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Weida Zhou
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2020 – today
- 2022
- [j25]Hancui Zhang
, Weida Zhou:
A two-stage virtual machine abnormal behavior-based anomaly detection mechanism. Clust. Comput. 25(1): 203-214 (2022) - 2021
- [j24]Li Zhang
Fast Gaussian kernel support vector machine recursive feature elimination algorithm. Appl. Intell. 51(12): 9001-9014 (2021)
2010 – 2019
- 2019
- [j23]Li Zhang, Xiaojuan Huang, Weida Zhou:
Logistic local hyperplane-Relief: A feature weighting method for classification. Knowl. Based Syst. 181 (2019) - 2018
- [j22]Li Zhang
Applying 1-norm SVM with squared loss to gene selection for cancer classification. Appl. Intell. 48(7): 1878-1890 (2018) - 2016
- [j21]Li Zhang
Fisher-regularized support vector machine. Inf. Sci. 343-344: 79-93 (2016) - 2015
- [j20]Li Zhang
Similarity-balanced discriminant neighbor embedding and its application to cancer classification based on gene expression data. Comput. Biol. Medicine 64: 236-245 (2015) - [j19]Li Zhang, Weida Zhou, Fanzhang Li:
Kernel sparse representation-based classifier ensemble for face recognition. Multim. Tools Appl. 74(1): 123-137 (2015) - [j18]Li Zhang, Weida Zhou:
Time series prediction using sparse regression ensemble based on ℓ2-ℓ1 problem. Soft Comput. 19(3): 781-792 (2015) - [c8]Li Zhang, Weida Zhou, Bangjun Wang:
Filtering SAR imagery for edge detection using support value transform. IJCNN 2015: 1-8 - [c7]Li Zhang, Weida Zhou, Zhao Zhang
A fast approximation algorithm for 1-norm SVM with squared loss. IJCNN 2015: 1-8 - 2013
- [j17]Li Zhang, Weida Zhou, Pei-Chann Chang
Iterated time series prediction with multiple support vector regression models. Neurocomputing 99: 411-422 (2013) - [j16]Li Zhang, Weida Zhou:
A fast algorithm for kernel 1-norm support vector machines. Knowl. Based Syst. 52: 223-235 (2013) - [j15]Li Zhang, Weida Zhou, Gui-Rong Chen, Ya-Ping Lu, Fanzhang Li:
Sparse signal reconstruction using decomposition algorithm. Knowl. Based Syst. 54: 172-179 (2013) - [j14]Li Zhang, Weida Zhou:
Analysis of programming properties and the row-column generation method for 1-norm support vector machines. Neural Networks 48: 32-43 (2013) - [j13]Li Zhang, Weida Zhou:
1-norm support vector novelty detection and its sparseness. Neural Networks 48: 125-132 (2013) - 2012
- [j12]Li Zhang, Weida Zhou, Pei-Chann Chang
Kernel Sparse Representation-Based Classifier. IEEE Trans. Signal Process. 60(4): 1684-1695 (2012) - 2011
- [j11]Li Zhang, Weida Zhou, Pei-Chann Chang
Generalized nonlinear discriminant analysis and its small sample size problems. Neurocomputing 74(4): 568-574 (2011) - [j10]Li Zhang, Weida Zhou:
Sparse ensembles using weighted combination methods based on linear programming. Pattern Recognit. 44(1): 97-106 (2011) - [j9]Li Zhang, Weida Zhou:
Density-induced margin support vector machines. Pattern Recognit. 44(7): 1448-1460 (2011) - [c6]Li Zhang, Weida Zhou, Bing Liu:
Nonlinear Nearest Subspace Classifier. ICONIP (2) 2011: 638-645 - 2010
- [j8]Li Zhang, Weida Zhou, Licheng Jiao
Complex-valued support vector classifiers. Digit. Signal Process. 20(3): 944-955 (2010) - [j7]Li Zhang, Weida Zhou:
On the sparseness of 1-norm support vector machines. Neural Networks 23(3): 373-385 (2010)
2000 – 2009
- 2009
- [j6]Li Zhang, Yugeng Xi, Weida Zhou:
Identification and Control of Discrete-Time Nonlinear Systems Using Affine Support Vector Machines. Int. J. Artif. Intell. Tools 18(6): 929-947 (2009) - 2008
- [c5]Li Zhang, Weida Zhou, Hua Zhang, Licheng Jiao:
Generalized Nonlinear Discriminant Analysis. ICPR 2008: 1-4 - 2007
- [j5]Li Zhang, Weida Zhou, Tian-Tian Su, Licheng Jiao
Decision Tree Support Vector Machine. Int. J. Artif. Intell. Tools 16(1): 1-16 (2007) - [c4]Licheng Jiao, Rui Hu, Weida Zhou, Yi Gao:
Face Recognition Using Kernel Uncorrelated Discriminant Analysis. MMM (2) 2007: 415-422 - [c3]Yi Gao, Rui Hu, Licheng Jiao, Weida Zhou, Xiangrong Zhang:
Recognition of SAR Occluded Targets Using SVM. MMM (2) 2007: 423-432 - 2006
- [c2]Weida Zhou, Li Zhang, Licheng Jiao
Support Vector Regression Based on Unconstrained Convex Quadratic Programming. ICNC (1) 2006: 167-174 - [c1]Weida Zhou, Li Zhang, Licheng Jiao
Hidden Space Principal Component Analysis. PAKDD 2006: 801-805 - 2005
- [j4]Li Zhang, Weida Zhou, Licheng Jiao
Support Vector Machines Based on the Orthogonal Projection Kernel of Father Wavelet. Int. J. Comput. Intell. Appl. 5(3): 283-304 (2005) - 2004
- [j3]Li Zhang, Weida Zhou, Licheng Jiao:
Hidden space support vector machines. IEEE Trans. Neural Networks 15(6): 1424-1434 (2004) - [j2]Li Zhang, Weida Zhou, Licheng Jiao
Wavelet support vector machine. IEEE Trans. Syst. Man Cybern. Part B 34(1): 34-39 (2004) - 2002
- [j1]Weida Zhou, Li Zhang, Licheng Jiao
Linear programming support vector machines. Pattern Recognit. 35(12): 2927-2936 (2002)
Coauthor Index
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