Tensor Robust Principal Component Analysis with Low-Rank Weight Constraints for Sample Clustering

Yu-Ying Zhao, Mao-Li Wang, Juan Wang 0003, Shasha Yuan, Jin-Xing Liu, Xiang-Zhen Kong. Tensor Robust Principal Component Analysis with Low-Rank Weight Constraints for Sample Clustering. In Taesung Park, Young-Rae Cho, Xiaohua Hu, Illhoi Yoo, Hyun Goo Woo, Jianxin Wang 0001, Julio C. Facelli, Seungyoon Nam, Mingon Kang, editors, IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020, Virtual Event, South Korea, December 16-19, 2020. pages 397-401, IEEE, 2020. [doi]

@inproceedings{ZhaoWWYLK20,
  title = {Tensor Robust Principal Component Analysis with Low-Rank Weight Constraints for Sample Clustering},
  author = {Yu-Ying Zhao and Mao-Li Wang and Juan Wang 0003 and Shasha Yuan and Jin-Xing Liu and Xiang-Zhen Kong},
  year = {2020},
  doi = {10.1109/BIBM49941.2020.9313287},
  url = {https://doi.org/10.1109/BIBM49941.2020.9313287},
  researchr = {https://researchr.org/publication/ZhaoWWYLK20},
  cites = {0},
  citedby = {0},
  pages = {397-401},
  booktitle = {IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020, Virtual Event, South Korea, December 16-19, 2020},
  editor = {Taesung Park and Young-Rae Cho and Xiaohua Hu and Illhoi Yoo and Hyun Goo Woo and Jianxin Wang 0001 and Julio C. Facelli and Seungyoon Nam and Mingon Kang},
  publisher = {IEEE},
  isbn = {978-1-7281-6215-7},
}