A Kullback-Leiber Divergence Filter for Anomaly Detection in Non-Destructive Pipeline Inspection
Anomaly detection generally refers to algorithmic procedures aimed at identifying relatively rare events in data sets that differ substantially from the majority of the data set to which they belong. In the context of data series generated by sensors mounted on mobile devices for non-destructive ins...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | en |
| Published: |
Université d'Ottawa / University of Ottawa
2020
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10393/40987 http://dx.doi.org/10.20381/ruor-25211 |