Qiaolin Ye

According to our database1, Qiaolin Ye authored at least 63 papers between 2009 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2019
Nonpeaked Discriminant Analysis for Data Representation.
IEEE Trans. Neural Netw. Learning Syst., 2019

Flexible non-greedy discriminant subspace feature extraction.
Neural Networks, 2019

Robust capped L1-norm twin support vector machine.
Neural Networks, 2019

Robust auto-weighted projective low-rank and sparse recovery for visual representation.
Neural Networks, 2019

A random-weighted plane-Gaussian artificial neural network.
Neural Computing and Applications, 2019

Infinite norm large margin classifier.
Int. J. Machine Learning & Cybernetics, 2019

Efficient and robust TWSVM classification via a minimum L1-norm distance metric criterion.
Machine Learning, 2019

Simultaneous multiple low-dimensional subspace dimensionality reduction and classification.
IJCSE, 2019

Robust Triple-Matrix-Recovery-Based Auto-Weighted Label Propagation for Classification.
CoRR, 2019

Robust L2, 1-Norm Distance Enhanced Multi-Weight Vector Projection Support Vector Machine.
IEEE Access, 2019

Piecewise Linear Regression Based on Plane Clustering.
IEEE Access, 2019

Learning Low-Rank Regularized Generic Representation With Block-Sparse Structure for Single Sample Face Recognition.
IEEE Access, 2019

Multi-View Learning With Robust Generalized Eigenvalue Proximal SVM.
IEEE Access, 2019

Non-peaked Discriminant Analysis for Image Representation.
Proceedings of the Image and Video Technology - 9th Pacific-Rim Symposium, 2019

2018
L1-Norm Distance Minimization-Based Fast Robust Twin Support Vector k-Plane Clustering.
IEEE Trans. Neural Netw. Learning Syst., 2018

Underlying Connections Between Algorithms for Nongreedy LDA-L1.
IEEE Trans. Image Processing, 2018

L1-Norm Distance Linear Discriminant Analysis Based on an Effective Iterative Algorithm.
IEEE Trans. Circuits Syst. Video Techn., 2018

Kernel Sparse Representation with Hybrid Regularization for On-Road Traffic Sensor Data Imputation.
Sensors, 2018

Least squares twin bounded support vector machines based on L1-norm distance metric for classification.
Pattern Recognition, 2018

L1-Norm GEPSVM Classifier Based on an Effective Iterative Algorithm for Classification.
Neural Processing Letters, 2018

A Feature Selection Method for Projection Twin Support Vector Machine.
Neural Processing Letters, 2018

Adaptive non-negative projective semi-supervised learning for inductive classification.
Neural Networks, 2018

Lp- and Ls-Norm Distance Based Robust Linear Discriminant Analysis.
Neural Networks, 2018

A discriminative dynamic framework for facial expression recognition in video sequences.
J. Vis. Commun. Image Represent., 2018

Graph regularized local self-representation for missing value imputation with applications to on-road traffic sensor data.
Neurocomputing, 2018

Robust Adaptive Label Propagation by Double Matrix Decomposition.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Rotational Invariant Discriminant Subspace Learning For Image Classification.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Robust Adaptive Low-Rank and Sparse Embedding for Feature Representation.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
Graph regularized multilayer concept factorization for data representation.
Neurocomputing, 2017

Recursive Orthogonal Label Regression: A Framework for Semisupervised Dimension Reduction.
Computing in Science and Engineering, 2017

Robust learning-based prediction for timber-volume of living trees.
Comput. Electron. Agric., 2017

L2P-Norm Distance Twin Support Vector Machine.
IEEE Access, 2017

Efficient and Robust TWSVM Classifier Based on L1-Norm Distance Metric for Pattern Classification.
Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017

Enhanced Adaptive Locality Preserving Projections for Face Recognition.
Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017

P-Order L2-Norm Distance Twin Support Vector Machine.
Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017

2016
Can the Virtual Labels Obtained by Traditional LP Approaches Be Well Encoded in WLR?
IEEE Trans. Neural Netw. Learning Syst., 2016

Comments on "Joint Global and Local Structure Discriminant Analysis".
IEEE Trans. Information Forensics and Security, 2016

Recursive Dimension Reduction for semisupervised learning.
Neurocomputing, 2016

Recursively global and local discriminant analysis for semi-supervised and unsupervised dimension reduction with image analysis.
Neurocomputing, 2016

1-Norm Projection Twin Support Vector Machine.
Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016

The GEPSVM Classifier Based on L1-Norm Distance Metric.
Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016

2015
Fast orthogonal linear discriminant analysis with application to image classification.
Neurocomputing, 2015

Discriminatively Semi-supervised Classification with Application to Terrain Perception.
Proceedings of the Fuzzy System and Data Mining, 2015

2014
Enhanced multi-weight vector projection support vector machine.
Pattern Recognit. Lett., 2014

A Novel Multiple Kernel Sparse Representation based Classification for Face Recognition.
TIIS, 2014

Flexible orthogonal semisupervised learning for dimension reduction with image classification.
Neurocomputing, 2014

Feature selection for least squares projection twin support vector machine.
Neurocomputing, 2014

Fast orthogonal linear discriminant analysis with applications to image classification.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Recursive soft margin subspace learning.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2012
Recursive "concave-convex" Fisher Linear Discriminant with applications to face, handwritten digit and terrain recognition.
Pattern Recognition, 2012

A feature selection method for nonparallel plane support vector machine classification.
Optimization Methods and Software, 2012

Least squares twin support vector machine classification via maximum one-class within class variance.
Optimization Methods and Software, 2012

Weighted Twin Support Vector Machines with Local Information and its application.
Neural Networks, 2012

Smooth twin support vector regression.
Neural Computing and Applications, 2012

Density-based weighting multi-surface least squares classification with its applications.
Knowl. Inf. Syst., 2012

Recursive robust least squares support vector regression based on maximum correntropy criterion.
Neurocomputing, 2012

2011
Recursive projection twin support vector machine via within-class variance minimization.
Pattern Recognition, 2011

Localized twin SVM via convex minimization.
Neurocomputing, 2011

1-Norm least squares twin support vector machines.
Neurocomputing, 2011

Distance difference and linear programming nonparallel plane classifier.
Expert Syst. Appl., 2011

2010
Multi-weight vector projection support vector machines.
Pattern Recognit. Lett., 2010

Iterative support vector machine with guaranteed accuracy and run time.
Expert Systems, 2010

2009
Improved Proximal Support Vector Machine via Generalized Eigenvalues.
Proceedings of the Second International Joint Conference on Computational Sciences and Optimization, 2009


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