Open Set Audio Classification Using Autoencoders Trained on Few Data

Open-set recognition (OSR) is a challenging machine learning problem that appears when classifiers are faced with test instances from classes not seen during training. It can be summarized as the problem of correctly identifying instances from a known class (seen during training) while rejecting any...

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Detalles Bibliográficos
Autores principales: Naranjo-Alcazar, Javier, Perez-Castanos, Sergi, Zuccarello, Pedro, Antonacci, Fabio, Cobos, Maximo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374438/
https://www.ncbi.nlm.nih.gov/pubmed/32635378
http://dx.doi.org/10.3390/s20133741

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374438/
https://www.ncbi.nlm.nih.gov/pubmed/32635378
http://dx.doi.org/10.3390/s20133741

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