Deep Features for Training Support Vector Machines

Features play a crucial role in computer vision. Initially designed to detect salient elements by means of handcrafted algorithms, features now are often learned using different layers in convolutional neural networks (CNNs). This paper develops a generic computer vision system based on features ext...

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Detalles Bibliográficos
Autores principales: Nanni, Loris, Ghidoni, Stefano, Brahnam, Sheryl
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8470768/
https://www.ncbi.nlm.nih.gov/pubmed/34564103
http://dx.doi.org/10.3390/jimaging7090177

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8470768/
https://www.ncbi.nlm.nih.gov/pubmed/34564103
http://dx.doi.org/10.3390/jimaging7090177

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