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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...

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Detalles Bibliográficos
Publicado en:Front Neurosci
Main Authors: Soures, Nicholas, Kudithipudi, Dhireesha
Formato: Artigo
Idioma:Inglês
Publicado: Frontiers Media S.A. 2019
Assuntos:
Acceso en liña: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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