Zobrazeno 1 - 10
of 218
pro vyhledávání: '"Weichert, Frank"'
Autor:
Jedrusiak, Mikel D., Harweg, Thomas, Haselhoff, Timo, Lawrence, Bryce T., Moebus, Susanne, Weichert, Frank
Soundscapes have been studied by researchers from various disciplines, each with different perspectives, goals, approaches, and terminologies. Accordingly, depending on the field, the concept of a soundscape's components changes, consequently changin
Externí odkaz:
http://arxiv.org/abs/2310.13404
We present GNNAutoScale (GAS), a framework for scaling arbitrary message-passing GNNs to large graphs. GAS prunes entire sub-trees of the computation graph by utilizing historical embeddings from prior training iterations, leading to constant GPU mem
Externí odkaz:
http://arxiv.org/abs/2106.05609
Autor:
Linder, Roland, Weichert, Frank, Streng, Andreas, Groh, Andreas, Liese, Werner, Richards, Tereza, Diefenbach, Martin, Shamaa, Ali, Menzel-Dowling, Clare J., Wagner, Mathias
Publikováno v:
GMS Medizinische Informatik, Biometrie und Epidemiologie, Vol 2, Iss 3, p Doc18 (2006)
In the late 90s different options has been established for media supported learning, so-called e-learning. The underlying mechanisms provide an appropriate platform for a novel learning environment that might help the blind and severely visually impa
Externí odkaz:
https://doaj.org/article/53135ec3569d4e2d83611eefbed016c3
With the Corona Virus Disease 2019 (COVID-19) pandemic spreading across the world, protective measures for containing the virus are essential, especially as long as no vaccine or effective treatment is available. One important measure is the so-calle
Externí odkaz:
http://arxiv.org/abs/2007.04138
We present a hierarchical neural message passing architecture for learning on molecular graphs. Our model takes in two complementary graph representations: the raw molecular graph representation and its associated junction tree, where nodes represent
Externí odkaz:
http://arxiv.org/abs/2006.12179
This work presents a generative adversarial architecture for generating three-dimensional shapes based on signed distance representations. While the deep generation of shapes has been mostly tackled by voxel and surface point cloud approaches, our ge
Externí odkaz:
http://arxiv.org/abs/2002.00349
The cuneiform script constitutes one of the earliest systems of writing and is realized by wedge-shaped marks on clay tablets. A tremendous number of cuneiform tablets have already been discovered and are incrementally digitalized and made available
Externí odkaz:
http://arxiv.org/abs/1802.05908
We present Spline-based Convolutional Neural Networks (SplineCNNs), a variant of deep neural networks for irregular structured and geometric input, e.g., graphs or meshes. Our main contribution is a novel convolution operator based on B-splines, that
Externí odkaz:
http://arxiv.org/abs/1711.08920
Akademický článek
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Reading Direct-Part Marking Data Matrix Code in the Context of Polymer-Based Additive Manufacturing.
Autor:
Matuszczyk, Daniel1 (AUTHOR), Weichert, Frank1 (AUTHOR) frank.weichert@tu-dortmund.de
Publikováno v:
Sensors (14248220). Feb2023, Vol. 23 Issue 3, p1619. 12p.