| Author(s): |
Romero, Marcos V. T.
;
Iwashita, Adriana S.
;
Papa, Luciene P.
;
Souza, Andre N.
;
Papa, Joao P.
;
Battiato, S
;
Braz, J
Total Authors: 7
|
| Document type: | Journal article |
| Source: | PROCEEDINGS OF THE 2014 9TH INTERNATIONAL CONFERENCE ON COMPUTER VISION, THEORY AND APPLICATIONS (VISAPP 2014), VOL 2; v. N/A, p. 5-pg., 2014-01-01. |
| Abstract | |
Some pattern recognition techniques may present a high computational cost for learning samples' behaviour. The Optimum-Path Forest (OPF) classifier has been recently developed in order to overcome such drawbacks. Although it can achieve faster training steps when compared to some state-of-art techniques, OPF can be slower for testing in some situations. Therefore, we propose in this paper an implementation in graphics cards of the OPF classification, which showed to be more efficient than traditional OPF with similar accuracies. (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: | 10/12697-8 - On the Implementation of the Optimum-Path Forest Training Algorithm in GPU |
| Grantee: | Adriana Sayuri Iwashita |
| Support Opportunities: | Scholarships in Brazil - Master |
| FAPESP's process: | 11/08348-0 - Implementação do Algoritmo de Teste do Classificador Floresta de Caminhos Ótimos em GPU |
| Grantee: | Marcos Vinicius Trigo Romero |
| Support Opportunities: | Scholarships in Brazil - Scientific Initiation |