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» Detection of spatially correlated Gaussian time series
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79
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KDD
2005
ACM
127views Data Mining» more  KDD 2005»
15 years 10 months ago
Detection of emerging space-time clusters
We propose a new class of spatio-temporal cluster detection methods designed for the rapid detection of emerging space-time clusters. We focus on the motivating application of pro...
Daniel B. Neill, Andrew W. Moore, Maheshkumar Sabh...
BIOINFORMATICS
2002
146views more  BIOINFORMATICS 2002»
14 years 9 months ago
A duplication growth model of gene expression networks
Motivation: There has been considerable interest in developing computational techniques for inferring genetic regulatory networks from whole-genome expression profiles. When expre...
Ashish Bhan, David J. Galas, T. Gregory Dewey
CSDA
2007
105views more  CSDA 2007»
14 years 9 months ago
Joint segmentation of wind speed and direction using a hierarchical model
The problem of detecting changes in wind speed and direction is considered. Bayesian priors, with various degrees of certainty, are used to represent relationships between the two...
Nicolas Dobigeon, Jean-Yves Tourneret
88
Voted
MICCAI
2009
Springer
15 years 10 months ago
Functional Segmentation of fMRI Data Using Adaptive Non-negative Sparse PCA (ANSPCA)
We propose a novel method for functional segmentation of fMRI data that incorporates multiple functional attributes such as activation effects and functional connectivity, under a ...
Bernard Ng, Rafeef Abugharbieh, Martin J. McKeow...
IH
1998
Springer
15 years 1 months ago
Modelling the False Alarm and Missed Detection Rate for Electronic Watermarks
Theoretical modeling of watermarks allow prediction of the detector reliability and facilitates the development of more reliable systems. In particular, mathematical evaluation is ...
Jean-Paul M. G. Linnartz, Ton Kalker, Geert Depove...