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Benchmarking deep classifiers on mobile devices for vision-..:

, In: Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers,

Richoz, Sebastien ; Perez-Uribe, Andres ; Birch, Philip. - p. 803-807 , 2019

Link: https://dl.acm.org/doi/10.1145/3341162.3344849

RT 
T1 <cTitle>Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers</cTitle>: T1 <Title>Benchmarking deep classifiers on mobile devices for vision-based transportation recognition</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3344849&Exemplar=1&LAN=DE
				
A1 Richoz, Sebastien
A1 Perez-Uribe, Andres
A1 Birch, Philip
A1 Roggen, Daniel
PB ACM
YR 2019
K1 deep learning
K1 embedded classifier
K1 embedded convolutional neural network
K1 human activity recognition
K1 smartphone characterization
K1 Computing methodologies
K1 Artificial intelligence
K1 Computer vision
K1 Computer vision tasks
K1 Activity recognition and understanding
K1 Software and its engineering
K1 Software creation and management
K1 Designing software
K1 Theory of computation
K1 Design and analysis of algorithms
K1 Mathematical optimization
K1 Discrete optimization
SP 803
OP 807
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3341162.3344849
DO https://dl.acm.org/doi/10.1145/3341162.3344849
SF ELIB - SuUB Bremen

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