Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/65852| Author(s): | Adriana S. Iwashita João P. Papa Alexandre X. Falcão Roberto A. Lotufo Victor M. de Araújo Victor H. Costa de Albuquerque João Manuel R. S. Tavares |
| Title: | Speeding up optimum-path forest training by path-cost propagation |
| Issue Date: | 2012 |
| Abstract: | In this paper we present an optimization of the Optimum-Path Forest classifier training procedure, which is based on a theoretical relationship between minimum spanning forest and optimum-path forest for a specific path-cost function. Experiments on public datasets have shown that the proposed approach can obtain similar accuracy to the traditional one hut with faster data training. |
| Subject: | Ciências Tecnológicas, Ciências da engenharia e tecnologias Technological sciences, Engineering and technology |
| Scientific areas: | Ciências da engenharia e tecnologias Engineering and technology |
| URI: | https://hdl.handle.net/10216/65852 |
| Source: | 2012 21ST INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR 2012) |
| Document Type: | Artigo em Livro de Atas de Conferência Internacional |
| Rights: | openAccess |
| License: | https://creativecommons.org/licenses/by-nc/4.0/ |
| Appears in Collections: | FEUP - Artigo em Livro de Atas de Conferência Internacional |
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