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Natural and engineered systems that consist of ensembles of isolated or interacting dynamical components exhibit levels of complexity that are beyond human comprehension. These complex systems often r...
This paper describes the development of an artistic visualization project that restores the architectural history of the world famous wood churches and architectural museum, Kizhi. Kizhi is the archit...
The basis of the photogrammetric reconstruction of the altar at the monastery / church are 2 historic photos from around 1920’s as well as a 3D documentation of the church from terrestrial laser scan...
Uncertainty in spatial and temporal distribution of rainfall in regional crop yield simulations comprises a major fraction of the error on crop model simulation results. In this paper we used an Ens...
Change Detection (CD) methods based on post-classification comparison approaches are claimed to provide potentially reliable results. They are considered to be most obvious quantitative method in the ...
As an active remote sensing instrument, lidar provides a high spatial resolution vertical profile of aerosol optical properties. But the effective range and data reliability are often limited by vario...
The key generation rate for quantum key distribution systems that rely on quantum repeaters with atomic-ensemble memories is obtained. We find the cross-over distances at which quantum repeaters outpe...
There has been many methods in constructing neural network (NN) ensembles, where the method of simultaneous training has succeed in generalization performance and efficiency. But just like regular met...
Application of the ensemble Kalman filter (EnKF) to reservoir characterization has the limitation that the observed watercut data cannot be reflected for tuning model variables in some time intervals....
The application of the ensemble Kalman filter (EnKF) using function transformation to the estimation of relative permeability is presented. Inconsistent values may be calculated in the filtering proce...
针对在维护数据挖掘模型过程中须反复计算数据集、效率较低的问题,基于Ensembles学习思想,研究增量数据集的弱分类器生成方法,根据增量数据集分类器之间的相异度提出新的组合分类算法,分析组合分类器的出错率。实验结果表明,该分类方法是有效的。
In the literature of psychophysics and neurophysiology, many studies have shown that both global and local features are crucial for face representation and recognition. This paper proposes a novel fac...
3D object extraction is one of the main interests and has lots of applications in photogrammetry and computer vision. In recent years, airborne laser-scanning has been accepted as an effective 3D da...
In the literature of psychophysics and neurophysiology,many studies have shown that both global and local features are crucial for face representation and recognition. This paper proposes a novel fac...

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