Weida Zhou

According to our database1, Weida Zhou authored at least 33 papers between 2002 and 2022.

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

Timeline

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Bibliography

2022
A two-stage virtual machine abnormal behavior-based anomaly detection mechanism.
Clust. Comput., 2022

2021
Fast Gaussian kernel support vector machine recursive feature elimination algorithm.
Appl. Intell., 2021

2019
Logistic local hyperplane-Relief: A feature weighting method for classification.
Knowl. Based Syst., 2019

2018
Applying 1-norm SVM with squared loss to gene selection for cancer classification.
Appl. Intell., 2018

2016
Fisher-regularized support vector machine.
Inf. Sci., 2016

2015
Time series prediction using sparse regression ensemble based on ℓ<sub>2</sub>-ℓ<sub>1</sub> problem.
Soft Comput., 2015

Kernel sparse representation-based classifier ensemble for face recognition.
Multim. Tools Appl., 2015

Similarity-balanced discriminant neighbor embedding and its application to cancer classification based on gene expression data.
Comput. Biol. Medicine, 2015

A fast approximation algorithm for 1-norm SVM with squared loss.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Filtering SAR imagery for edge detection using support value transform.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2013
1-norm support vector novelty detection and its sparseness.
Neural Networks, 2013

Analysis of programming properties and the row-column generation method for 1-norm support vector machines.
Neural Networks, 2013

Sparse signal reconstruction using decomposition algorithm.
Knowl. Based Syst., 2013

A fast algorithm for kernel 1-norm support vector machines.
Knowl. Based Syst., 2013

Iterated time series prediction with multiple support vector regression models.
Neurocomputing, 2013

2012
Kernel Sparse Representation-Based Classifier.
IEEE Trans. Signal Process., 2012

2011
Density-induced margin support vector machines.
Pattern Recognit., 2011

Sparse ensembles using weighted combination methods based on linear programming.
Pattern Recognit., 2011

Generalized nonlinear discriminant analysis and its small sample size problems.
Neurocomputing, 2011

Nonlinear Nearest Subspace Classifier.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

2010
On the sparseness of 1-norm support vector machines.
Neural Networks, 2010

Complex-valued support vector classifiers.
Digit. Signal Process., 2010

2009
Identification and Control of Discrete-Time Nonlinear Systems Using Affine Support Vector Machines.
Int. J. Artif. Intell. Tools, 2009

2008
Generalized Nonlinear Discriminant Analysis.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2007
Decision Tree Support Vector Machine.
Int. J. Artif. Intell. Tools, 2007

Face Recognition Using Kernel Uncorrelated Discriminant Analysis.
Proceedings of the Advances in Multimedia Modeling, 2007

Recognition of SAR Occluded Targets Using SVM.
Proceedings of the Advances in Multimedia Modeling, 2007

2006
Hidden Space Principal Component Analysis.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

Support Vector Regression Based on Unconstrained Convex Quadratic Programming.
Proceedings of the Advances in Natural Computation, Second International Conference, 2006

2005
Support Vector Machines Based on the Orthogonal Projection Kernel of Father Wavelet.
Int. J. Comput. Intell. Appl., 2005

2004
Wavelet support vector machine.
IEEE Trans. Syst. Man Cybern. Part B, 2004

Hidden space support vector machines.
IEEE Trans. Neural Networks, 2004

2002
Linear programming support vector machines.
Pattern Recognit., 2002


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