Two-Stage Feature Generator for Handwritten Digit Classification

In this paper, a novel feature generator framework is proposed for handwritten digit classification. The proposed framework includes a two-stage cascaded feature generator. The first stage is based on principal component analysis (PCA), which generates projected data on principal components as featu...

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Detalles Bibliográficos
Autores principales: Gunler Pirim, M. Altinay, Tora, Hakan, Oztoprak, Kasim, Butun, İsmail
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10610940/
https://www.ncbi.nlm.nih.gov/pubmed/37896570
http://dx.doi.org/10.3390/s23208477

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10610940/
https://www.ncbi.nlm.nih.gov/pubmed/37896570
http://dx.doi.org/10.3390/s23208477

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