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» Outliers and Bayesian Inference
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EDBT
2009
ACM
122views Database» more  EDBT 2009»
13 years 10 months ago
Hiding distinguished ones into crowd: privacy-preserving publishing data with outliers
Publishing microdata raises concerns of individual privacy. When there exist outlier records in the microdata, the distinguishability of the outliers enables their privacy to be e...
Hui (Wendy) Wang, Ruilin Liu
ICRA
2007
IEEE
199views Robotics» more  ICRA 2007»
13 years 11 months ago
Automatic Outlier Detection: A Bayesian Approach
— In order to achieve reliable autonomous control in advanced robotic systems like entertainment robots, assistive robots, humanoid robots and autonomous vehicles, sensory data n...
Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
ICDM
2006
IEEE
226views Data Mining» more  ICDM 2006»
13 years 11 months ago
Converting Output Scores from Outlier Detection Algorithms into Probability Estimates
Current outlier detection schemes typically output a numeric score representing the degree to which a given observation is an outlier. We argue that converting the scores into wel...
Jing Gao, Pang-Ning Tan
IAT
2009
IEEE
13 years 9 months ago
Efficient Distributed Bayesian Reasoning via Targeted Instantiation of Variables
Abstract--This paper is focusing on exact Bayesian reasoning in systems of agents, which represent weakly coupled processing modules supporting collaborative inference through mess...
Patrick de Oude, Gregor Pavlin
ISBI
2004
IEEE
14 years 6 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...