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» Prototype based outlier detection
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ISBI
2004
IEEE
14 years 7 months ago
Outlier Detection for Robust Region-Based Estimation of the Hemodynamic Response Function in Event-Related fMRI
In functional Magnetic Resonance Imaging (fMRI), the Hemodynamic Response Function (HRF) represents the impulse response of the neurovascular system. Its identification is essenti...
Philippe Ciuciu, Alexis Roche, Jérôme...
IJAIT
2008
88views more  IJAIT 2008»
13 years 7 months ago
Outrank: a Graph-Based Outlier Detection Framework Using Random Walk
H. D. K. Moonesinghe, Pang-Ning Tan
KDD
2006
ACM
156views Data Mining» more  KDD 2006»
14 years 7 months ago
Detecting outliers using transduction and statistical testing
Outlier detection can uncover malicious behavior in fields like intrusion detection and fraud analysis. Although there has been a significant amount of work in outlier detection, ...
Daniel Barbará, Carlotta Domeniconi, James ...
CANS
2005
Springer
134views Cryptology» more  CANS 2005»
14 years 18 days ago
A New Unsupervised Anomaly Detection Framework for Detecting Network Attacks in Real-Time
Abstract. In this paper, we propose a new unsupervised anomaly detection framework for detecting network intrusions online. The framework consists of new anomalousness metrics name...
Wei Lu, Issa Traoré
ICPR
2004
IEEE
14 years 8 months ago
Outlier Detection Using k-Nearest Neighbour Graph
We present an Outlier Detection using Indegree Number (ODIN) algorithm that utilizes k-nearest neighbour graph. Improvements to existing kNN distance -based method are also propos...
Ismo Kärkkäinen, Pasi Fränti, Ville...