Novelty detection: a review—part 2: neural network based approaches

Authors:
Markos Markou;Sameer Singh
Affiliations:
Department of Computer Science, PANN Research, University of Exeter, Exeter EX4 4PT, UK;Department of Computer Science, PANN Research, University of Exeter, Exeter EX4 4PT, UK
Venue:
Signal Processing
Year:
2003

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Abstract

Novelty detection is the identification of new or unknown data or signal that a machine learning system is not aware of during training. In this paper we focus on neural network-based approaches for novelty detection. Statistical approaches are covered in Part 1 paper.