Zhizheng Liang

Pattern Recognit., February, 2024

Fuzzy Twin Support Vector Machines With Distribution Inputs.

[BibT_eX]

[DOI]

Shifei Ding

IEEE Trans. Fuzzy Syst., January, 2024

Robust support function machines for set-valued data classification.

[BibT_eX]

[DOI]

Yuhan Min

Int. J. Approx. Reason., 2024

2023

L1-norm discriminant analysis via Bhattacharyya error bounds under Laplace distributions.

[BibT_eX]

[DOI]

Pattern Recognit., September, 2023

2022

Uncertainty-aware twin support vector machines.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Exploring Complex Dependencies for Multi-modal Semantic Trajectory Prediction.

[BibT_eX]

[DOI]

Neural Process. Lett., 2022

Intuitionistic fuzzy twin support vector machines with the insensitive pinball loss.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2022

2021

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

[BibT_eX]

[DOI]

Neurocomputing, 2021

Combined embedding model for MiRNA-disease association prediction.

[BibT_eX]

[DOI]

BMC Bioinform., 2021

2020

Correlation classifiers based on data perturbation: New formulations and algorithms.

[BibT_eX]

[DOI]

Pattern Recognit., 2020

Locality preserving difference component analysis based on the Lq norm.

[BibT_eX]

[DOI]

Pattern Anal. Appl., 2020

Robust Two-Dimensional Linear Discriminant Analysis via Information Divergence.

[BibT_eX]

[DOI]

Neural Process. Lett., 2020

Adaptively weighted learning for twin support vector machines via Bregman divergences.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2020

2018

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

[BibT_eX]

[DOI]

Pattern Anal. Appl., 2018

Fuzzy mixed-prototype clustering algorithm for microarray data analysis.

[BibT_eX]

[DOI]

Neurocomputing, 2018

Predicting Taxi Destination by Regularized RNN with SDZ.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2018

Fast Time-Aware Sparse Trajectories Prediction with Tensor Factorization.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2018

2017

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

[BibT_eX]

[DOI]

CoRR, 2017

2016

A Complete Subspace Analysis of Linear Discriminant Analysis and Its Robust Implementation.

[BibT_eX]

[DOI]

Zhicheng Lu

J. Electr. Comput. Eng., 2016

Improving Face Image Representation Using Tangent Vectors and the L1 Norm.

[BibT_eX]

[DOI]

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016

2015

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

[BibT_eX]

[DOI]

Jin Liu

Neural Process. Lett., 2015

2014

Efficient Feature Scaling for Support Vector Machines with a Quadratic Kernel.

[BibT_eX]

[DOI]

Ning Liu

Neural Process. Lett., 2014

2013

Feature extraction based on Lp-norm generalized principal component analysis.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2013

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

[BibT_eX]

[DOI]

Shixiong Xia

Pattern Recognit., 2013

Training Lp norm multiple kernel learning in the primal.

[BibT_eX]

[DOI]

Neural Networks, 2013

Normalized discriminant analysis for dimensionality reduction.

[BibT_eX]

[DOI]

Shixiong Xia

Yong Zhou

Neurocomputing, 2013

Time-Varying Distributed Resource Allocation Based on Thermal Minority Game.

[BibT_eX]

[DOI]

Proceedings of the Intelligence Science and Big Data Engineering, 2013

A Fuzzy Mix-Prototype Clustering Algorithm for Leukemia Data Analysis.

[BibT_eX]

[DOI]

Proceedings of the Intelligence Science and Big Data Engineering, 2013

A Majorization-Minimization Approach to Lq Norm Multiple Kernel Learning.

[BibT_eX]

[DOI]

Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition, 2013

2012

Beltrami flow in Hilbert space with applications to image denoising.

[BibT_eX]

[DOI]

J. Electronic Imaging, 2012

2011

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

[BibT_eX]

[DOI]

Pattern Recognit., 2011

2010

Projected gradient method for kernel discriminant nonnegative matrix factorization and the applications.

[BibT_eX]

[DOI]

Tuo Zhao

Signal Process., 2010

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

[BibT_eX]

[DOI]

Pattern Recognit., 2010

2009

Incremental support vector machine learning in the primal and applications.

[BibT_eX]

[DOI]

Neurocomputing, 2009

2008

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

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2008

A note on two-dimensional linear discriminant analysis.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2008

2007

The theoretical analysis of GLRAM and its applications.

[BibT_eX]

[DOI]

David Zhang

Pattern Recognit., 2007

A Novel Null Space-Based Kernel Discriminant Analysis for Face Recognition.

[BibT_eX]

[DOI]

Proceedings of the Advances in Biometrics, International Conference, 2007

2006

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

[BibT_eX]

[DOI]

David Zhang

Neurocomputing, 2006

Feature selection for linear support vector machines.

[BibT_eX]

[DOI]

Tuo Zhao

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

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

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Two-Dimensional Fisher Discriminant Analysis and Its Application to Face Recognition.

[BibT_eX]

[DOI]

David Zhang

Proceedings of the Computer Vision, 2006

2005

A metasynthetic approach for segmenting handwritten Chinese character strings.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2005

An analytical algorithm for generalized low-rank approximations of matrices.

[BibT_eX]

[DOI]

Pattern Recognit., 2005

Kernel direct discriminant analysis and its theoretical foundatio.

[BibT_eX]

[DOI]

Pattern Recognit., 2005

Uncorrelated discriminant vectors using a kernel method.

[BibT_eX]

[DOI]

Pattern Recognit., 2005

2004

An efficient and effective method to solve kernel Fisher discriminant analysis.

[BibT_eX]

[DOI]

Neurocomputing, 2004

2003

Similarity measures on intuitionistic fuzzy sets.

[BibT_eX]

[DOI]