Technical perspective: Compressing matrices for large-scale machine learning

Zachary G. Ives. Technical perspective: Compressing matrices for large-scale machine learning. Communications of the ACM, 62(5):82, 2019. [doi]

@article{Ives19,
  title = {Technical perspective: Compressing matrices for large-scale machine learning},
  author = {Zachary G. Ives},
  year = {2019},
  url = {https://dl.acm.org/citation.cfm?id=3318219},
  researchr = {https://researchr.org/publication/Ives19},
  cites = {0},
  citedby = {0},
  journal = {Communications of the ACM},
  volume = {62},
  number = {5},
  pages = {82},
}