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Block sparse representation for pattern classification: Theory, extensions and applications Journal article
Pattern Recognition, 2019,Volume: 88,Page: 198-209
Authors:  Wang Y.;  Tang Y.Y.;  Li L.;  Zheng X.
Favorite  |  View/Download:7/0  |  Submit date:2019/02/11
Block sparsity  M-estimator  Representation based classifier  Subspace  
Huber collaborative representation for robust face identification Conference paper
International Conference on Wavelet Analysis and Pattern Recognition
Authors:  Wang Y.-L.;  Zou C.-M.;  Tang Y.Y.;  Yang L.-N.
Favorite  |  View/Download:2/0  |  Submit date:2019/02/11
Collaborative representation  Face recognition  M-estimation  
Pseudonym inference in cooperative vehicular traffic scenarios Conference paper
2018 IEEE Conference on Communications and Network Security, CNS 2018
Authors:  Chu X.;  Ruan N.;  Li M.;  Jia W.
Favorite  |  View/Download:2/0  |  Submit date:2019/04/04
Location privacy  mix-zone  vehicle platoon  vehicular ad-hoc networks (VANETs)  
Convergence Analysis of Distributed Inference with Vector-Valued Gaussian Belief Propagation Journal article
JOURNAL OF MACHINE LEARNING RESEARCH, 2018,Volume: 18
Authors:  Du, Jian;  Ma, Shaodan;  Wu, Yik-Chung;  Kar, Soummya;  Moura, Jose M. F.
Favorite  |  View/Download:12/0  |  Submit date:2018/10/30
Graphical Model  Large-scale Networks  Linear Gaussian Model  Markov Random Field  Walk-summability  
Consistency and asymptotics of a Poisson intensity least-squares estimator for partially observed jump-diffusion processes Journal article
STATISTICS & PROBABILITY LETTERS, 2017,Volume: 123,Page: 8-16
Authors:  Djouadi, Seddik M.;  Maroulas, Vasileios;  Pan, Xiaoyang;  Xiong, Jie
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Consistency  Asymptotic normality  Jump diffusions  Least-squares estimator  Poisson processes  Partially observed system  
The variational attitude estimator in the presence of bias in angular velocity measurements Conference paper
Proceedings of the American Control Conference, Boston, MA, JUL 06-08, 2016
Authors:  Izadi M.;  Viswanathan S.P.;  Sanyal A.;  Silvestre C.;  Oliveira P.
Favorite  |  View/Download:3/0  |  Submit date:2019/02/12
Robust learning of mixture models and its application on trial pruning for EEG signal analysis Conference paper
New Frontiers in Applied Data Mining, Shenzhen, China, 24-27 May 2011
Authors:  Wang B.;  Wan F.;  Mak P.U.;  Mak P.I.;  Vai M.I.
Favorite  |  View/Download:7/0  |  Submit date:2018/12/24
Deterministic Annealing  Eeg Signals  Mixture Models  Robust Learning  Trial Pruning  
Cyber security and privacy issues in smart grids Journal article
IEEE Communications Surveys and Tutorials, 2012,Volume: 14,Issue: 4,Page: 981
Authors:  Liu J.;  Xiao Y.;  Li S.;  Liang W.;  Chen C.L.P.
View  |  Adobe PDF(1244Kb)  |  Favorite  |  View/Download:184/6  |  Submit date:2018/10/30
Accountability  Ami  Privacy  Scada  Security  Smart Grid