Supervised and semi-supervised deep probabilistic models for indoor positioning problems

•The WiFi fingerprint-based positioning problems are investigated.•A hybrid deep learning-based model is introduced.•A deep learning-based semi-supervised model is introduced.•The validation experiments are conducted to demonstrate the effectiveness of the proposed methods. WiFi fingerprint-based in...

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Bibliographic Details

Published in:	Neurocomputing (Amsterdam) Vol. 435; pp. 228 - 238
Main Authors:	Qian, Weizhu, Lauri, Fabrice, Gechter, Franck
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 07.05.2021
Subjects:	Indoor positioning Mixture density networks Semi-supervised learning Variational autoencoders WiFi fingerprints Variational autoencoders Mixture density networks WiFi fingerprints Semi-supervised learning Indoor positioning
ISSN:	0925-2312, 1872-8286
Online Access:	Get full text
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