Recent Advances on optimum-Path Forest for Data Classification: Supervised, Semi-Supervised, and Unsupervised Learning

Detalhes bibliográficos
Autor(a) principal: João Paulo Papa
Data de Publicação: 2016
Outros Autores: Willian Paraguassu Amorim, Alexandre Xavier Falcão, 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/10216/81654
Resumo: Although one can find several pattern recognition techniques out there, there is still room for improvements and new approaches. In this book chapter, we revisited the Optimum-Path Forest (OPF) classifier, which has been evaluated over the last years in a number of applications that consider supervised, semi-supervised and unsupervised learning problems. We also presented a brief compilation of a number of previous works that employed OPF in different research fields, that range from remote sensing image classification to medical data analysis.
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spelling Recent Advances on optimum-Path Forest for Data Classification: Supervised, Semi-Supervised, and Unsupervised LearningCiências Tecnológicas, Ciências da engenharia e tecnologiasTechnological sciences, Engineering and technologyAlthough one can find several pattern recognition techniques out there, there is still room for improvements and new approaches. In this book chapter, we revisited the Optimum-Path Forest (OPF) classifier, which has been evaluated over the last years in a number of applications that consider supervised, semi-supervised and unsupervised learning problems. We also presented a brief compilation of a number of previous works that employed OPF in different research fields, that range from remote sensing image classification to medical data analysis.20162016-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookapplication/pdfhttps://hdl.handle.net/10216/81654eng10.1142/9789814656535_0006João Paulo PapaWillian Paraguassu AmorimAlexandre Xavier FalcãoJoão 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:RCAAP2023-11-29T15:31:00Zoai:repositorio-aberto.up.pt:10216/81654Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:25:27.157629Repositório 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 Recent Advances on optimum-Path Forest for Data Classification: Supervised, Semi-Supervised, and Unsupervised Learning
title Recent Advances on optimum-Path Forest for Data Classification: Supervised, Semi-Supervised, and Unsupervised Learning
spellingShingle Recent Advances on optimum-Path Forest for Data Classification: Supervised, Semi-Supervised, and Unsupervised Learning
João Paulo Papa
Ciências Tecnológicas, Ciências da engenharia e tecnologias
Technological sciences, Engineering and technology
title_short Recent Advances on optimum-Path Forest for Data Classification: Supervised, Semi-Supervised, and Unsupervised Learning
title_full Recent Advances on optimum-Path Forest for Data Classification: Supervised, Semi-Supervised, and Unsupervised Learning
title_fullStr Recent Advances on optimum-Path Forest for Data Classification: Supervised, Semi-Supervised, and Unsupervised Learning
title_full_unstemmed Recent Advances on optimum-Path Forest for Data Classification: Supervised, Semi-Supervised, and Unsupervised Learning
title_sort Recent Advances on optimum-Path Forest for Data Classification: Supervised, Semi-Supervised, and Unsupervised Learning
author João Paulo Papa
author_facet João Paulo Papa
Willian Paraguassu Amorim
Alexandre Xavier Falcão
João Manuel R. S. Tavares
author_role author
author2 Willian Paraguassu Amorim
Alexandre Xavier Falcão
João Manuel R. S. Tavares
author2_role author
author
author
dc.contributor.author.fl_str_mv João Paulo Papa
Willian Paraguassu Amorim
Alexandre Xavier Falcão
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 Although one can find several pattern recognition techniques out there, there is still room for improvements and new approaches. In this book chapter, we revisited the Optimum-Path Forest (OPF) classifier, which has been evaluated over the last years in a number of applications that consider supervised, semi-supervised and unsupervised learning problems. We also presented a brief compilation of a number of previous works that employed OPF in different research fields, that range from remote sensing image classification to medical data analysis.
publishDate 2016
dc.date.none.fl_str_mv 2016
2016-01-01T00:00:00Z
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/10216/81654
url https://hdl.handle.net/10216/81654
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1142/9789814656535_0006
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
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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
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