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A Probabilistic Generative Model for Typographical Analysis of Early
  Modern Printing

A Probabilistic Generative Model for Typographical Analysis of Early Modern Printing

4 May 2020
Kartik Goyal
Chris Dyer
Christopher N. Warren
M. G'Sell
Taylor Berg-Kirkpatrick
ArXivPDFHTML

Papers citing "A Probabilistic Generative Model for Typographical Analysis of Early Modern Printing"

2 / 2 papers shown
Title
Historical Printed Ornaments: Dataset and Tasks
Historical Printed Ornaments: Dataset and Tasks
Sayan Kumar Chaki
Z. S. Baltaci
Elliot Vincent
Remi Emonet
Fabienne Vial-Bonacci
Christelle Bahier-Porte
Mathieu Aubry
Thierry Fournel
47
0
0
16 Aug 2024
Lacuna Reconstruction: Self-supervised Pre-training for Low-Resource
  Historical Document Transcription
Lacuna Reconstruction: Self-supervised Pre-training for Low-Resource Historical Document Transcription
Nikolai Vogler
J. Allen
M. Miller
Taylor Berg-Kirkpatrick
32
5
0
16 Dec 2021
1