Gaussian Process Regression for Improving the Performance of Self-powered Time-of-Occurrence Sensors. Zhou, L., Aono, K., & Chakrabartty, S. In IEEE 61st International Midwest Symposium on Circuits and Systems, MWSCAS 2018, Windsor, ON, Canada, August 5-8, 2018, pages 996–999, 2018.
Gaussian Process Regression for Improving the Performance of Self-powered Time-of-Occurrence Sensors [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/mwscas/0004AC18,
  author       = {Liang Zhou and
                  Kenji Aono and
                  Shantanu Chakrabartty},
  title        = {Gaussian Process Regression for Improving the Performance of Self-powered
                  Time-of-Occurrence Sensors},
  booktitle    = {{IEEE} 61st International Midwest Symposium on Circuits and Systems,
                  {MWSCAS} 2018, Windsor, ON, Canada, August 5-8, 2018},
  pages        = {996--999},
  year         = {2018},
  crossref     = {DBLP:conf/mwscas/2018},
  url          = {https://doi.org/10.1109/MWSCAS.2018.8624046},
  doi          = {10.1109/MWSCAS.2018.8624046},
  timestamp    = {Wed, 25 Sep 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/mwscas/0004AC18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

Downloads: 0