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Zhizheng Liang
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2020 – today
- 2024
- [j40]Zhizheng Liang, Yuhan Min:
Robust support function machines for set-valued data classification. Int. J. Approx. Reason. 174: 109281 (2024) - [j39]Zhizheng Liang, Lei Zhang:
Erratum to 'L1-norm discriminant analysis via Bhattacharyya error bounds under Laplace distributions' [Pattern Recognition 141 (2023) 109609]. Pattern Recognit. 146: 110070 (2024) - [j38]Zhizheng Liang, Shifei Ding:
Fuzzy Twin Support Vector Machines With Distribution Inputs. IEEE Trans. Fuzzy Syst. 32(1): 240-254 (2024) - 2023
- [j37]Zhizheng Liang, Lei Zhang:
L1-norm discriminant analysis via Bhattacharyya error bounds under Laplace distributions. Pattern Recognit. 141: 109609 (2023) - 2022
- [j36]Zhizheng Liang, Lei Zhang:
Intuitionistic fuzzy twin support vector machines with the insensitive pinball loss. Appl. Soft Comput. 115: 108231 (2022) - [j35]Jie Liu, Lei Zhang, Shaojie Zhu, Bailong Liu, Zhizheng Liang, Susong Yang:
Exploring Complex Dependencies for Multi-modal Semantic Trajectory Prediction. Neural Process. Lett. 54(2): 961-985 (2022) - [j34]Zhizheng Liang, Lei Zhang:
Uncertainty-aware twin support vector machines. Pattern Recognit. 129: 108706 (2022) - 2021
- [j33]Bailong Liu, Xiaoyan Zhu, Lei Zhang, Zhizheng Liang, Zhengwei Li:
Combined embedding model for MiRNA-disease association prediction. BMC Bioinform. 22(1): 161 (2021) - [j32]Zhizheng Liang, Lei Zhang:
Support vector machines with the ε-insensitive pinball loss function for uncertain data classification. Neurocomputing 457: 117-127 (2021) - 2020
- [j31]Zhizheng Liang, Lei Zhang, Jin Liu, Yong Zhou:
Adaptively weighted learning for twin support vector machines via Bregman divergences. Neural Comput. Appl. 32(8): 3323-3336 (2020) - [j30]Lei Zhang, Zhizheng Liang:
Robust Two-Dimensional Linear Discriminant Analysis via Information Divergence. Neural Process. Lett. 52(3): 2513-2535 (2020) - [j29]Zhizheng Liang, Xue-wen Chen, Lei Zhang, Jin Liu, Yong Zhou:
Locality preserving difference component analysis based on the Lq norm. Pattern Anal. Appl. 23(2): 735-749 (2020) - [j28]Zhizheng Liang, Xue-wen Chen, Lei Zhang, Jin Liu, Yong Zhou:
Correlation classifiers based on data perturbation: New formulations and algorithms. Pattern Recognit. 100: 107106 (2020)
2010 – 2019
- 2018
- [j27]Lei Zhang, Qingfu Fan, Guoxing Zhang, Zhizheng Liang:
Fast Time-Aware Sparse Trajectories Prediction with Tensor Factorization. IEICE Trans. Inf. Syst. 101-D(7): 1959-1962 (2018) - [j26]Lei Zhang, Guoxing Zhang, Zhizheng Liang, Qingfu Fan, Yadong Li:
Predicting Taxi Destination by Regularized RNN with SDZ. IEICE Trans. Inf. Syst. 101-D(8): 2141-2144 (2018) - [j25]Jin Liu, Tuan D. Pham, Hong Yan, Zhizheng Liang:
Fuzzy mixed-prototype clustering algorithm for microarray data analysis. Neurocomputing 276: 42-54 (2018) - [j24]Zhizheng Liang:
Matrix-based subspace analysis with the general norm for image feature extraction. Pattern Anal. Appl. 21(3): 755-768 (2018) - 2017
- [i1]Zhizheng Liang, Lei Zhang, Jin Liu, Yong Zhou:
A novel total variation model based on kernel functions and its application. CoRR abs/1711.06948 (2017) - 2016
- [j23]Zhicheng Lu, Zhizheng Liang, Lei Zhang, Jin Liu, Yong Zhou:
Improving Face Image Representation Using Tangent Vectors and the L1 Norm. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 99-A(11): 2099-2103 (2016) - [j22]Zhicheng Lu, Zhizheng Liang:
A Complete Subspace Analysis of Linear Discriminant Analysis and Its Robust Implementation. J. Electr. Comput. Eng. 2016: 3919472:1-3919472:10 (2016) - 2015
- [j21]Zhizheng Liang, Lei Zhang, Jin Liu:
A Novel Multiple Kernel Learning Method Based on the Kullback-Leibler Divergence. Neural Process. Lett. 42(3): 745-762 (2015) - 2014
- [j20]Zhizheng Liang, Ning Liu:
Efficient Feature Scaling for Support Vector Machines with a Quadratic Kernel. Neural Process. Lett. 39(3): 235-246 (2014) - 2013
- [j19]Zhizheng Liang, Shixiong Xia, Yong Zhou:
Normalized discriminant analysis for dimensionality reduction. Neurocomputing 110: 153-159 (2013) - [j18]Zhizheng Liang, Shixiong Xia, Yong Zhou, Lei Zhang:
