Combined Segmentation and Recognition of Online Handwritten Diagrams with High Order Markov Random Field-Reference-Cited by-同舟云学术

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Combined Segmentation and Recognition of Online Handwritten Diagrams with High Order Markov Random Field

Published:2016-10 Issue: Volume: Page:
ISSN:
Container-title:2016 15th International Conference on Frontiers in Handwriting Recognition (ICFHR)
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Author:

Wang Chengcheng,Mouchere Harold,Viard-Gaudin Christian,Jin Lianwen

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7811907/7814017/07814072.pdf?arnumber=7814072

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Using YOLO Network for Automatic Processing of Finite Automata Images with Application to Bit-Strings Recognition;Proceedings of the ACM Symposium on Document Engineering 2023;2023-08-22

2. A Shallow Graph Neural Network with Innovative Node Updating for Online Handwritten Stroke Classification;Lecture Notes in Computer Science;2023

3. A dive in white and grey shades of ML and non-ML literature: a multivocal analysis of mathematical expressions;Artificial Intelligence Review;2022-12-06

4. Machine learning models for mathematical symbol recognition: A stem to stern literature analysis;Multimedia Tools and Applications;2022-03-31

5. DrawnNet: Offline Hand-Drawn Diagram Recognition Based on Keypoint Prediction of Aggregating Geometric Characteristics;Entropy;2022-03-19

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