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Joint Registration of Multiple Point Sets by Preserving Global and Local Structure Conference paper
2018 21st International Conference on Information Fusion, FUSION 2018
Authors:  Zhu H.;  Guo B.;  Yuen K.-V.;  Leung H.;  Li Y.;  Tian Z.
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expectation maximization  Gaussian mixture model  local features  multiple point sets registration  
A kernel logistic neural network based on restricted Boltzmann machine Conference paper
2016 3rd International Conference on Informative and Cybernetics for Computational Social Systems, ICCSS 2016
Authors:  Lv Q.;  Li H.;  Chen C.L.P.;  Wang D.;  Song W.;  Lin H.
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kernel logistic neural network  maximum likelihood estimate  principal component analysis  restricted Boltzmann machine  ridge regularization  
One global optimization method in network flow model for multiple object tracking Journal article
Knowledge-Based Systems, 2015,Volume: 86,Page: 21-32
Authors:  He Z.;  Cui Y.;  Wang H.;  You X.;  Philip Chen C.L.
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Multiple object tracking  Network flow model  Observation model  
A joint data association, registration, and fusion approach for distributed tracking Journal article
Information Sciences, 2015,Volume: 324,Page: 186-196
Authors:  Zhu H.;  Leung H.;  Yuen K.-V.
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Distributed tracking  Expectation maximization  Pseudo measurement  Sensor registration  Track fusion  
Standardized median difference for quality control in high-throughput screening Conference paper
Proceedings of 2012 International Symposium on Information Technologies in Medicine and Education, ITME 2012
Authors:  Huang W.;  Zhang X.D.;  Li Y.;  Wang W.W.;  Soper K.
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An application of linear mixed effects model to steganography detection Conference paper
Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Authors:  Chen M.-C.;  Roy A.;  Rodriguez B.M.;  Agaian S.S.;  Chen C.L.P.
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Feature generation  Linear mixed effects model  Maximum likelihood estimates  Steganalysis  Steganography