Feb. 16, 2024, 5:44 a.m. | Kevin Klein, Alyssa Wohde, Alexander V. Gorelik, Volker Heyd, Ralf L\"ammel, Yoan Diekmann, Maxime Brami

cs.LG updates on arXiv.org arxiv.org

arXiv:2311.17978v2 Announce Type: replace-cross
Abstract: The context of this paper is the creation of large uniform archaeological datasets from heterogeneous published resources, such as find catalogues - with the help of AI and Big Data. The paper is concerned with the challenge of consistent assemblages of archaeological data. We cannot simply combine existing records, as they differ in terms of quality and recording standards. Thus, records have to be recreated from published archaeological illustrations. This is only a viable path …

abstract ai and big data arxiv automated big big data challenge consistent context cs.cv cs.gr cs.lg data datasets detection paper recording resources type uniform workflow

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