Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Dongjingdian Liu"'
Publikováno v:
Sensors, Vol 21, Iss 3, p 950 (2021)
Deep learning technology has improved the performance of vision-based action recognition algorithms, but such methods require a large number of labeled training datasets, resulting in weak universality. To address this issue, this paper proposes a no
Externí odkaz:
https://doaj.org/article/228886bda6924c159ef018b7075c8ccb
Publikováno v:
Pattern Recognition Letters. 168:107-114
Autor:
Ying Chen, Shixiong Xia, Jiaqi Zhao, Yong Zhou, Qiang Niu, Rui Yao, Dongjun Zhu, Dongjingdian Liu
Publikováno v:
Pattern Recognition Letters. 157:90-96
Publikováno v:
Pattern Recognition. 137:109321
Publikováno v:
Sensors
Volume 21
Issue 3
Sensors, Vol 21, Iss 950, p 950 (2021)
Sensors (Basel, Switzerland)
Volume 21
Issue 3
Sensors, Vol 21, Iss 950, p 950 (2021)
Sensors (Basel, Switzerland)
Deep learning technology has improved the performance of vision-based action recognition algorithms, but such methods require a large number of labeled training datasets, resulting in weak universality. To address this issue, this paper proposes a no
Publikováno v:
Wireless Algorithms, Systems, and Applications ISBN: 9783030859275
WASA (1)
WASA (1)
Accurate mine localization has always been an urgent demand. With the widespread emergence of cheap wireless devices in our life, channel state information (CSI) based indoor localization has attracted people’s attention. In the existing CSI-based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73243d5ad30243a93e6430d8f72230ec
https://doi.org/10.1007/978-3-030-85928-2_21
https://doi.org/10.1007/978-3-030-85928-2_21