Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6854383 | Engineering Applications of Artificial Intelligence | 2016 | 11 Pages |
Abstract
In recent years, frequent approximate subgraph (FAS) mining has been used for image classification. However, using FASs leads to a high dimensional representation. In order to solve this problem, in this paper, we propose using emerging patterns for reducing the dimensionality of the image representation in this approach. Using our proposal, a dimensionality reduction over 50% of the original patterns is achieved, additionally, better classification results are obtained.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Niusvel Acosta-Mendoza, Andrés Gago-Alonso, Jesús Ariel Carrasco-Ochoa, José Francisco MartÃnez-Trinidad, José Eladio Medina-Pagola,