The following publications are possibly variants of this publication:
- Local Generic Representation for Face Recognition with Single Sample per PersonPengfei Zhu, Meng Yang, Lei Zhang, Il-Yong Lee. ACCV 2015: 34-50 [doi]
- Local Variation Joint Representation for Face Recognition with Single Sample per PersonMeng Yang, Tiancheng Song, Shiqi Yu, LinLin Shen. cccv 2015: 41-50 [doi]
- Robust joint representation with triple local feature for face recognition with single sample per personXing Wang, Bob Zhang, Meng Yang, Kangyin Ke, Weishi Zheng. kbs, 181, 2019. [doi]
- Local structure based multi-phase collaborative representation for face recognition with single sample per personFan Liu, Jinhui Tang, Yan Song, Ye Bi, Sai Yang. isci, 346-347:198-215, 2016. [doi]
- Triple local feature based collaborative representation for face recognition with single sample per personTiancheng Song, Xing Wang, Meng Yang, Shiqi Yu, LinLin Shen. icip 2016: 3234-3238 [doi]
- Adaptive convolution local and global learning for class-level joint representation of face recognition with single sample per personWei Wen, Xing Wang, LinLin Shen, Meng Yang. icpr 2018: 3537-3542 [doi]
- Joint and collaborative representation with local adaptive convolution feature for face recognition with single sample per personMeng Yang, Xing Wang, Guohang Zeng, LinLin Shen. PR, 66:117-128, 2017. [doi]
- Face Recognition with Single Training Sample per Person Using Sparse RepresentationWei Huang, Xiaohui Wang, Zhong Jin. rvsp 2013: 84-88 [doi]
- With one look: robust face recognition using single sample per personDe-An Huang, Yu-Chiang Frank Wang. mm 2013: 601-604 [doi]
- Robust heterogeneous discriminative analysis for face recognition with single sample per personMeng Pang, Yiu-ming Cheung, Binghui Wang, Risheng Liu. PR, 89:91-107, 2019. [doi]