most citedHigh Performance Convolution Using Sparsity and Patterns for Inference in Deep Convolutional Neural Networks

5 citations · 9 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2023★ 4 cited

A New Probabilistic Distance Metric With Application In Gaussian Mixture Reduction

Ahmad Sajedi, Yuri A. Lawryshyn, Konstantinos N. Plataniotis

This paper presents a new distance metric to compare two continuous probability density functions. The main advantage of this metric is that, unlike other statistical measurements,…

cs.CV2021★ 5 cited

High Performance Convolution Using Sparsity and Patterns for Inference in Deep Convolutional Neural Networks

Hossam Amer, Ahmed H. Salamah, Ahmad Sajedi +1

Deploying deep Convolutional Neural Networks (CNNs) is impacted by their memory footprint and speed requirements, which mainly come from convolution. Widely-used convolution algori…