CASIA OpenIR

浏览/检索结果: 共79条,第1-10条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
A LiDAR Point Clouds Dataset of Ships in a Maritime Environment 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 7, 页码: 1681-1694
作者:  Qiuyu Zhang;  Lipeng Wang;  Hao Meng;  Wen Zhang;  Genghua Huang
Adobe PDF(10728Kb)  |  收藏  |  浏览/下载:17/8  |  提交时间:2024/06/07
3D point clouds dataset  dynamic tail wave  fog simulation  rainy simulation  simulated data  
Discovering Latent Variables for the Tasks With Confounders in Multi-Agent Reinforcement Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 7, 页码: 1591-1604
作者:  Kun Jiang;  Wenzhang Liu;  Yuanda Wang;  Lu Dong;  Changyin Sun
Adobe PDF(2128Kb)  |  收藏  |  浏览/下载:17/6  |  提交时间:2024/06/07
Latent variable model  maximum entropy  multi-agent reinforcement learning (MARL)  multi-agent system  
Nonlinear Filtering With Sample-Based Approximation Under Constrained Communication: Progress, Insights and Trends 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 7, 页码: 1539-1556
作者:  Weihao Song;  Zidong Wang;  Zhongkui Li;  Jianan Wang;  Qing-Long Han
Adobe PDF(1858Kb)  |  收藏  |  浏览/下载:14/6  |  提交时间:2024/06/07
Communication constraints  maximum correntropy filter  networked nonlinear filtering  particle filter  sample-based approximation  unscented Kalman filter  
A Local-Global Attention Fusion Framework with Tensor Decomposition for Medical Diagnosis 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1536-1538
作者:  Peishu Wu;  Han Li;  Liwei Hu;  Jirong Ge;  Nianyin Zeng
Adobe PDF(630Kb)  |  收藏  |  浏览/下载:28/11  |  提交时间:2024/05/22
Uncertainty-aware Deep Learning: A Promising Tool for Trustworthy Fault Diagnosis 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1317-1330
作者:  Jiaxin Ren;  Jingcheng Wen;  Zhibin Zhao;  Ruqiang Yan;  Xuefeng Chen;  Asoke K. Nandi
Adobe PDF(16165Kb)  |  收藏  |  浏览/下载:17/4  |  提交时间:2024/05/22
Out-of-distribution detection  traceability analysis  trustworthy fault diagnosis  uncertainty quantification  
Computational Experiments for Complex Social Systems: Integrated Design of Experiment System 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1175-1189
作者:  Xiao Xue;  Xiangning Yu;  Deyu Zhou;  Xiao Wang;  Chongke Bi;  Shufang Wang;  Fei-Yue Wang
Adobe PDF(11890Kb)  |  收藏  |  浏览/下载:42/5  |  提交时间:2024/04/10
Artificial society  computational experiments  model integration  operation engine  technology integration  
MAUN: Memory-Augmented Deep Unfolding Network for Hyperspectral Image Reconstruction 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1139-1150
作者:  Qian Hu;  Jiayi Ma;  Yuan Gao;  Junjun Jiang;  Yixuan Yuan
Adobe PDF(10937Kb)  |  收藏  |  浏览/下载:30/6  |  提交时间:2024/04/10
Compressive imaging  deep unfolding network hyperspectral image  
Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1106-1126
作者:  Wenqi Ren;  Yang Tang;  Qiyu Sun;  Chaoqiang Zhao;  Qing-Long Han
Adobe PDF(12695Kb)  |  收藏  |  浏览/下载:37/2  |  提交时间:2024/04/10
Computer vision  deep learning  few-shot learning  low-shot learning  semantic segmentation  zero-shot learning  
Computational Experiments for Complex Social Systems: Experiment Design and Generative Explanation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 1022-1038
作者:  Xiao Xue;  Deyu Zhou;  Xiangning Yu;  Gang Wang;  Juanjuan Li;  Xia Xie;  Lizhen Cui;  Fei-Yue Wang
Adobe PDF(7239Kb)  |  收藏  |  浏览/下载:53/12  |  提交时间:2024/03/18
Agent-based modeling  computational experiments  cyber-physical-social systems (CPSS)  generative deduction  generative experiments  meta model  
A Weakly-Supervised Crowd Density Estimation Method Based on Two-Stage Linear Feature Calibration 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 965-981
作者:  Yong-Chao Li;  Rui-Sheng Jia;  Ying-Xiang Hu;  Hong-Mei Sun
Adobe PDF(10448Kb)  |  收藏  |  浏览/下载:55/26  |  提交时间:2024/03/18
Crowd density estimation  linear feature calibration  vision transformer  weakly-supervision learning