Modern statistical techniques allow to compare or summarize temporal data with phase variation, often by aligning the trajectories. We propose techniques to analyse a single observation of a periodic function with phase variations, a setting motivated by a car positioning problem. We show that tools from topological data analysis can capture...
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December 6, 2023 (v1)PublicationUploaded on: July 13, 2024
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June 26, 2023 (v1)Publication
We present a method to construct signatures of periodic-like data. Based on topological considerations, our construction encodes information about the order and values of local extrema. Its main strength is robustness to reparametrisation of the observed signal, so that it depends only on the form of the periodic function. The signature...
Uploaded on: July 1, 2023 -
June 3, 2022 (v1)Publication
We consider a signal composed of several periods of a periodic function, of which we observe a noisy reparametrisation. The phase estimation problem consists of finding that reparametrisation, and, in particular, the number of observed periods. Existing methods are well-suited to the setting where the periodic function is known, or at least,...
Uploaded on: December 3, 2022 -
December 30, 2021 (v1)Publication
This paper presents the computational challenge on differential geometry and topology that happened within the ICLR 2021 workshop "Geometric and Topological Representation Learning". The competition asked participants to provide creative contributions to the fields of computational geometry and topology through the open-source repositories...
Uploaded on: December 3, 2022