Signature features with the visibility transformation
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Abstract (arXiv)
In this paper we put the visibility transformation on a clear theoretical footing and show that this transform is able to embed the effect of the absolute position of the data stream into signature features in a unified and efficient way. The generated feature set is particularly useful in pattern recognition tasks, for its simplifying role in allowing the signature feature set to accommodate nonlinear functions of absolute and relative values.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 8 Apr 2020.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 0; 2024: 0; 2025: 0; 2026: 2.
3 papers.
- 2021Modelling Paralinguistic Properties in Conversational Speech to Detect Bipolar Disorder and Borderline Personality Disordercited by 1
- 2026Generating Financial Time Series by Matching Random Convolutional Featurescited by 1
- 2026Signature Approach for Contextual Bandits with Nonlinear and Path-dependent Rewardscited by 0
- 2026Generating Financial Time Series by Matching Random Convolutional Features3 Jun 2026
- 2026Signature Approach for Contextual Bandits with Nonlinear and Path-dependent Rewards11 May 2026
- 2021Modelling Paralinguistic Properties in Conversational Speech to Detect Bipolar Disorder and Borderline Personality Disorder18 Feb 2021