no code implementations • 1 Dec 2022 • Matthew Ciolino, Grant Rosario, David Noever
We show that soft labels can be used to train a model that is almost as accurate as a model trained on the original data.
no code implementations • 22 Mar 2022 • Matthew Ciolino
To address this, we propose a survey of information reduction techniques to deliver the information from a satellite image in a smaller package.
no code implementations • 28 Feb 2022 • Matthew Ciolino, Dominick Hambrick, David Noever
The sensor to shooter timeline is affected by two main variables: satellite positioning and asset positioning.
no code implementations • 20 Oct 2021 • Josh Kalin, David Noever, Matthew Ciolino
Machine learning and software development share processes and methodologies for reliably delivering products to customers.
no code implementations • 29 Mar 2021 • Josh Kalin, David Noever, Matthew Ciolino, Dominick Hambrick, Gerry Dozier
Image classification is a common step in image recognition for machine learning in overhead applications.
no code implementations • 3 Mar 2021 • Josh Kalin, David Noever, Matthew Ciolino
Machine learning models present a risk of adversarial attack when deployed in production.
no code implementations • 19 Feb 2021 • Matthew Ciolino, Josh Kalin, David Noever
Production machine learning systems are consistently under attack by adversarial actors.
no code implementations • 19 Feb 2021 • Matthew Ciolino, David Noever, Josh Kalin
Natural Language Processing (NLP) relies heavily on training data.
no code implementations • 7 Sep 2020 • Josh Kalin, Matthew Ciolino, David Noever, Gerry Dozier
With the process in this paper, a structured set of input probes and the output of the model become the training data for a deep classifier.
no code implementations • 7 Jul 2020 • Matthew Ciolino, David Noever, Josh Kalin
This work applies natural language modeling to generate plausible strategic moves in the ancient game of Go.
no code implementations • 29 Oct 2019 • Matthew Ciolino, David Noever, Josh Kalin
This suggests a possible improvement to automated target recognition in image classification and object detection.