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For: Zhong J, Wang N, Lin Q, Zhong P. Weighted feature selection via discriminative sparse multi-view learning. Knowl Based Syst 2019. [DOI: 10.1016/j.knosys.2019.04.024] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Number Cited by Other Article(s)
1
Jiang B, Xiang J, Wu X, Wang Y, Chen H, Cao W, Sheng W. Robust multi-view learning via adaptive regression. Inf Sci (N Y) 2022. [DOI: 10.1016/j.ins.2022.08.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
2
Lin Q, Men M, Yang L, Zhong P. A supervised multi-view feature selection method based on locally sparse regularization and block computing. Inf Sci (N Y) 2022. [DOI: 10.1016/j.ins.2021.09.009] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
3
Sparse robust multiview feature selection via adaptive-weighting strategy. INT J MACH LEARN CYB 2021. [DOI: 10.1007/s13042-021-01453-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
4
Lin Q, Yang L, Zhong P, Zou H. Robust supervised multi-view feature selection with weighted shared loss and maximum margin criterion. Knowl Based Syst 2021. [DOI: 10.1016/j.knosys.2021.107331] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
5
Re-weighting regression and sparsity regularization for multi-view classification. APPL INTELL 2021. [DOI: 10.1007/s10489-021-02860-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
6
Tang J, Xu W, Li J, Tian Y, Xu S. Multi-view learning methods with the LINEX loss for pattern classification. Knowl Based Syst 2021. [DOI: 10.1016/j.knosys.2021.107285] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
7
Feature selection for hierarchical classification via joint semantic and structural information of labels. Knowl Based Syst 2020. [DOI: 10.1016/j.knosys.2020.105655] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
8
Men M, Zhong P, Wang Z, Lin Q. Distributed learning for supervised multiview feature selection. APPL INTELL 2020. [DOI: 10.1007/s10489-020-01683-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
9
Zhang GY, Zhou YR, He XY, Wang CD, Huang D. One-step Kernel Multi-view Subspace Clustering. Knowl Based Syst 2020. [DOI: 10.1016/j.knosys.2019.105126] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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