Zhizhen Liang

发表

Rapid and brief communications: Kernel direct discriminant analysis and its theoretical foundation

P. Shi, Zhizhen Liang, 2005 .

Feature Scaling via Second-Order Cone Programming

Zhizhen Liang, 2016 .

Other Tensor Analysis and Further Direction

Fengxi Song, Yong Xu, Zhizhen Liang, 2009 .

Tensor Linear Discriminant Analysis

D. Zhang, Yong Xu, Zhizhen Liang, 2009 .

Smoothing images via the Beltrami flow in Hilbert space

Youfu Li, Zhizhen Liang, 2009 .

Orthogonal Discriminant Analysis Methods

D. Zhang, Yong Xu, Zhizhen Liang, 2009 .

Parameterized Discriminant Analysis Methods

David Zhang, Fengxi Song, Yong Xu, 2009 .

Tensor Principal Component Analysis

Fengxi Song, Yong Xu, Zhizhen Liang, 2009 .

Combined embedding model for MiRNA-disease association prediction

Lei Zhang, Zhengwei Li, Bailong Liu, 2021, BMC Bioinformatics.

Kernel direct discriminant analysis and its theoretical foundatio

Pengfei Shi, Zhizheng Liang, P. Shi, 2005, Pattern Recognit..

Training Lp norm multiple kernel learning in the primal

Shixiong Xia, Yong Zhou, Zhizheng Liang, 2013, Neural Networks.

Predicting MiRNA-disease associations by multiple meta-paths fusion graph embedding model

Lei Zhang, Xiaoyan Zhu, Bailong Liu, 2020, BMC Bioinformatics.

Pengfei Shi, Zhizheng Liang, P. Shi, 2003, Pattern Recognit. Lett..

A novel total variation model based on kernel functions and its application pdf

Lei Zhang, Jin Liu, Yong Zhou, 2017, ArXiv.

Support vector machines with the ε-insensitive pinball loss function for uncertain data classification

Zhizhen Liang, Lei Zhang, 2021, Neurocomputing.

Correlation classifiers based on data perturbation: New formulations and algorithms

Yong Zhou, Jin Liu, Lei Zhang, 2020, Pattern Recognit..

Adaptive weighted learning for linear regression problems via Kullback-Leibler divergence

Youfu Li, Shixiong Xia, Zhizheng Liang, 2013, Pattern Recognit..

A regularization framework for robust dimensionality reduction with applications to image reconstruction and feature extraction

Youfu Li, Zhizheng Liang, Youfu Li, 2010, Pattern Recognit..

Incremental support vector machine learning in the primal and applications

Youfu Li, Zhizheng Liang, Youfu Li, 2009, Neurocomputing.

Multi-features taxi destination prediction with frequency domain processing

Lei Zhang, Zhizheng Liang, Guoxing Zhang, 2018, PloS one.

Uncertainty-aware twin support vector machines

Zhizhen Liang, Lei Zhang, 2022, Pattern Recognit..

An analytical algorithm for generalized low-rank approximations of matrices

Pengfei Shi, Zhizheng Liang, P. Shi, 2005, Pattern Recognit..

Adaptively weighted learning for twin support vector machines via Bregman divergences

Jin Liu, Lei Zhang, Yong Zhou, 2018, Neural Computing and Applications.

Combined embedding model for MiRNA-disease association prediction

Lei Zhang, Zhizhen Liang, Zhengwei Li, 2021, BMC Bioinform..

Intuitionistic fuzzy twin support vector machines with the insensitive pinball loss

Zhizhen Liang, Lei Zhang, 2021, Appl. Soft Comput..

Advanced Pattern Recognition Technologies with Applications to Biometrics

David Zhang, Fengxi Song, Yong Xu, 2008 .

Robust Two-Dimensional Linear Discriminant Analysis via Information Divergence

Lei Zhang, Zhizheng Liang, Zhizhen Liang, 2020, Neural Processing Letters.

Fuzzy mixed-prototype clustering algorithm for microarray data analysis

Hong Yan, Jin Liu, Tuan D. Pham, 2018, Neurocomputing.

The theoretical analysis of GLRAM and its applications

David Zhang, Pengfei Shi, Zhizheng Liang, 2007, Pattern Recognit..

Interest filter vs. interest operator: Face recognition using Fisher linear discriminant based on interest filter representation

David Zhang, Tuo Zhao, Zhizheng Liang, 2008, Pattern Recognit. Lett..

Matching Score Level Fusion

David Zhang, Fengxi Song, Yong Xu, 2009 .

Matrix-based subspace analysis with the general norm for image feature extraction

Zhizhen Liang, 2018, Pattern Analysis and Applications.

A Novel Multiple Kernel Learning Method Based on the Kullback–Leibler Divergence

Zhizhen Liang, Lei Zhang, Jin Liu, 2015, Neural Processing Letters.

Robust kernel discriminant analysis and its application to feature extraction and recognition

David Zhang, Pengfei Shi, Zhizheng Liang, 2006, Neurocomputing.

Locality preserving difference component analysis based on the Lq norm

Lei Zhang, Jin Liu, Zhizheng Liang, 2019, Pattern Analysis and Applications.

Blockwise projection matrix versus blockwise data on undersampled problems: Analysis, comparison and applications

Youfu Li, Shixiong Xia, Yong Zhou, 2011, Pattern Recognit..

High-dimensional discriminant analysis and its application to color face images

Zhizheng Liang, Zhizhen Liang, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

A Majorization-Minimization Approach to Lq Norm Multiple Kernel Learning

Jin Liu, Shixiong Xia, Yong Zhou, 2013, 2013 2nd IAPR Asian Conference on Pattern Recognition.

A note on two-dimensional linear discriminant analysis

Pengfei Shi, Youfu Li, Zhizheng Liang, 2008, Pattern Recognit. Lett..