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pro vyhledávání: '"Bar Hillel, Aharon"'
We propose a novel formulation of deep networks that do not use dot-product neurons and rely on a hierarchy of voting tables instead, denoted as Convolutional Tables (CT), to enable accelerated CPU-based inference. Convolutional layers are the most t
Externí odkaz:
http://arxiv.org/abs/2304.11706
Autor:
Khoroshevsky, Faina, Zhou, Kaining, Bar-Hillel, Aharon, Hadar, Ofer, Rachmilevitch, Shimon, Ephrath, Jhonathan E., Lazarovitch, Naftali, Edan, Yael
Publikováno v:
In Computers and Electronics in Agriculture December 2024 227 Part 1
Autor:
Mann, Hanan, Bar Hillel, Aharon, Lev-Tzion, Raffi, Greenfeld, Shira, Kariv, Revital, Lederman, Natan, Matz, Eran, Dotan, Iris, Turner, Dan, Lerner, Boaz
Publikováno v:
In Artificial Intelligence In Medicine November 2023 145
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Most of industrial robotic assembly tasks today require fixed initial conditions for successful assembly. These constraints induce high production costs and low adaptability to new tasks. In this work we aim towards flexible and adaptable robotic ass
Externí odkaz:
http://arxiv.org/abs/1809.10699
Publikováno v:
In Ultrasonics February 2022 119
Publikováno v:
In Computers and Electronics in Agriculture October 2021 189
We study classifiers operating under severe classification time constraints, corresponding to 1-1000 CPU microseconds, using Convolutional Tables Ensemble (CTE), an inherently fast architecture for object category recognition. The architecture is bas
Externí odkaz:
http://arxiv.org/abs/1602.04489
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems; October 2024, Vol. 35 Issue: 10 p13658-13670, 13p
Publikováno v:
In Computers and Electronics in Agriculture September 2020 176