UM

Browse/Search Results:  1-7 of 7 Help

Selected(0)Clear Items/Page:    Sort:
Incorporating Linear Regression Problems Into An Adaptive Framework with Feasible Optimizations Journal article
IEEE Transactions on Multimedia, 2022
Authors:  Zhang, Hengmin;  Qian, Feng;  Zhang, Bob;  Du, Wenli;  Qian, Jianjun;  Yang, Jian
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2022/05/17
Adaptation Models  Convergence  Convergence Analysis The Authors Would Like To Thank The ediTors And The Anonymous Reviewers For Their Critical And Constructive Comments And Suggestions  Convex Vector And Matrix Norm  Iteratively Re-weighted Algorithm  Linear Regression  Linear Regression  Loss Measurement  Matrices  Optimization  Sparse Matrices  
A Survey on Knee-oriented Multi-objective Evolutionary Optimization Journal article
IEEE Transactions on Evolutionary Computation, 2022
Authors:  Yu, Guo;  Ma, Lianbo;  Jin, Yaochu;  Du, Wenli;  Liu, Qiqi;  Zhang, Hengmin
Favorite |  | TC[WOS]:0 TC[Scopus]:1 | Submit date:2022/05/17
Benchmark testing  Convergence  knee  multi-objective optimization.  Optimization  Pareto optimization  Preference  Sociology  Statistics  Visualization  
Factored Trace Lasso Based Linear Regression Methods: Optimizations and Applications Conference paper
Communications in Computer and Information Science, Zhuhai, China, 25-27 December, 2020
Authors:  Zhang, Hengmin;  Du, Wenli;  Liu, Xiaoqian;  Zhang, Bob;  Qian, Feng
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2022/05/13
Admm  Convergence Analysis  Kkt Conditions  Matrix Trace Lasso  Nuclear Norm Factorization  
Robust Recovery of Low Rank Matrix by Nonconvex Rank Regularization Conference paper
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Authors:  Zhang, Hengmin;  Luo, Wei;  Du, Wenli;  Qian, Jianjun;  Yang, Jian;  Zhang, Bob
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2022/05/13
Convergence analysis  KKT conditions  Low rank matrix recovery  Nonconve ADMM  Nonconvex rank regularization  
Low-Rank Matrix Recovery via Modified Schatten p Norm Minimization with Convergence Guarantees Journal article
IEEE Transactions on Image Processing, 2019,Volume: 29,Page: 3132-3142
Authors:  Zhang,Hengmin;  Qian,Jianjun;  Zhang,Bob;  Yang,Jian;  Gong,Chen;  Wei,Yang
Favorite |  | TC[WOS]:10 TC[Scopus]:9 | Submit date:2021/03/11
Convergence Guarantees  Iterative Singular Value Thresholding Algorithm  Kurdyka-łojasiewicz Property  Low-rank Matrix Recovery  Modified Schatten-p Norm  
Efficient Recovery of Low-Rank Matrix via Double Nonconvex Nonsmooth Rank Minimization Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2019,Volume: 30,Issue: 10,Page: 2916-2925
Authors:  Zhang,Hengmin;  Gong,Chen;  Qian,Jianjun;  Zhang,Bob;  Xu,Chunyan;  Yang,Jian
Favorite |  | TC[WOS]:12 TC[Scopus]:14 | Submit date:2021/03/11
Double Nonconvex Nonsmooth Rank (Nnr) Minimization  Iteratively Reweighted Singular Values Function (Svf) Algorithm  Low-rank Matrix Recovery  Nuclear Norm-based Minimization (Nnm)  
Weighted sparse coding regularized nonconvex matrix regression for robust face recognition Journal article
INFORMATION SCIENCES, 2017,Volume: 394–395,Page: 1-17
Authors:  Zhang, Hengmin;  Yang, Jian;  Xie, Jianchun;  Qian, Jianjun;  Zhang, Bob
Favorite |  | TC[WOS]:29 TC[Scopus]:34 | Submit date:2018/10/30
Nonconvex Matrix Regression  Weighted Sparse Coding  Inexact Augmented Lagrange Multiplier Method  Face Recognition