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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  
SMDS-Net: Model Guided Spectral-Spatial Network for Hyperspectral Image Denoising Journal article
Fengchao Xiong, Jun Zhou, Shuyin Tao, Jianfeng Lu, Jiantao Zhou, Yuntao Qian. SMDS-Net: Model Guided Spectral-Spatial Network for Hyperspectral Image Denoising[J]. IEEE Transactions on Image Processing, 2022, 31, 5469-5483.
Authors:  Fengchao Xiong;  Jun Zhou;  Shuyin Tao;  Jianfeng Lu;  Jiantao Zhou; et al.
Favorite | TC[WOS]:39 TC[Scopus]:45  IF:10.8/12.1 | Submit date：2022/08/20
Hyperspectral Image Denoising  Model-based Neural Network  Low-rank Representation  Multidimensional Sparse Representation  
Graph-based sparse bayesian broad learning system for semi-supervised learning Journal article
Xu, Lili, Philip Chen, C. L., Han, Ruizhi. Graph-based sparse bayesian broad learning system for semi-supervised learning[J]. INFORMATION SCIENCES, 2022, 597, 193-210.
Authors:  Xu, Lili;  Philip Chen, C. L.;  Han, Ruizhi
Favorite | TC[WOS]:13 TC[Scopus]:13  IF:0/0 | Submit date：2022/05/13
Classification  Fast Marginal Likelihood Maximization  Graph-based Model  Manifold Regularization  Semi-supervised Learning  Sparse Bayesian Broad Learning System  
An Inverse-Free and Scalable Sparse Bayesian Extreme Learning Machine for Classification Problems Journal article
Luo, Jiahua, Vong, Chi Man, Liu, Zhenbao, Chen, Chuangquan. An Inverse-Free and Scalable Sparse Bayesian Extreme Learning Machine for Classification Problems[J]. IEEE Access, 2021, 9, 87543-87551.
Authors:  Luo, Jiahua;  Vong, Chi Man;  Liu, Zhenbao;  Chen, Chuangquan
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:3.4/3.7 | Submit date：2022/05/13
Inverse-free  Large Classification  Quasi-newton Method  Sparse Bayesian Extreme Learning Machine  Sparse Model  
An Inverse-Free and Scalable Sparse Bayesian Extreme Learning Machine for Classification Problems Journal article
Luo, J.H., Vong, C. M., Liu, Z.B., Chen, C.Q.. An Inverse-Free and Scalable Sparse Bayesian Extreme Learning Machine for Classification Problems[J]. IEEE Acess (SCI-E), 2021, 1-9.
Authors:  Luo, J.H.;  Vong, C. M.;  Liu, Z.B.;  Chen, C.Q.
Favorite |   IF:3.4/3.7 | Submit date：2022/08/09
Inverse-free  quasi-Newton method  sparse Bayesian extreme learning machine  large classification  sparse model  
Two-stage knowledge transfer framework for image classification Journal article
Zhou,Jianhang, Zeng,Shaoning, Zhang,Bob. Two-stage knowledge transfer framework for image classification[J]. Pattern Recognition, 2020, 107, 107529.
Authors:  Zhou,Jianhang;  Zeng,Shaoning;  Zhang,Bob
Favorite | TC[WOS]:18 TC[Scopus]:21  IF:7.5/7.6 | Submit date：2021/03/11
Image Classification  Sparse Representation  Teacher-student Model  Two-stage Classification  
Image Restoration via Simultaneous Nonlocal Self-Similarity Priors Journal article
Zhiyuan Zha, Xin Yuan, Jiantao Zhou, Ce Zhu, Bihan Wen. Image Restoration via Simultaneous Nonlocal Self-Similarity Priors[J]. IEEE Transactions on Image Processing, 2020, 29, 8561-8576.
Authors:  Zhiyuan Zha;  Xin Yuan;  Jiantao Zhou;  Ce Zhu;  Bihan Wen
Adobe PDF | Favorite | TC[WOS]:97 TC[Scopus]:107  IF:10.8/12.1 | Submit date：2021/03/11
Image Restoration  Structural Sparse Representation  Simultaneous Nonlocal Self-similarity  Gaussian Mixture Model  Adaptive Parameter Adjusting  
Learning Structurally Incoherent Background and Target Dictionaries for Hyperspectral Target Detection Journal article
Guo,Tan, Luo,Fulin, Zhang,Lei, Zhang,Bob, Tan,Xiaoheng, Zhou,Xiaocheng. Learning Structurally Incoherent Background and Target Dictionaries for Hyperspectral Target Detection[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, 13, 3521-3533.
Authors:  Guo,Tan;  Luo,Fulin;  Zhang,Lei;  Zhang,Bob;  Tan,Xiaoheng; et al.
Favorite | TC[WOS]:20 TC[Scopus]:23  IF:4.7/5.0 | Submit date：2021/03/11
Dictionary Decomposition  Hyperspectral Image (Hsi)  Low-rank Constraint  Sparse Model  Target Detection  
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  
A robust bi-sparsity model with non-local regularization for mixed noise reduction Journal article
Chen L., Liu L., Philip Chen C.L.. A robust bi-sparsity model with non-local regularization for mixed noise reduction[J]. Information Sciences, 2016, 354, 101-111.
Authors:  Chen L.;  Liu L.;  Philip Chen C.L.
Favorite | TC[WOS]:22 TC[Scopus]:24 | Submit date：2019/02/11
Bi-sparsity Model  Mixed Noise Reduction  Non-local Regularization  Sparse Representation