Weida Zhou

发表

Wavelet support vector machine

Li Zhang, Weida Zhou, Licheng Jiao, 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Support vector machines based on scaling kernels

L. Jiao, Li Zhang, Weida Zhou, 2002, 6th International Conference on Signal Processing, 2002..

A two-stage virtual machine abnormal behavior-based anomaly detection mechanism

Weida Zhou, Hancui Zhang, 2021, Cluster Computing.

Time series prediction using sparse regression ensemble based on (cid:2) 2 – (cid:2) 1 problem

Weida Zhou, Li Zhang, 2015 .

Analysis of programming properties and the row-column generation method for 1-norm support vector machines

Li Zhang, Weida Zhou, Li Zhang, 2013, Neural Networks.

A fast algorithm for kernel 1-norm support vector machines

Li Zhang, Weida Zhou, Li Zhang, 2013, Knowl. Based Syst..

Complex-valued support vector classifiers

Li Zhang, Weida Zhou, Licheng Jiao, 2010, Digit. Signal Process..

Center matching scheme for k-means cluster ensembles

Licheng Jiao, Li Zhang, Weida Zhou, 2009, International Symposium on Multispectral Image Processing and Pattern Recognition.

Hidden space support vector machines

Li Zhang, Weida Zhou, Licheng Jiao, 2004, IEEE Transactions on Neural Networks.

1-norm Support Vector Novelty Detection and Its Sparseness

Li Zhang, Weida Zhou, Li Zhang, 2013, Neural Networks.

Applying 1-norm SVM with squared loss to gene selection for cancer classification

Li Zhang, Weida Zhou, Zhao Zhang, 2018, Applied Intelligence.

Time series prediction using sparse regression ensemble based on $$\ell _2$$ℓ2–$$\ell _1$$ℓ1 problem

Weida Zhou, Li Zhang, Li Zhang, 2015, Soft Comput..

Kernel sparse representation-based classifier ensemble for face recognition

Li Zhang, Weida Zhou, Fanzhang Li, 2013, Multimedia Tools and Applications.

Iterated time series prediction with multiple support vector regression models

Pei-Chann Chang, Li Zhang, Weida Zhou, 2013, Neurocomputing.

Identification and Control of Discrete-Time Nonlinear Systems Using Affine Support Vector Machines

Weida Zhou, Li Zhang, Yugeng Xi, 2009, Int. J. Artif. Intell. Tools.

Kernel Sparse Representation-Based Classifier

Ting Wang, Pei-Chann Chang, Jing Liu, 2012, IEEE Transactions on Signal Processing.

Fast Gaussian kernel support vector machine recursive feature elimination algorithm

Weida Zhou, Li Zhang, Xiaohan Zheng, 2021, Applied Intelligence.

Fisher-regularized support vector machine

Li Zhang, Weida Zhou, Li Zhang, 2016, Inf. Sci..

Logistic local hyperplane-Relief: A feature weighting method for classification

Weida Zhou, Li Zhang, Xiaojuan Huang, 2019, Knowl. Based Syst..

Kernel sparse representation-based classifier ensemble for face recognition

Fanzhang Li, Li Zhang, Weida Zhou, 2013, Multimedia Tools and Applications.

Support Vector Machines Based on the Orthogonal Projection Kernel of Father Wavelet

Weida Zhou, Licheng Jiao, Li Zhang, 2005, Int. J. Comput. Intell. Appl..

Sparse ensembles using weighted combination methods based on linear programming

Li Zhang, Weida Zhou, Li Zhang, 2011, Pattern Recognit..

A fast approximation algorithm for 1-norm SVM with squared loss

Li Zhang, Weida Zhou, Zhao Zhang, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Sparse signal reconstruction using decomposition algorithm

Ya-Ping Lu, Wei-Da Zhou, Li Zhang, 2013, Knowl. Based Syst..

On the sparseness of 1-norm support vector machines

Li Zhang, Weida Zhou, Li Zhang, 2010, Neural Networks.

A two-stage virtual machine abnormal behavior-based anomaly detection mechanism

Weida Zhou, Hancui Zhang, Weida Zhou, 2021, Clust. Comput..

Linear programming support vector machines

Li Zhang, Weida Zhou, Licheng Jiao, 2002, Pattern Recognit..

Li Zhang, Weida Zhou, Fanzhang Li, 2015, Comput. Biol. Medicine.

Pre-extracting boundary vectors for support vector machine using pseudo-density estimation method

Licheng Jiao, Li Zhang, Weida Zhou, 2009, International Symposium on Multispectral Image Processing and Pattern Recognition.