Akhondi-Asl, H;
Nelson, JDB;
(2016)
Multi-scale Sparse Coding With Anomaly Detection And Classification.
In: Artes-Rodriguez, A and Miguez, J, (eds.)
2016 IEEE Statistical Signal Processing Workshop (SSP) [Proceedings].
Institute of Electrical and Electronics Engineers (IEEE)
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Abstract
We here place a recent joint anomaly detection and classification approach based on sparse error coding methodology into multi-scale wavelet basis framework. The model is extended to incorporate an overcomplete wavelet basis into the dictionary matrix whereupon anomalies at specified multiple levels of scale are afforded equal importance. This enables, for example, subtle transient anomalies at finer scales to be detected which would otherwise be drowned out by coarser details and missed by the standard sparse coding techniques. Anomaly detection in power networks provides a motivating application and tests on a real-world data set corroborates the efficacy of the proposed model.
Type: | Proceedings paper |
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Title: | Multi-scale Sparse Coding With Anomaly Detection And Classification |
Event: | 2016 IEEE Statistical Signal Processing Workshop (SSP), 26-29 June 2016, Palma de Mallorca, Spain |
Location: | Palma, SPAIN |
Dates: | 26 June 2016 - 29 June 2016 |
ISBN-13: | 9781467378031 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1109/SSP.2016.7551727 |
Publisher version: | https://doi.org/10.1109/SSP.2016.7551727 |
Language: | English |
Additional information: | Copyright © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Keywords: | Wavelet transforms, Dictionaries, Encoding, Fault detection, Minimization, Data models |
UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences |
URI: | https://discovery.ucl.ac.uk/id/eprint/1539256 |
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