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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
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Accelerated Matrix Recovery via Random Projection Based on Inexact Augmented Lagrange Multiplier Met
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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......
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Analysis on structural changes in the macroeconomic data series with the empirical evidence from Chi
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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
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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......