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Efficient Brain Decoding Based on Adaptive EEG Channel Selection and Transformation 期刊论文
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2022, 页码: 10
作者:  Wang, Jiaxing;  Shi, Lei;  Wang, Weiqun;  Hou, Zeng-Guang
收藏  |  浏览/下载：181/0  |  提交时间：2022/06/06
Electroencephalography  Decoding  Brain modeling  Computational modeling  Optimized production technology  Feature extraction  Data models  Channel selection  channel transformation  brain decoding  computational cost  classification accuracy  
Towards More Discriminative and Robust Iris Recognition by Learning Uncertain Factors 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2022, 卷号: 17, 页码: 865-879
作者:  Wei, Jianze;  Huang, Huaibo;  Wang, Yunlong;  He, Ran;  Sun, Zhenan
Adobe PDF(8736Kb)  |  收藏  |  浏览/下载：265/46  |  提交时间：2022/06/06
Iris recognition  Uncertainty  Training  Task analysis  Computational modeling  Feature extraction  Probabilistic logic  Iris recognition  cross-sensor recognition  uncertainty learning  curriculum learning  
Holographic Feature Learning of Egocentric-Exocentric Videos for Multi-Domain Action Recognition 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2022, 卷号: 24, 页码: 2273-2286
作者:  Huang, Yi;  Yang, Xiaoshan;  Gao, Junyun;  Xu, Changsheng
Adobe PDF(2409Kb)  |  收藏  |  浏览/下载：288/61  |  提交时间：2022/07/25
Videos  Feature extraction  Visualization  Task analysis  Computational modeling  Target recognition  Prototypes  Egocentric videos  exocentric videos  holographic feature  multi-domain  action recognition  
Anomaly Detection Using Local Kernel Density Estimation and Context-Based Regression 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2020, 卷号: 32, 期号: 2, 页码: 218-233
作者:  Hu, Weiming;  Gao, Jun;  Li, Bing;  Wu, Ou;  Du, Junping;  Maybank, Stephen
收藏  |  浏览/下载：248/0  |  提交时间：2020/03/30
Anomaly detection  Kernel  Estimation  Saliency detection  Visualization  Data models  Computational modeling  Anomaly detection  local kernel density estimation  weighted neighborhood density  hierarchical context-based local kernel regression