A comparison of approaches to multivariate extreme value theory for novelty detection

IEEE Workshop on Statistical Signal Processing Proceedings

Volumn , Issue , 2009, Pages 13-16

  Clifton, David A ^a,b   Hugueny, Samuel ^a,c   Tarassenko, Lionel ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b NIHR OXFORD BIOMEDICAL RESEARCH CENTRE   (United Kingdom)

^c EPSRC LSI Doctoral Training Centre   (United Kingdom)

Author keywords

Biomedical engineering; Extreme value statistics; Novelty detection; Structural health monitoring

Indexed keywords

ANALYTICAL APPROACH; ANALYTICAL APPROXIMATION; CLOSED FORM; CONVENTIONAL METHODS; DATA DENSITY; DECISION BOUNDARY; DENSITY ESTIMATION; EXTREME VALUE STATISTICS; JET ENGINE HEALTH MONITORING; LARGE DATASETS; MULTI-CLASS; MULTI-MODAL; MULTIVARIATE EXTREMES; NOVELTY DETECTION; NUMERICAL APPROACHES; ONE-CLASS CLASSIFICATION; OUTLIER DETECTION; TEST DATA; THRESHOLDING;

BIOMEDICAL ENGINEERING; HEALTH; HEURISTIC METHODS; JET ENGINES; NORMAL DISTRIBUTION; NUMERICAL METHODS; PATIENT MONITORING; SIGNAL DETECTION; SIGNAL PROCESSING; STRUCTURES (BUILT OBJECTS);

STRUCTURAL HEALTH MONITORING;

EID: 72349086213     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SSP.2009.5278652     Document Type: Conference Paper

References (9)

1. L. Tarassenko, A. Hann, and D. Young, "Integrated monitoring and analysis for early warning of patient deterioration," British Journal of Anaesthesia, vol. 98, no. 1, pp. 149-152, 2007.
2. A. Hann, Multi-parameter monitoring for early warning of patient deterioration, Ph.D. thesis, University of Oxford, 2008.
3. P. Embrechts, C. Kluppelberg, and T. Mikosch, Modelling Extremal Events for Insurance and Finance, Springer-Verlag, Berlin, 4 edition, 2008.
4. E. Castillo, A. S. Hadi, N. Balakrishnan, and J. M. Sarabia, Extreme Value and Related Models with Applications in Engineering and Science, John Wiley and Sons, New York, 2005.
5. S. J. Roberts, "Novelty Detection Using Extreme Value Statistics," IEE Proceedings on Vision, Image and Signal Processing, vol. 146, no. 3, pp. 124-129, 1999.
6. S. J. Roberts, "Extreme Value Statistics for Novelty Detection in Biomedical Signal Processing," IEE Proceedings on Science, Technology and Measurement, vol. 47, no. 6, pp. 363-367, 2000.
7. D.A. Clifton, Novelty Detection with Extreme Value Theory in Jet Engine Vibration Data, Ph.D. thesis, University of Oxford, 2009.
8. C. M. Bishop, Pattern Recognition and Machine Learning, Springer-Verlag, Berlin, 2006.
9. M. Hravnak, L. Edwards, A. Clontz, C. Valenta, M.A. DeVita, and M.R. Pinsky, "Defining the incidence of cardiorespiratory instability in patients in step-down units using an electronic integrated monitoring system," Archives of Internal Medicine, vol. 168, no. 12, pp. 1300-1308, 2008.