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Cristian Minoccheri, Olivia Alge, Jonathan Gryak, Kayvan Najarian and Harm Derksen
Over the past decades, there has been an increase of attention to adapting machine learning methods to fully exploit the higher order structure of tensorial data. One problem of great interest is tensor classification, and in particular the extension of ...
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Gérard Favier and Alain Kibangou
Nonlinear (NL) and multilinear (ML) systems play a fundamental role in engineering and science. Over the last two decades, active research has been carried out on exploiting the intrinsically multilinear structure of input?output signals and/or models in...
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Bingyu Xu, Shuquan Wang, Liping Zhao and Long Zhang
Obtaining the inertia tensors of defunct space objects is essential in on-orbit missions. When the inertia tensor of the space object is non-diagonal, the problem becomes challenging. In this case, the system does not have enough information to estimate ...
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Markos D. Tranos, Petros G. Neofotistos, Sotirios A. Kokkalas and Ghislain L. Tourigny
One of the most critical stages in fault-slip data stress analysis is separating the fault data into homogeneous subsets and selecting a suitable analysis method for each subset. A basic assumption in stress tensor computations is that fault activations ...
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Mitja ?trakl, Matja? Hriber?ek, Jana Wedel, Paul Steinmann and Jure Ravnik
In this paper, forces and torques on solid, non-spherical, orthotropic particles in Stokes flow are investigated by using a numerical approach on the basis of the Boundary Element Method. Different flow patterns around a particle are considered, taking i...
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Anurag Sharma, Bimlesh Kumar and Giuseppe Oliveto
This work experimentally investigates the turbulent flow characteristics of developing and fully-developed flows over a rough bed channel that is subjected to downward seepage. Instantaneous 3D velocities were collected using an acoustic Doppler velocime...
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Zijian Chao and Yongming Li
Nowadays, people?s lives are filled with a huge amount of picture information, and image retrieval tasks are widely needed. Deep hashing methods are extensively used to manage such demands due to their retrieval rate and memory consumption. The problem w...
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Mathias Højgaard Jensen, Sarang Joshi and Stefan Sommer
We present schemes for simulating Brownian bridges on complete and connected Lie groups and homogeneous spaces. We use this to construct an estimation scheme for recovering an unknown left- or right-invariant Riemannian metric on the Lie group from sampl...
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Diego Osorio Afanador,Francisco Velandia
Pág. 237 - 266
The Yariguíes Anticlinorium, a regional structure located at the western flank of the Eastern Cordillera of Colombia, includes the thickest record of continental sedimentary rocks accumulated near to the Jurassic-Cretaceous boundary. The sedimentary rock...
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Ali Muhamed Ali, Hanqi Zhuang, James VanZwieten, Ali K. Ibrahim and Laurent Chérubin
Despite the large efforts made by the ocean modeling community, such as the GODAE (Global Ocean Data Assimilation Experiment), which started in 1997 and was renamed as OceanPredict in 2019, the prediction of ocean currents has remained a challenge until ...
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