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Canonical Correlation Analysis Regularization: An Effective Deep Multi-View Learning Baseline for RGB-D Object Recognition Journal article
IEEE Transactions on Cognitive and Developmental Systems, 2019,Volume: 11,Issue: 1,Page: 107 - 118
Authors:  Lulu Tang;  Zhi-Xin Yang;  Kui Jia
Favorite | View/Download:40/0 | TC[WOS]:2 TC[Scopus]:7 | Submit date:2019/04/04
A GPU-based training of BP neural network for healthcare data analysis Conference paper
Lecture Notes in Electrical Engineering
Authors:  Song W.;  Zou S.;  Tian Y.;  Fong S.
Favorite | View/Download:12/0 | TC[WOS]:0 TC[Scopus]:0 | Submit date:2019/02/13
BP neural network  GPU  Healthcare analysis  
Siamese Dense Neural Network for Software Defect Prediction with Small Data Journal article
IEEE Access, 2019,Volume: 7,Page: 7663-7677
Authors:  Zhao L.;  Shang Z.;  Zhao L.;  Qin A.;  Tang Y.Y.
Favorite | View/Download:28/0 | TC[WOS]:5 TC[Scopus]:11 | Submit date:2019/02/11
deep learning  few-shot learning  metric learning  Siamese dense neural networks  software defect prediction  
An Efficient Fault Diagnostic Method for Three-Phase Induction Motors Based on Incremental Broad Learning and Non-Negative Matrix Factorization Journal article
IEEE Access, 2019,Volume: 7,Page: 17780-17790
Authors:  Jiang S.B.;  Wong P.K.;  Guan R.;  Liang Y.;  Li J.
Favorite | View/Download:34/0 | TC[WOS]:7 TC[Scopus]:13 | Submit date:2019/03/26
Fault Diagnosis  Feature Extraction  Incremental Board Learning  Non-negative Matrix Factorization  Three-phase Induction Motor  
Dynamic group optimisation algorithm for training feed-forward neural networks Journal article
NEUROCOMPUTING, 2018,Volume: 314,Page: 1-19
Authors:  Tang, Rui;  Fong, Simon;  Deb, Suash;  Vasilakos, Athanasios V.;  Millham, Richard C.
Favorite | View/Download:36/0 | TC[WOS]:5 TC[Scopus]:7 | Submit date:2018/10/30
Dynamic group optimisation algorithm  Metaheuristic algorithm  Neural network  
Discriminative graph regularized broad learning system for image recognition Journal article
SCIENCE CHINA-INFORMATION SCIENCES, 2018,Volume: 61,Issue: 11
Authors:  Jin, Junwei;  Liu, Zhulin;  Chen, C. L. Philip
Favorite | View/Download:39/0 | TC[WOS]:14 TC[Scopus]:30 | Submit date:2019/01/17
broad learning system  deep learning  graph regularization  image recognition  feature extraction  incremental learning  
Classifying 3D objects in LiDAR point clouds with a back-propagation neural network Journal article
HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES, 2018,Volume: 8
Authors:  Song, Wei;  Zou, Shuanghui;  Tian, Yifei;  Fong, Simon;  Cho, Kyungeun
Favorite | View/Download:12/0 | TC[WOS]:9 TC[Scopus]:14 | Submit date:2018/10/31
3D object recognition  Back-propagation neural network  Feature extraction  LiDAR point cloud  
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 | View/Download:1325/104 | TC[WOS]:12 TC[Scopus]:25 | Submit date:2018/10/30
Fuzzy logic systems (FLSs)  identifier-actor-critic architecture  multi-agent formation  optimized formation control  reinforcement learning (RL)  
Fusing multi-scale information in convolution network for MR image super-resolution reconstruction Journal article
BIOMEDICAL ENGINEERING ONLINE, 2018,Volume: 17
Authors:  Liu, Chang;  Wu, Xi;  Yu, Xi;  Tang, YuanYan;  Zhang, Jian;  Zhou, JiLiu
Favorite | View/Download:22/0 | TC[WOS]:4 TC[Scopus]:8 | Submit date:2018/10/30
Super-resolution reconstruction  Multi-scale information fusion  Convolution network  Magnetic resonance imaging  
Locating splicing forgery by fully convolutional networks and conditional random field Journal article
SIGNAL PROCESSING-IMAGE COMMUNICATION, 2018,Volume: 66,Page: 103-112
Authors:  Liu, Bo;  Pun, Chi-Man
Favorite | View/Download:31/0 | TC[WOS]:4 TC[Scopus]:12 | Submit date:2018/10/30
Splicing Forgery  Deep Neural Network  Fully Convolutional Network  Conditional Random Field