DocumentCode
3636937
Title
Review of novelty detection methods
Author
Dubravko Miljković
Author_Institution
Hrvatska elektroprivreda, Vukovarska 37, 10000 Zagreb, Croatia
fYear
2010
Firstpage
593
Lastpage
598
Abstract
Novelty detection is the identification of new or unknown data or signals that a machine learning system is not aware of during training. Novelty detection methods try to identify outliers that differ from the distribution of ordinary data. This paper is a short review of novelty detection and its methods.
Keywords
"Neurons","Taxonomy","Training data","Signal processing","Learning systems","Algorithm design and analysis","Phase detection","Data preprocessing","Feature extraction","Bellows"
Publisher
ieee
Conference_Titel
MIPRO, 2010 Proceedings of the 33rd International Convention
Print_ISBN
978-1-4244-7763-0
Type
conf
Filename
5533467
Link To Document