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 Lucia Vadicamo

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Average citations per article0.00
Citation Count0
Publication count3
Publication years2015-2016
Available for download2
Average downloads per article141.00
Downloads (cumulative)282
Downloads (12 Months)246
Downloads (6 Weeks)17
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1 published by ACM
December 2016 Journal on Computing and Cultural Heritage (JOCCH): Volume 9 Issue 4, December 2016
Publisher: ACM
Citation Count: 0
Downloads (6 Weeks): 9,   Downloads (12 Months): 115,   Downloads (Overall): 128

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By bringing together the most prominent European institutions and archives in the field of Classical Latin and Greek epigraphy, the EAGLE project has collected the vast majority of the surviving Greco-Latin inscriptions into a single readily-searchable database. Text-based search engines are typically used to retrieve information about ancient inscriptions (or ...
Keywords: epigraphy, Latin and Greek inscriptions, convolutional neural network, Fisher vector

2 published by ACM
December 2016 ACM Transactions on Information Systems (TOIS): Volume 35 Issue 3, June 2017
Publisher: ACM
Citation Count: 0
Downloads (6 Weeks): 8,   Downloads (12 Months): 131,   Downloads (Overall): 154

Full text available: PDFPDF
Most research into similarity search in metric spaces relies on the triangle inequality property. This property allows the space to be arranged according to relative distances to avoid searching some subspaces. We show that many common metric spaces, notably including those using Euclidean and Jensen-Shannon distances, also have a stronger ...
Keywords: Hilbert embedding, metric space, four-point property, metric indexing, Similarity search

October 2015 SISAP 2015: Proceedings of the 8th International Conference on Similarity Search and Applications - Volume 9371
Publisher: Springer-Verlag New York, Inc.
Citation Count: 0

This demonstration paper describes the mobile application developed by the EAGLE project to increase the use and visibility of its epigraphic material. The EAGLE project European network of Ancient Greek and Latin Epigraphy is gathering a comprehensive collection of inscriptions about 80﾿% of the surviving material and making it accessible ...
Keywords: Epigraphy, Latin and Greek inscriptions, Image recognition, Similarity search, Mobile application

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