no code implementations • 1 Nov 2024 • Alicia Russell-Gilbert, Alexander Sommers, Andrew Thompson, Logan Cummins, Sudip Mittal, Shahram Rahimi, Maria Seale, Joseph Jaboure, Thomas Arnold, Joshua Church
The research aims to improve the transferability of anomaly detection models by leveraging Large Language Models (LLMs) and seeks to validate the enhanced effectiveness of the proposed approach in data-sparse industrial applications.
no code implementations • 14 Jun 2024 • Tameem Adel, Sam Bilson, Mark Levene, Andrew Thompson
We then discuss three research areas within TAI that we are working on at NPL, and examine the certification of AI systems in terms of adherence to the characteristics of TAI.
no code implementations • 17 Apr 2024 • Andrew Thompson
Machine learning (ML) models are increasingly being used in metrology applications.
no code implementations • 9 Jul 2019 • Melanie Beckerleg, Andrew Thompson
We propose an algorithm for low rank matrix completion for matrices with binary entries which obtains explicit binary factors.
1 code implementation • 13 Dec 2016 • Yin Xian, Yunchen Pu, Zhe Gan, Liang Lu, Andrew Thompson
Its output feature is related to Cohen's class of time-frequency distributions.
Sound
1 code implementation • 28 Apr 2016 • Yin Xian, Andrew Thompson, Xiaobai Sun, Douglas Nowacek, Loren Nolte
We introduce the use of DCTNet, an efficient approximation and alternative to PCANet, for acoustic signal classification.
no code implementations • 25 May 2015 • Yang Cao, Andrew Thompson, Meng Wang, Yao Xie
We study sequential change-point detection procedures based on linear sketches of high-dimensional signal vectors using generalized likelihood ratio (GLR) statistics.
no code implementations • 18 Dec 2014 • Qiang Qiu, Andrew Thompson, Robert Calderbank, Guillermo Sapiro
The Weyl transform is introduced as a rich framework for data representation.