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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| 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 |