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TWO-WAY METRIC LEARNING WITH MAJORITY AND MINORITY SUBSETS FOR CLASSIFICATION OF LARGE EXTREMELY IMBALANCED FACE DATASET

This paper proposes a new learning methodology involving deep features and two-way metric learning for large, extremely imbalanced face datasets where the number of minority classes and the imbalance ratio are both very high. The problem arises because the faces of some celebrities, being more popul...

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Autori principali: Ashu Kaushik, Seba Susan
Natura: Artigo
Lingua:Inglês
Pubblicazione: Scientific Research Support Fund of Jordan (SRSF) and Princess Sumaya University for Technology (PSUT) 2021-12-01
Serie:Jordanian Journal of Computers and Information Technology
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Accesso online:http://www.ejmanager.com/fulltextpdf.php?mno=98032
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