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Stochastic Assessment of AGC Systems Under Non-Gaussian Uncertainty Journal article
IEEE TRANSACTIONS ON POWER SYSTEMS, 2019,Volume: 34,Issue: 1,Page: 705-717
Authors:  Chen, Xiaoshuang;  Lin, Jin;  Liu, Feng;  Song, Yonghua
Favorite  |  View/Download:3/0  |  Submit date:2019/01/17
Automatic generation control  stochastic system  stochastic differential equation  partial differential equation  series expansion  Ito theory  
Body surface feature-based multi-modal Learning for Diabetes Mellitus detection Journal article
INFORMATION SCIENCES, 2019,Volume: 472,Page: 1-14
Authors:  Li, Jinxing;  Zhang, Bob;  Lu, Guangming;  You, Jane;  Zhang, David
Favorite  |  View/Download:1/0  |  Submit date:2019/01/17
Diabetes mellitus  Multi-modal  Body surface feature  Gaussian process  
Generative multi-view and multi-feature learning for classification Journal article
INFORMATION FUSION, 2019,Volume: 45,Page: 215-226
Authors:  Li, Jinxing;  Zhang, Bob;  Lu, Guangming;  Zhang, David
Favorite  |  View/Download:13/0  |  Submit date:2018/10/30
Multi-view(modal)  Multi-feature  Generative model  Bayesian model  Classification  
Multiple Kernel Fuzzy Clustering with Unsupervised Random Forests Kernel and Matrix-Induced Regularization Journal article
IEEE Access, 2019,Volume: 7,Page: 3967-3979
Authors:  Zhao Y.-P.;  Chen L.;  Gan M.;  Philip Chen C.L.
Favorite  |  View/Download:14/0  |  Submit date:2019/02/13
Fuzzy clustering  multiple kernel  regularization  unsupervised random forests  
A general result on the estimation bias of ARMA models Journal article
JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2018,Volume: 197,Page: 107-125
Authors:  Bao, Yong
Favorite  |  View/Download:9/0  |  Submit date:2018/10/30
ARMA  Maximum likelihood  Bias  
Parameter Estimation of Gaussian Mixture Model Based on Variational Bayesian Learning Conference paper
Proceedings - International Conference on Machine Learning and Cybernetics
Authors:  Zhao L.;  Shang Z.;  Qin A.;  Tang Y.Y.
Favorite  |  View/Download:1/0  |  Submit date:2019/02/11
Annealing algorithm  Gaussian mixture model  parameter estimation  tsallis-DAVBEM  variational bayes EM  
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, Lei;  Yang, Jian;  Zhang, Bob;  Jiang, Jielin;  Huang, Heng
Favorite  |  View/Download:4/0  |  Submit date:2019/01/17
Correlated group regression  expectation-maximization (EM)  robust image classification  scale mixture of matrix Gaussian distribution  sparse Bayesian learning (SBL)  
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:1/0  |  Submit date:2019/04/04
Correlated group regression  expectation-maximization (EM)  robust image classification  scale mixture of matrix Gaussian distribution  sparse Bayesian learning (SBL)  
Shared linear encoder-based Gaussian process latent variable model for visual classification Conference paper
MM 2018 - Proceedings of the 2018 ACM Multimedia Conference
Authors:  Li J.;  Lu G.;  Zhang B.;  Zhang D.
Favorite  |  View/Download:1/0  |  Submit date:2019/04/04
Classification  Gaussian process  Latent variable  Multi-view  
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:4/0  |  Submit date:2019/02/12
expectation maximization  Gaussian mixture model  local features  multiple point sets registration