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pro vyhledávání: '"Oliver Groth"'
Autor:
Pettersen, Oliver Groth
Publikováno v:
Pettersen, Oliver Groth. A Kantian Approach to Charitable Behavior. Master thesis, University of Oslo, 2021
Externí odkaz:
http://hdl.handle.net/10852/87428
https://www.duo.uio.no/bitstream/handle/10852/87428/14/Pettersen-Oliver-Groth.pdf
https://www.duo.uio.no/bitstream/handle/10852/87428/14/Pettersen-Oliver-Groth.pdf
Publikováno v:
ICRA
Visuomotor control (VMC) is an effective means of achieving basic manipulation tasks such as pushing or pick-and-place from raw images. Conditioning VMC on desired goal states is a promising way of achieving versatile skill primitives. However, commo
Publikováno v:
2019 British Machine Vision Conference (BMVC)
Publikováno v:
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Computer Vision – ECCV 2018
Computer Vision – ECCV 2018 ISBN: 9783030012458
ECCV (1)
Computer Vision – ECCV 2018-15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part I
Lecture Notes in Computer Science-Computer Vision – ECCV 2018
Computer Vision – ECCV 2018 ISBN: 9783030012458
ECCV (1)
Computer Vision – ECCV 2018-15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part I
Physical intuition is pivotal for intelligent agents to perform complex tasks. In this paper we investigate the passive acquisition of an intuitive understanding of physical principles as well as the active utilisation of this intuition in the contex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d71564c6da5b95c381cd7ba4144080b3
Publikováno v:
Energies, Vol 15, Iss 5, p 1700 (2022)
We provide an open, available, and ready-to-use data set covering 40 years of hourly wind speeds and synthetic hourly production signals for the 29 biggest offshore wind farms in Europe. It enables researchers and industry experts to include realisti
Externí odkaz:
https://doaj.org/article/8ebda48d65264bafb23efd8b2caf1000
Publikováno v:
Water, Vol 10, Iss 8, p 996 (2018)
Multivariate quantiles are of increasing importance in applications of hydrology. This calls for reliable methods to evaluate the precision of the estimated quantile sets. Therefore, we focus on two recently developed approaches to estimate confidenc
Externí odkaz:
https://doaj.org/article/3744d15422964d659108dde44160d638