Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Gerfrid G. W. Müller"'
Autor:
Campbell, Dennis M.
Publikováno v:
Journal of Near Eastern Studies, 2011 Apr 01. 70(1), 104-105.
Externí odkaz:
https://www.jstor.org/stable/10.1086/658839
Autor:
Mark Weeden
Publikováno v:
Journal of Near Eastern Studies. 77:122-128
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78409021047e24884d8e8cc2e2a05b82
https://doi.org/10.1086/696827
https://doi.org/10.1086/696827
Autor:
Zaccagnini, Carlo
Publikováno v:
Archiv für Orientforschung, 1999 Jan 01. 46/47, 346-350.
Externí odkaz:
https://www.jstor.org/stable/41668483
Autor:
Dennis Campbell
Publikováno v:
Journal of Near Eastern Studies. 70:104-105
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a755e85a308d38db4f0e491d288d1acc
https://doi.org/10.1086/658839
https://doi.org/10.1086/658839
Publikováno v:
Journal on Computing and Cultural Heritage. 15:1-20
Automated content-based search for arbitrary cuneiform signs in photographic reproductions is a challenging task in the analysis of ancient documents, a central component of which is a reliable cuneiform sign classification. We present an illuminatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41b49de41016812440b9504b556b3689
https://doi.org/10.1145/3495263
https://doi.org/10.1145/3495263
Publikováno v:
Informatics, Vol 4, Iss 4, p 44 (2017)
The three-dimensional cuneiform script is one of the oldest known writing systems and a central object of research in Ancient Near Eastern Studies and Hittitology. An important step towards the understanding of the cuneiform script is the provision o
Externí odkaz:
https://doaj.org/article/25de29b4182c42af87c8d943d2ee5058
Publikováno v:
Document Analysis and Recognition – ICDAR 2021 ISBN: 9783030863302
ICDAR (2)
ICDAR (2)
In the document analysis community, intermediate representations based on binary attributes are used to perform retrieval tasks or recognize unseen categories. These visual attributes representing high-level semantics continually achieve state-of-the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e73d39a6109865f480210eb0630bad11
https://doi.org/10.1007/978-3-030-86331-9_19
https://doi.org/10.1007/978-3-030-86331-9_19
Publikováno v:
ICFHR
Intermediate representations based on binary attributes are widely used for image retrieval tasks. Especially for the task of word spotting, attribute representations continually achieves state-of-the-art results. In contrast to Latin scripts, the cu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7754ab19dcd01ca9df0de9d292ac838a
https://doi.org/10.1109/icfhr2020.2020.00019
https://doi.org/10.1109/icfhr2020.2020.00019
Autor:
Frank Weichert, Gerfrid G. W. Müller, Turna Somel, Gernot A. Fink, Eugen Rusakov, Denis Fisseler, Kai Brandenbusch
Publikováno v:
HIP@ICDAR
The efficient use of machine learning methods in the context of word spotting on cuneiform datasets is usually limited by the number of annotated training samples available. In view of the large amount of required data, their manual generation is a t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4de3e2fcfedc6ae34dab4d9535a77ba0
https://doi.org/10.1145/3352631.3352632
https://doi.org/10.1145/3352631.3352632