4 papers
Random Inverse Problems with Structural and Probabilistic Ambiguities
Wolfgang Hoegele
In this paper, we investigate a computational class of random inverse problems that incorporates model uncertainties through random variable parameters nonlinearly in the forward m…
Combinatorial Potential of Random Equations with Mixture Models: Modeling and Simulation
Wolfgang Hoegele
The goal of this paper is to demonstrate the general modeling and practical simulation of random equations with mixture model parameter random variables. Random equations, understo…
Errors-In-Variables Model Fitting for Partially Unpaired Data Utilizing Mixture Models
Wolfgang Hoegele, Sarah Brockhaus
We introduce a general framework for regression in the errors-in-variables regime, allowing for full flexibility about the dimensionality of the data, observational error probabili…
A Stochastic-Geometrical Framework for Object Pose Estimation based on Mixture Models Avoiding the Correspondence Problem
Wolfgang Hoegele
Background: Pose estimation of rigid objects is a practical challenge in optical metrology and computer vision. This paper presents a novel stochastic-geometrical modeling framewor…