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Towards deep clustering of human activities from wearables:
, In:
Proceedings of the 2020 ACM International Symposium on Wearable Computers
,
Abedin, Alireza
;
Motlagh, Farbod
;
Shi, Qinfeng
.. - p. 1-6 , 2020
Link:
https://dl.acm.org/doi/10.1145/3410531.3414312
RT T1 <cTitle>Proceedings of the 2020 ACM International Symposium on Wearable Computers</cTitle>: T1 <Title>Towards deep clustering of human activities from wearables</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3414312&Exemplar=1&LAN=DE A1 Abedin, Alireza A1 Motlagh, Farbod A1 Shi, Qinfeng A1 Rezatofighi, Hamid A1 Ranasinghe, Damith PB ACM YR 2020 K1 activity recognition K1 clustering K1 deep learning K1 wearable sensors K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 Human-centered computing K1 Ubiquitous and mobile computing K1 Ubiquitous and mobile computing theory, concepts and paradigms K1 Ubiquitous computing SP 1 OP 6 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3410531.3414312 DO https://dl.acm.org/doi/10.1145/3410531.3414312 SF ELIB - SuUB Bremen
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