Ahmed M. Abdelsalam, Ahmed Elsheikh, Jean Pierre David and J. M. Pierre Langlois
Paper (2019)
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/45126/ |
Conference Title: | 13th Conference on Design and Architectures for Signal and Image Processing (DASIP 2019) |
Conference Location: | Montréal, Qc, Canada |
Conference Date(s): | 2019-10-16 - 2019-10-18 |
Publisher: | IEEE |
DOI: | 10.1109/dasip48288.2019.9049176 |
Official URL: | https://doi.org/10.1109/dasip48288.2019.9049176 |
Date Deposited: | 18 Apr 2023 15:01 |
Last Modified: | 05 Apr 2024 11:44 |
Cite in APA 7: | Abdelsalam, A. M., Elsheikh, A., David, J. P., & Langlois, J. M. P. (2019, October). POLYCiNN: Multiclass Binary Inference Engine using Convolutional Decision Forests [Paper]. 13th Conference on Design and Architectures for Signal and Image Processing (DASIP 2019), Montréal, Qc, Canada. https://doi.org/10.1109/dasip48288.2019.9049176 |
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