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20232026
most citedA Stochastic-Geometrical Framework for Object Pose Estimation based on Mixture Models Avoiding the Correspondence Problem

3 citations · 5 across the 4 of their papers we have counts for

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stat.ME2024★ 2 cited

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…