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Detecting Targets Based on a Realistic Detection and Decision Model in Wireless Sensor Networks.

T. Wang, Z. Peng, J. Liang, Y. Cai, Y. Chen, H. Tian, and B. Zhong. WASA, volume 9204 of Lecture Notes in Computer Science, page 836-844. Springer, (2015)

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Li Zhong University of Stuttgart

Other publications of authors with the same name

Online learning 3D context for robust visual tracking.B. Zhong, Y. Shen, Y. Chen, W. Xie, Z. Cui, H. Zhang, D. Chen, T. Wang, X. Liu, S. Peng and 4 other author(s). Neurocomputing, (2015)Efficient Audio-Visual Speaker Recognition via Deep Heterogeneous Feature Fusion.Y. Liu, X. Liu, W. Fan, B. Zhong, and J. Du. CCBR, volume 10568 of Lecture Notes in Computer Science, page 575-583. Springer, (2017)Representative Task Self-selection for Flexible Clustered Lifelong Learning.G. Sun, Y. Cong, Q. Wang, B. Zhong, and Y. Fu. CoRR, (2019)A Comprehensive Survey of Vision-Based Human Action Recognition Methods.H. Zhang, Y. Zhang, B. Zhong, Q. Lei, L. Yang, J. Du, and D. Chen. Sensors, 19 (5): 1005 (2019)Higher order partial least squares for object tracking: A 4D-tracking method.B. Zhong, X. Yang, Y. Shen, C. Wang, T. Wang, Z. Cui, H. Zhang, X. Hong, and D. Chen. Neurocomputing, (2016)Visual tracking via weakly supervised learning from multiple imperfect oracles.B. Zhong, H. Yao, S. Chen, R. Ji, X. Yuan, S. Liu, and W. Gao. CVPR, page 1323-1330. IEEE Computer Society, (2010)Efficient Cross-modal Retrieval via Discriminative Deep Correspondence Model.Z. Hu, X. Liu, A. Li, B. Zhong, W. Fan, and J. Du. CCCV (1), volume 771 of Communications in Computer and Information Science, page 662-673. Springer, (2017)Structured partial least squares for simultaneous object tracking and segmentation.B. Zhong, X. Yuan, R. Ji, Y. Yan, Z. Cui, X. Hong, Y. Chen, T. Wang, D. Chen, and J. Yu. Neurocomputing, (2014)Background subtraction driven seeds selection for moving objects segmentation and matting.B. Zhong, Y. Chen, Y. Chen, R. Ji, Y. Chen, D. Chen, and H. Wang. Neurocomputing, (2013)Local Spatial Co-occurrence for Background Subtraction via Adaptive Binned Kernel Estimation.B. Zhong, S. Liu, and H. Yao. ACCV (3), volume 5996 of Lecture Notes in Computer Science, page 152-161. Springer, (2009)

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Disambiguation of "Zhong, Bineng"

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Detecting Targets Based on a Realistic Detection and Decision Model in Wireless Sensor Networks.

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Li Zhong University of Stuttgart

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Detecting Targets Based on a Realistic Detection and Decision Model in Wireless Sensor Networks.

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Li Zhong University of Stuttgart

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Detecting Targets Based on a Realistic Detection and Decision Model in Wireless Sensor Networks.