no code implementations • 30 May 2023 • Efthyvoulos Drousiotis, Alexander M. Phillips, Paul G. Spirakis, Simon Maskell
Bayesian Decision Trees (DTs) are generally considered a more advanced and accurate model than a regular Decision Tree (DT) because they can handle complex and uncertain data.
no code implementations • 22 Jan 2023 • Efthyvoulos Drousiotis, Paul G. Spirakis, Simon Maskell
None-the-less, we propose two methods for exploiting parallelism in the MCMC: in the first, we replace the MCMC with another numerical Bayesian approach, the Sequential Monte Carlo (SMC) sampler, which has the appealing property that it is an inherently parallel algorithm; in the second, we consider data partitioning.
no code implementations • 7 Dec 2022 • Kyurae Kim, Simon Maskell, Jason F. Ralph
Imaging methods based on array signal processing often require a fixed propagation speed of the medium, or speed of sound (SoS) for methods based on acoustic signals.
no code implementations • 25 Sep 2022 • Darren Cook, Miri Zilka, Heidi DeSandre, Susan Giles, Adrian Weller, Simon Maskell
Social media's growing popularity raises concerns around children's online safety.
no code implementations • 27 May 2022 • Marco Fontana, Ángel F. García-Fernández, Simon Maskell
This paper proposes a clustering and merging approach for the Poisson multi-Bernoulli mixture (PMBM) filter to lower its computational complexity and make it suitable for multiple target tracking with a high number of targets.
no code implementations • 2 Nov 2021 • Conor Rosato, Vincent Beraud, Paul Horridge, Thomas B. Schön, Simon Maskell
It has been widely documented that the sampling and resampling steps in particle filters cannot be differentiated.
no code implementations • 22 Oct 2021 • Ángel F. García-Fernández, Marcel Hernandez, Simon Maskell
On the contrary, as a consequence of the spooky effect at a distance in optimal OSPA/UOSPA estimation, the optimal actions for different sensors using OSPA and UOSPA are entangled.
no code implementations • 6 Feb 2020 • Youcheng Sun, Yifan Zhou, Simon Maskell, James Sharp, Xiaowei Huang
However, it is unclear if and how the adversarial examples over learning components can affect the overall system-level reliability.
2 code implementations • 5 Nov 2019 • Yifan Zhou, Simon Maskell
This paper proposes an approach to detect moving objects in Wide Area Motion Imagery (WAMI), in which the objects are both small and well separated.
no code implementations • 26 Aug 2018 • Amir Soleimani, Nasser M. Nasrabadi, Elias Griffith, Jason Ralph, Simon Maskell
This paper investigates the problem of aerial vehicle recognition using a text-guided deep convolutional neural network classifier.