Graph-Based Keyword Spotting in Historical Documents Using Context-Aware Hausdorff Edit Distance-Reference-Cited by-同舟云学术

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Graph-Based Keyword Spotting in Historical Documents Using Context-Aware Hausdorff Edit Distance

Published:2018-04 Issue: Volume: Page:
ISSN:
Container-title:2018 13th IAPR International Workshop on Document Analysis Systems (DAS)
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Author:

Stauffer Michael,Fischer Andreas,Riesen Kaspar

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8394761/8395092/08395170.pdf?arnumber=8395170

Cited by 6 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. Representation of spatial objects by shift-equivariant similarity-preserving hypervectors;Neural Computing and Applications;2022-09-07

2. Graph Convolutional Neural Networks for Learning Attribute Representations for Word Spotting;Document Analysis and Recognition – ICDAR 2021;2021

3. Deep Learning for Historical Document Analysis and Recognition—A Survey;Journal of Imaging;2020-10-16

4. Reducing personal clothing consumption: A cross-cultural validation of the comprehensive action determination model;Journal of Environmental Psychology;2020-10

5. Connectedness with nature and the decline of pro-environmental behavior in adolescence: A comparison of Canada and China;Journal of Environmental Psychology;2020-10

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