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CASIA OpenIR

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Enhance the Performance of Directional Feature-based Palmprint Recognition by Directional Response Stability Measurement 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 597-614
作者:  Haitao Wang;  Wei Jia
Adobe PDF(1236Kb)  |  收藏  |  浏览/下载：8/3  |  提交时间：2024/05/23
Biometrics, palmprint recognition, directional response stability, directional coding-based methods, directional feature  
Overhead-free Noise-tolerant Federated Learning: A New Baseline 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 526-537
作者:  Shiyi Lin;  Deming Zhai;  Feilong Zhang;  Junjun Jiang;  Xianming Liu;  Xiangyang Ji
Adobe PDF(1816Kb)  |  收藏  |  浏览/下载：5/4  |  提交时间：2024/05/23
Federated learning, noise-label learning, privacy-preserving machine learning, edge intelligence, distributed machine learning  
Ripple Knowledge Graph Convolutional Networks for Recommendation Systems 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 481-494
作者:  Chen Li;  Yang Cao;  Ye Zhu;  Debo Cheng;  Chengyuan Li;  Yasuhiko Morimoto
Adobe PDF(3688Kb)  |  收藏  |  浏览/下载：4/3  |  提交时间：2024/05/23
Deep learning, recommendation systems, knowledge graph, graph convolutional networks (GCNs), graph neural networks (GNNs)  
Collective Movement Simulation: Methods and Applications 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 452-480
作者:  Hua Wang;  Xing-Yu Guo;  Hao Tao;  Ming-Liang Xu
Adobe PDF(1439Kb)  |  收藏  |  浏览/下载：4/3  |  提交时间：2024/05/23
Collective movement simulation, multiple objects, multiple discipline, simulation effect, collective intelligence  
Parsing Objects at a Finer Granularity: A Survey 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 431-451
作者:  Yifan Zhao;  Jia Li;  Yonghong Tian
Adobe PDF(1743Kb)  |  收藏  |  浏览/下载：4/3  |  提交时间：2024/05/23
Finer granularity, visual parsing, part segmentation, fine-grained object recognition, part relationship  
Distributed Deep Reinforcement Learning: A Survey and a Multi-player Multi-agent Learning Toolbox 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 411-430
作者:  Qiyue Yin;  Tongtong Yu;  Shengqi Shen;  Jun Yang;  Meijing Zhao;  Wancheng Ni;  Kaiqi Huang;  Bin Liang;  Liang Wang
Adobe PDF(2923Kb)  |  收藏  |  浏览/下载：4/3  |  提交时间：2024/05/23
Deep reinforcement learning, distributed machine learning, self-play, population-play, toolbox  
Guaranteed Cost Attitude Tracking Control for Uncertain Quadrotor Unmanned Aerial Vehicle Under Safety Constraints 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1447-1457
作者:  Qian Ma;  Peng Jin;  Frank L. Lewis
Adobe PDF(3186Kb)  |  收藏  |  浏览/下载：3/1  |  提交时间：2024/05/22
Attitude tracking control  quadrotor unmanned aerial vehicle (QUAV)  reinforcement learning  safety constraints  uncertain disturbances  
Industry-oriented Detection Method of PCBA Defects Using Semantic Segmentation Models 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1438-1446
作者:  Yang Li;  Xiao Wang;  Zhifan He;  Ze Wang;  Ke Cheng;  Sanchuan Ding;  Yijing Fan;  Xiaotao Li;  Yawen Niu;  Shanpeng Xiao;  Zhenqi Hao;  Bin Gao;  Huaqiang Wu
Adobe PDF(12898Kb)  |  收藏  |  浏览/下载：1/0  |  提交时间：2024/05/22
Automated optical inspection (AOI)  deep learning  defect detection  printed circuit board assembly (PCBA)  semantic segmentation  
Hyperbolic Tangent Function-Based Protocols for Global/Semi-Global Finite-Time Consensus of Multi-Agent Systems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1381-1397
作者:  Zongyu Zuo;  Jingchuan Tang;  Ruiqi Ke;  Qing-Long Han
Adobe PDF(3135Kb)  |  收藏  |  浏览/下载：3/2  |  提交时间：2024/05/22
Consensus protocol  finite-time consensus  hyperbolic tangent function  multi-agent systems  
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：0/0  |  提交时间：2024/05/22
Out-of-distribution detection  traceability analysis  trustworthy fault diagnosis  uncertainty quantification