Zobrazeno 1 - 10
of 142
pro vyhledávání: '"Hongzhou TAN"'
Publikováno v:
物联网学报, Vol 5, Pp 46-53 (2021)
Aiming at the problem that the difference of node data distribution has adverse effect on the performance of federated learning algorithm, a node selection algorithm based on label quantity information was proposed.An optimization objective based on
Externí odkaz:
https://doaj.org/article/782f9ba5f6c44520a2eefcd83d88e902
Publikováno v:
IEEE Internet of Things Journal. 9:25253-25268
Publikováno v:
Machine Learning and Intelligent Communications ISBN: 9783031044083
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::788346e592946f87e098e0dd724b2ea7
https://doi.org/10.1007/978-3-031-04409-0_30
https://doi.org/10.1007/978-3-031-04409-0_30
Publikováno v:
2021 Computing, Communications and IoT Applications (ComComAp).
Publikováno v:
2021 Computing, Communications and IoT Applications (ComComAp).
Publikováno v:
PLoS ONE, Vol 10, Iss 10, p e0139098 (2015)
The localization of eye centers is a very useful cue for numerous applications like face recognition, facial expression recognition, and the early screening of neurological pathologies. Several methods relying on available light for accurate eye-cent
Externí odkaz:
https://doaj.org/article/e53b1d201d14497b9a167d6c80b0c4de
Publikováno v:
CISS
In this paper, we propose a practical low delay digital scheme for lossy transmission of a Gaussian source over Gaussian broadcast channel when there is correlated side information at the receivers. Focusing on two receivers scenario, a bit-filling c
Publikováno v:
Neurocomputing. 198:48-57
Data fitting and prediction are important in many domains. As computing power improves, artificial intelligence fitting methods such as the WASD (weights and structure-determination) neuronet become more operable. Although the WASD neuronet has been
Publikováno v:
2016 IEEE International Conference on RFID Technology & Applications (RFID-TA); 2016, p71-76, 6p
Publikováno v:
Proceedings of the 2017 International Seminar on Artificial Intelligence, Networking and Information Technology (ANIT 2017).