Efficient calibration for rssi-based indoor localization by bayesian experimental design on multi-task classification

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]

Abstract

Abstract is missing.