Masamichi Shimosaka, Osamu Saisho. Efficient calibration for rssi-based indoor localization by bayesian experimental design on multi-task classification. In Paul Lukowicz, Antonio Krüger, Andreas Bulling, Youn-Kyung Lim, Shwetak N. Patel, editors, Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016, Heidelberg, Germany, September 12-16, 2016. pages 244-249, ACM, 2016. [doi]
@inproceedings{ShimosakaS16,
title = {Efficient calibration for rssi-based indoor localization by bayesian experimental design on multi-task classification},
author = {Masamichi Shimosaka and Osamu Saisho},
year = {2016},
doi = {10.1145/2971648.2971710},
url = {http://doi.acm.org/10.1145/2971648.2971710},
researchr = {https://researchr.org/publication/ShimosakaS16},
cites = {0},
citedby = {0},
pages = {244-249},
booktitle = {Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016, Heidelberg, Germany, September 12-16, 2016},
editor = {Paul Lukowicz and Antonio Krüger and Andreas Bulling and Youn-Kyung Lim and Shwetak N. Patel},
publisher = {ACM},
isbn = {978-1-4503-4461-6},
}