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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
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View/Download:13/0
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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.
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View/Download:3/0
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Submit date:2019/02/13
BP neural network
GPU
Healthcare analysis
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.
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View/Download:4/0
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Submit date:2019/03/26
Fault Diagnosis
Feature Extraction
Incremental Board Learning
Non-negative Matrix Factorization
Three-phase Induction Motor
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.
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View/Download:14/0
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Submit date:2019/02/11
deep learning
few-shot learning
metric learning
Siamese dense neural networks
software defect prediction
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.
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View/Download:20/0
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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
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View/Download:23/0
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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
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  |  
View/Download:3/0
  |  
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
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View/Download:173/24
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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
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View/Download:10/0
  |  
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
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View/Download:16/0
  |  
Submit date:2018/10/30
Splicing Forgery
Deep Neural Network
Fully Convolutional Network
Conditional Random Field