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Semi-supervised image meta-filtering in cultural heritage applications

Matsatsinis Nikolaos, Doulamis, Anastasios, Eftychios Protopapadakis

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URIhttp://purl.tuc.gr/dl/dias/63B15A5D-A1DE-4701-980C-B10ABCDC2200-
Identifierhttps://doi.org/10.1007/978-3-319-13695-0_10-
Languageen-
Extent9 pagesen
TitleSemi-supervised image meta-filtering in cultural heritage applications en
CreatorMatsatsinis Nikolaosen
CreatorΜατσατσινης Νικολαοςel
CreatorDoulamis, Anastasiosen
CreatorEftychios Protopapadakisen
PublisherSpringer Verlagen
Content SummaryAn image filtering scheme for images of cultural interest is presented. The model utilize a semi supervised approach for the creation of an appropriate distance learning metric, which is used for the filtering. User’s feedback is involved only for a minor set of data, defined using optics algorithm and sparse modeling representative selection. Such approach facilitates the refinement of retrieval results always under the scope of the end user needs.en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-11-04-
Date of Publication2014-
SubjectClustering, Documenten
Subjectdocument clusteringen
Subjectclustering documenten
SubjectLearning, Supervised (Machine learning)en
Subjectsupervised learning machine learningen
Subjectlearning supervised machine learningen
Bibliographic CitationE. Protopapadakis, A. Doulamis, N. Matsatsinis ,"Semi-supervised image meta-filtering in cultural heritage applications,"in 2014 5th Intern. Conf. (EuroMed) ,pp.102-110 .doi: 10.1007/978-3-319-13695-0_10en

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