Semi-supervised Variational Autoencoder for WiFi Indoor Localization

We address the problem of indoor localization based on WiFi signal strengths. We develop a semi-supervised deep learning method able to train a prediction model from a small set of annotated WiFi observations and a massive set of non-annotated ones. Our method is based on the variational au-toencode...

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Vydané v:	International Conference on Indoor Positioning and Indoor Navigation s. 1 - 8
Hlavní autori:	Chidlovskii, Boris, Antsfeld, Leonid
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.09.2019
Predmet:	Buildings Data collection Deep learning Predictive models semi-supervised learning Semisupervised learning Task analysis UJI-IndoorLoc dataset variational auto-encoder WiFi based indoor localization Wireless fidelity
ISSN:	2471-917X
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