Improving the recovery of principal components with semi-deterministic random projections

Keegan Kang, Giles Hooker. Improving the recovery of principal components with semi-deterministic random projections. In 2016 Annual Conference on Information Science and Systems, CISS 2016, Princeton, NJ, USA, March 16-18, 2016. pages 596-601, IEEE, 2016. [doi]

@inproceedings{KangH16,
  title = {Improving the recovery of principal components with semi-deterministic random projections},
  author = {Keegan Kang and Giles Hooker},
  year = {2016},
  doi = {10.1109/CISS.2016.7460570},
  url = {http://dx.doi.org/10.1109/CISS.2016.7460570},
  researchr = {https://researchr.org/publication/KangH16},
  cites = {0},
  citedby = {0},
  pages = {596-601},
  booktitle = {2016 Annual Conference on Information Science and Systems, CISS 2016, Princeton, NJ, USA, March 16-18, 2016},
  publisher = {IEEE},
  isbn = {978-1-4673-9457-4},
}