Pattern generation strategies for improving recognition of Handwritten Mathematical Expressions-Reference-Cited by-同舟云学术

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Pattern generation strategies for improving recognition of Handwritten Mathematical Expressions

Published:2019-12 Issue: Volume:128 Page:255-262
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Le Anh Duc^ORCID,Indurkhya Bipin,Nakagawa Masaki^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference25 articles.

1. D. Bahdanau, K. Cho, and Y. Bengio, 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473.

2. Show, attend and tell: neural image caption generation with visual attention;Xu;ICML,2015

3. Mathematical expression recognition: a survey;Chan;IJDAR,2000

4. Recognition and retrieval of mathematical expressions;Zanibbi;IJDAR,2012

5. ICDAR 2013 CROHME: third international competition on recognition of online handwritten mathematical expressions;Mouchère,2013

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