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Soccer player tracking and data correction based on attention with full-field videos 期刊论文
VISUAL COMPUTER, 2024, 页码: 13
作者:  Yang, Chao;  Yang, Meng;  Li, Hongyu;  Jiang, Linlu;  Suo, Xiang;  Li, Zhen;  Meng, Weiliang;  Mao, Lijuan
Adobe PDF(8335Kb)  |  收藏  |  浏览/下载：20/5  |  提交时间：2024/05/30
Soccer player tracking  Data correction  Field mapping  
Indirect estimation of pediatric reference interval via density graph deep embedded clustering 期刊论文
COMPUTERS IN BIOLOGY AND MEDICINE, 2024, 卷号: 169, 页码: 10
作者:  Zheng, Jianguo;  Tang, Yongqiang;  Peng, Xiaoxia;  Zhao, Jun;  Chen, Rui;  Yan, Ruohua;  Peng, Yaguang;  Zhang, Wensheng
收藏  |  浏览/下载：40/0  |  提交时间：2024/03/27
Reference interval  Reference interval  Indirect estimation  Indirect estimation  Machine learning  Machine learning  Deep neural networks  Deep neural networks  Graph clustering  Graph clustering  
Identifying Critical Test Scenarios for Lane Keeping Assistance System Using Analytic Hierarchy Process and Hierarchical Clustering 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 10, 页码: 4370-4380
作者:  Song, Rui;  Li, Xuan;  Zhao, Xiangmo;  Liu, Mingyang;  Zhou, Jianhua;  Wang, Fei-Yue
收藏  |  浏览/下载：43/0  |  提交时间：2024/02/22
Analytic hierarchy process  Accidents  autonomous vehicles  critical test scenarios  hierarchical clustering  lane keeping asistance system  scenarios engineering  
Key-Part Attention Retrieval for Robotic Object Recognition 期刊论文
TSINGHUA SCIENCE AND TECHNOLOGY, 2024, 卷号: 29, 期号: 3, 页码: 644-655
作者:  Liu, Jierui;  Cao, Zhiqiang;  Tang, Yingbo
Adobe PDF(2164Kb)  |  收藏  |  浏览/下载：88/8  |  提交时间：2024/02/22
Training  Visualization  Image recognition  Cameras  Object recognition  Convolutional neural networks  Data mining  key-part attention  retrieval  robotic object recognition  
Physics-Based Modeling and Fluttering Dynamic Process Simulation for Catkins 期刊论文
FORESTS, 2023, 卷号: 14, 期号: 12, 页码: 28
作者:  Zhang, Jiaxiu;  Yang, Meng;  Xi, Benye;  Duan, Jie;  Huang, Qingqing;  Meng, Weiliang
Adobe PDF(10070Kb)  |  收藏  |  浏览/下载：57/5  |  提交时间：2024/02/22
clustering  catkin modeling  wind field simulation  catkin control  
Robustly uncovering the heterogeneity of neurodegenerative disease by using data-driven subtyping in neuroimaging: A review 期刊论文
Brain research, 2024, 卷号: 1823, 页码: 13
作者:  Chen, Pindong;  Zhang, Shirui;  Zhao, Kun;  Kang, Xiaopeng;  Rittman, Timothy;  Liu, Yong
收藏  |  浏览/下载：79/0  |  提交时间：2024/02/22
Neurodegenerative diseases  Alzheimer's disease  Heterogeneity  Subtype  Data-driven  
A Triple-Stage Robust Ellipse Fitting Algorithm Based on Outlier Removal 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 页码: 14
作者:  Long, Chenrong;  Hu, Qinglei;  Zhao, Mingyang;  Li, Dongyu;  Ouyang, Zhenchao;  Yan, Dong-Ming
收藏  |  浏览/下载：96/0  |  提交时间：2023/12/21
Ellipse fitting  linear clustering  outlier removal  probability density  spacecraft pose measurement  
Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining 期刊论文
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2023, 卷号: 14, 期号: 5, 页码: 21
作者:  Zhu, Yanqiao;  Xu, Yichen;  Yu, Feng;  Liu, Qiang;  Wu, Shu
Adobe PDF(1686Kb)  |  收藏  |  浏览/下载：83/1  |  提交时间：2023/12/21
Cluster-aware self-training and refining  unsupervised learning  graph representation learning  
Progressive Sub-Domain Information Mining for Single-Source Generalizable Gait Recognition 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2023, 卷号: 18, 页码: 4787-4799
作者:  Wang, Yang;  Huang, Yan;  Shan, Caifeng;  Wang, Liang
收藏  |  浏览/下载：31/0  |  提交时间：2023/11/17
Gait recognition  Data models  Task analysis  Training  Computational modeling  Feature extraction  Pipelines  domain generalization  clustering  domain-invariant feature  
Affine Subspace Robust Low-Rank Self-Representation: From Matrix to Tensor 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 8, 页码: 9357-9373
作者:  Tang, Yongqiang;  Xie, Yuan;  Zhang, Wensheng
收藏  |  浏览/下载：73/0  |  提交时间：2023/11/17
Affine subspace  low-rank representation  low-rank tensor  multi-view learning  subspace clustering