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Using Non-Additive Entropy to Enhance Convolutional Neural Features for Texture Recognition
Here we present a study on the use of non-additive entropy to improve the performance of convolutional neural networks for texture description. More precisely, we introduce the use of a local transform that associates each pixel with a measure of local entropy and use such alternative representation...
| 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/PMC8534779/ https://www.ncbi.nlm.nih.gov/pubmed/34681983 http://dx.doi.org/10.3390/e23101259 |