Establishing Correspondences between Attribute Spaces and Complex Concept Spaces Using Meta-PGN Classifier

In this paper, we present one approach for extending the learning set of a classification algorithm with additional metadata. It is used as a base for giving appropriate names to found regularities. The analysis of correspondence between connections established in the attribute space and existing li...

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Main Authors: Krassimira Ivanova, Iliya Mitov, Peter Stanchev
Format: Article
Language:English
Published: Bulgarian Academy of Sciences, Institute of Mathematics and Informatics 2012-09-01
Series:Digital Presentation and Preservation of Cultural and Scientific Heritage
Subjects:
Online Access:https://dipp.math.bas.bg/dipp/article/view/449
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author Krassimira Ivanova
Iliya Mitov
Peter Stanchev
author_facet Krassimira Ivanova
Iliya Mitov
Peter Stanchev
author_sort Krassimira Ivanova
collection DOAJ
description In this paper, we present one approach for extending the learning set of a classification algorithm with additional metadata. It is used as a base for giving appropriate names to found regularities. The analysis of correspondence between connections established in the attribute space and existing links between concepts can be used as a test for creation of an adequate model of the observed world. Meta-PGN classifier is suggested as a possible tool for establishing these connections. Applying this approach in the field of content-based image retrieval of art paintings provides a tool for extracting specific feature combinations, which represent different sides of artists' styles, periods and movements.
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spelling doaj.art-351575ebf55f41978703d8cd45c255942022-12-22T03:54:06ZengBulgarian Academy of Sciences, Institute of Mathematics and InformaticsDigital Presentation and Preservation of Cultural and Scientific Heritage1314-40062535-03662012-09-01210.55630/dipp.2012.2.28Establishing Correspondences between Attribute Spaces and Complex Concept Spaces Using Meta-PGN ClassifierKrassimira Ivanova0Iliya Mitov1Peter Stanchev2Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, Sofia, BulgariaInstitute of Mathematics and Informatics, Bulgarian Academy of Sciences, Sofia, BulgariaInstitute of Mathematics and Informatics, Bulgarian Academy of Sciences, Sofia, Bulgaria; Kettering University, Flint, USAIn this paper, we present one approach for extending the learning set of a classification algorithm with additional metadata. It is used as a base for giving appropriate names to found regularities. The analysis of correspondence between connections established in the attribute space and existing links between concepts can be used as a test for creation of an adequate model of the observed world. Meta-PGN classifier is suggested as a possible tool for establishing these connections. Applying this approach in the field of content-based image retrieval of art paintings provides a tool for extracting specific feature combinations, which represent different sides of artists' styles, periods and movements.https://dipp.math.bas.bg/dipp/article/view/449Multimedia SemanticsMetadataData MiningPattern RecognitionClassificationCategorization
spellingShingle Krassimira Ivanova
Iliya Mitov
Peter Stanchev
Establishing Correspondences between Attribute Spaces and Complex Concept Spaces Using Meta-PGN Classifier
Digital Presentation and Preservation of Cultural and Scientific Heritage
Multimedia Semantics
Metadata
Data Mining
Pattern Recognition
Classification
Categorization
title Establishing Correspondences between Attribute Spaces and Complex Concept Spaces Using Meta-PGN Classifier
title_full Establishing Correspondences between Attribute Spaces and Complex Concept Spaces Using Meta-PGN Classifier
title_fullStr Establishing Correspondences between Attribute Spaces and Complex Concept Spaces Using Meta-PGN Classifier
title_full_unstemmed Establishing Correspondences between Attribute Spaces and Complex Concept Spaces Using Meta-PGN Classifier
title_short Establishing Correspondences between Attribute Spaces and Complex Concept Spaces Using Meta-PGN Classifier
title_sort establishing correspondences between attribute spaces and complex concept spaces using meta pgn classifier
topic Multimedia Semantics
Metadata
Data Mining
Pattern Recognition
Classification
Categorization
url https://dipp.math.bas.bg/dipp/article/view/449
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