Conference paper
Feature decreasing methods using fuzzy rough set based on mutual information
2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA), pp.1141-1146
IEEE
IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013 (Melbourne, Australia, 19/06/2013–21/06/2013)
2013
Abstract
Feature reduction methods are of interest in applications such as content based image and video retrieval. In large multimedia databases, it may not be practical to search through the entire database in order to retrieve the nearest neighbours of a query. Good data structures for similarity search and indexing are needed, and the existing data structures do not scale well for the high dimensional multimedia descriptors. Thus feature reduction is an important step. We investigate the use of rough set for feature reduction. In this paper, we compare three different decreasing methods. They are rough set, fuzzy rough set and fuzzy rough set based on mutual information. From the experimental results, it is shown that the fuzzy rough set based on mutual information can perform better than the other two rough set decreasing methods with increased image retrieval precision.
Details
- Title
- Feature decreasing methods using fuzzy rough set based on mutual information
- Authors/Creators
- M. Shahabi Lotfabadi (Author/Creator)M.F. Shiratuddin (Author/Creator) - Murdoch UniversityK.W. Wong (Author/Creator) - Murdoch University
- Publication Details
- 2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA), pp.1141-1146
- Conference
- IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013 (Melbourne, Australia, 19/06/2013–21/06/2013)
- Publisher
- IEEE
- Identifiers
- 991005543460007891
- Copyright
- © 2013 IEEE
- Murdoch Affiliation
- School of Engineering and Information Technology
- Language
- English
- Resource Type
- Conference paper
Metrics
213 File views/ downloads
93 Record Views