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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Vydané v:	Neurocomputing (Amsterdam) Ročník 435; s. 228 - 238
Hlavní autori:	Qian, Weizhu, Lauri, Fabrice, Gechter, Franck
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 07.05.2021
Predmet:	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
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