Cart (Loading....) | Create Account
Close category search window
 

Review of novelty detection methods

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Miljković, D. ; Hrvatska Elektroprivreda, Zagreb, Croatia

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.

Published in:

MIPRO, 2010 Proceedings of the 33rd International Convention

Date of Conference:

24-28 May 2010

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.