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A semi-self-supervised learning model to recognize handwrit..:
Jindal, Amar
;
Ghosh, Rajib
Neural Computing and Applications. 36 (2024) 20 - p. 11791-11808 , 2024
Link:
https://doi.org/10.1007/s00521-023-09372-5
RT Journal T1 <Title>A semi-self-supervised learning model to recognize handwritten characters in ancient documents in Indian scripts</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_s00521-023-09372-5&Exemplar=1&LAN=DE A1 Jindal, Amar A1 Ghosh, Rajib PB Springer Science and Business Media LLC YR 2024 SN 0941-0643 SN 1433-3058 JF Neural Computing and Applications VO 36 IS 20 SP 11791 OP 11808 LK http://dx.doi.org/https://doi.org/10.1007/s00521-023-09372-5 DO https://doi.org/10.1007/s00521-023-09372-5 SF ELIB - SuUB Bremen
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