Low-rank matrix recovery from quantized and erroneous measurements: Accuracy-preserved data privatization in power grids

Pengzhi Gao, Ren Wang, Meng Wang, Joe H. Chow. Low-rank matrix recovery from quantized and erroneous measurements: Accuracy-preserved data privatization in power grids. In Michael B. Matthews, editor, 50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016, Pacific Grove, CA, USA, November 6-9, 2016. pages 374-378, IEEE, 2016. [doi]

@inproceedings{GaoWWC16,
  title = {Low-rank matrix recovery from quantized and erroneous measurements: Accuracy-preserved data privatization in power grids},
  author = {Pengzhi Gao and Ren Wang and Meng Wang and Joe H. Chow},
  year = {2016},
  doi = {10.1109/ACSSC.2016.7869063},
  url = {http://dx.doi.org/10.1109/ACSSC.2016.7869063},
  researchr = {https://researchr.org/publication/GaoWWC16},
  cites = {0},
  citedby = {0},
  pages = {374-378},
  booktitle = {50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016, Pacific Grove, CA, USA, November 6-9, 2016},
  editor = {Michael B. Matthews},
  publisher = {IEEE},
  isbn = {978-1-5386-3954-2},
}