中文版 | English

在结果中检索

CASIA OpenIR
（本次检索基于用户作品认领结果）

浏览/检索结果: 共5条，第1-5条 帮助

限定条件            
已选(0)清除 条数/页：   排序方式：
Point Cloud Classification Using Content-Based Transformer via Clustering in Feature Space 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 231-239
作者:  Yahui Liu;  Bin Tian;  Yisheng Lv;  Lingxi Li;  Fei-Yue Wang
Adobe PDF(8541Kb)  |  收藏  |  浏览/下载：284/169  |  提交时间：2024/01/02
Content-based Transformer  deep learning  feature aggregator  local attention  point cloud classification  
Parallel reinforcement learning: a framework and case study 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2018, 卷号: 5, 期号: 4, 页码: 827-835
作者:  Teng Liu;  Bin TIan;  Yunfeng Ai;  Li Li;  Dongpu Cao;  Feiyue Wang
Adobe PDF(7005Kb)  |  收藏  |  浏览/下载：70/17  |  提交时间：2023/05/05
FII-CenterNet: An Anchor-Free Detector With Foreground Attention for Traffic Object Detection 期刊论文
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 卷号: 70, 期号: 1, 页码: 121-132
作者:  Fan, Siqi;  Zhu, Fenghua;  Chen, Shichao;  Zhang, Hui;  Tian, Bin;  Lv, Yisheng;  Wang, Fei-Yue
Adobe PDF(7159Kb)  |  收藏  |  浏览/下载：272/40  |  提交时间：2021/03/29
Object detection  Anchor-free detector  Foreground region proposal  
Parallel Reinforcement Learning-Based Energy Efficiency Improvement for a Cyber-Physical System 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 2, 页码: 617-626
作者:  Teng Liu;  Bin Tian;  Yunfeng Ai;  Fei-Yue Wang
Adobe PDF(5813Kb)  |  收藏  |  浏览/下载：234/65  |  提交时间：2021/03/11
Bidirectional long short-term memory (LSTM) network  cyber-physical system (CPS)  energy management  parallel system  reinforcement learning (RL)  
Parallel reinforcement learning-based energy efficiency improvement for a cyber-physical system 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2020, 卷号: 7, 期号: 2, 页码: 617-626
作者:  Liu, Teng;  Tian, Bin;  Ai, Yunfeng;  Wang, Fei-Yue
Adobe PDF(5784Kb)  |  收藏  |  浏览/下载：259/5  |  提交时间：2020/06/02
Bidirectional long short-term memory (LSTM) network  cyber-physical system (CPS)  energy management  parallel system  reinforcement learning (RL)