Speeding up optimum-path forest training by path-cost propagation

Detalhes bibliográficos
Autor(a) principal: Adriana S. Iwashita
Data de Publicação: 2012
Outros Autores: João P. Papa, Alexandre X. Falcão, Roberto A. Lotufo, Victor M. de Araújo, Victor H. Costa de Albuquerque, João Manuel R. S. Tavares
Tipo de documento: Livro
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/65852
Resumo: 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.
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spelling Speeding up optimum-path forest training by path-cost propagationCiências Tecnológicas, Ciências da engenharia e tecnologiasTechnological sciences, Engineering and technologyIn 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.20122012-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookapplication/pdfhttps://hdl.handle.net/10216/65852engAdriana S. IwashitaJoão P. PapaAlexandre X. FalcãoRoberto A. LotufoVictor M. de AraújoVictor H. Costa de AlbuquerqueJoão Manuel R. S. Tavaresinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-09-27T08:53:47Zoai:repositorio-aberto.up.pt:10216/65852Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-09-27T08:53:47Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Speeding up optimum-path forest training by path-cost propagation
title Speeding up optimum-path forest training by path-cost propagation
spellingShingle Speeding up optimum-path forest training by path-cost propagation
Adriana S. Iwashita
Ciências Tecnológicas, Ciências da engenharia e tecnologias
Technological sciences, Engineering and technology
title_short Speeding up optimum-path forest training by path-cost propagation
title_full Speeding up optimum-path forest training by path-cost propagation
title_fullStr Speeding up optimum-path forest training by path-cost propagation
title_full_unstemmed Speeding up optimum-path forest training by path-cost propagation
title_sort Speeding up optimum-path forest training by path-cost propagation
author Adriana S. Iwashita
author_facet 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
author_role author
author2 João P. Papa
Alexandre X. Falcão
Roberto A. Lotufo
Victor M. de Araújo
Victor H. Costa de Albuquerque
João Manuel R. S. Tavares
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv 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
dc.subject.por.fl_str_mv Ciências Tecnológicas, Ciências da engenharia e tecnologias
Technological sciences, Engineering and technology
topic Ciências Tecnológicas, Ciências da engenharia e tecnologias
Technological sciences, Engineering and technology
description 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.
publishDate 2012
dc.date.none.fl_str_mv 2012
2012-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/book
format book
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/10216/65852
url https://hdl.handle.net/10216/65852
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv mluisa.alvim@gmail.com
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