Sivakumar Chidambaram, Alexandre Riviello, J. M. Pierre Langlois and Jean Pierre David
Paper (2018)
An external link is available for this itemDepartment: |
Department of Electrical Engineering Department of Computer Engineering and Software Engineering |
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Research Center: | GR2M - Microelectronics and Microsystems Research Group |
PolyPublie URL: | https://publications.polymtl.ca/42397/ |
Conference Title: | Conference on Design and Architectures for Signal and Image Processing (DASIP 2018) |
Conference Location: | Porto, Portugal |
Conference Date(s): | 2018-10-10 - 2018-10-12 |
Publisher: | IEEE |
DOI: | 10.1109/dasip.2018.8596860 |
Official URL: | https://doi.org/10.1109/dasip.2018.8596860 |
Date Deposited: | 18 Apr 2023 15:03 |
Last Modified: | 05 Apr 2024 11:39 |
Cite in APA 7: | Chidambaram, S., Riviello, A., Langlois, J. M. P., & David, J. P. (2018, October). Accelerating the Inference Phase in Ternary Convolutional Neural Networks Using Configurable Processors [Paper]. Conference on Design and Architectures for Signal and Image Processing (DASIP 2018), Porto, Portugal. https://doi.org/10.1109/dasip.2018.8596860 |
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