Zobrazeno 1 - 10
of 82
pro vyhledávání: '"Stadelmann, Thilo"'
Autor:
Sager, Pascal J., Deriu, Jan M., Grewe, Benjamin F., Stadelmann, Thilo, von der Malsburg, Christoph
We present a novel intelligent-system architecture called "Dynamic Net Architecture" (DNA) that relies on recurrence-stabilized networks and discuss it in application to vision. Our architecture models a (cerebral cortical) area wherein elementary fe
Externí odkaz:
http://arxiv.org/abs/2407.05650
Autor:
Schmitt-Koopmann, Felix M., Huang, Elaine M., Hutter, Hans-Peter, Stadelmann, Thilo, Darvishy, Alireza
Publikováno v:
IEEE Access 12 (2024) 76963-76974
Printed mathematical expression recognition (MER) models are usually trained and tested using LaTeX-generated mathematical expressions (MEs) as input and the LaTeX source code as ground truth. As the same ME can be generated by various different LaTe
Externí odkaz:
http://arxiv.org/abs/2404.13667
Humans and animals recognize objects irrespective of the beholder's point of view, which may drastically change their appearances. Artificial pattern recognizers also strive to achieve this, e.g., through translational invariance in convolutional neu
Externí odkaz:
http://arxiv.org/abs/2311.08525
Publikováno v:
Pattern Recognition Letters 181, 2024
While deep neural networks have shown impressive results in automatic speaker recognition and related tasks, it is dissatisfactory how little is understood about what exactly is responsible for these results. Part of the success has been attributed i
Externí odkaz:
http://arxiv.org/abs/2311.00489
Autor:
Seiler, Dominik, Ewerth, Ralph, Heinz, Steffen, Stadelmann, Thilo, Mühling, Markus, Freisleben, Bernd, Grauer, Manfred
Publikováno v:
Klaus Meißner & Martin Engelien (Hrsg.), GeNeMe '09: Gemeinschaften in Neuen Medien, TU Dresden, 01./02.10.2009, Dresden: TUDpress, ISBN: 978-3-941298-29-3. :79-89
Innerhalb des von der DFG (SFB/FK 615) geförderten Projektes „Methoden und Werkzeuge zur rechnergestützten medienwissenschaftlichen Analyse“ werden Verfahren und Werkzeuge entwickelt, die Medienwissenschaftler bei der Analyse von audiovisuellen
Autor:
Yan, Peng, Abdulkadir, Ahmed, Luley, Paul-Philipp, Rosenthal, Matthias, Schatte, Gerrit A., Grewe, Benjamin F., Stadelmann, Thilo
Publikováno v:
IEEE Acess 12 (2024) 3768-3789
Automating the monitoring of industrial processes has the potential to enhance efficiency and optimize quality by promptly detecting abnormal events and thus facilitating timely interventions. Deep learning, with its capacity to discern non-trivial p
Externí odkaz:
http://arxiv.org/abs/2307.05638
Autor:
Emberger, Raphael, Boss, Jens Michael, Baumann, Daniel, Seric, Marko, Huo, Shufan, Tuggener, Lukas, Keller, Emanuela, Stadelmann, Thilo
Patient monitoring in intensive care units, although assisted by biosensors, needs continuous supervision of staff. To reduce the burden on staff members, IT infrastructures are built to record monitoring data and develop clinical decision support sy
Externí odkaz:
http://arxiv.org/abs/2306.14620
Publikováno v:
8th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition 8th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR 2018)
The existence of adversarial attacks on convolutional neural networks (CNN) questions the fitness of such models for serious applications. The attacks manipulate an input image such that misclassification is evoked while still looking normal to a hum
Externí odkaz:
http://arxiv.org/abs/2208.11436
Autor:
Amirian, Mohammadreza, Montoya-Zegarra, Javier A., Gruss, Jonathan, Stebler, Yves D., Bozkir, Ahmet Selman, Calandri, Marco, Schwenker, Friedhelm, Stadelmann, Thilo
Publikováno v:
IEEE EMBS Regional Conference on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI 2021)
With the spread of COVID-19 over the world, the need arose for fast and precise automatic triage mechanisms to decelerate the spread of the disease by reducing human efforts e.g. for image-based diagnosis. Although the literature has shown promising
Externí odkaz:
http://arxiv.org/abs/2208.09408
Introduction: In contrast to current AI technology, natural intelligence -- the kind of autonomous intelligence that is realized in the brains of animals and humans to attain in their natural environment goals defined by a repertoire of innate behavi
Externí odkaz:
http://arxiv.org/abs/2205.00002