Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Priscila Holanda"'
Autor:
Bernabe Linares-Barranco, Pieter Simoens, Teresa Serrano-Gotarredona, Mina A. Khoei, Bart Dhoedt, Priscila Holanda, Orlando Miguel Pires Dos Reis Moreira, Jonathan Tapson, Sam Leroux, Amirreza Yousefzadeh, Sahar Hosseini
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS
instname
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS
Inference of Deep Neural Networks for stream signal (Video/Audio) processing in edge devices is still challenging. Unlike the most state of the art inference engines which are efficient for static signals, our brain is optimized for real-time dynamic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc9d01c8697e285bcbd44a6fa46ba8b9
Autor:
Bart Dhoedt, Sam Leroux, Amirreza Yousefzadeh, Sahar Hosseini, Teresa Serrano-Gotarredona, Thilo Werner, Priscila Holanda, Pieter Simoens, Bernabé Linares Barranco
Publikováno v:
2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
AICAS
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
AICAS
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
Artificial Neural Networks (ANNs) show great performance in several data analysis tasks including visual and auditory applications. However, direct implementation of these algorithms without considering the sparsity of data requires high processing p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14de7b653a6724673755685bc0d659cb