Journal article
Signature features with the visibility transformation
- 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.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
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-
(Preview, Accepted manuscript, 729.7KB, Terms of use)
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- Publisher copy:
- 10.1109/icpr48806.2021.9412642
Authors
- Publisher:
- IEEE
- Volume:
- 2021
- Pages:
- 4665-4672
- Publication date:
- 2021-05-05
- Event title:
- 25th International Conference on Pattern Recognition (ICPR 2020)
- Event start date:
- 2021-01-10
- Event end date:
- 2021-01-15
- DOI:
- ISSN:
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1051-4651
- EISBN:
- 978-1-7281-8808-9
- ISBN:
- 978-1-7281-8809-6
- Language:
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English
- Keywords:
- Pubs id:
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1119382
- Local pid:
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pubs:1119382
- Deposit date:
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2021-05-14
Terms of use
- Copyright holder:
- IEEE
- Copyright date:
- 2021
- Rights statement:
- © Copyright 2021 IEEE - All rights reserved.
- Notes:
-
This is the accepted manuscript version of the article. The final version is available from IEEE at https://doi.org/10.1109/icpr48806.2021.9412642
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