One-class support vector machines: analysis of outlier detection for wireless sensor networks in harsh environments
- 29 January 2013
- journal article
- Published by Springer Nature in Artificial Intelligence Review
- Vol. 43 (4) , 515-563
Abstract
No abstract availableKeywords
This publication has 106 references indexed in Scilit:
- Observation on Non-Conductive Powder Samples by Scanning Electron MicroscopeApplied Mechanics and Materials, 2013
- An efficient hyperellipsoidal clustering algorithm for resource-constrained environmentsPattern Recognition, 2011
- Clustering ellipses for anomaly detectionPattern Recognition, 2010
- Statistical anomaly detection with sensor networksACM Transactions on Sensor Networks, 2010
- Elliptical anomalies in wireless sensor networksACM Transactions on Sensor Networks, 2009
- Kernel methods in machine learningThe Annals of Statistics, 2008
- A new maximal-margin spherical-structured multi-class support vector machineApplied Intelligence, 2007
- Distributed deviation detection in sensor networksACM SIGMOD Record, 2003
- A comparison of methods for multiclass support vector machinesIEEE Transactions on Neural Networks, 2002
- Support vector machines for multi-class classification1999