83 citations · 136 across the 33 of their papers we have counts for
5 papers · 1 filter
Bayesian inversion with α-stable priors
Jarkko Suuronen, Tomás Soto, Neil K. Chada +1
We propose to use Lévy α-stable distributions for constructing priors for Bayesian inverse problems. The construction is based on Markov fields with stable-distributed increments.…
Mixtures of Gaussian Process Experts with SMC
Teemu Härkönen, Sara Wade, Kody Law +1
Gaussian processes are a key component of many flexible statistical and machine learning models. However, they exhibit cubic computational complexity and high memory constraints du…
Geometry parameter estimation for sparse X-ray log imaging
Angelina Senchukova, Jarkko Suuronen, Jere Heikkinen +1
We consider geometry parameter estimation in industrial sawmill fan-beam X-ray tomography. In such industrial settings, scanners do not always allow identification of the location…
Reconstruction and segmentation from sparse sequential X-ray measurements of wood logs
Sebastian Springer, Aldo Glielmo, Angelina Senchukova +5
In industrial applications, it is common to scan objects on a moving conveyor belt. If slice-wise 2D computed tomography (CT) measurements of the moving object are obtained we call…
A Log-Gaussian Cox Process with Sequential Monte Carlo for Line Narrowing in Spectroscopy
Teemu Härkönen, Emma Hannula, Matthew T. Moores +2
We propose a statistical model for narrowing line shapes in spectroscopy that are well approximated as linear combinations of Lorentzian or Voigt functions. We introduce a log-Gaus…