A High-Speed Low-Cost VLSI System Capable of On-Chip Online Learning for Dynamic Vision Sensor Data Classification

This paper proposes a high-speed low-cost VLSI system capable of on-chip online learning for classifying address-event representation (AER) streams from dynamic vision sensor (DVS) retina chips. The proposed system executes a lightweight statistic algorithm based on simple binary features extracted...

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Detalles Bibliográficos
Autores principales: He, Wei, Huang, Jinguo, Wang, Tengxiao, Lin, Yingcheng, He, Junxian, Zhou, Xichuan, Li, Ping, Wang, Ying, Wu, Nanjian, Shi, Cong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506740/
https://www.ncbi.nlm.nih.gov/pubmed/32825560
http://dx.doi.org/10.3390/s20174715

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506740/
https://www.ncbi.nlm.nih.gov/pubmed/32825560
http://dx.doi.org/10.3390/s20174715

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