PerCCS: person-count from carbon dioxide using sparse non-negative matrix factorization

Chandrayee Basu, Christian Koehler, Kamalika Das, Anind K. Dey. PerCCS: person-count from carbon dioxide using sparse non-negative matrix factorization. In Kenji Mase, Marc Langheinrich, Daniel Gatica-Perez, Hans Gellersen, Tanzeem Choudhury, Koji Yatani, editors, Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2015, Osaka, Japan, September 7-11, 2015. pages 987-998, ACM, 2015. [doi]

@inproceedings{BasuKDD15,
  title = {PerCCS: person-count from carbon dioxide using sparse non-negative matrix factorization},
  author = {Chandrayee Basu and Christian Koehler and Kamalika Das and Anind K. Dey},
  year = {2015},
  doi = {10.1145/2750858.2807525},
  url = {http://doi.acm.org/10.1145/2750858.2807525},
  researchr = {https://researchr.org/publication/BasuKDD15},
  cites = {0},
  citedby = {0},
  pages = {987-998},
  booktitle = {Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2015, Osaka, Japan, September 7-11, 2015},
  editor = {Kenji Mase and Marc Langheinrich and Daniel Gatica-Perez and Hans Gellersen and Tanzeem Choudhury and Koji Yatani},
  publisher = {ACM},
  isbn = {978-1-4503-3574-4},
}