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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...
Zapisane w:
| Wydane w: | Front Neurosci |
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| Główni autorzy: | , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Frontiers Media S.A.
2019
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6621912/ https://ncbi.nlm.nih.gov/pubmed/31333404 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2019.00686 |
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