Listar LSI_Articles por autoría "51a9d73e-58a1-41f6-9151-5e43c21f687c"
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Autoencoder Extreme Learning Machine for Fingerprint-Based Positioning: A Good Weight Initialization is Decisive
Quezada Gaibor, Darwin; Klus, Lucie; Klus, Roman; Lohan, Elena Simona; Nurmi, Jari; Valkama, Mikko; Huerta, Joaquin IEEE (2023-07-27)Indoor positioning based on machine-learning (ML) models has attracted widespread interest in the last few years, given its high performance and usability. Supervised, semisupervised, and unsupervised models have thus been ... -
EWOk: Towards Efficient Multidimensional Compression of Indoor Positioning Datasets (Epub ahead of print)
Klus, Lucie; Klus, Roman; Torres-Sospedra, Joaquín; Lohan, Elena Simona; Granell, Carlos; Nurmi, Jari Institute of Electrical and Electronics Engineers Inc. (2023-05-17)Indoor positioning performed directly at the end-user device ensures reliability in case the network connection fails but is limited by the size of the RSS radio map necessary to match the measured array to the device’s ...