Novelty detection: a review—part 2:: neural network based approaches
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PDF Download full issue Search ScienceDirect Elsevier Signal Processing Volume 83, Issue
12, December 2003, Pages 2499-2521 Signal Processing Novelty detection: a review—part
2:: neural network based approaches Author links open overlay panel Markos Markou ,
Sameer Singh Show more Share Cite https://doi.org/10.1016/j.sigpro.2003.07.019 Get rights …
to main contentSkip to article Elsevier logo Journals & Books Search RegisterSign in View
PDF Download full issue Search ScienceDirect Elsevier Signal Processing Volume 83, Issue
12, December 2003, Pages 2499-2521 Signal Processing Novelty detection: a review—part
2:: neural network based approaches Author links open overlay panel Markos Markou ,
Sameer Singh Show more Share Cite https://doi.org/10.1016/j.sigpro.2003.07.019 Get rights …
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.
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