Quanxue Gao

According to our database1, Quanxue Gao authored at least 77 papers between 2007 and 2020.

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Bibliography

2020
Adaptive latent similarity learning for multi-view clustering.
Neural Networks, 2020

Label-activating framework for zero-shot learning.
Neural Networks, 2020

Multi-view projected clustering with graph learning.
Neural Networks, 2020

Multi-view clustering by joint manifold learning and tensor nuclear norm.
Neurocomputing, 2020

Double robust principal component analysis.
Neurocomputing, 2020

Discriminative comparison classifier for generalized zero-shot learning.
Neurocomputing, 2020

Fast algorithm for large-scale subspace clustering by LRR.
IET Image Process., 2020

Generative Partial Multi-View Clustering.
CoRR, 2020

Multi-View Attribute Graph Convolution Networks for Clustering.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Tensor-SVD Based Graph Learning for Multi-View Subspace Clustering.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Cross-Modal Subspace Clustering via Deep Canonical Correlation Analysis.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
${R}_1$ -2-DPCA and Face Recognition.
IEEE Trans. Cybern., 2019

Flexible unsupervised feature extraction for image classification.
Neural Networks, 2019

Adaptive robust principal component analysis.
Neural Networks, 2019

Nuclear-norm based 2DLDA with application to face recognition.
Neurocomputing, 2019

Hyperspectral image denoising via minimizing the partial sum of singular values and superpixel segmentation.
Neurocomputing, 2019

Consistent Embedded GAN for Image-to-Image Translation.
IEEE Access, 2019

Multi-View Classification via Adaptive Discriminant Analysis.
IEEE Access, 2019

Multi-View Spectral Clustering via Integrating Global and Local Graphs.
IEEE Access, 2019

Image Classification Using Low-Rank Regularized Extreme Learning Machine.
IEEE Access, 2019

Adaptive Semi-Supervised Classification by Joint Global and Local Graph.
IEEE Access, 2019

Graph and Autoencoder Based Feature Extraction for Zero-shot Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Worst-Case Discriminative Feature Selection.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Deep Adversarial Multi-view Clustering Network.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Tensor Linear Regression and Its Application to Color Face Recognition.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018
Robust DLPP With Nongreedy ℓ<sub>1</sub>-Norm Minimization and Maximization.
IEEE Trans. Neural Networks Learn. Syst., 2018

ℓ<sub>2, p</sub> -Norm Based PCA for Image Recognition.
IEEE Trans. Image Process., 2018

Discriminant Analysis via Joint Euler Transform and ℓ<sub>2, 1</sub>-Norm.
IEEE Trans. Image Process., 2018

Angle 2DPCA: A New Formulation for 2DPCA.
IEEE Trans. Cybern., 2018

SVM based multi-label learning with missing labels for image annotation.
Pattern Recognit., 2018

Euler Label Consistent K-SVD for image classification and action recognition.
Neurocomputing, 2018

Learning more distinctive representation by enhanced PCA network.
Neurocomputing, 2018

Nuclear-norm based semi-supervised multiple labels learning.
Neurocomputing, 2018

Dimensionality reduction by LPP-L21.
IET Comput. Vis., 2018

L<sub>2, 1</sub>-Norm Discriminant Manifold Learning.
IEEE Access, 2018

Learning with Adaptive Neighbors for Image Clustering.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Zero Shot Learning via Low-rank Embedded Semantic AutoEncoder.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Partial Multi-view Clustering via Consistent GAN.
Proceedings of the IEEE International Conference on Data Mining, 2018

Euler Sparse Representation for Image Classification.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Robust Formulation for PCA: Avoiding Mean Calculation With L<sub>2, p</sub>-norm Maximization.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
A Non-Greedy Algorithm for L1-Norm LDA.
IEEE Trans. Image Process., 2017

Adaptive maximum margin analysis for image recognition.
Pattern Recognit., 2017

Optimal mean two-dimensional principal component analysis with F-norm minimization.
Pattern Recognit., 2017

F-norm distance metric based robust 2DPCA and face recognition.
Neural Networks, 2017

Trace ratio 2DLDA with L1-norm optimization.
Neurocomputing, 2017

Angle Principal Component Analysis.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Two-Dimensional PCA with F-Norm Minimization.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Rebuttal to "Comments on 'Joint Global and Local Structure Discriminant Analysis"'.
IEEE Trans. Inf. Forensics Secur., 2016

On the schatten norm for matrix based subspace learning and classification.
Neurocomputing, 2016

Discriminant structure embedding for image recognition.
Neurocomputing, 2016

Robust 2DPCA and Its Application.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015
Dimensionality Reduction by Integrating Sparse Representation and Fisher Criterion and its Applications.
IEEE Trans. Image Process., 2015

Discriminative sparsity preserving projections for image recognition.
Pattern Recognit., 2015

A novel semi-supervised learning for face recognition.
Neurocomputing, 2015

Merging model-based two-dimensional principal component analysis.
Neurocomputing, 2015

An Accelerated Two-Step Iteration Hybrid-norm Algorithm for Image Restoration.
Proceedings of the Computer Vision - CCF Chinese Conference, 2015

2014
Stable locality sensitive discriminant analysis for image recognition.
Neural Networks, 2014

Global-local fisher discriminant approach for face recognition.
Neural Comput. Appl., 2014

2013
Stable Orthogonal Local Discriminant Embedding for Linear Dimensionality Reduction.
IEEE Trans. Image Process., 2013

Two-Dimensional Maximum Local Variation Based on Image Euclidean Distance for Face Recognition.
IEEE Trans. Image Process., 2013

Joint Global and Local Structure Discriminant Analysis.
IEEE Trans. Inf. Forensics Secur., 2013

Joint geometry and variability for image recognition.
Neurocomputing, 2013

Feature extraction using two-dimensional neighborhood margin and variation embedding.
Comput. Vis. Image Underst., 2013

2012
Enhanced fisher discriminant criterion for image recognition.
Pattern Recognit., 2012

Two-dimensional margin, similarity and variation embedding.
Neurocomputing, 2012

2010
Independent components extraction from image matrix.
Pattern Recognit. Lett., 2010

Two-dimensional supervised local similarity and diversity projection.
Pattern Recognit., 2010

Directional Two-dimensional Neighborhood Preserving Projection for Face Recognition.
Proceedings of the International Conference on Computational Aspects of Social Networks, 2010

Directional Principal Component Analysis for Image Matrix.
Proceedings of the International Conference on Computational Aspects of Social Networks, 2010

Directional Multimode Subspace Analysis with Tensor Representation-Discriminant Feature Extraction.
Proceedings of the International Conference on Computational Aspects of Social Networks, 2010

2009
Sequential row-column independent component analysis for face recognition.
Neurocomputing, 2009

2008
Face recognition using FLDA with single training image per person.
Appl. Math. Comput., 2008

Screening Diabetic Retinopathy Through Color Retinal Images.
Proceedings of the Medical Biometrics, First International Conference, 2008

Directional independent component analysis with tensor representation.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Comments on "On Image Matrix Based Feature Extraction Algorithms".
IEEE Trans. Syst. Man Cybern. Part B, 2007

Is two-dimensional PCA equivalent to a special case of modular PCA?
Pattern Recognit. Lett., 2007

Block Independent Component Analysis for Face Recognition.
Proceedings of the 14th International Conference on Image Analysis and Processing (ICIAP 2007), 2007


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