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Transition-points-based Segmentation and Hierarchical Class..:
, In:
Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers
,
Le, Nhat Tan
;
Nahid, Nazmun
;
Inoue, Sozo
- p. 374-379 , 2021
Link:
https://dl.acm.org/doi/10.1145/3460418.3479380
RT T1 <cTitle>Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers</cTitle>: T1 <Title>Transition-points-based Segmentation and Hierarchical Classification for Locomotion and Transportation recognition on Radio-data</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3479380&Exemplar=1&LAN=DE A1 Le, Nhat Tan A1 Nahid, Nazmun A1 Inoue, Sozo PB ACM YR 2021 K1 SHL dataset K1 hierarchical classification K1 radio-data K1 transition points based segmentation SP 374 OP 379 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3460418.3479380 DO https://dl.acm.org/doi/10.1145/3460418.3479380 SF ELIB - SuUB Bremen
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