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Unsupervised Learning 3D Local Feature from Raw Voxels based on A Novel Permutation Voxelization Strategy Journal article
IEEE TRANSACTIONS ON CYBERNETIC, 2019,Volume: 49,Issue: 2,Page: 481 - 494
Authors:  Zhizhong Han;  Zhenbao Liu;  Junwei Han;  Chi-Man Vong;  Shuhui Bu;  C. L. Philip Chen
Favorite  |  View/Download:11/0  |  Submit date:2019/04/29
3-d Local Features  3-d Voxelization  Deep Learning  Stacked Sparse Autoencoder (Ssae)  Unsupervised Feature Learning  
An improved feature extraction algorithm for automatic defect identification based on eddy current pulsed thermography Journal article
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2018,Volume: 113,Page: 5-21
Authors:  Zhu, Peipei;  Yin, Chun;  Cheng, Yuhua;  Huang, Xuegang;  Cao, Jiuwen;  Vong, Chi-Man;  Wong, Pak Kin
Favorite  |  View/Download:26/0  |  Submit date:2018/10/30
Eddy Current Pulsed Thermography  Nondestructive Testing And Evaluation  Transient Thermal Response  Pearson Correlation Coefficient  
Postboosting Using Extended G-Mean for Online Sequential Multiclass Imbalance Learning Journal article
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018,Volume: 29,Issue: 12,Page: 6163-6177
Authors:  Vong, Chi-Man;  Du, Jie;  Wong, Chi-Man;  Cao, Jiu-Wen
Favorite  |  View/Download:9/0  |  Submit date:2019/01/17
Dynamic changing distribution  extreme learning machine  imbalance class distribution  multiclass imbalance learning  online sequential learning  
A novel distance estimation algorithm for periodic surface vibrations based on frequency band energy percentage feature Journal article
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2018,Volume: 113,Page: 222-236
Authors:  Cao, Jiuwen;  Wang, Tianlei;  Shang, Luming;  Wang, Jianzhong;  Vong, Chi-Man;  Yin, Chun;  Huang, Xuegang
Favorite  |  View/Download:38/0  |  Submit date:2018/10/30
Periodic Vibration Signal Processing  Distance Prediction System  Fundamental Frequency Estimation  Frequency Band Energy Percentage  Cepstrum  
Empirical kernel map-based multilayer extreme learning machines for representation learning Journal article
NEUROCOMPUTING, 2018,Volume: 310,Page: 265-276
Authors:  Chi-Man Vong;  Chen, Chuangquan;  Wong, Pak-Kin
Favorite  |  View/Download:92/0  |  Submit date:2018/10/30
Kernel Learning  Multilayer Extreme Learning Machine (Ml-elm)  Empirical Kernel Map (Ekm)  Representation Learning  Stacked Autoencoder (Sae)  
Efficient extreme learning machine via very sparse random projection Journal article
SOFT COMPUTING, 2018,Volume: 22,Issue: 11,Page: 3563-3574
Authors:  Chen, Chuangquan;  Vong, Chi-Man;  Wong, Chi-Man;  Wang, Weiru;  Wong, Pak-Kin
Favorite  |  View/Download:70/0  |  Submit date:2018/10/30
Extreme Learning Machine (Elm)  Sparse-bernoulli Matrix  Very Sparse Random Projection  Dimension Reduction  Compression Layer  
Efficient point-by-point engine calibration using machine learning and sequential design of experiment strategies Journal article
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2018,Volume: 355,Issue: 4,Page: 1517-1538
Authors:  Wong, Pak Kin;  Gao, Xiang Hui;  Wong, Ka In;  Vong, Chi Man
Favorite  |  View/Download:21/0  |  Submit date:2018/10/30
Kernel-Based Multilayer Extreme Learning Machines for Representation Learning Journal article
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018,Volume: 29,Issue: 3,Page: 757-762
Authors:  Wong, Chi Man;  Vong, Chi Man;  Wong, Pak Kin;  Cao, Jiuwen
Favorite  |  View/Download:13/0  |  Submit date:2018/10/30
Kernel Learning  Multilayer Extreme Learning Machine (Ml-elm)  Representation Learning  Stacked Autoencoder (Sae)  
Online extreme learning machine based modeling and optimization for point-by-point engine calibration Journal article
NEUROCOMPUTING, 2018,Volume: 277,Page: 187-197
Authors:  Wong, Pak Kin;  Gao, Xiang Hui;  Wong, Ka In;  Vong, Chi Man
Favorite  |  View/Download:15/0  |  Submit date:2018/10/30
Engine Calibration  Engine Modeling  Engine Optimization  Initial-training-free Online Extreme Learning Machine  
Online Sequential Extreme Learning Machine with Under-Sampling and Over-Sampling for Imbalanced Big Data Classification Conference paper
International Conference on Extreme Learning Machine 2016 (ELM2016), Singapore, December, 2016
Authors:  Du, Jie;  Vong, Chi-Man;  Chang, Yajie;  Jiao, Yang
Favorite  |  View/Download:7/0  |  Submit date:2018/10/30
Big Data  Imbalance Learning  Os-elm  Under-sampling  Over-sampling