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A High-Speed Low-Cost VLSI System Capable of On-Chip Online Learning for Dynamic Vision Sensor Data Classification.
Sensors (Basel)
August 2020
School of Microelectronics and Communication Engineering, Chongqing University, Chongqing 400044, China.
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 from AER streams and a Random Ferns classifier to classify these features. The proposed system's characteristics of multi-level pipelines and parallel processing circuits achieves a high throughput up to 1 spike event per clock cycle for AER data processing.
View Article and Find Full Text PDF1,4-Dioxane biodegradation at low temperatures in Arctic groundwater samples.
Water Res
May 2010
Department of Civil and Environmental Engineering, Rice University, Houston, TX, USA.
1,4-Dioxane biodegradation was investigated in microcosms prepared with groundwater and soil from an impacted site in Alaska. In addition to natural attenuation conditions (i.e.
View Article and Find Full Text PDFAuxiliary and DVS (director of volunteer services) issues in mergers.
Volunt Leader
October 1991
St. Margaret's Hospital, Spring Valley, IL.
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