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Novelty detection

Known as: Novelty detector, Novelty detectors 
Novelty detection is the identification of new or unknown data that a machine learning system has not been trained with and was not previously aware… 
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Related topics

Related topics

11 relations
Anomaly detectionArtificial neural networkComputer visionData mining

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Machine Learning Approach to Diesel Engine Health Prognostics using Engine Controller Data
Many military assets such as surface ships and ground vehicles use diesel engines as their prime movers, and accurately… 
2016
2016
One class proximal support vector machines
2010
2010
Event monitoring via local motion abnormality detection in non-linear subspace
2010
2010
Combining evidence with a probabilistic framework for answer ranking and answer merging in question answering
2009
2009
Metric-based stochastic conceptual clustering for ontologies
2006
2006
Artificial Rhythms and Cues for Keystroke Dynamics Based Authentication
Biometrics based user authentication involves collecting user’s patterns and then using them to determine if a new pattern is… 
2006
2006
Novelty Detection Based Machine Health Prognostics
In this paper we present a new novelty detection algorithm for continuous real time monitoring of machine health and prediction… 
Highly Cited
2004
Highly Cited
2004
Keystroke dynamics identity verification d its problems and practical solutions
Password is the most widely used identity verification method in computer security domain. However, because of its simplicity, it… 
Review
2000
Review
2000
Novelty detection for the identification of abnormalities
The principle of novelty detection offers an approach to the problem of fault detection which only requires the normal class to… 
Highly Cited
1992
Highly Cited
1992
Experiments in Competence Acquisition for Autonomous Mobile Robots
This thesis addresses the problem of intelligent control of autonomous mobile robots, particularly under circumstances unforeseen… 
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