Event-Based Feature Extraction Using Adaptive Selection Thresholds

Unsupervised feature extraction algorithms form one of the most important building blocks in machine learning systems. These algorithms are often adapted to the event-based domain to perform online learning in neuromorphic hardware. However, not designed for the purpose, such algorithms typically re...

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Detalles Bibliográficos
Autores principales: Afshar, Saeed, Ralph, Nicholas, Xu, Ying, Tapson, Jonathan, van Schaik, André, Cohen, Gregory
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7146588/
https://www.ncbi.nlm.nih.gov/pubmed/32183052
http://dx.doi.org/10.3390/s20061600

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7146588/
https://www.ncbi.nlm.nih.gov/pubmed/32183052
http://dx.doi.org/10.3390/s20061600

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