for image denoising and edge enhancement. The model is based on robust statistics error norm and variational theory.

本文基于稳健统计误差模函数及变分原理构造了一类用于图像去噪、增强边缘的方程模型,对相关参数进行了分析,设计了该方程有限差分数值求解的并行算法,并对分块模型及实现过程进行改进,提高了并行效率,在此基础上完成了并行数值实验,并对结果就误差模选取、并行效率等方面进行了分析。

By uisng robust statistics,the uncertainty calculation and proficiency testing are made.

介绍稳健统计基础,分析稳健统计性质,并将稳健统计应用于实验室不确定度计算和实验室能力验证

While the mathematical techniques used by SISR are similar to robust statistics, SISR's exploitation of the snap-in effect in localization appears to be novel.

SISR 的数学方法与统计学方法类似, SISR 在选取有效性节点对于定位精度的提高是新奇的。

To get over the drawback of the traditional experimental variogram function calculating and fitting methods, based on the theory of robust statistics, this paper presents a calculation method of three demensional variogram function.

针对传统变异函数计算及拟合方法的缺陷,运用稳健统计学理论,讨论了三维情况下实验变异函数的计算以及拟合方法。

The purpose of Robust Statistics is to overcome the difficulty of the traditional statistical methods when the actual data strongly deviate from the assumption.

稳健统计学旨在克服当数据显著偏离假设时传统统计学所面临的一些困难。

Anisotropic diffusion ; bilateral filtering ; robust statistics

各向异性扩散;双边滤波;稳健统计

Because of the sampling processing, we can take the simple concave domain analysis and ICM optimization in two different levels, so as to make both the parameter estimation and optimization much easier to implement, while delivering a satisfactory result; The third one is based on the multi-resolution analysis, robust statistics and majority game theory. 4. Propose a new clustering algorithm based on the entropy concept, which is used for unsupervised segmentation of color images.

重点讨论非监督的图象分割问题,并给出了三种新方法:一是基于贝叶斯学习和全局竞争策略的方法,把参数估计和图象分割有机地结合在一起;二是基于分层的框架,从抽样定理出发,在两个不同的层次上使用简单的凹域分析和ICM优化,可以使得参数估计和优化问题都变得简单易行,并得到满意的结果;三是基于多级分析、鲁棒统计的参数估计和多数博弈论的优化算法。

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