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1 Ergebnisse
1
Unsupervised Diffusion Model for Sensor-based Human Activit..:
, In:
Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing
,
Zuo, Si
;
Fortes, Vitor
;
Suh, Sungho
.. - p. 205 ff. , 2023
Link:
https://dl.acm.org/doi/10.1145/3594739.3610797
RT T1 <cTitle>Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing</cTitle>: T1 <Title>Unsupervised Diffusion Model for Sensor-based Human Activity Recognition</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3610797&Exemplar=1&LAN=DE A1 Zuo, Si A1 Fortes, Vitor A1 Suh, Sungho A1 Sigg, Stephan A1 Lukowicz, Paul PB ACM YR 2023 K1 Human activity recognition K1 Sensor data generation K1 Statistical feature-guided diffusion model K1 Unsupervised learning K1 Mathematics of computing K1 Probability and statistics K1 Statistical paradigms K1 Time series analysis K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Unsupervised learning SP 205 ff. LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3594739.3610797 DO https://dl.acm.org/doi/10.1145/3594739.3610797 SF ELIB - SuUB Bremen
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