Emergence of ontological relations from visual data with self-organizing maps (2006)
| Venue: | In Proceedings of the 9th Scandinavian Conference on Artificial Intelligence Scandinavian |
| Citations: | 3 - 1 self |
BibTeX
@INPROCEEDINGS{Laaksonen06emergenceof,
author = {Jorma Laaksonen and Ville Viitaniemi},
title = {Emergence of ontological relations from visual data with self-organizing maps},
booktitle = {In Proceedings of the 9th Scandinavian Conference on Artificial Intelligence Scandinavian},
year = {2006}
}
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Abstract
In this paper we examine how Self-Organizing Maps (SOMs) can be used in detecting and describing emergent ontological relations between semantic objects and object classes in a visual database. The ontological relations we have studied include co-existence, taxonomies of visual and semantic similarity and spatial relationships. The used database contains 2618 images, each of which belongs to one or more of ten predefined semantic classes. 1
