Trung Le

发表

Generalised Support Vector Machine for Brain-Computer Interface

Trung Le, Wanli Ma, Dat Tran, 2011, ICONIP.

Proximity multi-sphere support vector clustering

Trung Le, Wanli Ma, Dat Tran, 2013, Neural Computing and Applications.

Stochastic gradient descent for minimal enclosing ball

Trung Le, Hang Dang, Khanh-Duy Nguyen, 2016, 2016 3rd National Foundation for Science and Technology Development Conference on Information and Computer Science (NICS).

Stochastic gradient descent support vector clustering

Trung Le, Tung Pham, Hang Dang, 2015, 2015 2nd National Foundation for Science and Technology Development Conference on Information and Computer Science (NICS).

Fast support vector clustering

Thai Hoang Le, Tung Pham, Hang Dang, 2017, Vietnam Journal of Computer Science.

Proximity multi-sphere support vector clustering

Wanli Ma, D. Tran, D. Sharma, 2013, Neural Computing and Applications.

A Novel Parameter Refinement Approach to One Class Support Vector Machine

Trung Le, Wanli Ma, Dat Tran, 2011, ICONIP.

Multiple Distribution Data Description Learning Algorithm for Novelty Detection

Trung Le, Wanli Ma, Dat Tran, 2011, PAKDD.

A Theoretical Framework for Multi-sphere Support Vector Data Description

Trung Le, Wanli Ma, Dat Tran, 2010, ICONIP.

Robust Support Vector Machine

Trung Le, Wanli Ma, Dat Tran, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Fuzzy support vector machines for age and gender classification

Trung Le, Dat Tran, Xu Huang, 2010, INTERSPEECH.

Fuzzy Semi-supervised Large Margin One-Class Support Vector Machine

Trung Le, Mi Dinh, Van Hien Nguyen, 2015 .

Kernel-based semi-supervised learning for novelty detection

Trung Le, Van Nguyen, Mi Dinh, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Fuzzy entropy semi-supervised support vector data description

Trung Le, Wanli Ma, Dat Tran, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Fuzzy Multi-sphere Support Vector Data Description

Trung Le, Wanli Ma, Dat Tran, 2012, 2012 IEEE International Conference on Fuzzy Systems.

A Generic Framework for Soft Subspace Pattern Recognition

Trung Le, Wanli Ma, Dharmendra Sharma, 2009 .

Multiple distribution data description learning method for novelty detection

Trung Le, Wanli Ma, Dat Tran, 2011, The 2011 International Joint Conference on Neural Networks.

An optimal sphere and two large margins approach for novelty detection

Trung Le, Wanli Ma, Dat Tran, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Using EEG artifacts for BCI applications

Trung Le, Wanli Ma, Dat Tran, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

A new support vector machine method for medical image classification

Trung Le, Wanli Ma, Dat Tran, 2010, 2010 2nd European Workshop on Visual Information Processing (EUVIP).

Time Domain Parameters for Online Feedback fNIRS-Based Brain-Computer Interface Systems

Dat Tran, Xu Huang, Tuan Hoang, 2012, ICONIP.

Scalable Support Vector Clustering Using Budget pdf

Trung Le, Tung Pham, Hang Dang, 2017, ArXiv.

Fuzzy Kernel Stochastic Gradient Descent machines

Trung Le, Wanli Ma, Dat Tran, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Fast Kernel-based method for anomaly detection

Trung Le, Dat Tran, Van Nguyen, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Least square Support Vector Machine for large-scale dataset

Trung Le, Wanli Ma, Dat Tran, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Budgeted Semi-supervised Support Vector Machine

Trung Le, Tu Dinh Nguyen, Dinh Q. Phung, 2016, UAI.

Deterministic Annealing Multi-Sphere Support Vector Data Description

Trung Le, Wanli Ma, Dat Tran, 2012, ICONIP.

Enhancing Performance of SVM-Based Brain-Computer Interface Systems

Trung Le, Dat Tran, Dharmendra Sharma, 2010, Aust. J. Intell. Inf. Process. Syst..