1 citations · 1 across the 3 of their papers we have counts for
3 papers
Applications of Deep Learning to physics workflows
Manan Agarwal, Jay Alameda, Jeroen Audenaert +65
Modern large-scale physics experiments create datasets with sizes and streaming rates that can exceed those from industry leaders such as Google Cloud and Netflix. Fully processing…
Merged-GHCIDR: Geometrical Approach to Reduce Image Data
Devvrat Joshi, Janvi Thakkar, Siddharth Soni +3
The computational resources required to train a model have been increasing since the inception of deep networks. Training neural networks on massive datasets have become a challeng…
Geometrical Homogeneous Clustering for Image Data Reduction
Shril Mody, Janvi Thakkar, Devvrat Joshi +3
In this paper, we present novel variations of an earlier approach called homogeneous clustering algorithm for reducing dataset size. The intuition behind the approaches proposed in…