Conferencia

Negri, P.; Soto, M.; Linares-Barranco, B.; Serrano-Gotarredona, T. "Scene Context Classification with Event-Driven Spiking Deep Neural Networks" (2019) 25th IEEE International Conference on Electronics Circuits and Systems, ICECS 2018:569-572
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Abstract:

Event-Driven computation is attracting growing attention among researchers for several reasons. On one hand, the availability of new bio-inspired retina-like vision sensors that provide spiking outputs, like the Dynamic Vision Sensor (DVS) make it possible to demonstrate energy efficient and high-speed complex vision tasks. On the other hand, the emergence of abundant new nanoscale devices that operate as tunable two-terminal resistive elements, which when operated through dynamic pulsing techniques emulate learning and processing in the brain, promise an explosion of highly compact energy efficient neuromorphic event-driven applications. In this paper we focus for the first time on a high-level cognitive task, namely scene context classification, performed by event-driven computations and using real sensory data from a DVS camera. © 2018 IEEE.

Registro:

Documento: Conferencia
Título:Scene Context Classification with Event-Driven Spiking Deep Neural Networks
Autor:Negri, P.; Soto, M.; Linares-Barranco, B.; Serrano-Gotarredona, T.
Filiación:Instituto en Ciencias de la Computación (UBA-CONICET), Buenos Aires, Argentina
Instituto de Microelectrónica de Sevilla (IMSE-CNM), CSIC, Universidad de Sevilla, Sevilla, Spain
Palabras clave:Energy efficiency; Context classification; Dynamic vision sensors; Energy efficient; Event driven applications; Nanoscale device; Pulsing technique; Resistive elements; Vision sensors; Deep neural networks
Año:2019
Página de inicio:569
Página de fin:572
DOI: http://dx.doi.org/10.1109/ICECS.2018.8617982
Título revista:25th IEEE International Conference on Electronics Circuits and Systems, ICECS 2018
Título revista abreviado:IEEE Int. Conf. Electron. Circuits Syst., ICECS
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_97815386_v_n_p569_Negri

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Citas:

---------- APA ----------
Negri, P., Soto, M., Linares-Barranco, B. & Serrano-Gotarredona, T. (2019) . Scene Context Classification with Event-Driven Spiking Deep Neural Networks. 25th IEEE International Conference on Electronics Circuits and Systems, ICECS 2018, 569-572.
http://dx.doi.org/10.1109/ICECS.2018.8617982
---------- CHICAGO ----------
Negri, P., Soto, M., Linares-Barranco, B., Serrano-Gotarredona, T. "Scene Context Classification with Event-Driven Spiking Deep Neural Networks" . 25th IEEE International Conference on Electronics Circuits and Systems, ICECS 2018 (2019) : 569-572.
http://dx.doi.org/10.1109/ICECS.2018.8617982
---------- MLA ----------
Negri, P., Soto, M., Linares-Barranco, B., Serrano-Gotarredona, T. "Scene Context Classification with Event-Driven Spiking Deep Neural Networks" . 25th IEEE International Conference on Electronics Circuits and Systems, ICECS 2018, 2019, pp. 569-572.
http://dx.doi.org/10.1109/ICECS.2018.8617982
---------- VANCOUVER ----------
Negri, P., Soto, M., Linares-Barranco, B., Serrano-Gotarredona, T. Scene Context Classification with Event-Driven Spiking Deep Neural Networks. IEEE Int. Conf. Electron. Circuits Syst., ICECS. 2019:569-572.
http://dx.doi.org/10.1109/ICECS.2018.8617982