Publications (14)
Hoop Diagrams: A Set Visualization Method
Peter Rodgers, Peter Chapman, Andrew Blake +3
We introduce Hoop Diagrams, a new visualization technique for set data. Hoop Diagrams are a circular visualization with hoops representing sets and sectors representing set interse…
Bayesian Inference for NMR Spectroscopy with Applications to Chemical Quantification
Andrew Gordon Wilson, Yuting Wu, Daniel J. Holland +4
Nuclear magnetic resonance (NMR) spectroscopy exploits the magnetic properties of atomic nuclei to discover the structure, reaction state and chemical environment of molecules. We…
Embedding -based Crop Type Classification in the Groundnut Basin of Senegal
Madeline C. Lisaius, Srinivasan Keshav, Andrew Blake +1
Crop type maps from satellite remote sensing are important tools for food security, local livelihood support and climate change mitigation in smallholder regions of the world, but…
A Bayesian technique for improving the sensitivity of the atmospheric neutrino L/E analysis
Andrew Blake, John Chapman, Mark Thomson
This paper outlines a method for improving the precision of atmospheric neutrino oscillation measurements. One experimental signature for these oscillations is an observed deficit…
TESSERA: Temporal Embeddings of Surface Spectra for Earth Representation and Analysis
Zhengpeng Feng, Clement Atzberger, Sadiq Jaffer +11
Satellite Earth-observation (EO) time series in the optical and microwave ranges of the electromagnetic spectrum are often irregular due to orbital patterns and cloud obstruction.…
FPR -- Fast Path Risk Algorithm to Evaluate Collision Probability
Andrew Blake, Alejandro Bordallo, Kamen Brestnichki +4
As mobile robots and autonomous vehicles become increasingly prevalent in human-centred environments, there is a need to control the risk of collision. Perceptual modules, for exam…