  Estimating the altimeters a cyclist has climbed from noisy GPS data is a
challenging problem. In this article a method is proposed that assumes that a
person locally takes the shortest path. This results in an algorithm that does
not need smoothing parameters. Moreover, it turns out that this assumption
allows one to find a similarity between entropy and likelihood which results to
the introduction of an entropic force.
