中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共107条，第1-10条 帮助

限定条件                
已选(0)清除 条数/页：   排序方式：
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：51/13  |  提交时间：2024/05/23
Multi-agent reinforcement learning (RL), distributed RL system, population-based training, reward shaping, game theory  
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：44/13  |  提交时间：2024/05/23
Collective movement simulation, multiple objects, multiple discipline, simulation effect, collective intelligence  
A Soft Sensor with Light and Efficient Multi-scale Feature Method for Multiple Sampling Rates in Industrial Processing 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 400-410
作者:  Dezheng Wang;  Yinglong Wang;  Fan Yang;  Liyang Xu;  Yinong Zhang;  Yiran Chen;  Ning Liao
Adobe PDF(3208Kb)  |  收藏  |  浏览/下载：53/11  |  提交时间：2024/04/23
Multi-scale, feature extractor, deep neural network (DNN), multirate sampled industrial processes, prediction  
CASIA-Iris-Africa: A Large-scale African Iris Image Database 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 383-399
作者:  Jawad Muhammad;  Yunlong Wang;  Junxing Hu;  Kunbo Zhang;  Zhenan Sun
Adobe PDF(8969Kb)  |  收藏  |  浏览/下载：46/4  |  提交时间：2024/04/23
African iris recognition, racial bias, iris image database, biometrics, iris recognition  
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：46/13  |  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  
Multimodal Fusion of Brain Imaging Data: Methods and Applications 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 136-152
作者:  Na Luo;  Weiyang Shi;  Zhengyi Yang;  Ming Song;  Tianzi Jiang
Adobe PDF(1726Kb)  |  收藏  |  浏览/下载：73/21  |  提交时间：2024/04/23
Multimodal fusion, supervised learning, unsupervised learning, brain atlas, cognition, brain disorders  
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：52/9  |  提交时间：2024/04/23
Image anomaly detection, defect detection, industrial manufacturing, deep learning, computer vision  
Multimodal Biometric Fusion Algorithm Based on Ranking Partition Collision Theory 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 884-896
作者:  Zhuorong Li;  Yunqi Tang
Adobe PDF(2010Kb)  |  收藏  |  浏览/下载：52/18  |  提交时间：2024/04/23
Image processing, convolutional neural network, multimodal, biometrics, fusion  
FedFV: A Personalized Federated Learning Framework for Finger Vein Authentication 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 683-696
作者:  Feng-Zhao Lian;  Jun-Duan Huang;  Ji-Xin Liu;   Guang Chen;  Jun-Hong Zhao;  Wen-Xiong Kang
Adobe PDF(1789Kb)  |  收藏  |  浏览/下载：24/11  |  提交时间：2024/04/23
Finger vein, personalized federated learning, privacy protection, biometric, authentication  
Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 666-682
作者:  Cheng-Cheng Ma;  Bao-Yuan Wu;  Yan-Bo Fan;  Yong Zhang;   Zhi-Feng Li
Adobe PDF(9598Kb)  |  收藏  |  浏览/下载：61/18  |  提交时间：2024/04/23
Adversarial defense, adversarial detection, generalized Gaussian distribution, Benford-Fourier coefficients, image classification