Hong-Jie Xing

Wei-Tao Liu

Pattern Recognit., April, 2024

2023

Contrastive deep support vector data description.

[BibT_eX]

[DOI]

Ping-Ping Zhang

Pattern Recognit., November, 2023

2022

Adaptive loss function based least squares one-class support vector machine.

[BibT_eX]

[DOI]

Zi-Chuan He

Pattern Recognit. Lett., 2022

2021

Robust sparse coding for one-class classification based on correntropy and logarithmic penalty function.

[BibT_eX]

[DOI]

Ya-Jie Liu

Zi-Chuan He

Pattern Recognit., 2021

2020

Robust least squares one-class support vector machine.

[BibT_eX]

[DOI]

Li-Fei Li

Pattern Recognit. Lett., 2020

Robust AdaBoost based ensemble of one-class support vector machines.

[BibT_eX]

[DOI]

Wei-Tao Liu

Inf. Fusion, 2020

2018

Robust one-class support vector machine with rescaled hinge loss function.

[BibT_eX]

[DOI]

Man Ji

Pattern Recognit., 2018

Rotation Based Ensemble of One-Class Support Vector Machines.

[BibT_eX]

[DOI]

Wei-Tao Liu

Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018

2017

Selective ensemble of SVDDs with Renyi entropy based diversity measure.

[BibT_eX]

[DOI]

Pattern Recognit., 2017

2016

An Optimization Approach of Deriving Bounds between Entropy and Error from Joint Distribution: Case Study for Binary Classifications.

[BibT_eX]

[DOI]

Entropy, 2016

Correntropy based self-organizing map.

[BibT_eX]

[DOI]

Qing-Zhen Shang

Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

2015

A Study on Relationship Between Generalization Abilities and Fuzziness of Base Classifiers in Ensemble Learning.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2015

2014

Further improvements in Feature-Weighted Fuzzy C-Means.

[BibT_eX]

[DOI]

Minghu Ha

Inf. Sci., 2014

Regularized correntropy criterion based feature extraction for novelty detection.

[BibT_eX]

[DOI]

Huan-Ru Ren

Neurocomputing, 2014

Classification of BGP anomalies using decision trees and fuzzy rough sets.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

2013

Training extreme learning machine via regularized correntropy criterion.

[BibT_eX]

[DOI]

Xin-Mei Wang

Neural Comput. Appl., 2013

A New Approach of Deriving Bounds between Entropy and Error from Joint Distribution: Case Study for Binary Classifications

[BibT_eX]

[DOI]

CoRR, 2013

2012

Analytical Bounds between Entropy and Error Probability in Binary Classifications

[BibT_eX]

[DOI]

CoRR, 2012

Robust feature extraction for novelty detection based on regularized correntropy criterion.

[BibT_eX]

[DOI]

Huan-Ru Ren

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Selective Ensemble of Support Vector Data Descriptions for Novelty Detection.

[BibT_eX]

[DOI]

Xue-Fang Chen

Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

Modified AdaBoost based OCSVM ensemble for image retrieval.

[BibT_eX]

[DOI]

Jian-Guo Wu

Xue-Fang Chen

Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

2011

Two-stage dimensionality reduction approach based on 2DLDA and fuzzy rough sets technique.

[BibT_eX]

[DOI]

Hao-Xin Zhao

Neurocomputing, 2011

Chance-constrained programming on sugeno measure space.

[BibT_eX]

[DOI]

Hong Zhang

Minghu Ha

Expert Syst. Appl., 2011

A comparative experimental study of feature-weight learning approaches.

[BibT_eX]

[DOI]

Xizhao Wang

Minghu Ha

Proceedings of the IEEE International Conference on Systems, 2011

A modified AdaBoost method for one-class SVM and its application to novelty detection.

[BibT_eX]

[DOI]

Xue-Fang Chen

Proceedings of the IEEE International Conference on Systems, 2011

2009

Two-Phase Construction of Multilayer Perceptrons Using Information Theory.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2009

The expected value models on Sugeno measure space.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2009

2008

An adaptive fuzzy c-means clustering-based mixtures of experts model for unlabeled data classification.

[BibT_eX]

[DOI]

Neurocomputing, 2008

Application of kernel learning vector quantization to novelty detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2008

A novel support vector machine with its features weighted by mutual information.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2008

2006

Knowledge Discovery and Integration Based on A Novel Neural Network Ensemble Model.

[BibT_eX]

[DOI]

Yong Wang

Proceedings of the 2006 International Conference on Semantics, 2006

2005

Sparse Kernel Fisher Discriminant Analysis.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

2004

Geometric Interpretation of Nonlinear Approximation Capability for Feedforward Neural Networks.

[BibT_eX]

[DOI]