| Texto completo | |
| Autor(es): |
Rodrigues, D.
;
Pereira, L. A. M.
;
Almeida, T. N. S.
;
Papa, J. P.
;
Souza, A. N.
;
Ramos, C. C. O.
;
Yang, Xin-She
;
IEEE
Número total de Autores: 8
|
| Tipo de documento: | Artigo Científico |
| Fonte: | 2013 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS); v. N/A, p. 4-pg., 2013-01-01. |
| Resumo | |
Feature selection has been actively pursued in the last years, since to find the most discriminative set of features can enhance the recognition rates and also to make feature extraction faster. In this paper, the propose a new feature selection called Binary Cuckoo Search, which is based on the behavior of cuckoo birds. The experiments were carried out in the context of theft detection in power distribution systems in two datasets obtained from a Brazilian electrical power company, and have demonstrated the robustness of the proposed technique against with several others nature-inspired optimization techniques. (AU) | |
| Processo FAPESP: | 09/16206-1 - Novas tendências em reconhecimento de padrões baseado em floresta de caminhos ótimos |
| Beneficiário: | João Paulo Papa |
| Modalidade de apoio: | Auxílio à Pesquisa - Jovens Pesquisadores |
| Processo FAPESP: | 11/14094-1 - Explorando Abordagens de Múltiplos Rótulos por Floresta de Caminhos Ótimos |
| Beneficiário: | Luis Augusto Martins Pereira |
| Modalidade de apoio: | Bolsas no Brasil - Mestrado |