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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:7/0  |  Submit date:2019/04/04
Correlated group regression  expectation-maximization (EM)  robust image classification  scale mixture of matrix Gaussian distribution  sparse Bayesian learning (SBL)  
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:9/0  |  Submit date:2019/01/17
Correlated group regression  expectation-maximization (EM)  robust image classification  scale mixture of matrix Gaussian distribution  sparse Bayesian learning (SBL)  
Pre-averaging estimate of high dimensional integrated covariance matrix with noisy and asynchronous high-frequency data Journal article
RANDOM MATRICES-THEORY AND APPLICATIONS, 2018,Volume: 7,Issue: 3
Authors:  Liu, Zhi;  Xia, Xiaochao;  Zhou, Guoliang
Favorite  |  View/Download:11/0  |  Submit date:2018/10/30
High-frequency Data  Volatility Estimation  Microstructure Noise  
Real-time substructural identification by boundary force modeling Journal article
STRUCTURAL CONTROL & HEALTH MONITORING, 2018,Volume: 25,Issue: 5
Authors:  Yuen, Ka-Veng;  Huang, Ke
Favorite  |  View/Download:16/0  |  Submit date:2018/10/30
Bayesian inference  extended Kalman filter  filtered white noise  noise covariance matrices  structural health monitoring  substructural identification  
Color Image Noise Covariance Estimation with Cross-Channel Image Noise Modeling Conference paper
proceeding of 2018 IEEE International Conference on Multimedia and Expo (ICME), San Diego, CA, USA, 23-27 July 2018
Authors:  Li Dong;  Jiantao Zhou;  Tao Dai
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Noise Covariance Estimation  Weakly Textured Patch  Color Image Denoising  
Online updating and uncertainty quantification using nonstationary output-only measurement Journal article
Mechanical Systems and Signal Processing, 2016,Volume: 66-67,Page: 62-77
Authors:  Yuen K.-V.;  Kuok S.-C.
Favorite  |  View/Download:6/0  |  Submit date:2019/02/12
Bayesian Inference  Extended Kalman Filter  Noise Covariance Matrices  Nonstationary Response  Structural Health Monitoring  System Identification  
On estimating the integrated co-volatility using noisy high-frequency data with jumps Journal article
Communications in Statistics - Theory and Methods, 2013,Volume: 42,Issue: 21,Page: 3889-3901
Authors:  Jing B.-Y.;  Li C.-X.;  Liu Z.
Favorite  |  View/Download:3/0  |  Submit date:2019/02/14
Central Limit Theorem  Co-volatility  High-frequency Data  Ito Semi-martingale  Jumps  Microstructure Noise  
Online estimation of noise parameters for Kalman filter Journal article
Structural Engineering and Mechanics, 2013,Volume: 47,Issue: 3,Page: 361
Authors:  Yuen K.-V.;  Liang P.-F.;  Kuok S.-C.
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Bayesian Probabilistic Approach  Kalman Filter  Measurement Noise  Online Algorithm  Process Noise  Structural Health Monitoring  
Selection of noise parameters for Kalman filter Journal article
Earthquake Engineering and Engineering Vibration, 2007,Volume: 6,Issue: 1,Page: 49
Authors:  Ka-Veng Yuen;  Ka-In Hoi;  Kai Meng Mok
Favorite  |  View/Download:8/0  |  Submit date:2018/10/30
Bayesian Inference  Kalman Filter  Measurement Noise  Process Noise  State Estimation