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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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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Handwritten Mathematical Expression Recognition Using Convolutional Neural Network

2018 3rd International Conference on Control, Robotics and Cybernetics (CRC) ◽

10.1109/crc.2018.00012 ◽

2018 ◽

Author(s):

Giang Son Tran ◽

Chi-Kien Huynh ◽

Thanh-Sach Le ◽

Tan-Phuc Phan ◽

Khanh-Ngoc Bui

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Mathematical Expression ◽

Expression Recognition ◽

Mathematical Expression Recognition

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Design of Online Handwritten Mathematical Expression Recognition System Based on Gated Recurrent Unit Recurrent Neural Network

10.1109/prai53619.2021.9551034 ◽

2021 ◽

Author(s):

Zheng Endong ◽

Liu Licheng

Keyword(s):

Neural Network ◽

Recurrent Neural Network ◽

Mathematical Expression ◽

Recognition System ◽

Expression Recognition ◽

Mathematical Expression Recognition ◽

Gated Recurrent Unit

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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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Offline Handwritten Mathematical Expression Recognition using Convolutional Neural Network

2018 International Conference on Information , Communication, Engineering and Technology (ICICET) ◽

10.1109/icicet.2018.8533789 ◽

2018 ◽

Author(s):

Lyzandra Drsouza ◽

Maruska Mascarenhas

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Mathematical Expression ◽

Expression Recognition ◽

Mathematical Expression Recognition

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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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Hybrid Neural Network for Handwritten Mathematical Expression Recognition system

10.1109/itss-ioe53029.2021.9615300 ◽

2021 ◽

Author(s):

G. Rajesh ◽

Rishikesh Narayanan ◽

Karthik Srivatsan ◽

Parthiban S ◽

X. Mercilin Raajini

Keyword(s):

Neural Network ◽

Mathematical Expression ◽

Recognition System ◽

Expression Recognition ◽

Hybrid Neural Network ◽

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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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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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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