UM

Browse/Search Results:  1-10 of 10 Help

Selected(0)Clear Items/Page:    Sort:
A new nonlocal means based framework for mixed noise removal Journal article
Neurocomputing, 2021,Volume: 431,Page: 57-68
Authors:  Jiang,Jielin;  Yang,Kang;  Yang,Jian;  Yang,Zhi Xin;  Chen,Yadang;  Luo,Lei
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/03/11
Convolutional neural network  Gradient regularization  Low rank approximation  Mixed noise removal  Nonlocal self-similarity  
Approximate empirical kernel map-based iterative extreme learning machine for clustering Journal article
Neural Computing and Applications, 2020,Volume: 32,Issue: 12,Page: 8031-8046
Authors:  Chen,Chuangquan;  Vong,Chi Man;  Wong,Pak Kin;  Tai,Keng Iam
Favorite |  | TC[WOS]:0 TC[Scopus]:1 | Submit date:2021/03/09
Approximate empirical kernel map  Compact model  Extreme learning machine  Kernel learning  Maximum margin clustering  
From Rank Estimation to Rank Approximation: Rank Residual Constraint for Image Restoration Journal article
IEEE Transactions on Image Processing, 2020,Volume: 29,Page: 3254-3269
Authors:  Zha,Zhiyuan;  Yuan,Xin;  Wen,Bihan;  Zhou,Jiantao;  Zhang,Jiachao;  Zhu,Ce
Favorite |  | TC[WOS]:10 TC[Scopus]:11 | Submit date:2021/03/11
group-based sparse representation  image restoration  Low-rank  nonlocal self-similarity  nuclear norm minimization  rank residual constraint  
Robust Nonconvex Nonnegative Low-rank Representation Conference paper
2019 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2019
Authors:  Zhao,Yin Ping;  Lu,Xiliang;  Chen,Long;  Tian,Jinyu;  Chen,C. L.Philip
Favorite |  | TC[WOS]:0 TC[Scopus]:1 | Submit date:2021/03/09
ADMM  low-rank representation  nonconvex  Nonnegative  regularization  
A Comparative Study for the Nuclear Norms Minimization Methods Conference paper
Proceedings - International Conference on Image Processing, ICIP
Authors:  Zha,Zhiyuan;  Wen,Bihan;  Zhang,Jiachao;  Zhou,Jiantao;  Zhu,Ce
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/03/11
GSR  image denoising  Low-rank matrix approximation  NNM  WNNM  
Total variation regularized low-rank tensor approximation for color image denoising Conference paper
2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Miyazaki, Japan, Japan, 7-10 Oct. 2018
Authors:  Yongyong Chen;  Yicong Zhou
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2019/03/26
Low-rank Tensor Approximation  Tensor-singular Value Decomposition  Color Image Denoising  
Tensor Nuclear Norm-Based Low-Rank Approximation With Total Variation Regularization Journal article
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2018,Volume: 12,Issue: 6,Page: 1364-1377
Authors:  Chen, Yongyong;  Wang, Shuqin;  Zhou, Yicong
Favorite |  | TC[WOS]:16 TC[Scopus]:16 | Submit date:2019/01/17
Low-rank tensor approximation  tensor nuclear norm  hyper total variation  spatial-spectral total variation  image denoising  
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 |  | TC[WOS]:13 TC[Scopus]:14 | Submit date:2018/10/30
Kernel Learning  Multilayer Extreme Learning Machine (Ml-elm)  Empirical Kernel Map (Ekm)  Representation Learning  Stacked Autoencoder (Sae)  
ROBUST PRINCIPAL COMPONENT ANALYSIS WITH MATRIX FACTORIZATION Conference paper
2018 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), Calgary, CANADA, APR 15-20, 2018
Authors:  Chen, Yongyong;  Zhou, Yicong
Favorite |  | TC[WOS]:2 TC[Scopus]:0 | Submit date:2018/10/30
Robust Pca  Matrix Factorization  Non-convex Regularizer  Background Subtraction  
Total variation norm-based nonnegative matrix factorization for identifying discriminant representation of image patterns Journal article
Neurocomputing, 2008,Volume: 71,Issue: 10-12,Page: 1824-1831
Authors:  Zhang T.;  Fang B.;  Liu W.;  Tang Y.Y.;  He G.;  Wen J.
Favorite |  | TC[WOS]:14 TC[Scopus]:18 | Submit date:2019/02/11
Discriminant representation of image patterns  Nonnegative matrix factorization  Total variation norm