CASIA OpenIR

浏览/检索结果: 共28条,第1-10条 帮助

限定条件                        
已选(0)清除 条数/页:   排序方式:
FM3Q: Factorized Multi-Agent MiniMax Q-Learning for Two-Team Zero-Sum Markov Game 期刊论文
IEEE Transactions on Emerging Topics in Computational Intelligence, 2024, 页码: 1-13
作者:  Guangzheng Hu;  Yuanheng Zhu;  Haoran Li;  Dongbin Zhao
Adobe PDF(2144Kb)  |  收藏  |  浏览/下载:40/8  |  提交时间:2024/06/05
Games  Q-learning  Task analysis  Optimization  Convergence  Training  Nash equilibrium  Multi-agent reinforcement learning  minimax-Q learning  two-team zero-sum Markov games  
VLP2MSA: Expanding vision-language pre-training to multimodal sentiment analysis 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2024, 卷号: 283, 页码: 9
作者:  Yi, Guofeng;  Fan, Cunhang;  Zhu, Kang;  Lv, Zhao;  Liang, Shan;  Wen, Zhengqi;  Pei, Guanxiong;  Li, Taihao;  Tao, Jianhua
收藏  |  浏览/下载:109/0  |  提交时间:2024/02/22
Multimodal sentiment analysis  Vision-language  Multimodal fusion  
Covariance Estimation for Pose Graph Optimization in Visual-Inertial Navigation Systems 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 6, 页码: 3657-3667
作者:  Shi, Pengcheng;  Zhu, Zhikai;  Sun, Shiying;  Rong, Zheng;  Zhao, Xiaoguang;  Tan, Min
Adobe PDF(2522Kb)  |  收藏  |  浏览/下载:134/24  |  提交时间:2023/11/17
covariance estimation  loop closing  pose graph optimization  visual-inertial odometry  
Tomato Leaf Disease Recognition via Optimizing Deep Learning Methods Considering Global Pixel Value Distribution 期刊论文
HORTICULTURAE, 2023, 卷号: 9, 期号: 9, 页码: 15
作者:  Li, Zheng;  Tao, Weijie;  Liu, Jianlei;  Zhu, Fenghua;  Du, Guangyue;  Ji, Guanggang
收藏  |  浏览/下载:81/0  |  提交时间:2023/11/16
plant leaf disease  image recognition  attention mechanism  smart agriculture  
Semi-global shape-aware attention network for image segmentation and retrieval 期刊论文
NEUROCOMPUTING, 2022, 卷号: 506, 页码: 369-379
作者:  Zhang, Pengju;  Zhu, Jiagang;  Zhang, Chaofan;  Rong, Zheng;  Wu, Yihong
收藏  |  浏览/下载:369/0  |  提交时间:2022/09/19
Attention network  Shape -awareness  Semantic segmentation  Image retrieval  
Fact-Driven Abstractive Summarization by Utilizing Multi-Granular Multi-Relational Knowledge 期刊论文
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2022, 卷号: 30, 页码: 1665-1678
作者:  Mao, Qianren;  Li, Jianxin;  Peng, Hao;  He, Shizhu;  Wang, Lihong;  Yu, Philip S.;  Wang, Zheng
收藏  |  浏览/下载:168/0  |  提交时间:2022/07/25
Fact consistency  graph neural network  language model  pointer network  text summarization  
Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:  Hu, Guangzheng;  Zhu, Yuanheng;  Zhao, Dongbin;  Zhao, Mengchen;  Hao, Jianye
Adobe PDF(4187Kb)  |  收藏  |  浏览/下载:264/12  |  提交时间:2022/01/27
Bandwidth  Protocols  Reinforcement learning  Task analysis  Optimization  Communication networks  Multi-agent systems  Event trigger  limited bandwidth  multi-agent communication  multi-agent reinforcement learning (MARL)  
Detecting Product Adoption Intentions via Multiview Deep Learning 期刊论文
INFORMS JOURNAL ON COMPUTING, 2021, 页码: 17
作者:  Zhang, Zhu;  Wei, Xuan;  Zheng, Xiaolong;  Li, Qiudan;  Zeng, Daniel Dajun
收藏  |  浏览/下载:254/0  |  提交时间:2021/12/28
web mining  business intelligence  intention detection  deep learning  social media analytics  
Predicting product adoption intentions: An integrated behavioral model-inspired multiview learning approach 期刊论文
INFORMATION & MANAGEMENT, 2021, 卷号: 58, 期号: 7, 页码: 12
作者:  Zhang, Zhu;  Wei, Xuan;  Zheng, Xiaolong;  Zeng, Daniel Dajun
收藏  |  浏览/下载:243/0  |  提交时间:2021/11/04
Text mining  Deep learning  Product adoption intention  Multi-view learning  
Moving to OOP: An Active Observation Approach for A Novel Composite Visual Servoing Configuration 期刊论文
IEEE Transactions on Instrumentation And Measurement, 2021, 卷号: 70, 期号: 无, 页码: 1-15
作者:  Ma HX(马洪轩);  Zou W(邹伟);  Zhu Z(朱政);  Zhang C(张弛);  Kang ZB(亢兆兵)
Adobe PDF(3566Kb)  |  收藏  |  浏览/下载:269/62  |  提交时间:2021/06/04
composite visual servoing configuration  optimal observation position  pan-tilt camera  observation measure function  imaging quality