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1 Ergebnisse
1
Federated Topology Preserving Domain Adaptation for Human A..:
, In:
2023 31st Signal Processing and Communications Applications Conference (SIU)
,
Bukit, Tori Andika
;
Pillado, Ericka Pamela Bermudez
;
Lee, Seok-Lyong
. - p. 1-4 , 2023
Link:
https://doi.org/10.1109/SIU59756.2023.10223939
RT T1 <cTitle>2023 31st Signal Processing and Communications Applications Conference (SIU)</cTitle>: T1 <Title>Federated Topology Preserving Domain Adaptation for Human Activity Recognition</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10223939&Exemplar=1&LAN=DE A1 Bukit, Tori Andika A1 Pillado, Ericka Pamela Bermudez A1 Lee, Seok-Lyong A1 Yahya, Bernardo Nugroho YR 2023 K1 Training K1 Manifolds K1 Adaptation models K1 Federated learning K1 Signal processing K1 Data models K1 Topology K1 federated learning K1 domain adaptation K1 topological data analysis K1 human activity recognition SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/SIU59756.2023.10223939 DO https://doi.org/10.1109/SIU59756.2023.10223939 SF ELIB - SuUB Bremen
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