Training Lp norm multiple kernel learning in the primal. Neural Networks 46: 172-182 (2013) - [j17]Zhizheng Liang, Youfu Li, Shixiong Xia:
Adaptive weighted learning for linear regression problems via Kullback-Leibler divergence. Pattern Recognit. 46(4): 1209-1219 (2013) - [j16]Zhizheng Liang, Shixiong Xia, Yong Zhou, Lei Zhang, Youfu Li:
Feature extraction based on Lp-norm generalized principal component analysis. Pattern Recognit. Lett. 34(9): 1037-1045 (2013) - [c7]Zhizheng Liang, Shixiong Xia, Jin Liu, Yong Zhou, Lei Zhang:
A Majorization-Minimization Approach to Lq Norm Multiple Kernel Learning. ACPR 2013: 366-370 - [c6]Jin Liu, Qianping Wang, Zhizheng Liang, Wei Chen:
A Fuzzy Mix-Prototype Clustering Algorithm for Leukemia Data Analysis. IScIDE 2013: 176-183 - [c5]Jin Liu, Qianping Wang, Zhizheng Liang, Wei Chen:
Time-Varying Distributed Resource Allocation Based on Thermal Minority Game. IScIDE 2013: 230-237 - 2012
- [j15]Zhizheng Liang, Youfu Li:
Beltrami flow in Hilbert space with applications to image denoising. J. Electronic Imaging 21(4): 043019 (2012) - 2011
- [j14]Zhizheng Liang, Shixiong Xia, Yong Zhou, Youfu Li:
Blockwise projection matrix versus blockwise data on undersampled problems: Analysis, comparison and applications. Pattern Recognit. 44(10-11): 2774-2785 (2011) - 2010
- [j13]Zhizheng Liang, Youfu Li:
A regularization framework for robust dimensionality reduction with applications to image reconstruction and feature extraction. Pattern Recognit. 43(4): 1269-1281 (2010) - [j12]Zhizheng Liang, Youfu Li, Tuo Zhao:
Projected gradient method for kernel discriminant nonnegative matrix factorization and the applications. Signal Process. 90(7): 2150-2163 (2010)
2000 – 2009
- 2009
- [j11]Zhizheng Liang, Youfu Li:
Incremental support vector machine learning in the primal and applications. Neurocomputing 72(10-12): 2249-2258 (2009) - 2008
- [j10]Tuo Zhao, Zhizheng Liang, David Zhang, Quan Zou:
Interest filter vs. interest operator: Face recognition using Fisher linear discriminant based on interest filter representation. Pattern Recognit. Lett. 29(13): 1849-1857 (2008) - [j9]Zhizheng Liang, Youfu Li, Pengfei Shi:
A note on two-dimensional linear discriminant analysis. Pattern Recognit. Lett. 29(16): 2122-2128 (2008) - 2007
- [j8]Zhizheng Liang, David Zhang, Pengfei Shi:
The theoretical analysis of GLRAM and its applications. Pattern Recognit. 40(3): 1032-1041 (2007) - [c4]Tuo Zhao, Zhizheng Liang, David Zhang, Yahui Liu:
A Novel Null Space-Based Kernel Discriminant Analysis for Face Recognition. ICB 2007: 547-556 - 2006
- [j7]Zhizheng Liang, David Zhang, Pengfei Shi:
Robust kernel discriminant analysis and its application to feature extraction and recognition. Neurocomputing 69(7-9): 928-933 (2006) - [c3]Zhizheng Liang, Pengfei Shi, David Zhang:
Two-Dimensional Fisher Discriminant Analysis and Its Application to Face Recognition. ACCV (1) 2006: 130-139 - [c2]Zhizheng Liang, Tuo Zhao:
Feature selection for linear support vector machines. ICPR (2) 2006: 606-609 - [c1]Zhizheng Liang:
High-dimensional discriminant analysis and its application to color face images. ICPR (2) 2006: 917-920 - 2005
- [j6]Zhizheng Liang, Pengfei Shi:
Uncorrelated discriminant vectors using a kernel method. Pattern Recognit. 38(2): 307-310 (2005) - [j5]Zhizheng Liang, Pengfei Shi:
Kernel direct discriminant analysis and its theoretical foundatio. Pattern Recognit. 38(3): 445-447 (2005) - [j4]Zhizheng Liang, Pengfei Shi:
An analytical algorithm for generalized low-rank approximations of matrices. Pattern Recognit. 38(11): 2213-2216 (2005) - [j3]Zhizheng Liang, Pengfei Shi:
A metasynthetic approach for segmenting handwritten Chinese character strings. Pattern Recognit. Lett. 26(10): 1498-1511 (2005) - 2004
- [j2]Zhizheng Liang, Pengfei Shi:
An efficient and effective method to solve kernel Fisher discriminant analysis. Neurocomputing 61: 485-493 (2004) - 2003
- [j1]Zhizheng Liang, Pengfei Shi:
Similarity measures on intuitionistic fuzzy sets. Pattern Recognit. Lett. 24(15): 2687-2693 (2003)
Coauthor Index
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last updated on 2024-10-23 20:33 CEST by the dblp team
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