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On the Post Hoc Explainability of Optimized Self-Organizing Reservoir Network for Action Recognition
This work proposes a novel unsupervised self-organizing network, called the Self-Organizing Convolutional Echo State Network (SO-ConvESN), for learning node centroids and interconnectivity maps compatible with the deterministic initialization of Echo State Network (ESN) input and reservoir weights,...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914683/ https://www.ncbi.nlm.nih.gov/pubmed/35271052 http://dx.doi.org/10.3390/s22051905 |