Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13)

Shape Retrieval by Partially Supervised Fuzzy Clustering

Authors
Giovanna Castellano, Anna Maria Fanelli, Maria Alessandra Torsello
Corresponding Author
Giovanna Castellano
Available Online August 2013.
DOI
https://doi.org/10.2991/eusflat.2013.28How to use a DOI?
Keywords
Shape retrieval Fuzzy clustering Partially-supervised clustering
Abstract
In this work we propose the use of partially supervised fuzzy clustering to create a two-level indexing structure useful for enabling efficient shape retrieval. Similar shapes are grouped by a fuzzy clustering algorithm that embeds a partial supervision mechanism exploiting domain knowledge expressed in terms of a set of labeled shapes. After clustering, a set of prototypes representative of shape clusters is derived and used as indexing mechanism for retrieval. A shape query is matched against prototypes, instead of the whole shape database, and then shapes belonging to clusters for which prototype similarity is higher are returned. Experimental results obtained on two different datasets are presented to show the effectiveness of the proposed approach
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Proceedings
8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
978-90786-77-78-9
ISSN
1951-6851
DOI
https://doi.org/10.2991/eusflat.2013.28How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Giovanna Castellano
AU  - Anna Maria Fanelli
AU  - Maria Alessandra Torsello
PY  - 2013/08
DA  - 2013/08
TI  - Shape Retrieval by Partially Supervised Fuzzy Clustering
BT  - 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/eusflat.2013.28
DO  - https://doi.org/10.2991/eusflat.2013.28
ID  - Castellano2013/08
ER  -