Herrmann, Nikolai (2024) A Generalized Deep Learning-Based Pipeline for Historical Manuscript Dating. Master's Thesis / Essay, Artificial Intelligence.
Text
mAI2024HerrmannNA.pdf Restricted to Registered users only Download (48MB) |
Abstract
De begeleider en/of auteur heeft geen toestemming gegeven tot het openbaar maken van de scriptie. The supervisor and/or the author did not authorize public publication of the thesis.
Item Type: | Thesis (Master's Thesis / Essay) |
---|---|
Supervisor name: | Dhali, M.A. and Schomaker, L.R.B. |
Degree programme: | Artificial Intelligence |
Thesis type: | Master's Thesis / Essay |
Language: | English |
Date Deposited: | 23 Jul 2024 13:54 |
Last Modified: | 23 Jul 2024 13:54 |
URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/33616 |
Actions (login required)
View Item |