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Hyperspectral Image Super-resolution via Deep Progressive Zero-centric Residual Learning Journal article
IEEE Transactions on Image Processing, 2020
Authors:  Zhu,Zhiyu;  Hou,Junhui;  Chen,Jie;  Zeng,Huanqiang;  Zhou,Jiantao
Favorite |  | TC[WOS]:1 TC[Scopus]:1 | Submit date:2021/03/11
cross-modality  deep learning  Hyperspectral imagery  Hyperspectral imaging  image fusion  Image reconstruction  Optimization  Principal component analysis  Residual neural networks  Spatial resolution  super-resolution  Tensors  zero-mean normalization  
COMO: Widening Deep Neural Networks with COnvolutional MaxOut Journal article
IEEE Transactions on Multimedia, 2020
Authors:  Zhao,Baoxin;  Xiong,Haoyi;  Bian,Jiang;  Guo,Zhishan;  Xu,Cheng Zhong;  Dou,Dejing
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/03/09
Computer architecture  Convolution  Convolutional neural networks  Deep learning  Spatial resolution  Transforms  
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 |  | TC[WOS]:7 TC[Scopus]:11 | 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 |  | TC[WOS]:7 TC[Scopus]:11 | Submit date:2019/01/17
Correlated group regression  expectation-maximization (EM)  robust image classification  scale mixture of matrix Gaussian distribution  sparse Bayesian learning (SBL)  
Optimized Multi-Agent Formation Control Based on an Identifier-Actor--Critic Reinforcement Learning Algorithm Journal article
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018,Volume: 26,Issue: 5,Page: 2719-2731
Authors:  Wen, Guoxing;  Chen, C. L. Philip;  Feng, Jun;  Zhou, Ning
View | Adobe PDF | Favorite |  | TC[WOS]:26 TC[Scopus]:29 | Submit date:2018/10/30
Fuzzy logic systems (FLSs)  identifier-actor-critic architecture  multi-agent formation  optimized formation control  reinforcement learning (RL)  
Towards implementation of residual-feedback GMDH neural network on parallel GPU memory guided by a regression curve Journal article
Journal of Supercomputing, 2016,Volume: 72,Issue: 10,Page: 3993-4020
Authors:  Brito R.;  Fong S.;  Cho K.;  Song W.;  Wong R.;  Mohammed S.;  Fiaidhi J.
Favorite |  | TC[WOS]:2 TC[Scopus]:3 | Submit date:2019/02/13
Artificial neural networks  CUDA  GMDH  GPU  NVIDIA  Parallel execution  
Towards implementation of residual-feedback GMDH neural network on parallel GPU memory guided by a regression curve Journal article
Journal of Supercomputing, 2016,Volume: 72,Issue: 10,Page: 3993-4020
Authors:  Brito,Ricardo;  Fong,Simon;  Cho,Kyungeun;  Song,Wei;  Wong,Raymond;  Mohammed,Sabah;  Fiaidhi,Jinan
Favorite |  | TC[WOS]:2 TC[Scopus]:3 | Submit date:2021/03/09
Artificial neural networks  CUDA  GMDH  GPU  NVIDIA  Parallel execution  
Prediction of Major Earthquakes as Rare Events Using RF-Typed Polynomial Neural Networks Book chapter
出自: Encyclopedia of Information Science and Technology, Third Edition:IGI Global, 2015
Authors:  Fong, Simon;  Deb, Suash
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2019/07/24
Neural Networks  Autoregressive Integrated Moving Average Model (Arima)  Time-series  Hurst Factor  Goodness-of-fit  Curve Fitting  
Rare Events Forecasting Using a Residual-Feedback GMDH Neural Network Conference paper
Proceedings - 12th IEEE International Conference on Data Mining Workshops, ICDMW 2012, Brussels, Belgium, 10-13 Dec. 2012
Authors:  Simon Fong;  Zhou Nannan;  Raymond K. Wong;  Xin-She Yang
Favorite |  | TC[WOS]:8 TC[Scopus]:8 | Submit date:2019/02/13
Data Pre-processing  Earthquake Prediction  Gmdh  Ground Ozone  Neural Network  Time Series Forecasting  
Rare events forecasting using a residual-feedback GMDH neural network Conference paper
Proceedings - 12th IEEE International Conference on Data Mining Workshops, ICDMW 2012
Authors:  Fong,Simon;  Nannan,Zhou;  Wong,Raymond K.;  Yang,Xin She
Favorite |  | TC[WOS]:8 TC[Scopus]:8 | Submit date:2021/03/09
Data Pre-processing  Earthquake prediction  GMDH  Ground ozone  Neural network  Time series forecasting