Novelty detection with multivariate extreme value theory, part I: A numerical approach to multimodal estimation

Machine Learning for Signal Processing XIX - Proceedings of the 2009 IEEE Signal Processing Society Workshop, MLSP 2009

Volumn , Issue , 2009, Pages

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

^a UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CLOSED FORM SOLUTIONS; DATA SPACE; DECISION BOUNDARY; EXTREME VALUE THEORY; MULTI-MODAL; MULTIMODAL DISTRIBUTIONS; MULTIVARIATE EXTREMES; NOVEL METHODS; NOVELTY DETECTION; NUMERICAL APPROACHES; ONE-CLASS CLASSIFICATION; OPTIMAL SOLUTIONS; UNIMODAL;

ELECTRIC POWER TRANSMISSION; LEARNING SYSTEMS; SIGNAL PROCESSING; TECHNICAL PRESENTATIONS;

SIGNAL DETECTION;

EID: 77950961036     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MLSP.2009.5306231     Document Type: Conference Paper

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