CASIA OpenIR

浏览/检索结果: 共6条,第1-6条 帮助

限定条件                    
已选(0)清除 条数/页:   排序方式:
基于特征融合注意网络的图像超分辨率重建 期刊论文
自动化学报, 2022, 卷号: 48, 期号: 9, 页码: 2233-2241
作者:  周登文;  马路遥;  田金月;  孙秀秀
Adobe PDF(8374Kb)  |  收藏  |  浏览/下载:49/23  |  提交时间:2024/05/20
单图像超分辨率  卷积神经网络  特征融合  注意网络  
Distributed Nash Equilibrium Seeking Over Random Graphs 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 12, 页码: 2193-2196
作者:  Ji Ma;  Jiayu Qiu;  Xiao Yu;  Weiyao Lan
Adobe PDF(526Kb)  |  收藏  |  浏览/下载:126/50  |  提交时间:2022/12/02
SSL-WAEIE: Self-Supervised Learning With Weighted Auto-Encoding and Information Exchange for Infrared and Visible Image Fusion 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 9, 页码: 1694-1697
作者:  Gucheng Zhang;  Rencan Nie;  Jinde Cao
Adobe PDF(1266Kb)  |  收藏  |  浏览/下载:138/46  |  提交时间:2022/08/19
Complex-Valued Neural Networks: A Comprehensive Survey 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 8, 页码: 1406-1426
作者:  ChiYan Lee;  Hideyuki Hasegawa;  Shangce Gao
Adobe PDF(1612Kb)  |  收藏  |  浏览/下载:233/54  |  提交时间:2022/08/01
Complex activation function  complex backpropagation algorithm  complex-valued learning algorithm  complex-valued neural network  deep learning  
Bipartite Formation Tracking for Multi-Agent Systems Using Fully Distributed Dynamic Edge-Event-Triggered Protocol 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 5, 页码: 847-853
作者:  Weihua Li;  Huaguang Zhang;  Yu Zhou;  Yingchun Wang
Adobe PDF(5292Kb)  |  收藏  |  浏览/下载:211/54  |  提交时间:2022/04/24
Bipartite control  dynamic edge-event-triggered control  formation tracking  multi-agent systems (MASs)  
Spatiotemporal Input Control: Leveraging Temporal Variation in Network Dynamics 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 4, 页码: 635-651
作者:  Yihan Lin, Jiawei Sun, Guoqi Li, Gaoxi Xiao, Changyun Wen, Lei Deng, H. Eugene Stanley
Adobe PDF(11820Kb)  |  收藏  |  浏览/下载:173/22  |  提交时间:2022/03/09
Complex network,complex system control theory,complex system optimization,temporal network,time-varying system