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1
A Study on the energy-efficiency of the Object Tracking Alg..:
, In:
Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing
,
Di Fabrizio, Giacomo
;
Calisti, Lorenzo
;
Contoli, Chiara
.. - p. 1-6 , 2023
Link:
https://dl.acm.org/doi/10.1145/3603166.3632541
RT T1 <cTitle>Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing</cTitle>: T1 <Title>A Study on the energy-efficiency of the Object Tracking Algorithms in Edge Devices</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3632541&Exemplar=1&LAN=DE A1 Di Fabrizio, Giacomo A1 Calisti, Lorenzo A1 Contoli, Chiara A1 Kania, Nicholas A1 Lattanzi, Emanuele PB ACM YR 2023 K1 energy-efficiency K1 edge devices K1 object tracking K1 machine learning K1 Hardware K1 Power and energy K1 Power estimation and optimization K1 Computing methodologies K1 Artificial intelligence K1 Computer vision K1 Computer vision problems K1 Object detection K1 Machine learning K1 Learning paradigms K1 Supervised learning K1 Supervised learning by regression SP 1 OP 6 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3603166.3632541 DO https://dl.acm.org/doi/10.1145/3603166.3632541 SF ELIB - SuUB Bremen
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