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dc.contributor.author
Cintas, Celia
dc.contributor.author
Lucena, Manuel
dc.contributor.author
Fuertes, José Manuel
dc.contributor.author
Delrieux, Claudio Augusto
dc.contributor.author
Navarro, Jose Pablo
dc.contributor.author
González José, Rolando
dc.contributor.author
Molinos, Manuel
dc.date.available
2020-03-11T20:09:03Z
dc.date.issued
2020-01
dc.identifier.citation
Cintas, Celia; Lucena, Manuel; Fuertes, José Manuel; Delrieux, Claudio Augusto; Navarro, Jose Pablo; et al.; Automatic feature extraction and classification of Iberian ceramics based on deep convolutional networks; Elsevier France-editions Scientifiques Medicales Elsevier; Journal Of Cultural Heritage; 41; 1-2020; 106-112
dc.identifier.issn
1296-2074
dc.identifier.uri
http://hdl.handle.net/11336/99202
dc.description.abstract
Accurate classification of pottery vessels is a key aspect in several archaeological inquiries, including documentation of changes in style and ornaments, inference of chronological and ethnic groups, trading routes analyses, and many other matters. We present an unsupervised method for automatic feature extraction and classification of wheel-made vessels. A convolutional neural network was trained with a profile image database from Iberian wheel made pottery vessels found in the upper valley of the Guadalquivir River (Spain). During the design of the model, data augmentation and regularization techniques were implemented to obtain better generalization outcomes. The resulting model is able to provide classification on profile images automatically, with an accuracy mean score of 0.9013. Such computation methods will enhance and complement research on characterization and classification of pottery assemblages based on fragments.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier France-editions Scientifiques Medicales Elsevier
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.subject
CONVOLUTIONAL NETWORKS
dc.subject
DEEP LEARNING
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POTTERY PROFILES
dc.subject
TYPOLOGIES
dc.subject.classification
Otras Ciencias de la Computación e Información
dc.subject.classification
Ciencias de la Computación e Información
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Automatic feature extraction and classification of Iberian ceramics based on deep convolutional networks
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2019-12-11T18:53:13Z
dc.journal.volume
41
dc.journal.pagination
106-112
dc.journal.pais
Francia
dc.description.fil
Fil: Cintas, Celia. IBM Research Africa; Kenia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Lucena, Manuel. Universidad de Jaén; España
dc.description.fil
Fil: Fuertes, José Manuel. Universidad de Jaén; España
dc.description.fil
Fil: Delrieux, Claudio Augusto. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Sur; Argentina
dc.description.fil
Fil: Navarro, Jose Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de la Patagonia "San Juan Bosco"; Argentina
dc.description.fil
Fil: González José, Rolando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico de Ciencias Sociales y Humanas; Argentina
dc.description.fil
Fil: Molinos, Manuel. Universidad de Jaén; España
dc.journal.title
Journal Of Cultural Heritage
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.culher.2019.06.005
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1296207418307775
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