中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共29条，第1-10条 帮助

限定条件            
已选(0)清除 条数/页：   排序方式：
A Learning-Embedded Attributed Petri Net to Optimize Student Learning in a Serious Game 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2021, 页码: 9
作者:  Liang, Jing;  Tang, Ying;  Hare, Ryan;  Wu, Ben;  Wang, Fei-Yue
收藏  |  浏览/下载：195/0  |  提交时间：2022/01/27
Games  Task analysis  Problem-solving  Petri nets  Random forests  Training  Radio frequency  Learning optimization  Petri nets (PNs)  serious game (SG)  
Enhanced Bounding Box Estimation with Distribution Calibration for Visual Tracking 期刊论文
SENSORS, 2021, 卷号: 21, 期号: 23, 页码: 14
作者:  Yu, Bin;  Tang, Ming;  Zhu, Guibo;  Wang, Jinqiao;  Lu, Hanqing
Adobe PDF(10825Kb)  |  收藏  |  浏览/下载：379/66  |  提交时间：2022/02/16
visual tracking  bounding box estimation  overlap maximization  distribution calibration  
The preparation of SiC ceramic photosensitive slurry for rapid stereolithography 期刊论文
JOURNAL OF THE EUROPEAN CERAMIC SOCIETY, 2021, 卷号: 41, 期号: 15, 页码: 7516-7524
作者:  Tang, Jie;  Guo, Xiaotian;  Chang, Haotian;  Hu, Kehui;  Shen, Zhen;  Wang, Weixing;  Liu, Meng;  Wei, Yuquan;  Huang, Zhengren;  Yang, Yong
收藏  |  浏览/下载：172/0  |  提交时间：2021/12/28
Stereolithography  Graded SiO2  3D printing  SiC ceramic slurry  
Quality-Related Fault Diagnosis Based on k-Nearest Neighbor Rule for Non-Linear Industrial Processes 期刊论文
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2021, 卷号: 17, 期号: 11, 页码: 1-14
作者:  Ren, Zelin;  Tang, Yongqiang;  Zhang, Wensheng
Adobe PDF(1256Kb)  |  收藏  |  浏览/下载：299/58  |  提交时间：2021/12/28
fault detection  fault diagnosis  quality-related  non-linear industrial process  k-nearest neighbor rule  
Transformers in computational visual media: A survey 期刊论文
Computational Visual Media, 2021, 卷号: 8, 期号: 1, 页码: 33-62
作者:  Xu,Yifan;  Wei,Huapeng;  Lin,Minxuan;  Deng,Yingying;  Sheng,Kekai;  Zhang,Mengdan;  Tang,Fan;  Dong,Weiming;  Huang,Feiyue;  Xu,Changsheng
Adobe PDF(5366Kb)  |  收藏  |  浏览/下载：273/35  |  提交时间：2021/12/28
visual transformer  computational visual media (CVM)  high-level vision  low-level vision  image generation  multi-modal learning  
GPENs: Graph Data Learning With Graph Propagation-Embedding Networks 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 14
作者:  Jiang, Bo;  Wang, Leiling;  Cheng, Jian;  Tang, Jin;  Luo, Bin
收藏  |  浏览/下载：178/0  |  提交时间：2022/01/27
Task analysis  Computer architecture  Semisupervised learning  Deep learning  Laplace equations  Data models  Labeling  Graph embedding  graph neural networks (GNNs)  graph propagation  semi-supervised learning  
A Point-Line VIO System With Novel Feature Hybrids and With Novel Line Predicting-Matching 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2021, 卷号: 6, 期号: 4, 页码: 8681-8688
作者:  Wei, Hao;  Tang, Fulin;  Xu, Zewen;  Zhang, Chaofan;  Wu, Yihong
收藏  |  浏览/下载：258/0  |  提交时间：2021/11/03
Simultaneous localization and mapping  Feature extraction  Three-dimensional displays  Tracking  Jacobian matrices  Motion segmentation  Cameras  Visual-Inertial SLAM  SLAM  
Antidecay LSTM for Siamese Tracking With Adversarial Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 10, 页码: 4475-4489
作者:  Zhao, Fei;  Zhang, Ting;  Wu, Yi;  Tang, Ming;  Wang, Jinqiao
收藏  |  浏览/下载：224/0  |  提交时间：2021/12/28
Target tracking  Feature extraction  Computer architecture  Visualization  Training  Task analysis  Adversarial learning  deep learning  long short-term memory (LSTM)  visual tracking  
A Point-Line VIO System With Novel Feature Hybrids and With Novel Line Predicting-Matching 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2021, 卷号: 6, 期号: 4, 页码: 8681-8688
作者:  Wei H(卫浩);  Tang FL(唐付林);  Xu ZW(徐泽文);  Zhang CF(张超凡);  Wu YH(吴毅红)
Adobe PDF(1754Kb)  |  收藏  |  浏览/下载：137/56  |  提交时间：2023/04/25
Constrained Tensor Representation Learning for Multi-View Semi-Supervised Subspace Clustering 期刊论文
IEEE Transactions on Multimedia, 2021, 卷号: 0, 期号: 0, 页码: 0
作者:  Yongqiang, Tang;  Yuan, Xie;  Chenyang, Zhang;  Wensheng, Zhang
Adobe PDF(8530Kb)  |  收藏  |  浏览/下载：217/39  |  提交时间：2022/04/01
Multi-view learning  pairwise constraint  semi-supervised clustering  subspace learning  tensor singular value decomposition (t-SVD)