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Training an End-to-End System for Handwritten Mathematical ..:
, In:
2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)
,
Le, Anh Duc
;
Nakagawa, Masaki
- p. 1056-1061 , 2017
Link:
https://doi.org/10.1109/ICDAR.2017.175
RT T1 <cTitle>2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)</cTitle>: T1 <Title>Training an End-to-End System for Handwritten Mathematical Expression Recognition by Generated Patterns</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8270106&Exemplar=1&LAN=DE A1 Le, Anh Duc A1 Nakagawa, Masaki YR 2017 SN 2379-2140 K1 Distortion K1 Training K1 Mathematical model K1 Databases K1 Feature extraction K1 Handwriting recognition K1 Hidden Markov models K1 Online Handwritten Mathematical Expression Recognition K1 End-to-End Model K1 Encoder-Decoder Model K1 Patterns Generation SP 1056 OP 1061 LK http://dx.doi.org/https://doi.org/10.1109/ICDAR.2017.175 DO https://doi.org/10.1109/ICDAR.2017.175 SF ELIB - SuUB Bremen
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