Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Michal Marcinkiewicz"'
Publikováno v:
IEEE Access, Vol 8, Pp 42384-42403 (2020)
Hyperspectral imaging has become a mature technology which brings exciting possibilities in various domains, including satellite image analysis. However, the high dimensionality and volume of such imagery is a serious problem which needs to be faced
Externí odkaz:
https://doaj.org/article/40cb861e094541fb81e44ece01f5bfe7
Publikováno v:
Frontiers in Computational Neuroscience, Vol 13 (2019)
Data augmentation is a popular technique which helps improve generalization capabilities of deep neural networks, and can be perceived as implicit regularization. It plays a pivotal role in scenarios in which the amount of high-quality ground-truth d
Externí odkaz:
https://doaj.org/article/ed1dfbe08c484d6388e43784b82a728d
Autor:
Maksim S. Zholudev, Aleksandr M. Kadykov, Mikhail A. Fadeev, Michal Marcinkiewicz, Sandra Ruffenach, Christophe Consejo, Wojciech Knap, Jeremie Torres, Sergey V. Morozov, Vladimir I. Gavrilenko, Nikolay N. Mikhailov, Sergey A. Dvoretskii, Frederic Teppe
Publikováno v:
Condensed Matter, Vol 4, Iss 1, p 27 (2019)
We report on the comparison between temperature-dependent magneto-absorption and magnetotransport spectroscopy of HgTe/CdHgTe quantum wells in terms of the detection of the phase transition between the topological insulator and band insulator states.
Externí odkaz:
https://doaj.org/article/0ee454ae5c244e5fae33741b7b908a58
Publikováno v:
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries ISBN: 9783031089985
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f80b55fa1e0a4e2d84a6099a7d9fb987
https://doi.org/10.1007/978-3-031-08999-2_31
https://doi.org/10.1007/978-3-031-08999-2_31
