Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/353451
Type: Artigo
Title: Multi-label semi-supervised classification through optimum-path forest
Author: Amorim, Willian P.
Falcão, Alexandre X.
Papa, João P.
Abstract: Multi-label classification consists of assigning one or multiple classes to each sample in a given dataset. However, the project of a multi-label classifier is usually limited to a small number of supervised samples as compared to the number of all possib
Subject: Aprendizagem supervisionada (Aprendizado do computador)
Floresta de caminhos ótimos
Reconhecimento de padrões
Processamento de imagens
Supervised learning (Machine learning)
Optimum-path forest
Pattern recognition
Image processing
Country: Estados Unidos
Editor: Elsevier
Rights: Fechado
Identifier DOI: 10.1016/j.ins.2018.06.067
Address: https://www.sciencedirect.com/science/article/pii/S0020025518305152
Date Issue: 2018
Appears in Collections:IC - Artigos e Outros Documentos

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