Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Runhao Jiang"'
Autor:
Guanghui Zhu, Lunan Liu, Yuzhou Mao, Xinjun Zhang, Yaoyao Guo, Lin Ai, Runhao Jiang, Chengming Qin, Wei Zhang, Hua Yang, Shuai Yuan, Lei Wang, Songqing Ju, Yongsheng Wang, Xuan Sun, Zhida Yang, Jinxin Wang, Yan Cheng, Hang Li, Jingting Luo
Publikováno v:
Nuclear Engineering and Technology, Vol 55, Iss 2, Pp 595-602 (2023)
The EAST ICRF system operating space has been extended in power and phase control with a low-level RF system for the new double-strap antenna. Then the multi-step power and periodic phase scanning experiment were conducted in L-mode plasma, respectiv
Externí odkaz:
https://doaj.org/article/e5a38d3bb82647759b0975bb756d550b
Publikováno v:
IEEE Computational Intelligence Magazine. 17:27-38
Publikováno v:
Neural Networks. 154:543-559
Event cameras sense changes in light intensity and record them as an asynchronous event stream. Efficiently encoding and learning spatiotemporal information of the event streams remain challenging. In this paper, we propose a novel event descriptor t
Publikováno v:
Neural Information Processing ISBN: 9783031301070
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c15fa0f46d74e971b7c050fc123d12e5
https://doi.org/10.1007/978-3-031-30108-7_5
https://doi.org/10.1007/978-3-031-30108-7_5
Publikováno v:
Neural Computation. 33:2439-2472
Learning new concepts rapidly from a few examples is an open issue in spike-based machine learning. This few-shot learning imposes substantial challenges to the current learning methodologies of spiking neuron networks (SNNs) due to the lack of task-
Publikováno v:
Proceedings of the 8th International Conference on Computing and Artificial Intelligence.
Publikováno v:
SSCI
Address event representation (AER) sensors, recording frameless event data, have recently attracted more attention due to the advantages of sparsed spatiotemporal representation. Spiking neural network (SNN) is a representative biologically plausible