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One-Take: Gathering Distributed Sensor Data Through Dominant Symbols for Fast Classification

 
dc.contributor.authorOostvogels, Jonathan
dc.contributor.authorMichiels, Sam
dc.contributor.authorHughes, Danny
dc.date.accessioned2022-11-15T10:46:00Z
dc.date.available2022-09-29T02:51:22Z
dc.date.available2022-11-15T10:46:00Z
dc.date.issued2022
dc.description.wosFundingTextThis research is partially funded by the Research Fund KU Leuven, Jonathan Oostvogels' PhD fellowship (11H7921N) from Research Foundation - Flanders (FWO), and the FWO LOCUSTS project (G019722N). The authors would like to thank their anonymous shepherd and reviewers for their valuable feedback.
dc.identifier.doi10.1109/IPSN54338.2022.00034
dc.identifier.eisbn978-1-6654-9624-7
dc.identifier.issnna
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/40521
dc.publisherIEEE COMPUTER SOC
dc.source.beginpage337
dc.source.conference21st ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)
dc.source.conferencedateMAY 04-06, 2022
dc.source.conferencelocationMilano, Italy
dc.source.endpage349
dc.source.journalna
dc.source.numberofpages13
dc.title

One-Take: Gathering Distributed Sensor Data Through Dominant Symbols for Fast Classification

dc.typeProceedings paper
dspace.entity.typePublication
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