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» Detecting Inconsistencies in Distributed Data
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2004
Springer
14 years 3 months ago
Detection of Dynamical Transitions in Biomedical Signals Using Nonlinear Methods
The ability to detect the existence of nonlinear dynamics may facilitate medical diagnostics for identifying, monitoring and predicting transitions from health to sickness. Detecti...
Patrick E. McSharry
MICCAI
2007
Springer
14 years 11 months ago
Characterizing Task-Related Temporal Dynamics of Spatial Activation Distributions in fMRI BOLD Signals
We present a new functional magnetic resonance imaging (fMRI) analysis method that incorporates both spatial and temporal dynamics of bloodoxygen-level dependent (BOLD) signals wit...
Bernard Ng, Rafeef Abugharbieh, Samantha J. Palmer...
CN
2004
111views more  CN 2004»
13 years 10 months ago
Edge-to-edge measurement-based distributed network monitoring
Continuous monitoring of a network domain poses several challenges. First, routers of a network domain need to be polled periodically to collect statistics about delay, loss, and ...
Ahsan Habib, Maleq Khan, Bharat K. Bhargava
IEEEARES
2010
IEEE
14 years 3 months ago
Heuristics for Detecting Botnet Coordinated Attacks
— This paper studies the analysis on the Cyber Clean Center (CCC) Data Set 2009, consisting of raw packets captured more than 90 independent honeypots, in order for detecting beh...
Kazuya Kuwabara, Hiroaki Kikuchi, Masato Terada, M...
ML
1998
ACM
113views Machine Learning» more  ML 1998»
13 years 10 months ago
Machine Learning for the Detection of Oil Spills in Satellite Radar Images
During a project examining the use of machine learning techniques for oil spill detection, we have encountered several essential questions that we believe deserve the attention of ...
Miroslav Kubat, Robert C. Holte, Stan Matwin