Exploiting unlabeled RSSI fingerprints in multi-building and multi-floor indoor localization through deep semi-supervised learning based on mean teacher

Kim, K. S. (Speaker)

Department of Communications and Networking

Activity: Talk or presentation › Presentation at conference/workshop/seminar

Description

Invited talk, 2023 International Workshop for Future Values of Mathematics and Its Applications, Chungnam National University (CNU), Daejoen, Korea.

Period	8 Aug 2023
Held at	Chungnam National University, Korea, Republic of
Degree of Recognition	International

Keywords

indoor localization
semi-supervised learning
Wi-Fi fingerprinting

Documents & Links

2023 International workshop for Future Value of Mathematics and its Applications
File: application/pdf, 20.7 MB
Type: Text

Related content

Research output
On the Use and Construction of Wi-Fi Fingerprint Databases for Large-Scale Multi-Building and Multi-Floor Indoor Localization: A Case Study of the UJIIndoorLoc Database
Research output: Contribution to journal › Article › peer-review
Stage-Wise and Hierarchical Training of Linked Deep Neural Networks for Large-Scale Multi-Building and Multi-Floor Indoor Localization Based on Wi-Fi Fingerprinting
Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
Exploiting Unlabeled RSSI Fingerprints in Multi-Building and Multi-Floor Indoor Localization through Deep Semi-Supervised Learning Based on Mean Teacher
Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review