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Ontology-driven activity recognition from patterns of objec..:
, In:
Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers
,
Ihianle, Isibor Kennedy
;
Naeem, Usman
;
Islam, Syed
- p. 654-657 , 2017
Link:
https://dl.acm.org/doi/10.1145/3123024.3124424
RT T1 <cTitle>Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers</cTitle>: T1 <Title>Ontology-driven activity recognition from patterns of object use</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3124424&Exemplar=1&LAN=DE A1 Ihianle, Isibor Kennedy A1 Naeem, Usman A1 Islam, Syed PB ACM YR 2017 K1 activity recognition K1 latent dirichlet allocation K1 ontology model K1 topic model K1 Computing methodologies K1 Machine learning K1 Artificial intelligence K1 Knowledge representation and reasoning K1 Machine learning approaches K1 Rule learning SP 654 OP 657 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3123024.3124424 DO https://dl.acm.org/doi/10.1145/3123024.3124424 SF ELIB - SuUB Bremen
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