Zobrazeno 1 - 2
of 2
pro vyhledávání: '"L. A. Hérnandez-Gómez"'
Autor:
V. V. Danilov, O. M. Gerget, D. Y. Kolpashchikov, N. V. Laptev, R. A. Manakov, L. A. Hérnandez-Gómez, F. Alvarez, M. J. Ledesma-Carbayo
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIV-2-W1-2021, Pp 33-40 (2021)
In the era of data-driven machine learning algorithms, data represents a new oil. The application of machine learning algorithms shows they need large heterogeneous datasets that crucially are correctly labeled. However, data collection and its label
Externí odkaz:
https://doaj.org/article/4b26b9e07661492989505383c5c98f5a
Autor:
N. V. Laptev, Olga Gerget, L. A. Hérnandez-Gómez, V. V. Danilov, R. A. Manakov, Dmitrii Yu. Kolpashchikov, M. J. Ledesma-Carbayo, F. Alvarez
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIV-2-W1-2021, Pp 33-40 (2021)
Scopus-Elsevier
Scopus-Elsevier
In the era of data-driven machine learning algorithms, data represents a new oil. The application of machine learning algorithms shows they need large heterogeneous datasets that crucially are correctly labeled. However, data collection and its label
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51fec3bb6a1f778fd1b88cecc83f8638
https://doi.org/10.5194/isprs-archives-xliv-2-w1-2021-33-2021
https://doi.org/10.5194/isprs-archives-xliv-2-w1-2021-33-2021