Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach

Tianyu Ding, Zhihui Zhu, René Vidal, Daniel P. Robinson. Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach. In Marina Meila, Tong Zhang 0001, editors, Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event. Volume 139 of Proceedings of Machine Learning Research, pages 2739-2748, PMLR, 2021. [doi]

@inproceedings{DingZVR21,
  title = {Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach},
  author = {Tianyu Ding and Zhihui Zhu and René Vidal and Daniel P. Robinson},
  year = {2021},
  url = {http://proceedings.mlr.press/v139/ding21b.html},
  researchr = {https://researchr.org/publication/DingZVR21},
  cites = {0},
  citedby = {0},
  pages = {2739-2748},
  booktitle = {Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event},
  editor = {Marina Meila and Tong Zhang 0001},
  volume = {139},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}