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浏览/检索结果: 共4条，第1-4条 帮助 限定条件 发表日期：2022    内容类型：期刊论文     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Artificial intelligence-assisted fatigue fracture recognition based on morphing and fully convolutional networks 期刊论文 FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES, 2022, 页码: 13 作者:  Lyu, Yetao;  Yang, Zi;  Liang, Hao;  Zhang, Beini;  Ge, Ming 收藏  |  浏览/下载：16/0  |  提交时间：2022/07/01 artificial intelligence  failure analysis  fatigue fracture  fully convolutional network  mask R-CNN  morphing-based data augmentation   Instance-Level Knowledge Transfer for Data-Driven Driver Model Adaptation With Homogeneous Domains 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12 作者:  Lu, Chao;  Lv, Chen;  Gong, Jianwei;  Wang, Wenshuo;  Cao, Dongpu 收藏  |  浏览/下载：24/0  |  提交时间：2022/06/10 Vehicles  Adaptation models  Data models  Hidden Markov models  Knowledge transfer  Transfer learning  Training  Driver behaviour  driver model adaptation  transfer learning  importance weight   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 收藏  |  浏览/下载：16/0  |  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   Instance GNN: A Learning Framework for Joint Symbol Segmentation and Recognition in Online Handwritten Diagrams 期刊论文 IEEE TRANSACTIONS ON MULTIMEDIA, 2022, 卷号: 24, 页码: 2580-2594 作者:  Yun, Xiao-Long;  Zhang, Yan-Ming;  Yin, Fei;  Liu, Cheng-Lin 收藏  |  浏览/下载：24/0  |  提交时间：2022/07/25 Handwriting recognition  Task analysis  Grammar  Semantics  Image segmentation  Trajectory  Text recognition  Online handwritten diagram recognition  symbol segmentation  symbol recognition  freehand sketch analysis  graph neural networks