Robust feature space separation for deep convolutional neural network training

Abstract This paper introduces two deep convolutional neural network training techniques that lead to more robust feature subspace separation in comparison to traditional training. Assume that dataset has M labels. The first method creates M deep convolutional neural networks called $$\{\text {DCNN}...

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Autores principales: Ali Sekmen, Mustafa Parlaktuna, Ayad Abdul-Malek, Erdem Erdemir, Ahmet Bugra Koku
Formato: article
Lenguaje:EN
Publicado: Springer 2021
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Acceso en línea:https://doaj.org/article/0c4975ea7511433cbff1e6d106499b8e
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