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    Author information
    First name: Xiaobo
    Last name: Chen
    DBLP: 21/4778
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    Below you find the publications which have been written by this author.

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    Journal article
    Chengyi Yu, Xiaobo Chen, Juntong Xi.
    Modeling and Calibration of a Novel One-Mirror Galvanometric Laser Scanner.
    Sensors 2017, Volume 17 (0) 2017
    Conference paper
    Xiaobo Chen, Han Zhang, Seong-Whan Lee, Dinggang Shen.
    Hierarchical High-Order Functional Connectivity Networks and Selective Feature Fusion for MCI Classification.
    Neuroinformatics 2017, Volume 15 (0) 2017
    Journal article
    Hui Liang, Xiaobo Chen.
    A new multi-domain method based on an analytical control surface for linear and second-order mean drift wave loads on floating bodies.
    J. Comput. Physics 2017, Volume 347 (0) 2017
    Journal article
    Xiaobo Chen, Zhongjie Wei, Zuoyong Li, Jun Liang, Yingfeng Cai, Bob Zhang.
    Ensemble correlation-based low-rank matrix completion with applications to traffic data imputation.
    Knowl.-Based Syst. 2017, Volume 132 (0) 2017
    Conference paper
    Lichi Zhang, Han Zhang, Xiaobo Chen, Qian Wang 0001, Pew-Thian Yap, Dinggang Shen.
    Learning-Based Estimation of Functional Correlation Tensors in White Matter for Early Diagnosis of Mild Cognitive Impairment.
    Patch-Based Techniques in Medical Imaging - Third International Workshop, Patch-MI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Proceedings 2017 (0) 2017
    Conference paper
    Yu Zhang, Han Zhang, Xiaobo Chen, Mingxia Liu, Xiaofeng Zhu, Dinggang Shen.
    Inter-subject Similarity Guided Brain Network Modeling for MCI Diagnosis.
    Machine Learning in Medical Imaging - 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Proceedings 2017 (0) 2017
    Conference paper
    Yu Zhang, Han Zhang, Xiaobo Chen, Dinggang Shen.
    Constructing Multi-frequency High-Order Functional Connectivity Network for Diagnosis of Mild Cognitive Impairment.
    Connectomics in NeuroImaging - First International Workshop, CNI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Proceedings 2017 (0) 2017
    Journal article
    Hai Wang, Yingfeng Cai, Xiaobo Chen, Long Chen.
    Night-Time Vehicle Sensing in Far Infrared Image with Deep Learning.
    J. Sensors 2016, Volume 2016 (0) 2016
    Conference paper
    Hai Wang, Yingfeng Cai, Xiaobo Chen, Long Chen 0003.
    Occluded vehicle detection with local connected deep model.
    Multimedia Tools Appl. 2016, Volume 75 (0) 2016
    Conference paper
    Xi Yang, Yan Jin 0001, Xiaobo Chen, Han Zhang, Gang Li 0001, Dinggang Shen.
    Functional Connectivity Network Fusion with Dynamic Thresholding for MCI Diagnosis.
    Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings 2016 (0) 2016
    Conference paper
    Xiaobo Chen, Han Zhang, Dinggang Shen.
    Ensemble Hierarchical High-Order Functional Connectivity Networks for MCI Classification.
    Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part II 2016 (0) 2016
    Conference paper
    Renping Yu, Han Zhang, Le An, Xiaobo Chen, Zhihui Wei, Dinggang Shen.
    Correlation-Weighted Sparse Group Representation for Brain Network Construction in MCI Classification.
    Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part I 2016 (0) 2016
    Conference paper
    Luyan Liu, Han Zhang, Islem Rekik, Xiaobo Chen, Qian Wang 0001, Dinggang Shen.
    Outcome Prediction for Patient with High-Grade Gliomas from Brain Functional and Structural Networks.
    Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part II 2016 (0) 2016
    Conference paper
    Yingfeng Cai, Hai Wang, Xiaobo Chen, Long Chen.
    Multilevel framework to handle object occlusions for real-time tracking.
    IET Image Processing 2016, Volume 10 (0) 2016
    Conference paper
    Jun Liang, Feiyun Zhang, Xiao-xia Xiong, Xiaobo Chen, Long Chen, Guo-hui Lan.
    Manifold Regularized Proximal Support Vector Machine via Generalized Eigenvalue.
    Int. J. Computational Intelligence Systems 2016, Volume 9 (0) 2016
    Journal article
    Yinghua Yang, Xiaole Li, Xiaozhi Liu, Xiaobo Chen.
    Wavelet kernel entropy component analysis with application to industrial process monitoring.
    Neurocomputing 2015, Volume 147 (0) 2015
    Conference paper
    Xiaobo Chen, Yingfeng Cai, Long Chen, Zuoyong Li.
    Discriminant feature extraction for image recognition using complete robust maximum margin criterion.
    Mach. Vis. Appl. 2015, Volume 26 (0) 2015
    Conference paper
    Zuoyong Li, Kezong Tang, Yong Cheng, Xiaobo Chen, Chongbo Zhou.
    Modified Adaptive Gaussian Filter for Removal of Salt and Pepper Noise.
    TIIS 2015, Volume 9 (0) 2015
    Journal article
    Xiaobo Chen, Yan Xiao, Yinfeng Cai, Long Chen.
    Structural max-margin discriminant analysis for feature extraction.
    Knowl.-Based Syst. 2014, Volume 70 (0) 2014
    Conference paper
    Xiaobo Chen, Jian Yang 0003, Zhong Jin.
    An Improved Linear Discriminant Analysis with L1-Norm for Robust Feature Extraction.
    22nd International Conference on Pattern Recognition, ICPR 2014, Stockholm, Sweden, August 24-28, 2014 2014 (0) 2014
    Conference paper
    Xiaobo Chen, Jian Yang 0003, Long Chen 0003.
    An improved robust and sparse twin support vector regression via linear programming.
    Soft Comput. 2014, Volume 18 (0) 2014
    Journal article
    Xiaobo Chen, Jian Yang, Qirong Mao, Fei Han.
    Regularized least squares fisher linear discriminant with applications to image recognition.
    Neurocomputing 2013, Volume 122 (0) 2013
    Conference paper
    Xiaobo Chen, Qirong Mao, Fei Han, Jun Liang.
    Improved twin support vector machine using total margin and graph embedding.
    Ninth International Conference on Natural Computation, ICNC 2013, Shenyang, China, July 23-25, 2013 2013 (0) 2013
    Conference paper
    Xiaobo Chen, Jian Yang 0003, David Zhang 0001, Jun Liang.
    Complete large margin linear discriminant analysis using mathematical programming approach.
    Pattern Recognition 2013, Volume 46 (0) 2013
    Conference paper
    Xiaobo Chen, Jian Yang, Jun Liang, Qiaolin Ye.
    Smooth twin support vector regression.
    Neural Computing and Applications 2012, Volume 21 (0) 2012
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    Your query returned 43 matches in the database.