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| Presentation | 2012-11-08 15:00 Simplified WLAN Localization Deployment by Learning from Route Annotation Ryoma Kawajiri, Masamichi Shimosaka, Rui Fukui, Tomomasa Sato (the Univ. of Tokyo)  IBISML2012-88 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Recently wireless LAN (WLAN) localization systems are gaining popularity in pervasive computing, machine learning and sensor networks communities, especially indoor scenarios where GPS coverage is limited. To accurately predict location, a large amount of fingerprints composed of received signal strength values is necessary. Moreover, standard supervised or semi-supervised approaches also require location information to each fingerprint, where annotation work is rather tedious and time consuming. To reduce the efforts and time required to build calibration data, we present a novel calibration methodology “route-annotation” and a self-training algorithm for learning from route information effectively. On the proposed calibration methodology, an annotator walks around while measuring fingerprints, then occasionally stops to annotate fingerprints with route from previous location to current location. This calibration reduces work time even compared to partially annotation, while routes have richer information for learning. The proposed learning algorithm comprises following two iterative steps: 1) in- ferring locations of each fingerprint under route constraints and 2) updating parameters. Experimental results on real-world datasets demonstrate learning from route-annotated data is comparable to state-of-the-art supervised and semi-supervised approaches trained with large amount of calibration data. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | WLAN Localization / Route Annotation / Self-Training / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 112, no. 279, IBISML2012-88, pp. 387-394, Nov. 2012. | |
| Paper # | IBISML2012-88 | |
| Date of Issue | 2012-10-31 (IBISML) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | IBISML2012-88 |
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| Conference Information | |
| Committee | IBISML |
| Conference Date | 2012-11-07 - 2012-11-09 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Bunkyo School Building, Tokyo Campus, Tsukuba Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | the 15th Information-Based Induction Sciences Workshop |
| Paper Information | |
| Registration To | IBISML |
| Conference Code | 2012-11-IBISML |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Simplified WLAN Localization Deployment by Learning from Route Annotation |
| Sub Title (in English) | |
| Keyword(1) | WLAN Localization |
| Keyword(2) | Route Annotation |
| Keyword(3) | Self-Training |
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| 1st Author's Name | Ryoma Kawajiri |
| 1st Author's Affiliation | the University of Tokyo (the Univ. of Tokyo) |
| 2nd Author's Name | Masamichi Shimosaka |
| 2nd Author's Affiliation | the University of Tokyo (the Univ. of Tokyo) |
| 3rd Author's Name | Rui Fukui |
| 3rd Author's Affiliation | the University of Tokyo (the Univ. of Tokyo) |
| 4th Author's Name | Tomomasa Sato |
| 4th Author's Affiliation | the University of Tokyo (the Univ. of Tokyo) |
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| Speaker | Author-1 |
| Date Time | 2012-11-08 15:00:00 |
| Presentation Time | 150 minutes |
| Registration for | IBISML |
| Paper # | IBISML2012-88 |
| Volume (vol) | vol.112 |
| Number (no) | no.279 |
| Page | pp.387-394 |
| #Pages | 8 |
| Date of Issue | 2012-10-31 (IBISML) |
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