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Xuan Thanh Vo
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2010 – 2019
- 2016
- [j3]Hoai An Le Thi, Xuan Thanh Vo, Tao Pham Dinh:
Efficient Nonnegative Matrix Factorization by DC Programming and DCA. Neural Comput. 28(6): 1163-1216 (2016) - [c6]Xuan Thanh Vo, Hoai An Le Thi, Tao Pham Dinh:
Robust Optimization for Clustering. ACIIDS (2) 2016: 671-680 - 2015
- [b1]Xuan Thanh Vo:
Learning with sparsity and uncertainty by Difference of Convex functions optimization. (Apprentissage avec la parcimonie et sur des données incertaines par la programmation DC et DCA). University of Lorraine, Nancy, France, 2015 - [j2]Hoai An Le Thi, Tao Pham Dinh, Hoai Minh Le, Xuan Thanh Vo:
DC approximation approaches for sparse optimization. Eur. J. Oper. Res. 244(1): 26-46 (2015) - [c5]Xuan Thanh Vo, Hoai An Le Thi, Tao Pham Dinh, Bich Thuy Nguyen Thi:
DC Programming and DCA for Dictionary Learning. ICCCI (1) 2015: 295-304 - [c4]Thi Bich Thuy Nguyen, Hoai An Le Thi, Hoai Minh Le, Xuan Thanh Vo:
DC Approximation Approach for ℓ0-minimization in Compressed Sensing. ICCSAMA 2015: 37-48 - 2014
- [j1]Hoai An Le Thi, Xuan Thanh Vo, Tao Pham Dinh:
Feature selection for linear SVMs under uncertain data: Robust optimization based on difference of convex functions algorithms. Neural Networks 59: 36-50 (2014) - [c3]Hoai An Le Thi, Anh Vu Le, Xuan Thanh Vo, Ahmed Zidna:
A Filter Based Feature Selection Approach in MSVM Using DCA and Its Application in Network Intrusion Detection. ACIIDS (2) 2014: 403-413 - [c2]Le Thi Hoai An, Tao Pham Dinh, Xuan Thanh Vo:
DC Programming and DCA for Nonnegative Matrix Factorization. ICCCI 2014: 573-582 - [i1]Hoai An Le Thi, Tao Pham Dinh, Le Hoai Minh, Xuan Thanh Vo:
DC approximation approaches for sparse optimization. CoRR abs/1407.0286 (2014) - 2013
- [c1]Le Thi Hoai An, Xuan Thanh Vo, Tao Pham Dinh:
Robust Feature Selection for SVMs under Uncertain Data. ICDM 2013: 151-165
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