Wu, Y;
Ni, H;
Lyons, TJ;
Hudson, RL;
(2020)
Signature features with the visibility transformation.
In:
Proceedings of the 25th International Conference on Pattern Recognition (ICPR) 2020.
(pp. pp. 4665-4672).
Institute of Electrical and Electronics Engineers (IEEE)
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Abstract
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.
| Type: | Proceedings paper |
|---|---|
| Title: | Signature features with the visibility transformation |
| Event: | The 25th International Conference on Pattern Recognition (ICPR) 2020 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/ICPR48806.2021.9412642 |
| Publisher version: | https://doi.org/10.1109/ICPR48806.2021.9412642 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Mathematics |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10127944 |
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