SoS-RSC: A Sum-of-Squares Polynomial Approach to Robustifying Subspace Clustering Algorithms

Mario Sznaier, Octavia I. Camps. SoS-RSC: A Sum-of-Squares Polynomial Approach to Robustifying Subspace Clustering Algorithms. In 2018 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2018, Salt Lake City, UT, USA, June 18-22, 2018. pages 8033-8041, IEEE Computer Society, 2018. [doi]

@inproceedings{SznaierC18,
  title = {SoS-RSC: A Sum-of-Squares Polynomial Approach to Robustifying Subspace Clustering Algorithms},
  author = {Mario Sznaier and Octavia I. Camps},
  year = {2018},
  url = {http://openaccess.thecvf.com/content_cvpr_2018/html/Sznaier_SoS-RSC_A_Sum-of-Squares_CVPR_2018_paper.html},
  researchr = {https://researchr.org/publication/SznaierC18},
  cites = {0},
  citedby = {0},
  pages = {8033-8041},
  booktitle = {2018 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2018, Salt Lake City, UT, USA, June 18-22, 2018},
  publisher = {IEEE Computer Society},
}