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10/04/2022
A Probabilistic Model for Aircraft in Climb using Monotonic Functional Gaussian Process Emulators
Ensuring vertical separation is a key means of maintaining safe separati...
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05/17/2021
Stochastic Downscaling to Chaotic Weather Regimes using Spatially Conditioned Gaussian Random Fields with Adaptive Covariance
Downscaling aims to link the behaviour of the atmosphere at fine scales ...
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05/03/2021
How Bayesian Should Bayesian Optimisation Be?
Bayesian optimisation (BO) uses probabilistic surrogate models - usually...
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11/05/2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Gliomas are the most common primary brain malignancies, with different d...
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05/22/2018
Part-Based Tracking by Sampling
We propose a novel part-based method for tracking an arbitrary object in...
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05/03/2018
Visual Object Tracking: The Initialisation Problem
Model initialisation is an important component of object tracking. Track...
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12/01/2010
