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Deep Liquid State Machines With Neural Plasticity for Video Activity Recognition
Real-world applications such as first-person video activity recognition require intelligent edge devices. However, size, weight, and power constraints of the embedded platforms cannot support resource intensive state-of-the-art algorithms. Machine learning lite algorithms, such as reservoir computin...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Frontiers Media S.A.
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6621912/ https://www.ncbi.nlm.nih.gov/pubmed/31333404 http://dx.doi.org/10.3389/fnins.2019.00686 |