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"A Partially Binarized Hybrid Neural Network System for Low-Power and ..."

Antonio De Vita et al. (2020)

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DOI: 10.1109/TCSI.2020.3011984

access: closed

type: Journal Article

metadata version: 2020-11-09

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Antonio De Vita, Alessandro Russo, Danilo Pau, Luigi Di Benedetto, Alfredo Rubino, Gian Domenico Licciardo:
A Partially Binarized Hybrid Neural Network System for Low-Power and Resource Constrained Human Activity Recognition. IEEE Trans. Circuits Syst. 67-I(11): 3893-3904 (2020)

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