Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Hanchen Xie"'
Publikováno v:
Aerospace, Vol 11, Iss 11, p 878 (2024)
In response to the challenges associated with forecasting the trajectory of flight delay propagation, pinpointing pivotal nodes within the route network, and the substantial costs involved in enhancing operational efficiency, this study introduces an
Externí odkaz:
https://doaj.org/article/20ecc0d42663426c9ec207451f5619a6
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031250620
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::737c03b58cdb9fda33e7aac0f27ad35b
https://doi.org/10.1007/978-3-031-25063-7_5
https://doi.org/10.1007/978-3-031-25063-7_5
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031250842
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3cada0a1199bc58d9e4ed3fd57f718f
https://doi.org/10.1007/978-3-031-25085-9_22
https://doi.org/10.1007/978-3-031-25085-9_22
Few-shot Learning has been studied to mimic human visual capabilities and learn effective models without the need of exhaustive human annotation. Even though the idea of meta-learning for adaptation has dominated the few-shot learning methods, how to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71a73db2c4ecf3fa10cf66fc2a6a58df
Publikováno v:
WACV
Deep neural networks are powerful, massively parameterized machine learning models that have been shown to perform well in supervised learning tasks. However, very large amounts of labeled data are usually needed to train deep neural networks. Severa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a670da0efa346139a881ac4b96b5b5ae
https://doi.org/10.1109/wacv48630.2021.00263
https://doi.org/10.1109/wacv48630.2021.00263