Can pre-trained convolutional neural networks be directly used as a feature extractor for video-based neonatal sleep and wake classification?

OBJECTIVE: In this paper, we propose to evaluate the use of pre-trained convolutional neural networks (CNNs) as a features extractor followed by the Principal Component Analysis (PCA) to find the best discriminant features to perform classification using support vector machine (SVM) algorithm for ne...

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Detalles Bibliográficos
Autores principales: Awais, Muhammad, Long, Xi, Yin, Bin, Chen, Chen, Akbarzadeh, Saeed, Abbasi, Saadullah Farooq, Irfan, Muhammad, Lu, Chunmei, Wang, Xinhua, Wang, Laishuan, Chen, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7641846/
https://www.ncbi.nlm.nih.gov/pubmed/33148327
http://dx.doi.org/10.1186/s13104-020-05343-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7641846/
https://www.ncbi.nlm.nih.gov/pubmed/33148327
http://dx.doi.org/10.1186/s13104-020-05343-4

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