[14] Jicong Fan, Chengrun Yang, and Madeleine Udell. Robust non-linear matrix factorization for dictionary learning, denoising, and clustering. IEEE Transactions on Signal Processing, 69:1755-1770, 2021.
[15] Ehsan Elhamifar and René Vidal. Sparse subspace clustering: Algorithm, theory, and applications. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(11):2765-2781, 2013.
[16] Guangcan Liu, Zhouchen Lin, Shuicheng Yan, Ju Sun, Yong Yu, and Yi Ma. Robust recovery of subspace structures by low-rank representation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(1):171-184, 2012.
[17] Can-Yi Lu, Hai Min, Zhong-Qiu Zhao, Lin Zhu, De-Shuang Huang, and Shuicheng Yan. Robust and efficient subspace segmentation via least squares regression. In European Conference on Computer Vision, pages 347-360. Springer, 2012.
[18] Pan Ji, Mathieu Salzmann, and Hongdong Li. Efficient dense subspace clustering. In IEEE Winter Conference on Applications of Computer Vision, pages 461-468. IEEE, 2014.
[19] Vishal M Patel and René Vidal. Kernel sparse subspace clustering. In 2014 IEEE International Conference on Image Processing, pages 2849-2853. IEEE, 2014.
[20] Shijie Xiao, Mingkui Tan, Dong Xu, and Zhao Yang Dong. Robust kernel low-rank representation. IEEE Transactions on Neural Networks and Learning Systems, 27(11):2268-2281, 2015.
[21] Bradley Efron. Missing data, imputation, and the bootstrap. Journal of the American Statistical Association, 89(426):463-475, 1994.
[22] Wei-Chao Lin and Chih-Fong Tsai. Missing value imputation: a review and analysis of the literature (2006-2017). Artificial Intelligence Review, 53:1487-1509, 2020.
[23] Tressy Thomas and Enayat Rajabi. A systematic review of machine learning-based missing value imputation techniques. Data Technologies and Applications, 55(4):558-585, 2021.
[24] Susanne Rässler, Donald B Rubin, and Elizabeth R Zell. Imputation. Wiley Interdisciplinary Reviews: Computational Statistics, 5(1):20-29, 2013.
[25] Ton De Waal, Jeroen Pannekoek, and Sander Scholtus. Handbook of Statistical Data Editing and Imputation, volume 563. John Wiley & Sons, 2011.
[26] Lorenzo Beretta and Alessandro Santaniello. Nearest neighbor imputation algorithms: a critical evaluation. BMC Medical Informatics and Decision Making, 16(3):197-208, 2016.
[27] Jian-Feng Cai, Emmanuel J Candès, and Zuowei Shen. A singular value thresholding algorithm for matrix completion. SIAM Journal on Optimization, 20(4):1956-1982, 2010.
[28] Laura Balzano, Robert Nowak, and Benjamin Recht. Online identification and tracking of subspaces from highly incomplete information. In 48th Annual Allerton Conference on Communication, Control, and Computing, pages 704-711. IEEE, 2010.
[29] Jicong Fan and Madeleine Udell. Online high rank matrix completion. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 8690-8698, 2019.
[30] Jicong Fan. Dynamic nonlinear matrix completion for time-varying data imputation. In Proceedings of the AAAI Conference on Artificial Intelligence, volume 36, pages 6587-6596, 2022.
[31] Fangchen Yu, Yicheng Zeng, Jianfeng Mao, and Wenye Li. Online estimation of similarity matrices with incomplete data. In Uncertainty in Artificial Intelligence, pages 2454-2464. PMLR, 2023.
[32] Elzbieta Pekalska and Robert PW Duin. The dissimilarity representation for pattern recognition - foundations and applications. Series in Machine Perception and Artificial Intelligence, 64, 2005.