CASIA OpenIR
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iMAPeM: A New Paradigm for Implementing Intelligent Mining With Humans in the Loop 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024, 页码: 12
作者:  Ai, Yunfeng;  Teng, Siyu;  Yang, Qingyuan;  Wu, Ye;  Li, Yuchen;  Gao, Yu;  Meng, Feng;  Yang, Shengli;  Tian, Bin;  Chen, Long;  Wang, Fei-Yue
收藏  |  浏览/下载:16/0  |  提交时间:2024/07/04
Autonomous transportation  intelligent mining  parallel driving operating system  parallel systems theory  
On Iterative Proportional Updating: Limitations and Improvements for General Population Synthesis 期刊论文
IEEE Transactions on Cybernetics, 2022, 卷号: 52, 期号: 3, 页码: 1726-1735
作者:  Peijun Ye;  Bin Tian;  Yisheng Lv;  Qijie Li;  Fei-Yue Wang
Adobe PDF(1066Kb)  |  收藏  |  浏览/下载:263/54  |  提交时间:2020/10/15
Agent-based simulation, bilevel optimization, iterative proportional updating (IPU), population synthesis  
Vehicle Detection Based on the AND-OR Graph for Congested Traffic Conditions 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2013, 卷号: 14, 期号: 2, 页码: 984-993
作者:  Li, Ye;  Li, Bo;  Tian, Bin;  Yao, Qingming
收藏  |  浏览/下载:189/0  |  提交时间:2015/08/12
Active Basis Model (Abm)  And-or Graph (Aog)  Bottom-up Inference  Maximally Stable Extremal Region (Mser)  Vehicle Detection  
Component-Based License Plate Detection Using Conditional Random Field Model 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2013, 卷号: 14, 期号: 4, 页码: 1690-1699
作者:  Li, Bo;  Tian, Bin;  Li, Ye;  Wen, Ding
收藏  |  浏览/下载:170/0  |  提交时间:2015/08/12
Component-based Object Detection  Computer Vision  Conditional Random Field (Crf)  License Plate Detection  
Rear-View Vehicle Detection and Tracking by Combining Multiple Parts for Complex Urban Surveillance 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2014, 卷号: 15, 期号: 2, 页码: 597-606
作者:  Tian, Bin;  Li, Ye;  Li, Bo;  Wen, Ding;  Bin Tian
浏览  |  Adobe PDF(1776Kb)  |  收藏  |  浏览/下载:410/165  |  提交时间:2015/08/12
Kalman Filter (Kf)  Markov Random Field (Mrf)  Part-based Object Detection  Tracking  Vehicle Detection