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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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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The Lateral Conflict Risk Assessment for Low-altitude Training Airspace using Weakly Supervised Learning Method

Intelligent Automation & Soft Computing ◽

10.31209/2018.100000027 ◽

2018 ◽

Vol 24 (3) ◽

pp. 603-611

Author(s):

Kaijun Xu ◽

Xueting Chen ◽

Yusheng Yao ◽

Shanshan Li

Keyword(s):

Risk Assessment ◽

Supervised Learning ◽

Altitude Training ◽

Learning Method ◽

Weakly Supervised Learning ◽

Low Altitude ◽

Weakly Supervised ◽

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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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An improved weakly supervised learning system for detection of sound events in domestic environments

Proceedings of the 5th International Conference on Communication and Information Processing ◽

10.1145/3369985.3370007 ◽

2019 ◽

Author(s):

Dezhi Wang ◽

Lilun Zhang ◽

Xinghua Cheng ◽

Dan Zou ◽

Wenbin Xiao

Keyword(s):

Supervised Learning ◽

Learning System ◽

Weakly Supervised Learning ◽

Domestic Environments ◽

Weakly Supervised

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Novel American Sign Language Fingerspelling Recognition in the Wild with Weakly Supervised Learning and Feature Embedding

2021 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) ◽

10.1109/ecti-con51831.2021.9454677 ◽

2021 ◽

Author(s):

Peerawat Pannattee ◽

Wuttipong Kumwilaisak ◽

Chatchawarn Hansakunbuntheung ◽

Nattanun Thatphithakkul

Keyword(s):

American Sign Language ◽

Supervised Learning ◽

Sign Language ◽

American Sign ◽

Weakly Supervised Learning ◽

In The Wild ◽

Weakly Supervised

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Weakly Supervised Learning Creates a Fusion of Modeling Cultures

Observational Studies ◽

10.1353/obs.2021.0011 ◽

2021 ◽

Vol 7 (1) ◽

pp. 203-211

Author(s):

Chengliang Tang ◽

Gan Yuan ◽

Tian Zheng

Keyword(s):

Supervised Learning ◽

Weakly Supervised Learning ◽

Weakly Supervised

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Effects of Network Depths on Semantic Image Segmentation By Weakly Supervised Learning

2020 28th Signal Processing and Communications Applications Conference (SIU) ◽

10.1109/siu49456.2020.9302471 ◽

2020 ◽

Author(s):

Cenk Bircanoglu ◽

Nafiz Arica

Keyword(s):

Image Segmentation ◽

Supervised Learning ◽

Weakly Supervised Learning ◽

Semantic Image Segmentation ◽

Weakly Supervised

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