| Full text | |
| Author(s): |
Rodrigues, Douglas
;
Pereira, Luis A. M.
;
Papa, Joao P.
;
Ramos, Caio C. O.
;
Souza, Andre N.
;
Papa, Luciene P.
;
Wilson, R
;
Hancock, E
;
Bors, A
;
Smith, W
Total Authors: 10
|
| Document type: | Journal article |
| Source: | COMPUTER ANALYSIS OF IMAGES AND PATTERNS, PT I; v. 8047, p. 8-pg., 2013-01-01. |
| Abstract | |
Feature selection aims to find the most important information from a given set of features. As this task can be seen as an optimization problem, the combinatorial growth of the possible solutions may be inviable for a exhaustive search. In this paper we propose a new nature-inspired feature selection technique based on the Charged System Search (CSS), which has never been applied to this context so far. The wrapper approach combines the power of exploration of CSS together with the speed of the Optimum-Path Forest classifier to find the set of features that maximizes the accuracy in a validating set. Experiments conducted in four public datasets have demonstrated the validity of the proposed approach can outperform some well-known swarm-based techniques. (AU) | |
| FAPESP's process: | 09/16206-1 - New trends on optimum-path forest-based pattern recognition |
| Grantee: | João Paulo Papa |
| Support Opportunities: | Research Grants - Young Investigators Grants |
| FAPESP's process: | 11/14094-1 - Exploring Multi-labeling Approaches by Optimum-Path Forest |
| Grantee: | Luis Augusto Martins Pereira |
| Support Opportunities: | Scholarships in Brazil - Master |
| FAPESP's process: | 12/14158-2 - Commercial Losses Characterization in Power Distribution Systems Using Optimum-Path Forest and Evolutionary Approaches |
| Grantee: | André Nunes de Souza |
| Support Opportunities: | Regular Research Grants |