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    Author information
    First name: Peng
    Last name: Tang
    DBLP: 93/509
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    Below you find the publications which have been written by this author.

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    Journal article
    Xinggang Wang, Yongluan Yan, Peng Tang, Xiang Bai, Wenyu Liu.
    Revisiting multiple instance neural networks.
    Pattern Recognition 2018, Volume 74 (0) 2018
    Conference paper
    Ming-Bo Zhao, Tommy W. S. Chow, Peng Tang, Zengfu Wang, Jun Guo 0001, Moshe Zukerman.
    Route Selection for Cabling Considering Cost Minimization and Earthquake Survivability Via a Semi-Supervised Probabilistic Model.
    IEEE Trans. Industrial Informatics 2017, Volume 13 (0) 2017
    Conference paper
    Peng Tang, Xinggang Wang, Xiang Bai, Wenyu Liu.
    Multiple Instance Detection Network with Online Instance Classifier Refinement.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Peng Tang, Xinggang Wang, Zilong Huang, Xiang Bai, Wenyu Liu.
    Deep Patch Learning for Weakly Supervised Object Classification and Discovery.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Peng Tang, Xinggang Wang, Bin Feng, Wenyu Liu.
    Learning Multi-Instance Deep Discriminative Patterns for Image Classification.
    IEEE Trans. Image Processing 2017, Volume 26 (0) 2017
    Journal article
    Damian M. Lyons, Ronald C. Arkin, Shu Jiang, Matthew O'Brien, Feng Tang, Peng Tang.
    Establishing A-Priori Performance Guarantees for Robot Missions that Include Localization Software.
    IJMSTR 2017, Volume 5 (0) 2017
    Conference paper
    Peng Tang, Jin Zhang, Xinggang Wang, Bin Feng, Fabio Roli, Wenyu Liu.
    Learning extremely shared middle-level image representation for scene classification.
    Knowl. Inf. Syst. 2017, Volume 52 (0) 2017
    Journal article
    Peng Tang, Xinggang Wang, Zilong Huang, Xiang Bai, Wenyu Liu.
    Deep patch learning for weakly supervised object classification and discovery.
    Pattern Recognition 2017, Volume 71 (0) 2017
    Conference paper
    Peng Tang, Xinggang Wang, Xiang Bai, Wenyu Liu.
    Multiple Instance Detection Network with Online Instance Classifier Refinement.
    2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, HI, USA, July 21-26, 2017 2017 (0) 2017
    Conference paper
    Dan Wang, Junfeng Wang 0003, Yihua Du, Peng Tang.
    Adaptive Solitary Pulmonary Nodule Segmentation for Digital Radiography Images Based on Random Walks and Sequential Filter.
    IEEE Access 2017, Volume 5 (0) 2017
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