Semi-supervised Deep Learning-based Methods for Indoor Outdoor Detection

web mining and graph mining Big data practices and applications Mobility and big data crowdsourcing data mining Machine learning Semi-Supervised Learning 3GPP radio measurement Deep Learning Environment Classification real user activity Indoor Outdoor Detection

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Artificial Intelligence [cs.AI] Networking and Internet Architecture [cs.NI]

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ICC_14_Oct_2018_CameraReadyVersion.pdf (689.33 Ko)

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kamal SINGH : Connect in order to contact the contributor

https://hal.science/hal-02011449

Submitted on : Tuesday, June 4, 2019-4:26:40 PM

Last modification on : Tuesday, July 9, 2024-11:00:04 AM

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hal-02011449 , version 1 (04-06-2019)

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HAL Id : hal-02011449 , version 1
DOI : 10.1109/ICC.2019.8761297

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Illyyne Saffar, Marie-Line Alberi-Morel, Kamal Deep Singh, César Viho. Semi-supervised Deep Learning-based Methods for Indoor Outdoor Detection. ICC 2019 - IEEE International Conference on Communications, May 2019, Shangai, China. pp.1-7, ⟨10.1109/ICC.2019.8761297⟩. ⟨hal-02011449⟩

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