DOI
10.1109/icpr48806.2021.9412642
Volume
2021
Last updated
2024-03-28T14:08:21.327+00:00
Page
4665-4672
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.
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.
Symplectic ID
1119382
Submitted to ORA
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Publication type
Journal Article
ISBN-13
978-1-7281-8809-6
Publication date
05 May 2021