Li-Ming Liu

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2023 J jnl
Robust Two-Dimensional T$\ell _{1}$-Norm Linear Discriminant Analysis for Image Recognition.
IEEE Signal Process. Lett.
Xiang-Fei Yang, Mengyi Zheng, Li-Ming Liu
2021 J jnl
General Plane-Based Clustering With Distribution Loss.
IEEE Trans. Neural Networks Learn. Syst.
Zhen Wang, Yuan-Hai Shao, Lan Bai, Chun-Na Li, Li-Ming Liu
2020 J jnl
Principal Component Analysis Based on T๐“
CoRR
Xiang-Fei Yang, Yuan-Hai Shao, Chun-Na Li, Li-Ming Liu, Nai-Yang Deng
2019 J jnl
A general model for plane-based clustering with loss function.
CoRR
Zhen Wang, Yuan-Hai Shao, Lan Bai, Chun-Na Li, Li-Ming Liu
2019 J jnl
Sparse L1-norm two dimensional linear discriminant analysis via the generalized elastic net regularization.
Neurocomputing
Chun-Na Li, Meng-Qi Shang, Yuan-Hai Shao, Yan Xu, Li-Ming Liu, Zhen Wang
2018 J jnl
Insensitive stochastic gradient twin support vector machines for large scale problems.
Inf. Sci.
Zhen Wang, Yuan-Hai Shao, Lan Bai, Chun-Na Li, Li-Ming Liu, Nai-Yang Deng
2017 J jnl
Stochastic Gradient Twin Support Vector Machine for Large Scale Problems.
CoRR
Zhen Wang, Yuan-Hai Shao, Lan Bai, Li-Ming Liu, Nai-Yang Deng
2017 J jnl
k-Proximal plane clustering.
Int. J. Mach. Learn. Cybern.
Li-Ming Liu, Yan-Ru Guo, Zhen Wang, Zhi-Min Yang, Yuan-Hai Shao
2016 J jnl
MBLDA: A novel multiple between-class linear discriminant analysis.
Inf. Sci.
Zhen Wang, Yuan-Hai Shao, Lan Bai, Chun-Na Li, Li-Ming Liu, Nai-Yang Deng
2015 J jnl
Combined outputs framework for twin support vector machines.
Appl. Intell.
Yuan-Hai Shao, Xiang-Yu Hua, Li-Ming Liu, Zhi-Min Yang, Nai-Yang Deng
2015 J jnl
Laplacian unit-hyperplane learning from positive and unlabeled examples.
Inf. Sci.
Yuan-Hai Shao, Wei-Jie Chen, Li-Ming Liu, Nai-Yang Deng