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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| Autores principales: | , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Scientific Research Support Fund of Jordan (SRSF) and Princess Sumaya University for Technology (PSUT)
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/7e26b2cef55244e5a6807707f93b2e55 |
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