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1 Ergebnisse
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DIGITNET : A Deep Handwritten Digit Detection and Recogniti..:
Kusetogullari, Hüseyin
;
Yavariabdi, Amir
;
Hall, Johan
.
Big Data Research, 2214-5796, 2021, 23,. , 2021
Link:
http://urn.kb.se/resolve?urn=urn:nbn:se:bth-20918
RT Journal T1
DIGITNET : A Deep Handwritten Digit Detection and Recognition Method Using a New Historical Handwritten Digit Dataset
UL https://suche.suub.uni-bremen.de/peid=base-ftblekingethallb:oai:DiVA.org:bth-20918&Exemplar=1&LAN=DE A1 Kusetogullari, Hüseyin A1 Yavariabdi, Amir A1 Hall, Johan A1 Lavesson, Niklas PB Blekinge Tekniska Högskola, Institutionen för datavetenskap; Skövde University, SWE; KTO Karatay University, TUR; Arkiv Digital, SWE; Jönköping University, SWE; Elsevier Inc. YR 2021 K1 DIDA handwritten digit dataset K1 Digit string recognition K1 Ensemble deep learning K1 Handwritten digit detection K1 Historical handwritten documents K1 Computer Vision and Robotics (Autonomous Systems) K1 Datorseende och robotik (autonoma system) JF Big Data Research, 2214-5796, 2021, 23, LK http://urn.kb.se/resolve?urn=urn:nbn:se:bth-20918 DO http://urn.kb.se/resolve?urn=urn:nbn:se:bth-20918 SF ELIB - SuUB Bremen
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