Experiments of Image Classification Using Dissimilarity Spaces Built with Siamese Networks

Traditionally, classifiers are trained to predict patterns within a feature space. The image classification system presented here trains classifiers to predict patterns within a vector space by combining the dissimilarity spaces generated by a large set of Siamese Neural Networks (SNNs). A set of ce...

Descripción completa

Detalles Bibliográficos
Autores principales: Nanni, Loris, Minchio, Giovanni, Brahnam, Sheryl, Maguolo, Gianluca, Lumini, Alessandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7956368/
https://www.ncbi.nlm.nih.gov/pubmed/33668172
http://dx.doi.org/10.3390/s21051573

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7956368/
https://www.ncbi.nlm.nih.gov/pubmed/33668172
http://dx.doi.org/10.3390/s21051573

Ejemplares similares