Zobrazeno 1 - 10
of 46 875
pro vyhledávání: '"P, Maier"'
Numerical homogenization methods aim at providing appropriate coarse-scale approximations of solutions to (elliptic) partial differential equations that involve highly oscillatory coefficients. The localized orthogonal decomposition (LOD) method is a
Externí odkaz:
http://arxiv.org/abs/2411.14084
We study the use of cell resampling to reduce the fraction of negatively weighted Monte Carlo events in a generated sample typical of that used in experimental analyses. To this end, we apply the Cell Resampler to a set of $pp \rightarrow \gamma \gam
Externí odkaz:
http://arxiv.org/abs/2411.11651
Autor:
Gegenhuber, Gabriel K., Günther, Maximilian, Maier, Markus, Judmayer, Aljosha, Holzbauer, Florian, Frenzel, Philipp É., Ullrich, Johanna
With over 3 billion users globally, mobile instant messaging apps have become indispensable for both personal and professional communication. Besides plain messaging, many services implement additional features such as delivery and read receipts info
Externí odkaz:
http://arxiv.org/abs/2411.11194
Autor:
El-Zein, Benjamin, Eckert, Dominik, Weber, Thomas, Rohleder, Maximilian, Ritschl, Ludwig, Kappler, Steffen, Maier, Andreas
Collimator detection remains a challenging task in X-ray systems with unreliable or non-available information about the detectors position relative to the source. This paper presents a physically motivated image processing pipeline for simulating the
Externí odkaz:
http://arxiv.org/abs/2411.10308
Reservoir computing - information processing based on untrained recurrent neural networks with random connections - is expected to depend on the nonlinear properties of the neurons and the resulting oscillatory, chaotic, or fixpoint dynamics of the n
Externí odkaz:
http://arxiv.org/abs/2411.10047
Finite element methods typically require a high resolution to satisfactorily approximate micro and even macro patterns of an underlying physical model. This issue can be circumvented by appropriate numerical homogenization or multiscale strategies th
Externí odkaz:
http://arxiv.org/abs/2411.07576
Autor:
Buffat, Jim, Pato, Miguel, Alonso, Kevin, Auer, Stefan, Carmona, Emiliano, Maier, Stefan, Müller, Rupert, Rademske, Patrick, Rascher, Uwe, Scharr, Hanno
We provide the first method allowing to retrieve spaceborne SIF maps at 30 m ground resolution with a strong correlation ($r^2=0.6$) to high-quality airborne estimates of sun-induced fluorescence (SIF). SIF estimates can provide explanatory informati
Externí odkaz:
http://arxiv.org/abs/2411.08925
Autor:
Ulrich, Constantin, Wald, Tassilo, Tempus, Emily, Rokuss, Maximilian, Jaeger, Paul F., Maier-Hein, Klaus
Current interactive segmentation approaches, inspired by the success of META's Segment Anything model, have achieved notable advancements, however, they come with substantial limitations that hinder their practical application in real clinical scenar
Externí odkaz:
http://arxiv.org/abs/2411.07885
Autor:
Mayr, Martin, Krenz, Julian, Neumeier, Katharina, Bub, Anna, Bürcky, Simon, Brolich, Nina, Herbers, Klaus, Habermann, Mechthild, Fleischmann, Peter, Maier, Andreas, Christlein, Vincent
Most datasets in the field of document analysis utilize highly standardized labels, which, while simplifying specific tasks, often produce outputs that are not directly applicable to humanities research. In contrast, the Nuremberg Letterbooks dataset
Externí odkaz:
http://arxiv.org/abs/2411.07138
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
Autor:
Bassi, Pedro R. A. S., Li, Wenxuan, Tang, Yucheng, Isensee, Fabian, Wang, Zifu, Chen, Jieneng, Chou, Yu-Cheng, Kirchhoff, Yannick, Rokuss, Maximilian, Huang, Ziyan, Ye, Jin, He, Junjun, Wald, Tassilo, Ulrich, Constantin, Baumgartner, Michael, Roy, Saikat, Maier-Hein, Klaus H., Jaeger, Paul, Ye, Yiwen, Xie, Yutong, Zhang, Jianpeng, Chen, Ziyang, Xia, Yong, Xing, Zhaohu, Zhu, Lei, Sadegheih, Yousef, Bozorgpour, Afshin, Kumari, Pratibha, Azad, Reza, Merhof, Dorit, Shi, Pengcheng, Ma, Ting, Du, Yuxin, Bai, Fan, Huang, Tiejun, Zhao, Bo, Wang, Haonan, Li, Xiaomeng, Gu, Hanxue, Dong, Haoyu, Yang, Jichen, Mazurowski, Maciej A., Gupta, Saumya, Wu, Linshan, Zhuang, Jiaxin, Chen, Hao, Roth, Holger, Xu, Daguang, Blaschko, Matthew B., Decherchi, Sergio, Cavalli, Andrea, Yuille, Alan L., Zhou, Zongwei
How can we test AI performance? This question seems trivial, but it isn't. Standard benchmarks often have problems such as in-distribution and small-size test sets, oversimplified metrics, unfair comparisons, and short-term outcome pressure. As a con
Externí odkaz:
http://arxiv.org/abs/2411.03670