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Nonparametric Bayesian Correlated Group Regression with Applications to Image Classification Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2018,Volume: 29,Issue: 11,Page: 5330-5344
Authors:  Luo L.;  Yang J.;  Zhang B.;  Jiang J.;  Huang H.
Favorite  |  View/Download:5/0  |  Submit date:2019/04/04
Correlated group regression  expectation-maximization (EM)  robust image classification  scale mixture of matrix Gaussian distribution  sparse Bayesian learning (SBL)  
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.
Favorite  |  View/Download:6/0  |  Submit date:2019/02/12
expectation maximization  Gaussian mixture model  local features  multiple point sets registration  
Reliability modeling and life estimation using an expectation maximization based wiener degradation model for momentum wheels Journal article
IEEE Transactions on Cybernetics, 2015,Volume: 45,Issue: 5,Page: 955-963
Authors:  Li H.;  Pan D.;  Chen C.L.P.
Favorite  |  View/Download:3/0  |  Submit date:2019/02/11
Expectation maximization (EM)  first hitting time (FHT)  momentum wheel (MW)  reliability  Wiener process  
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.
Favorite  |  View/Download:2/0  |  Submit date:2019/02/12
Distributed tracking  Expectation maximization  Pseudo measurement  Sensor registration  Track fusion  
Simultaneously learning dna motif along with its position and sequence rank preferences through expectation maximization algorithm Journal article
Journal of Computational Biology, 2013,Volume: 20,Issue: 3,Page: 237-248
Authors:  Zhang Z.;  Chang C.W.;  Hugo W.;  Cheung E.;  Sung W.-K.
Favorite  |  View/Download:1/0  |  Submit date:2018/12/17
binding preference  expectation maximization  importance sampling  motif finding.  
Simultaneously learning DNA motif along with Its position and sequence rank preferences through em algorithm Conference paper
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Authors:  Zhang Z.;  Chang C.W.;  Hugo W.;  Cheung E.;  Sung W.-K.
Favorite  |  View/Download:0/0  |  Submit date:2018/12/17
Binding Preference  Expectation Maximization  Importance Sampling  Motif Finding