Data-fusion techniques for open-set recognition problems
ARTIGO
Inglês
Most pattern classification techniques are focused on solving closed-set problems in which a classifier is trained with samples of all classes that may appear during the testing phase. In many situations, however, samples of unknown classes, i.e., whose c
CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQ
304472/2015-8; 307560/2016-3
FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESP
2017/12646-3; 2014/12236-1; 2015/24494-8; 2016/50250-1; 2017/20945-0; 2013/50155-0; 2013/50169-1; 2014/50715-9
COORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DE NÍVEL SUPERIOR - CAPES
88881.145912/2017-01
Aberto
DOI: https://doi.org/10.1109/ACCESS.2018.2824240
Texto completo: https://ieeexplore.ieee.org/document/8332940
Data-fusion techniques for open-set recognition problems
Data-fusion techniques for open-set recognition problems
Fontes
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IEEE access (Fonte avulsa) |