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pro vyhledávání: '"Camilleri, Michael P. J."'
Behavioural experiments often happen in specialised arenas, but this may confound the analysis. To address this issue, we provide tools to study mice in the home-cage environment, equipping biologists with the possibility to capture the temporal aspe
Externí odkaz:
http://arxiv.org/abs/2306.03066
Autor:
Camilleri, Michael P. J., Zhang, Li, Bains, Rasneer S., Zisserman, Andrew, Williams, Christopher K. I.
Publikováno v:
Machine Vision and Applications 34, 68 (2023)
Our objective is to locate and provide a unique identifier for each mouse in a cluttered home-cage environment through time, as a precursor to automated behaviour recognition for biological research. This is a very challenging problem due to (i) the
Externí odkaz:
http://arxiv.org/abs/2112.06809
In this paper we describe $Vja\dot{g}\dot{g}$, a battery-aware journey detection algorithm that executes on the mobile device. The algorithm can be embedded in the client app of the transport service provider or in a general purpose mobility data col
Externí odkaz:
http://arxiv.org/abs/1908.10725
Publikováno v:
in ECML PKDD 2019 Workshops, CCIS 1167, pp. 121 - 136, 2020
While label fusion from multiple noisy annotations is a well understood concept in data wrangling (tackled for example by the Dawid-Skene (DS) model), we consider the extended problem of carrying out learning when the labels themselves are not consis
Externí odkaz:
http://arxiv.org/abs/1906.01251
Publikováno v:
International Journal of Computer Vision; Dec2024, Vol. 132 Issue 12, p5491-5513, 23p
Autor:
Camilleri, Michael P. J.1 (AUTHOR) michael.p.camilleri@ed.ac.uk, Zhang, Li2 (AUTHOR), Bains, Rasneer S.3 (AUTHOR), Zisserman, Andrew4 (AUTHOR), Williams, Christopher K. I.1 (AUTHOR)
Publikováno v:
Machine Vision & Applications. Jul2023, Vol. 34 Issue 4, p1-20. 20p.
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