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Decontextualized learning for interpretable hierarchical representations of visual patterns
Apart from discriminative modeling, the application of deep convolutional neural networks to basic research utilizing natural imaging data faces unique hurdles. Here, we present decontextualized hierarchical representation learning (DHRL), designed specifically to overcome these limitations. DHRL en...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7892362/ https://www.ncbi.nlm.nih.gov/pubmed/33659910 http://dx.doi.org/10.1016/j.patter.2020.100193 |