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Learning audio and image representations with bio-inspired trainable feature extractors

Since when very young, we can quickly learn new concepts, and distinguish between different kinds of object or sound. If we see a single object or hear a particular sound, we are then able to recognize such sample or even different versions of it in other scenarios. As an example, if one sees a iron...

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Detalhes bibliográficos
Autor principal: Nicola Strisciuglio
Formato: Artigo
Idioma:Inglês
Publicado em: Computer Vision Center Press 2018-03-01
coleção:ELCVIA Electronic Letters on Computer Vision and Image Analysis
Assuntos:
Acesso em linha:https://elcvia.cvc.uab.es/article/view/1128
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