Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2014, Article ID 850926, 8 pages
http://dx.doi.org/10.1155/2014/850926
Research Article

Random Forest Based Coarse Locating and KPCA Feature Extraction for Indoor Positioning System

1Communication Research Center, Harbin Institute of Technology, Harbin 150080, China
2Key Engineering Research Center for Dedicated Communication Systems, Ministry of Education, Harbin 150080, China
3Open System Laboratory, University of Illinois at Urbana-Champaign, Champaign, IL 61801, USA

Received 5 July 2014; Accepted 9 October 2014; Published 22 October 2014

Academic Editor: Wanquan Liu

Copyright © 2014 Yun Mo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Yun Mo, Zhongzhao Zhang, Yang Lu, Weixiao Meng, and Gul Agha, “Random Forest Based Coarse Locating and KPCA Feature Extraction for Indoor Positioning System,” Mathematical Problems in Engineering, vol. 2014, Article ID 850926, 8 pages, 2014. https://doi.org/10.1155/2014/850926.