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Mohammed Madiafi, Jamal Ezzahar, Kamal Baraka and Abdelaziz Bouroumi
In this paper, we propose a new neural architecture for object classification, made up from a set of competitive layers whose number and size are dynamically learned from training data using a two-step process that combines unsupervised and supervised le...
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