The following publications are possibly variants of this publication:
- Representative Selection with Structured SparsityHongxing Wang, Yoshinobu Kawahara, Chaoqun Weng, Junsong Yuan. PR, 63:268-278, 2017. [doi]
- Discriminative Feature Selection via A Structured Sparse Subspace Learning ModuleZheng Wang 0037, Feiping Nie 0001, Lai Tian, Rong Wang, Xuelong Li. IJCAI 2020: 3009-3015 [doi]
- Robust tracking via discriminative sparse feature selectionJin Zhan, Zhuo Su, Hefeng Wu, Xiaonan Luo. vc, 31(5):575-588, 2015. [doi]
- Cross version defect prediction with representative data via sparse subset selectionZhou Xu, Shuai Li, Yutian Tang, Xiapu Luo, Tao Zhang 0001, Jin Liu, Jun Xu. IWPC 2018: 132-143 [doi]
- Representative selection based on sparse modelingYu Wang, Sheng Tang, Yong-Dong Zhang, Jin-Tao Li, Dong Wang. ijon, 139:423-431, 2014. [doi]
- Effective Learning with Joint Discriminative and Representative Feature SelectionShupeng Wang, Xiao-Yu Zhang, Xianglei Dang, Binbin Li, Haiping Wang. iccs 2018: 632-638 [doi]
- Weighted feature selection via discriminative sparse multi-view learningJing Zhong, Nan Wang, Qiang Lin, Ping Zhong. kbs, 178:132-148, 2019. [doi]
- Joint Discriminative and Representative Feature Selection for Alzheimer's Disease DiagnosisXiaofeng Zhu, Heung-Il Suk, Kim-Han Thung, Yingying Zhu, Guorong Wu, Dinggang Shen. miccai 2016: 77-85 [doi]
- Ensemble feature selection with discriminative and representative properties for malware detectionXiaoyu Zhang, Shupeng Wang, Lei Zhang, Chunjie Zhang, Changsheng Li. infocom 2016: 674-675 [doi]