outlier相关论文
Variational Quality Control of Non-Gaussian Innovations in the GRAPES m3DVAR System:Mass Field Evalu
The existence of outliers can seriously influence the analysis of variational data assimilation.Quality control allows u......
This paper proposes a source localization solution ro-bust to measurement outliers in time differences of arrivals (TDOA......
Estimating Fundamental matrix from corresponding points is an important problem in the field of computer vision. The ran......
从数据整体和宏观上给出了离群点的新的定义,并基于数据宏观模式定义了一种新的离群因子,该因子考虑了数据点偏离数据模式的程度和......
Nonparametric Robust Statistics and Outlier Reset CUSUM for the Exploration of Copy Number Alteratio
Copy number alteration(CNA)data have been collected to study disease related chro-mosomal amplifications and deletions....
To estimate the expected lifetime of tires on a car,we use the field experiment data which report the degradation depths......
单目位姿估计是计算机视觉中一个基础而重要的问题,在机器人定位、虚拟现实、图像精密测量等领域应用广泛。在实际应用中,参考点坐......
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Based on the multivariate mean-shift regression model,we propose a new sparse reduced-rank regression approach to achiev......
Variational Quality Control of Non-Gaussian Innovations in the GRAPES m3DVAR System: Mass Field Eval
The existence of outliers can seriously influence the analysis of variational data assimilation.Quality control allows u......
One key function of intelligent transportation systems is to automatically detect abnormal traffic phenomena and to help......
SeSaMe PS Function:Functional Analysis of the Whole Metagenome Sequencing Data of the Arbuscular Myc
In this study, we introduce a novel bioinformatics program, Spore-associated Symbiotic Microbes Position-specific Functi......
The separation of noisy image is a very exciting area of research, especially when no prior information is available abo......
A semantic session analysis method partitioning Web usage logs is presented. Semantic Web usage log preparation model en......
Community structure is an integral characteristic of real world networks whichever pro-cesses or areas they emerge from.......
A new method is proposed for identifying outliers in the direction-of-arrival(DOA)data of a source observed from a linea......
Wavelet transform was introduced to detect and eliminate outliers in time-frequency domain. The outlier rejection and mu......
A credible method of calculating the detection threshold is presented for the multiple target situations, which appear f......
Accelerated Matrix Recovery via Random Projection Based on Inexact Augmented Lagrange Multiplier Met
In this paper, a unified matrix recovery model was proposed for diverse corrupted matrices. Resulting from the separable......
本文提出了一种不依赖于对应点数据的三维运动参数估计算法,可以处理包含高以处理包含高斯噪声和出格点(outlier)的观察数据.首先,......
Fast and accurate extraction of vascular structures from medical images is fundamental for many clinical procedures. How......
To accelerate the training of support vector domain description(SVDD),confidence support vector domain description(CSVDD......
Assessing machine’s performance through comparing the same or similar machines is important to implement intelligent ma......
Outlier detection is a very useful technique in many applications, where data is generally uncertain and could be descri......
Large margin classifiers such as support vector machines (SVM) have been applied successfully in various classification ......
A novel outlier recognition method in surveying data is presented based on Shannon information entropy. The probability ......
Complex industrial processes often have multiple operating modes and present time-varying behavior. The data in one mode......
The model for improving the robustness of sparse principal component analysis(PCA)is proposed in this paper.Instead of t......
基于超高速撞击物理实验数据对蜂窝夹层板撞击极限方程进行修正是获得高可信度新方程的一种常用方法,为了提高物理实验数据的可靠......
该文从挂篮荷载计算、施工流程、支座及临时固结施工、挂篮安装及试验、合拢段施工、模板制作安装、钢筋安装、混凝土的浇筑及养生......
针对标准kalman滤波算法受测量野值和目标高度机动影响严重的缺点,提出一种新的基于残差变化特性分析的双假设kalman滤波算法。该......
提出了一种基于物方半全局优化的资源三号卫星影像数字表面模型(digital surface model,DSM)提取方法,将半全局优化策略和影像金字......
Analysis on structural changes in the macroeconomic data series with the empirical evidence from Chi
Analysis on structural changes in macroeconomic data series has been the key issue for studying data quality.This paper ......
本文对我国不同层次的货币供应动态过程进行建模研究,通过贝叶斯Gibbs抽样方法估计t分布先验设定下动态线性模型参数和状态变量后......
Positioning accuracy and reliability of GALILEO,integrated GPS-GALILEO system based on single positi
为探究吕家坨井田地质构造格局,根据钻孔勘探资料,采用分形理论和趋势面分析方法,研究了井田7......
针对单指数投资组合模型,用稳健的M估计去估计模型参数,减少了样本数据异常值对模型的影响,并对沪市权重股进行了实证检验,得到了......
The outlier detection and accommodation of integration navigation of strapdown inertial navigation systems and global po......
Positioning accuracy and reliability of GALILEO,integrated GPS-GALILEO system based on single positi
A kind of uniform reliability index suitable for the code and phase observations is presented and used in reliability ev......
研究了传统的异常点诊断与处理方法,分析了异常点产生的原因,提出了小概率事件异常点判别法,在3维编织复合材料弹道侵彻测试数据异......
在3维编织复合材料的弹道侵彻测试数据异常点检验中，将仿真数据作为试验数据的先验信息，采用Bayes 方法检验模型形式和参数：应用2步估......
Probabilistic outlier detection for sparse multivariate geotechnical site investigation data using B
Various uncertainties arising during acquisition process of geoscience data may result in anomalous data instances(i.e.,......
设备大型化不仅带来了运输和吊装上的困难,给设备制造也带来了更大的挑战。大型塔器制造过程中的质量控制应引起高度的重视,其圆度......
聚类分析是一种重要的数据挖掘方法，K-means算法是其中最常用的基于划分的方法。本文提出了一种基于初始均值点离散化的改进K-means......
针对划分聚类对初始值较为敏感以及层次聚类时间复杂度高等缺陷,提出了一种基于划分和层次的混合动态聚类算法HDC-PH。该算法首先......
作者运用线回归诊断的理论来研究异常点对逐步回归分析的影响。并给出了计算方法和公式。通过对实例的分析可以看出,个别异常点对......
针对时间序列问题,提出了一个变窗口神经网络集成预测模型。利用自相关分析方法挖掘时间序列本身蕴涵的变化特性,并利用这些变化特......
A new method to detect multiple outliers in multivariate data is proposed. It is a combination of minimum subsets, resam......
在数据挖掘中,对待数据集中的孤立点有两种策略:一种是将它们作为噪声而从数据集中清洗出去;另一种则将它们作为研究对象,称为孤立......
