English | 繁體

Search in the results

UM

Browse/Search Results:  1-9 of 9 Help

Selected(0)Clear Items/Page:    Sort:
Probabilistic Nuclear-Norm Matrix Regression Regularized by Random Graph Theory Journal article
Zhou, Jianhang, Li, Shuyi, Zeng, Shaoning, Zhang, Bob. Probabilistic Nuclear-Norm Matrix Regression Regularized by Random Graph Theory[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2024.
Authors:  Zhou, Jianhang;  Li, Shuyi;  Zeng, Shaoning;  Zhang, Bob
Favorite | TC[WOS]:1 TC[Scopus]:0  IF:5.3/5.7 | Submit date：2024/05/16
Adaptation Models  Bayes Methods  Computational Intelligence  Computational Intelligence  Graph Theory  Nuclear Magnetic Resonance  Nuclear-norm Matrix Regression  Probabilistic Logic  Probability Theory  Random Graph  Structural Information  Training  
Robust and Sparse Least Square Regression for Finger Vein and Finger Knuckle Print Recognition Journal article
Li, Shuyi, Zhang, Bob, Wu, Lifang, Ma, Ruijun, Ning, Xin. Robust and Sparse Least Square Regression for Finger Vein and Finger Knuckle Print Recognition[J]. IEEE Transactions on Information Forensics and Security, 2024, 19, 2709-2719.
Authors:  Li, Shuyi;  Zhang, Bob;  Wu, Lifang;  Ma, Ruijun;  Ning, Xin
Favorite | TC[WOS]:1 TC[Scopus]:2  IF:6.3/7.3 | Submit date：2024/05/16
Finger-based Biometrics  Least Square Regression (Lsr)  Projection Learning  Sparse Transformation Matrix  
Incorporating Linear Regression Problems Into An Adaptive Framework with Feasible Optimizations Journal article
Zhang, Hengmin, Qian, Feng, Zhang, Bob, Du, Wenli, Qian, Jianjun, Yang, Jian. Incorporating Linear Regression Problems Into An Adaptive Framework with Feasible Optimizations[J]. IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 25, 4041-4051.
Authors:  Zhang, Hengmin;  Qian, Feng;  Zhang, Bob;  Du, Wenli;  Qian, Jianjun; et al.
Favorite | TC[WOS]:19 TC[Scopus]:13  IF:8.4/8.0 | Submit date：2022/05/17
Linear Regression  Convex Vector And Matrix Norm  Iteratively Re-weighted Algorithm  Convergence Analysis  
Low-rank matrix regression for image feature extraction and feature selection Journal article
Yuan, Haoliang, Li, Junyu, Lai, Loi Lei, Tang, Yuan Yan. Low-rank matrix regression for image feature extraction and feature selection[J]. Information Sciences, 2020, 522, 214-226.
Authors:  Yuan, Haoliang;  Li, Junyu;  Lai, Loi Lei;  Tang, Yuan Yan
Favorite | TC[WOS]:31 TC[Scopus]:34  IF:0/0 | Submit date：2021/12/06
Feature Extraction  Feature Selection  Low-rank  Matrix Regression  
Image decomposition based matrix regression with applications to robust face recognition Journal article
Qian,Jianjun, Yang,Jian, Xu,Yong, Xie,Jin, Lai,Zhihui, Zhang,Bob. Image decomposition based matrix regression with applications to robust face recognition[J]. Pattern Recognition, 2020, 102, 107204.
Authors:  Qian,Jianjun;  Yang,Jian;  Xu,Yong;  Xie,Jin;  Lai,Zhihui; et al.
Favorite | TC[WOS]:17 TC[Scopus]:20  IF:7.5/7.6 | Submit date：2021/03/11
Image Decomposition  Low Rank  Matrix Regression  Pattern Classification  
Joint sparse matrix regression and nonnegative spectral analysis for two-dimensional unsupervised feature selection Journal article
Yuan H., Li J., Lai L.L., Tang Y.Y.. Joint sparse matrix regression and nonnegative spectral analysis for two-dimensional unsupervised feature selection[J]. Pattern Recognition, 2019, 89, 119-133.
Authors:  Yuan H.;  Li J.;  Lai L.L.;  Tang Y.Y.
Favorite | TC[WOS]:29 TC[Scopus]:33 | Submit date：2019/02/11
Nonnegative Spectral Analysis  Sparse Matrix Regression  Two-dimensional Feature Selection  Unsupervised Learning  
Sparse structural feature selection for multitarget regression Journal article
Yuan, Haoliang, Zheng, Junjie, Lai, Loi Lei, Tang, Yuan Yan. Sparse structural feature selection for multitarget regression[J]. KNOWLEDGE-BASED SYSTEMS, 2018, 160, 200-209.
Authors:  Yuan, Haoliang;  Zheng, Junjie;  Lai, Loi Lei;  Tang, Yuan Yan
Favorite | TC[WOS]:10 TC[Scopus]:13  IF:7.2/7.4 | Submit date：2018/10/30
Multitarget Regression  Feature Selection  Structure Matrix  Inter-target Correlations  
Nonparametric Bayesian Correlated Group Regression with Applications to Image Classification Journal article
Luo L., Yang J., Zhang B., Jiang J., Huang H.. Nonparametric Bayesian Correlated Group Regression with Applications to Image Classification[J]. IEEE Transactions on Neural Networks and Learning Systems, 2018, 29(11), 5330-5344.
Authors:  Luo L.;  Yang J.;  Zhang B.;  Jiang J.;  Huang H.
Favorite | TC[WOS]:12 TC[Scopus]:16  IF:10.2/10.4 | Submit date：2019/04/04
Correlated Group Regression  Expectation-maximization (Em)  Robust Image Classification  Scale Mixture Of Matrix Gaussian Distribution  Sparse Bayesian Learning (Sbl)  
Weighted sparse coding regularized nonconvex matrix regression for robust face recognition Journal article
Zhang, Hengmin, Yang, Jian, Xie, Jianchun, Qian, Jianjun, Zhang, Bob. Weighted sparse coding regularized nonconvex matrix regression for robust face recognition[J]. INFORMATION SCIENCES, 2017, 394–395, 1-17.
Authors:  Zhang, Hengmin;  Yang, Jian;  Xie, Jianchun;  Qian, Jianjun;  Zhang, Bob
Favorite | TC[WOS]:52 TC[Scopus]:58  IF:0/0 | Submit date：2018/10/30
Nonconvex Matrix Regression  Weighted Sparse Coding  Inexact Augmented Lagrange Multiplier Method  Face Recognition