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Towards zero-shot learning for human activity recognition using semantic attribute sequence model
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Authors:
Heng-Tze Cheng
Carnegie Mellon University, Pittsburgh, PA, USA
Martin Griss
Carnegie Mellon University, Pittsburgh, PA, USA
Paul Davis
Motorola Mobility, Libertyville, IL, USA
Jianguo Li
Motorola Mobility, Libertyville, IL, USA
Di You
Motorola Mobility, Libertyville, IL, USA
2013 Article
Short paper
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Published in:
· Proceeding
UbiComp '13
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
Pages 355-358
ACM
New York, NY
, USA
©2013
table of contents
ISBN: 978-1-4503-1770-2
doi>
10.1145/2493432.2493511
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Author Tags
activity recognition
classification and regression trees
embedded and cyber-physical systems
real-time systems
semantic attributes
supervised learning by classification
zero-shot learning
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