UMLI: An unsupervised mobile locations extraction approach with incomplete data

Location extraction in an indoor environment is a great challenge, and yet, it is of great interest to retrieve locations information without manually labeling them. Indoor location information, e.g. which room a user is located, is precious for applications such as location based services, mobility...

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Bibliographische Detailangaben

Hauptverfasser:	Nam Tuan Nguyen, Rong Zheng, Zhu Han
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Global Positioning System Manuals Radio frequency
Online-Zugang:	Volltext bestellen
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