1 citations · 1 across the 2 of their papers we have counts for
6 papers
4D Atlas: Statistical Analysis of the Spatiotemporal Variability in Longitudinal 3D Shape Data
Hamid Laga, Marcel Padilla, Ian H. Jermyn +3
We propose a novel framework to learn the spatiotemporal variability in longitudinal 3D shape data sets, which contain observations of objects that evolve and deform over time. Thi…
A Bayesian approach to deconvolution in well test analysis
Themistoklis Botsas, Jonathan A. Cumming, Ian H. Jermyn
In petroleum well test analysis, deconvolution is used to obtain information about the reservoir system. This information is contained in the response function, which can be estima…
Shape-Constrained Univariate Density Estimation
Sutanoy Dasgupta, Debdeep Pati, Ian H. Jermyn +1
While the problem of estimating a probability density function (pdf) from its observations is classical, the estimation under additional shape constraints is both important and cha…
Bayesian shape modelling of cross-sectional geological data
Thomai Tsiftsi, Ian H. Jermyn, Jochen Einbeck
Shape information is of great importance in many applications. For example, the oil-bearing capacity of sand bodies, the subterranean remnants of ancient rivers, is related to thei…
A higher-order active contour model of a `gas of circles' and its application to tree crown extraction
Peter Horvath, Ian Jermyn, Zoltan Kato +1
Many image processing problems involve identifying the region in the image domain occupied by a given entity in the scene. Automatic solution of these problems requires models that…
Invariant Bayesian estimation on manifolds
Ian H. Jermyn
A frequent and well-founded criticism of the maximum a posteriori (MAP) and minimum mean squared error (MMSE) estimates of a continuous parameter γtaking values in a differentiable…