Zobrazeno 1 - 10
of 466
pro vyhledávání: '"Dorndorf, A."'
Multi-task learning is central to many real-world applications. Unfortunately, obtaining labelled data for all tasks is time-consuming, challenging, and expensive. Active Learning (AL) can be used to reduce this burden. Existing techniques typically
Externí odkaz:
http://arxiv.org/abs/2211.11546
Whereas the ability of deep networks to produce useful predictions has been amply demonstrated, estimating the reliability of these predictions remains challenging. Sampling approaches such as MC-Dropout and Deep Ensembles have emerged as the most po
Externí odkaz:
http://arxiv.org/abs/2211.11435
Autor:
Dorndorf, Johanna johanna.dorndorf@liebmannschule.de
Publikováno v:
Praxis Sprache. Apr2023, Issue 2, p95-102. 8p.
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W13, Pp 1655-1662 (2019)
In recent years, the requirements in the industrial production of elongated objects, e.g., aircraft, have been increased. An essential aspect of the production process is the 3D object detection as well as the qualitative assessment of the captured d
Externí odkaz:
https://doaj.org/article/8c967419e3dc4b069aef61b241705692
Autor:
Grimm, Volker, Dorndorf, Norbert, Frey-Roos, Fredy, Wissel, Christian, Wyszomirski, Tomasz, Arnold, Walter
Publikováno v:
Oikos, 2003 Jul 01. 102(1), 124-136.
Externí odkaz:
https://www.jstor.org/stable/3547865
Publikováno v:
Management Science, 2000 Oct 01. 46(10), 1365-1384.
Externí odkaz:
https://www.jstor.org/stable/2661653
Nonconvex optimal control problems for large-scale networked control systems (NCSs) can be distributed to accelerate computation time. One distribution strategy is priority-based non-cooperative distributed model predictive control. The priorities as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad92ea62fd0dafa6c274e6cf4f57fce7
https://doi.org/10.36227/techrxiv.19932149.v3
https://doi.org/10.36227/techrxiv.19932149.v3
Autor:
Jens-André Paffenholz, Boris Kargoll, Hamza Alkhatib, Alexander Dorndorf, Mohammad Omidalizarandi
Publikováno v:
Journal of Applied Geodesy. 15:243-267
In this contribution, a vector-autoregressive (VAR) process with multivariate t-distributed random deviations is incorporated into the Gauss-Helmert model (GHM), resulting in an innovative adjustment model. This model is versatile since it allows for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a48dfa4127d0fdf4b87dab8c042c0af9
https://doi.org/10.1515/jag-2021-0013
https://doi.org/10.1515/jag-2021-0013
Increasing Feasibility with Priority Assignment in Distributed Trajectory Planning for Road Vehicles
Nonconvex optimal control problems for large-scale networked control systems (NCSs) can be distributed to accelerate computation time. One distribution strategy is priority-based non-cooperative distributed model predictive control. The priorities as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09ad02810bbe229266768463187e0096
https://doi.org/10.36227/techrxiv.19932149.v2
https://doi.org/10.36227/techrxiv.19932149.v2
Publikováno v:
Transportation Science, 2008 Aug 01. 42(3), 292-301.
Externí odkaz:
https://www.jstor.org/stable/25769404