Improving dataset volumes and model accuracy with semi-supervised iterative self-learning

Robert Dupre; Jiri Fajtl; Vasileios Argyriou; Paolo Remagnino

doi:10.1109/TIP.2019.2913986

Improving dataset volumes and model accuracy with semi-supervised iterative self-learning

Robert Dupre
, Jiri Fajtl
, Vasileios Argyriou
, Paolo Remagnino

Kingston University

Research output: Contribution to journal › Article › peer-review

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Original language	English
Pages (from-to)	4337-4348
Journal	IEEE Transactions on Image Processing
Volume	29
Early online date	6 May 2019
DOIs	https://doi.org/10.1109/TIP.2019.2913986
Publication status	Published - 2020

Bibliographical note

Note: This work was supported in part by the European Union's Horizon 2020 Programme for Research and Innovation Actions within IoT (2016): Large Scale Pilots: Wearables for smart ecosystem.

Keywords

Computer science and informatics

Access to Document

10.1109/TIP.2019.2913986

Dupre-R-43339-AAMAccepted author manuscript, 1.84 MBLicence: Unspecified

https://doi.org/10.1109/TIP.2019.2913986

Cite this

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AU - Fajtl, Jiri

AU - Argyriou, Vasileios

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