Mariana Prazeres, Xinlin Li, Adam Oberman and Vahid Partovi Nia
Paper (2022)
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| Department: | Department of Mathematics and Industrial Engineering |
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| ISBN: | 9789897585494 |
| PolyPublie URL: | https://publications.polymtl.ca/74327/ |
| Conference Title: | 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2022) |
| Conference Date(s): | 2022-02-03 - 2022-02-05 |
| Publisher: | Scitepress |
| DOI: | 10.5220/0010988500003122 |
| Official URL: | https://doi.org/10.5220/0010988500003122 |
| Date Deposited: | 12 Aug 2026 12:06 |
| Last Modified: | 12 Aug 2026 12:06 |
| Cite in APA 7: | Prazeres, M., Li, X., Oberman, A., & Partovi Nia, V. (2022, February). EuclidNets: Combining Hardware and Architecture Design for Efficient Training and Inference [Paper]. 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2022). https://doi.org/10.5220/0010988500003122 |
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