UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Multi-scale Sparse Coding With Anomaly Detection And Classification

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) Green open access

[thumbnail of Akhondi-Asl_Multi-scale sparse coding.pdf]
Preview
Text
Akhondi-Asl_Multi-scale sparse coding.pdf - Accepted Version

Download (453kB) | Preview

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
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
Downloads since deposit
Loading...
0Downloads
Download activity - last month
Loading...
Download activity - last 12 months
Loading...
Downloads by country - last 12 months
Loading...

Archive Staff Only

View Item View Item