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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：23/9  |  提交时间：2024/05/23
Biometrics, palmprint recognition, directional response stability, directional coding-based methods, directional feature  
An Empirical Study on Google Research Football Multi-agent Scenarios 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 549-570
作者:  Yan Song;  He Jiang;  Zheng Tian;  Haifeng Zhang;  Yingping Zhang;  Jiangcheng Zhu;  Zonghong Dai;  Weinan Zhang;  Jun Wang
Adobe PDF(24588Kb)  |  收藏  |  浏览/下载：10/5  |  提交时间：2024/05/23
Multi-agent reinforcement learning (RL), distributed RL system, population-based training, reward shaping, game theory  
Dual Frequency Transformer for Efficient SDR-to-HDR Translation 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 538-548
作者:  Gang Xu;  Qibin Hou;  Ming-Ming Cheng
Adobe PDF(2981Kb)  |  收藏  |  浏览/下载：11/6  |  提交时间：2024/05/23
Standard-dynamic-range to high-dynamic-range (SDR-to-HDR) translation, Transformer, dual frequency attention (DFA), frequency-aware feature decomposition, efficient model  
Accelerated Primal-Dual Projection Neurodynamic Approach with time Scaling for Linear and set Constrained Convex Optimization Problems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1485-1498
作者:  You Zhao;  Xing He;  Mingliang Zhou;  Tingwen Huang
Adobe PDF(2287Kb)  |  收藏  |  浏览/下载：8/5  |  提交时间：2024/05/22
Accelerated projection neurodynamic approach  linear and set constraints  projection operators  smooth and nonsmooth convex optimization  time scaling  
A Two-layer Encoding Learning Swarm Optimizer based on Frequent Itemsets for Sparse Large-scale Multi-objective Optimization 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1342-1357
作者:  Sheng Qi;  Rui Wang;  Tao Zhang;  Xu Yang;  Ruiqing Sun;  Ling Wang
Adobe PDF(3038Kb)  |  收藏  |  浏览/下载：6/0  |  提交时间：2024/05/22
Evolutionary algorithms  learning swarm optimization  sparse large-scale optimization  sparse large-scale multi-objective problems  two-layer encoding  
基于被动声呐音频信号的水中目标识别综述 期刊论文
自动化学报, 2024, 卷号: 50, 期号: 4, 页码: 649-673
作者:  徐齐胜;  许可乐;  窦勇;  高彩丽;  乔鹏;  冯大为;  朱博青
Adobe PDF(6284Kb)  |  收藏  |  浏览/下载：16/5  |  提交时间：2024/04/28
被动声呐信号  水中目标自动识别  深度学习  有监督学习  自监督学习  
Enhancing Multi-agent Coordination via Dual-channel Consensus 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 349-368
作者:  Qingyang Zhang;  Kaishen Wang;  Jingqing Ruan;  Yiming Yang;  Dengpeng Xing;  Bo Xu
Adobe PDF(4997Kb)  |  收藏  |  浏览/下载：18/7  |  提交时间：2024/04/23
Multi-agent reinforcement learning, contrastive representation learning, consensus, multi-agent cooperation, cognitive consistency  
Adaptively Enhancing Facial Expression Crucial Regions via a Local Non-local Joint Network 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 331-348
作者:  Guanghui Shi;  Shasha Mao;  Shuiping Gou;  Dandan Yan;  Licheng Jiao;  Lin Xiong
Adobe PDF(3926Kb)  |  收藏  |  浏览/下载：16/6  |  提交时间：2024/04/23
Facial expression recognition, deep neural network, multiple network ensemble, attention network, facial crucial regions  
Boosting Multi-modal Ocular Recognition via Spatial Feature Reconstruction and Unsupervised Image Quality Estimation 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 197-214
作者:  Zihui Yan;  Yunlong Wang;  Kunbo Zhang;  Zhenan Sun;  Lingxiao He
Adobe PDF(3457Kb)  |  收藏  |  浏览/下载：15/4  |  提交时间：2024/04/23
Iris recognition, periocular recognition, spatial feature reconstruction, fully convolutional network, flexible matching, unsupervised iris quality assessment, adaptive weight fusion  
Deep Industrial Image Anomaly Detection: A Survey 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 104-135
作者:  Jiaqi Liu;  Guoyang Xie;  Jinbao Wang;  Shangnian Li;  Chengjie Wang;  Feng Zheng;  Yaochu Jin
Adobe PDF(3376Kb)  |  收藏  |  浏览/下载：19/4  |  提交时间：2024/04/23
Image anomaly detection, defect detection, industrial manufacturing, deep learning, computer vision