Institute of Mathematics and Informatics Bulgarian Academy of Sciences
Citation:
Digital Presentation and Preservation of Cultural and Scientific Heritage, Vol. 2, No 1, (2012), 71p-77p
Abstract:
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.