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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]

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。

However, accurate channel estimation robust to noise statistics characteristics with low implementation complexity is a challenging task for MIMO-OFDM doubly-selective wideband channels.

在衰落信道环境下,信道估计则是确保MIMO-OFDM能够有效实现的重要环节。

Kernel Method ; Clustering ; Fuzzy C -Means ; Possibilistic Clustering ; Robust Statistics

核方法;聚类;摸糊C-均值;可能性聚类;鲁棒统计

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. By analysing the parameters of the equation and designing the methods of module partitions, the numerical experiments reach a good result and the parallel efficiency has been improved remarkably with finite difference method.

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 using techniques from robust statistics, we obtain the approximations of the underlying surfaces. This leads to a conceptually good local patch with precise geometry properties, and as a result, the influence of noises is reduced. In addition, we also present a diffusion method to smooth the geometry properties, including principle curvatures and Frenet frame. The method ensures that the surfaces are smooth in the curvature space, and maintain the details, features and optimize the normals. The results show that, even in a high level noise situation, our algorithm can remove noise effectively, and at the same time keep the details of the model.

与传统的双边滤波去噪算法不同,该算法通过引入鲁棒统计理论获得模型表面较为准确的几何属性;进而在曲率空间中对包含主曲率和Frenet标架的表面几何属性进行各向异性的滤波,既有利于保持模型的细节,又能保证曲面的光滑性;与此同时,优化各个顶点的法向;最后在优化后的几何属性引导下,在几何空间中进行高阶双边滤波去噪。

In this paper,two nonlinear anisotropic diffusion filtering methods are presented and they are based on the multispectral anisotropic diffusion models proposed by Pope and Acton.We build a couple of new diffusion coefficients in partial derivative equation based on Tukey's biweight estimator error norm by recurring to the relationship between robust statistics and anisotropic diffusion incorporated with the nonlinear time-dependent cooling technique for gradient threshold.

在Pope和Acton提出的两个多光谱图像各向异性扩散滤波模型的基础上,通过各向异性扩散和稳健统计学的联系,建立了基于B iwe ight Estim ator误差模型的扩散系数,同时利用非线性退化技术对梯度阈值的改进,提出了两个基于各向异性扩散方程的非线性滤波方法。

The purpose of this study is to evaluate various data processing methods, including logarithmic transformation, robust statistics, excluding outliers and Box-Cox transformation for evaluating soil total P content with normal distribution. The result showed that Box-Cox transformation was applied in order to achieve normality in the data set and to dampen the effect of outliers. Geostatistical analyses were carried out, including calculation of experimental variograms and model fitting. The best theoretical model for semivariogram of soil total P were spherical model.

结果表明,Box-Cox转化成功地使数据集服从正态分布并消弱了异常值的影响,应用地统计学分析方法进行了实验变异函数的计算和最适合模型的拟合,得出土壤全磷最好的理论模型为球状模型,随后用普通克立格估值方法绘制了土壤全磷的空间分布图。

Secondly, robust statistics is introduced to handle the occlusion in computing observation likelihood, and affine transformation based similarity measurement is used to tackle the change of pose of target. 3. To track the fast target, we propose an improved particle filter based visual tracking method.

在两阶段增强粒子滤波跟踪阶段,利用卡尔曼滤波结合最新的观测对目标状态进行更新,通过观测似然的计算实现对目标进入、退出场景以及相互遮挡事件进行处理。

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