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Fusion of sparse non-co-located measurements from multiple sources for geotechnical site investigation Journal article
Guan, Zheng, Wang, Yu, Phoon, Kok Kwang. Fusion of sparse non-co-located measurements from multiple sources for geotechnical site investigation[J]. Canadian Geotechnical Journal, 2024, 61(8), 1574-1592.
Authors:  Guan, Zheng;  Wang, Yu;  Phoon, Kok Kwang
Favorite | TC[WOS]:4 TC[Scopus]:3  IF:3.0/3.9 | Submit date：2024/09/03
Compressive Sampling  Data Fusion  Geotechnical Site Characterization  Joint Representation  Sparse Data  
Bayesian nonparametric general regression with adaptive kernel bandwidth and its application to seismic attenuation Journal article
Ka-Veng Yuen, Wen-Jing Zhang, Wang-Ji Yan. Bayesian nonparametric general regression with adaptive kernel bandwidth and its application to seismic attenuation[J]. Advanced Engineering Informatics, 2022, 55, 101859.
Authors:  Ka-Veng Yuen;  Wen-Jing Zhang;  Wang-Ji Yan
Favorite | TC[WOS]:6 TC[Scopus]:7  IF:8.0/8.2 | Submit date：2023/02/08
Adaptive Bandwidth  General Regression  Model Class Selection  Seismic Attenuation  Sparse Data  Variable Selection  
Information Fusion: Machine Learning Methods Book
Li, Jinxing, Zhang, Bob, Zhang, David. Information Fusion: Machine Learning Methods[M]. Singapore:Springer Nature, 2022, 1-260.
Authors:  Li, Jinxing;  Zhang, Bob;  Zhang, David
Favorite | TC[Scopus]:2 | Submit date：2023/08/25
Classifier Fusion  Collaborative Representation  Data Fusion  Deep Learning  Information Fusion  Kernel  Metric Learning  Multi-feature Data  Multi-modal Data  Multi-view Data  Multi-view Learning  Sparse Representation  Weight Fusion  
Regularization on Augmented Data to Diversify Sparse Representation for Robust Image Classification Journal article
Zeng, S., Zhang, B., Gou, J., Xu, Y.. Regularization on Augmented Data to Diversify Sparse Representation for Robust Image Classification[J]. IEEE Transactions on Cybernetics, 2020, 52(6), 4935 - 4948.
Authors:  Zeng, S.;  Zhang, B.;  Gou, J.;  Xu, Y.
Favorite | TC[WOS]:28 TC[Scopus]:25  IF:9.4/10.3 | Submit date：2022/07/13
Data Augmentation  Diversification  Image Classification  Regularization  Sparse Representation  
Sparse Supervised Representation-Based Classifier for Uncontrolled and Imbalanced Classification Journal article
Shu,Ting, Zhang,Bob, Tang,Yuan Yan. Sparse Supervised Representation-Based Classifier for Uncontrolled and Imbalanced Classification[J]. IEEE Transactions on Neural Networks and Learning Systems, 2020, 31(8), 2847-2856.
Authors:  Shu,Ting;  Zhang,Bob;  Tang,Yuan Yan
Favorite | TC[WOS]:31 TC[Scopus]:36  IF:10.2/10.4 | Submit date：2021/03/11
Data Driven  Face Recognition  Imbalanced Classification  Spare Supervised Representation-based Classifier (Ssrc)  Sparse Representation-based Classification (Src)  
Sparse bayesian kernel multinomial probit regression model for high-dimensional data classification Journal article
Aijun Yang, Xuejun Jiang, Lianjie Shu, Pengfei Liu. Sparse bayesian kernel multinomial probit regression model for high-dimensional data classification[J]. Communications in Statistics - Theory and Methods, 2019, 48(1), 165-176.
Authors:  Aijun Yang;  Xuejun Jiang;  Lianjie Shu;  Pengfei Liu
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:0.6/0.8 | Submit date：2019/08/01
Correlation Prior  High-dimensional Data Classification  Multicategory Support Vector Machine  Sparse Bayesian Method  
Kernel Regularized Data Uncertainty for Action Recognition Journal article
Feng, Qingxiang, Zhou, Yicong. Kernel Regularized Data Uncertainty for Action Recognition[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2017, 27(3), 577-588.
Authors:  Feng, Qingxiang;  Zhou, Yicong
Favorite | TC[WOS]:6 TC[Scopus]:7  IF:8.3/7.1 | Submit date：2018/10/30
Action Recognition  Data Uncertainty (Du)  Kernel Sparse Representation Classification  Sparse-representation-based Classification (Src)  
Bayesian variable selection with sparse and correlation priors for high-dimensional data analysis Journal article
Aijun Yang, Xuejun Jiang, Lianjie Shu, Jinguan Lin. Bayesian variable selection with sparse and correlation priors for high-dimensional data analysis[J]. COMPUTATIONAL STATISTICS, 2017, 32(1), 127-143.
Authors:  Aijun Yang;  Xuejun Jiang;  Lianjie Shu;  Jinguan Lin
Favorite | TC[WOS]:5 TC[Scopus]:6  IF:1.0/1.3 | Submit date：2018/10/30
Bayesian Variable Selection  Sparse Prior  Correlation Prior  Probit Model  High-dimensional Data Classification  
Convergence rate of the semi-supervised greedy algorithm Journal article
Hong Chen, Yicong Zhou, Yuan Yan Tang, Luoqing Li, Zhibin Pan. Convergence rate of the semi-supervised greedy algorithm[J]. Neural Networks, 2013, 44, 44-50.
Authors:  Hong Chen;  Yicong Zhou;  Yuan Yan Tang;  Luoqing Li;  Zhibin Pan
Favorite | TC[WOS]:17 TC[Scopus]:19  IF:6.0/7.9 | Submit date：2018/12/21
Semi-supervised Learning  Sparse  Greedy Algorithm  Data-dependent Hypothesis Space  Generalization Error