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KDD
2008
ACM
213views Data Mining» more  KDD 2008»
14 years 9 months ago
Heterogeneous data fusion for alzheimer's disease study
Effective diagnosis of Alzheimer's disease (AD) is of primary importance in biomedical research. Recent studies have demonstrated that neuroimaging parameters are sensitive a...
Jieping Ye, Kewei Chen, Teresa Wu, Jing Li, Zheng ...
KDD
2007
ACM
182views Data Mining» more  KDD 2007»
14 years 9 months ago
A fast algorithm for finding frequent episodes in event streams
Frequent episode discovery is a popular framework for mining data available as a long sequence of events. An episode is essentially a short ordered sequence of event types and the...
Srivatsan Laxman, P. S. Sastry, K. P. Unnikrishnan
ECCV
2004
Springer
14 years 2 months ago
Ultrasound Stimulated Vibro-acoustography
ABSTRACT We describe theoretical principles of an imaging modality that uses the acoustic response of an object to a highly localized dynamic radiation force of an ultrasound field...
James F. Greenleaf, Mostafa Fatemi, Marek Belohlav...
IMC
2007
ACM
13 years 10 months ago
Compressed network monitoring for ip and all-optical networks
We address the problem of efficient end-to-end network monitoring of path metrics in communication networks. Our goal is to minimize the number of measurements or monitors requir...
Mark Coates, Yvan Pointurier, Michael Rabbat
GRAPHICSINTERFACE
2007
13 years 10 months ago
Visualization and exploration of time-varying medical image data sets
In this work, we propose and compare several methods for the visualization and exploration of time-varying volumetric medical images based on the temporal characteristics of the d...
Zhe Fang, Torsten Möller, Ghassan Hamarneh, A...