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Occlusion Detection via Structured Sparse Learning for Robust Object Tracking 期刊论文
Advances in Computer Vision and Pattern Recognition, 2014, 期号: 71, 页码: 93-112
作者:  Zhang, Tianzhu;  Ghanem, Bernard;  Xu, Changsheng;  Ahuja, Narendra
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Tracking  
Online reinforcement learning for continuous-state systems 专著章节/文集论文
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Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, 2014
作者:  Yuanheng Zhu;  Zhao DB(赵冬斌)
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Road Extraction Via Adpative Graph Cuts with Multiple Features 会议论文
, 法国巴黎, 2014年10月
作者:  Cheng GL(程光亮);  Wang Y(王颖);  Zhu FY(朱飞云);  Pan CH(潘春洪)
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Road Extraction  Adaptive Graph Cuts  Multiple  Spatially Contextual Feature  
Parallel Driving With Software Vehicular Robots for Safety and Smartness 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2014, 卷号: 15, 期号: 4, 页码: 1381-1387
作者:  Fei-Yue Wang
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Parallel Driving  Softwarevehicular Robots  Safety  Smartness  
Computational Transportation and Transportation 5.0 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2014, 卷号: 15, 期号: 5, 页码: 1861-1868
作者:  Fei-Yue Wang
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Transportation 5.0  Computational  Transportation  
The T-ITS Awards and Future Transportation 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2014, 卷号: 15, 期号: 6, 页码: 2353-2359
作者:  Fei-Yue Wang
Adobe PDF(81Kb)  |  收藏  |  浏览/下载:319/144  |  提交时间:2017/03/07
T-its Awards  Future Transportation  
CSMMI: Class-Specific Maximization of Mutual Information for Action and Gesture Recognition 期刊论文
IEEE Transactions on Image Processing, 2014, 卷号: 23, 期号: 7, 页码: 3152-3165
作者:  Jun, Wan;  Wan J(万军)
Adobe PDF(5217Kb)  |  收藏  |  浏览/下载:250/68  |  提交时间:2016/10/26
Intra-class Mutual Information  Inter-class Mutual Information  Class-specific Dictionary  Action Recognition  
User-centric Social Multimedia Computing 专著
Berlin Heidelberg:Springer, 2014
作者:  Sang, Jitao
Adobe PDF(5480Kb)  |  收藏  |  浏览/下载:400/95  |  提交时间:2016/03/30
Non-Gaussian Approximation Iterative Receiver for MIMO-OFDMVehicular Networks 会议论文
IEEE International Conference on Intelligent Transportation Systems (ITSC), Qingdao, China, 2014
作者:  Shuangshuang Han;  Liuqing Yang;  Xiang Cheng;  Shichao Chen;  Fenghua Zhu;  Zhongdong Yu;  Haitao Xie
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Local Label Probability Propagation for Hyperspectral Image Classification 会议论文
International Conference on Pattern Recognition (ICPR), Stockholm, Sweden, 2014
作者:  Haichang Li;  Jiangyong Duan;  Shiming Xiang;  LingFeng Wang;  Chunhong Pan;  haichang516@gmail.com
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Hyperspectral Image Classification  Label Propagation