Xinjun Peng

According to our database1, Xinjun Peng authored at least 43 papers between 2008 and 2021.

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

Timeline

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Bibliography

2021
Robust distribution-based nonnegative matrix factorizations for dimensionality reduction.
Inf. Sci., 2021

2020
Progressive transduction nonnegative matrix factorization for dimensionality reduction.
Neurocomputing, 2020

2019
A spheres-based support vector machine for pattern classification.
Neural Comput. Appl., 2019

An \(l_1\) -norm loss based twin support vector regression and its geometric extension.
Int. J. Mach. Learn. Cybern., 2019

Hyperplane-based nonnegative matrix factorization with label information.
Inf. Sci., 2019

2018
PTSVRs: Regression models via projection twin support vector machine.
Inf. Sci., 2018

Semi-supervised least squares nonnegative matrix factorization and graph-based extension.
Neurocomputing, 2018

2017
A structural information-based twin-hypersphere support vector machine classifier.
Int. J. Mach. Learn. Cybern., 2017

A twin-hyperspheres support vector machine with automatic variable weights for data classification.
Inf. Sci., 2017

2016
Projection support vector regression algorithms for data regression.
Knowl. Based Syst., 2016

L<sub>1</sub>-norm loss based twin support vector machine for data recognition.
Inf. Sci., 2016

2015
Interval twin support vector regression algorithm for interval input-output data.
Int. J. Mach. Learn. Cybern., 2015

Improvements on twin parametric-margin support vector machine.
Neurocomputing, 2015

2014
Twin support vector hypersphere (TSVH) classifier for pattern recognition.
Neural Comput. Appl., 2014

A clipping dual coordinate descent algorithm for solving support vector machines.
Knowl. Based Syst., 2014

Structural regularized projection twin support vector machine for data classification.
Inf. Sci., 2014

A twin projection support vector machine for data regression.
Neurocomputing, 2014

Online Model-Based Twin Parametric-Margin Support Vector Machine.
Proceedings of the Intelligent Computing Theory - 10th International Conference, 2014

2013
A local information-based feature-selection algorithm for data regression.
Pattern Recognit., 2013

Robust minimum class variance twin support vector machine classifier.
Neural Comput. Appl., 2013

Structural twin parametric-margin support vector machine for binary classification.
Knowl. Based Syst., 2013

A twin-hypersphere support vector machine classifier and the fast learning algorithm.
Inf. Sci., 2013

Local scaling heuristic-based regularization for pattern classification.
Neurocomputing, 2013

Norm-mixed twin support vector machine classifier and its geometric algorithm.
Neurocomputing, 2013

Geometric algorithms for parametric-margin v-support vector machine.
Neurocomputing, 2013

Bi-density twin support vector machines for pattern recognition.
Neurocomputing, 2013

A New Smooth Support Vector Machine with 1-Norm Penalty Term.
Int. J. Online Biomed. Eng., 2013

2012
Geometric Algorithms to Large Margin Classifier Based on Affine Hulls.
IEEE Trans. Neural Networks Learn. Syst., 2012

Efficient support vector data descriptions for novelty detection.
Neural Comput. Appl., 2012

Twin Mahalanobis distance-based support vector machines for pattern recognition.
Inf. Sci., 2012

Efficient twin parametric insensitive support vector regression model.
Neurocomputing, 2012

2011
TPMSVM: A novel twin parametric-margin support vector machine for pattern recognition.
Pattern Recognit., 2011

Building sparse twin support vector machine classifiers in primal space.
Inf. Sci., 2011

The robust and efficient adaptive normal direction support vector regression.
Expert Syst. Appl., 2011

2010
TSVR: An efficient Twin Support Vector Machine for regression.
Neural Networks, 2010

A nu-twin support vector machine (nu-TSVM) classifier and its geometric algorithms.
Inf. Sci., 2010

Primal twin support vector regression and its sparse approximation.
Neurocomputing, 2010

Least squares twin support vector hypersphere (LS-TSVH) for pattern recognition.
Expert Syst. Appl., 2010

Efficient geometric algorithms for support vector machine classifier.
Proceedings of the Sixth International Conference on Natural Computation, 2010

2009
A normal least squares support vector machine (NLS-SVM) and its learning algorithm.
Neurocomputing, 2009

A geometric method for model selection in support vector machine.
Expert Syst. Appl., 2009

Learning with Sequential Minimal Transductive Support Vector Machine.
Proceedings of the Frontiers in Algorithmics, Third International Workshop, 2009

2008
Accelerated stochastic simulation algorithm for coupled chemical reactions with delays.
Comput. Biol. Chem., 2008


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