Record link: 
http://hdl.handle.net/20.500.12708/223671
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Title: 
Advances in Machine Learning for the Automated Analysis of Manuscripts
en
Citation: 
Kleber, F., Peer, M., & Sablatnig, R. (2025). Advances in Machine Learning for the Automated Analysis of Manuscripts. In P. Banou, G. Boudalis, P. Engel, I. Kecskemeti, F. Pinzari, M. Odlyha, J. Schiro, & Jedert Vodopivec Tomažič (Eds.), Written Heritage, New Challenges and Perspectives (pp. 355–377). Verlag Berger Horn.
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Publication Type: 
Inproceedings - Full-Paper Contribution
en
Language: 
English
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Authors: 
Kleber, Florian 
Peer, Marco 
Sablatnig, Robert 
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Organisational Unit: 
E193-01 - Forschungsbereich Computer Vision 
E056-12 - Fachbereich ENROL DP 
E056-18 - Fachbereich Visual Analytics and Computer Vision Meet Cultural Heritage 
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Published in: 
Written Heritage, New Challenges and Perspectives 
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Date (published): 
2025
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Event name: 
Written heritage: new challenges and perspectives, 2023 
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Event date: 
2-Mar-2023 - 3-Mar-2023
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Event place: 
Austria
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Number of Pages: 
23
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Publisher: 
Verlag Berger Horn, Wien
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Peer reviewed: 
Yes
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Keywords: 
Document Analysis; Deep Learning; Document Image Analysis; Writer Retrieval; Handwritten Text Recognition; Unsupervised Learning; Cultural heritage and pattern recognition; Automated handwriting/text recognition; Machine learning for document analysis
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Research Areas: 
Visual Computing and Human-Centered Technology: 100%
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Science Branch: 
1020 - Informatik: 90%
1010 - Mathematik: 10%
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Appears in Collections:
Conference Paper

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