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Natalia Lyubova

Biographic Data

ID10123403
NAMENatalia Lyubova
GIVEN NAMESNatalia
FAMILY NAMELyubova
SIGNATURELYUBOVA N
AFFILIATIONSLaboratoire de Recherche sur la Croissance Cellulaire, la Réparation et la Régénération Tissulaires
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2022
H-INDEX0
  • Multi-modal Open World User Identification

    Open Access•Bahar Irfan, M Ortiz et al.•ARTICLE•ACM Transactions on Human-Robot…•2022

    User identification is an essential step in creating a personalised long-term interaction with robots. This requires learning the users continuously and incrementally, possibly starting from a state without any known user. In this article, we describe a multi-modal incremental Bayesian network with online learning, which is the first method that can be applied in such scenarios. Face recognition is used as the primary biometric, and it is combine…

No prominent works on this page.

  • Multi-modal Open World User Identification

    Open Access•Bahar Irfan, M Ortiz et al.•ARTICLE•ACM Transactions on Human-Robot…•2022

    User identification is an essential step in creating a personalised long-term interaction with robots. This requires learning the users continuously and incrementally, possibly starting from a state without any known user. In this article, we describe a multi-modal incremental Bayesian network with online learning, which is the first method that can be applied in such scenarios. Face recognition is used as the primary biometric, and it is combine…

Artificial Intelligence (1 works) · Biometrics (1 works) · Computer Science (1 works) · Domain Adaptation and Few-Shot Learning (1 works) · Face recognition and analysis (1 works) · Facial recognition system (1 works) · Machine learning (1 works) · Modal (1 works) · Social Robot Interaction and HRI (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae