UM

Browse/Search Results:  1-10 of 56 Help

Selected(0)Clear Items/Page:    Sort:
ADMM Based Channel Estimation for RISs Aided Millimeter Wave Communications Journal article
IEEE Communications Letters, 2021,Volume: 25,Issue: 9,Page: 2894-2898
Authors:  Liu, Heng;  Zhang, Jiayi;  Wu, Qingqing;  Xiao, Huahua;  Ai, Bo
Favorite |  | TC[WOS]:1 TC[Scopus]:1 | Submit date:2021/11/22
Admm  Channel Estimation  Mmwave  Ris  
Joint Rate and Fairness Improvement Based on Adaptive Weighted Graph Matrix for Uplink SCMA with Randomly Distributed Users Journal article
IEEE Transactions on Communications, 2021,Volume: 69,Issue: 5,Page: 3106-3118
Authors:  Cheraghy, Maryam;  Chen, Wen;  Tang, Hongying;  Wu, Qingqing;  Li, Jun
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/11/22
Asymmetric Bipartite Matching  Multi-objective Optimization  Randomly Deployed Users  Resource Allocation  Sparse Code Multiple Access  
Sampling sparse representations with randomized measurement langevin dynamics Journal article
ACM Transactions on Knowledge Discovery from Data, 2021,Volume: 15,Issue: 2
Authors:  Wang,Kafeng;  Xiong,Haoyi;  Bian,Jiang;  Zhu,Zhanxing;  Gao,Qian;  Guo,Zhishan;  Xu,Cheng Zhong;  Huan,Jun;  Dou,Dejing
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/05/31
Compressive Sensing  Hamiltonian Monte Carlo  Lasso  
A matrix sampling approach for efficient SimRank computation Journal article
Information Sciences, 2020,Volume: 556,Page: 1-26
Authors:  Juan Lu;  Zhiguo Gong;  Yiyang Yang
Favorite |  | TC[WOS]:1 TC[Scopus]:1 | Submit date:2021/03/09
Matrix Sampling  Simrank  Steepest Descent  
SCMA Spectral and Energy Efficiency with QoS Conference paper
2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings, ELECTR NETWORK, DEC 07-11, 2020
Authors:  Jaber, Samira;  Chen, Wen;  Wang, Kunlun;  Wu, Qingqing
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/11/22
Dual Method  Energy Efficiency  Qos  Scma  Spectral Efficiency  
Discriminant and Sparsity Based Least Squares Regression with l1 Regularization for Feature Representation Conference paper
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Barcelona, Spain, 4-8 May 2020
Authors:  Zhao,Shuping;  Zhang,Bob;  Li,Shuyi
Favorite |  | TC[WOS]:0 TC[Scopus]:2 | Submit date:2021/03/11
Feature Representation  Image Classification  Least Squares Regression  
From Rank Estimation to Rank Approximation: Rank Residual Constraint for Image Restoration Journal article
IEEE Transactions on Image Processing, 2019,Volume: 29,Page: 3254-3269
Authors:  Zhiyuan Zha;  Xin Yuan;  Bihan Wen;  Jiantao Zhou;  Jiachao Zhang;  Ce Zhu
Favorite |  | TC[WOS]:16 TC[Scopus]:18 | Submit date:2021/03/11
Low-rank  Rank Residual Constraint  Nuclear Norm Minimization  Nonlocal Self-similarity  Group-based Sparse Representation  Image Restoration  
Class-Specific Reconstruction Transfer Learning for Visual Recognition across Domains Journal article
IEEE Transactions on Image Processing, 2019,Volume: 29,Page: 2424-2438
Authors:  Wang,Shanshan;  Zhang,Lei;  Zuo,Wangmeng;  Zhang,Bob
Favorite |  | TC[WOS]:21 TC[Scopus]:21 | Submit date:2021/03/11
Cross-domain Learning  Image Classification  Semi-supervised Learning  Transfer Learning  
Generalized compressed sensing with QR-based vision matrix learning for face recognition under natural scenes Journal article
Signal Processing: Image Communication, 2019,Volume: 77,Page: 11-19
Authors:  Ji-xin Liu;  Guang Han;  Ning Sun;  Xiao-fei Li;  Zhi-guo Gong;  Quan-sen Sun
Favorite |  | TC[WOS]:0 TC[Scopus]:1 | Submit date:2021/03/09
Face Recognition  Generalized Compressed Sensing  Low Density Parity Check Code Matrix  Qr-based Vision Matrix Learning  
Deep cascade model-based face recognition: When deep-layered learning meets small data Journal article
IEEE Transactions on Image Processing, 2019,Volume: 29,Page: 1016-1029
Authors:  Zhang,Lei;  Liu,Ji;  Zhang,Bob;  Zhang,David;  Zhu,Ce
Favorite |  | TC[WOS]:12 TC[Scopus]:22 | Submit date:2021/03/11
Corruption  Deep Cascade Model  Face Recognition  Representation Learning  Softmax Vector