4 citations · 4 across the 1 of their papers we have counts for
3 papers
cs.LG2020
Deep Learning Training with Simulated Approximate Multipliers
Issam Hammad, Kamal El-Sankary, Jason Gu
This paper presents by simulation how approximate multipliers can be utilized to enhance the training performance of convolutional neural networks (CNNs). Approximate multipliers h…
cs.LG2019
A Comparative Study on Machine Learning Algorithms for the Control of a Wall Following Robot
Issam Hammad, Kamal El-Sankary, Jason Gu
A comparison of the performance of various machine learning models to predict the direction of a wall following robot is presented in this paper. The models were trained using an o…
cs.CV2019★ 4 cited
Edge-Semantic Learning Strategy for Layout Estimation in Indoor Environment
Weidong Zhang, Wei Zhang, Jason Gu
Visual cognition of the indoor environment can benefit from the spatial layout estimation, which is to represent an indoor scene with a 2D box on a monocular image. In this paper,…