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Classification of hieratic signs with neural networks and dimensionality reduction

Mark-Jan Nederhof, Julius A. Tabin, Christian Casey

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Different methods are evaluated to automatically classify images of hieratic signs. Contrasted are convolutional neural networks and simpler methods that require little or no training. Also explored is input of signs by drawing on modern graphical input devices.
Original languageEnglish
Title of host publicationÄgyptologische „Binsen“-Weisheiten V
Subtitle of host publicationakten der internationalen tagung in der Akademie der Wissenschaften und der Literatur, Mainz im April 2024
EditorsSvenja A. Gülden, Tobias Konrad, Kyra van der Moezel, Ursula Verhoeven
Place of PublicationStuttgart
PublisherFranz Steiner Verlag
ISBN (Print)9783515141871
Publication statusPublished - 1 Mar 2026
EventÄgyptologische „Binsen“-Weisheiten V - Academy of Sciences and Literature, Mainz, Germany
Duration: 11 Apr 202413 Apr 2024
https://converia.uni-mainz.de/frontend/index.php?page_id=3205

Publication series

NameAbhandlungen der Akademie der Wissenschaften und der Literatur, Mainz. Geistes- und sozialwissenschaftliche Klasse Einzelveröffentlichungen
PublisherFranz Steiner Verlag
Volume19
ISSN (Print)0723-7472

Conference

ConferenceÄgyptologische „Binsen“-Weisheiten V
Country/TerritoryGermany
CityMainz
Period11/04/2413/04/24
Internet address

Keywords

  • Hieratic
  • Classification
  • Machine learning
  • Corpora
  • Text input

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