Track, Attend, and Parse (TAP): An End-to-End Framework for Online Handwritten Mathematical Expression Recognition

IEEE Transactions on Multimedia ◽

10.1109/tmm.2018.2844689 ◽

2019 ◽

Vol 21 (1) ◽

pp. 221-233 ◽

Author(s):

Jianshu Zhang ◽

Jun Du ◽

Lirong Dai

Keyword(s):

Mathematical Expression ◽

Expression Recognition ◽

Mathematical Expression Recognition ◽

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Improvement of End-to-End Offline Handwritten Mathematical Expression Recognition by Weakly Supervised Learning

2020 17th International Conference on Frontiers in Handwriting Recognition (ICFHR) ◽

10.1109/icfhr2020.2020.00042 ◽

2020 ◽

Author(s):

Thanh-Nghia Truong ◽

Cuong Tuan Nguyen ◽

Khanh Minh Phan ◽

Masaki Nakagawa

Keyword(s):

Supervised Learning ◽

Mathematical Expression ◽

Expression Recognition ◽

Weakly Supervised Learning ◽

Mathematical Expression Recognition ◽

Weakly Supervised

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Training an End-to-End System for Handwritten Mathematical Expression Recognition by Generated Patterns

2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR) ◽

10.1109/icdar.2017.175 ◽

2017 ◽

Author(s):

Anh Duc Le ◽

Masaki Nakagawa

Keyword(s):

Mathematical Expression ◽

Expression Recognition ◽

Mathematical Expression Recognition ◽

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Watch, attend and parse: An end-to-end neural network based approach to handwritten mathematical expression recognition

Pattern Recognition ◽

10.1016/j.patcog.2017.06.017 ◽

2017 ◽

Vol 71 ◽

pp. 196-206 ◽

Author(s):

Jianshu Zhang ◽

Jun Du ◽

Shiliang Zhang ◽

Dan Liu ◽

Yulong Hu ◽

...

Keyword(s):

Neural Network ◽

Mathematical Expression ◽

Expression Recognition ◽

Mathematical Expression Recognition ◽

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Context-aware mathematical expression recognition: An end-to-end framework and a benchmark

2016 23rd International Conference on Pattern Recognition (ICPR) ◽

10.1109/icpr.2016.7900135 ◽

2016 ◽

Author(s):

Wenhao He ◽

Yuxuan Luo ◽

Fei Yin ◽

Han Hu ◽

Junyu Han ◽

...

Keyword(s):

Mathematical Expression ◽

Expression Recognition ◽

Context Aware ◽

Mathematical Expression Recognition ◽

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Residual BiRNN Based Seq2Seq Model with Transition Probability Matrix for Online Handwritten Mathematical Expression Recognition

2019 International Conference on Document Analysis and Recognition (ICDAR) ◽

10.1109/icdar.2019.00107 ◽

2019 ◽

Author(s):

Zelin Hong ◽

Ning You ◽

Jun Tan ◽

Ning Bi

Keyword(s):

Transition Probability ◽

Mathematical Expression ◽

Transition Probability Matrix ◽

Expression Recognition ◽

Mathematical Expression Recognition

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Overview of Mathematical Expression Recognition

Pattern Recognition and Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-030-59830-3_4 ◽

2020 ◽

pp. 41-54

Author(s):

Jiashu Huang ◽

Jun Tan ◽

Ning Bi

Keyword(s):

Mathematical Expression ◽

Expression Recognition ◽

Mathematical Expression Recognition

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MRD: A Memory Relation Decoder for Online Handwritten Mathematical Expression Recognition

10.1007/978-3-030-86334-0_3 ◽

2021 ◽

pp. 39-54

Author(s):

Jiaming Wang ◽

Qing Wang ◽

Jun Du ◽

Jianshu Zhang ◽

Bin Wang ◽

...

Keyword(s):

Mathematical Expression ◽

Expression Recognition ◽

Mathematical Expression Recognition

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Multi-Scale Attention with Dense Encoder for Handwritten Mathematical Expression Recognition

2018 24th International Conference on Pattern Recognition (ICPR) ◽

10.1109/icpr.2018.8546031 ◽

2018 ◽

Author(s):

Jianshu Zhang ◽

Jun Du ◽

Lirong Dai

Keyword(s):

Mathematical Expression ◽

Expression Recognition ◽

Mathematical Expression Recognition ◽

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A Hybrid Segmentation System of Offline Arabic Mathematical Expression Recognition

International Symposium on Information Engineering and Electronic Commerce, 3rd (IEEC 2011) ◽

10.1115/1.859759.paper44 ◽

2011 ◽

pp. 186-189

Keyword(s):

Mathematical Expression ◽

Expression Recognition ◽

Mathematical Expression Recognition ◽

Hybrid Segmentation

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Robust encoder-decoder learning framework for offline handwritten mathematical expression recognition based on a multi-scale deep neural network

Science China Information Sciences ◽

10.1007/s11432-018-9824-9 ◽

2020 ◽

Vol 64 (3) ◽

Author(s):

Guangcun Shan ◽

Hongyu Wang ◽

Wei Liang ◽

Kai Chen

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Mathematical Expression ◽

Expression Recognition ◽

Mathematical Expression Recognition ◽

Learning Framework ◽

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