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» Bayesian multiscale analysis for time series data
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WWW
2008
ACM
14 years 8 months ago
Computable social patterns from sparse sensor data
We present a computational framework to automatically discover high-order temporal social patterns from very noisy and sparse location data. We introduce the concept of social foo...
Dinh Q. Phung, Brett Adams, Svetha Venkatesh
ICIP
1999
IEEE
14 years 9 months ago
Hyperparameter Estimation for Emission Computed Tomography Data
Over the last years many statistical models have been proposed to restore tomographical images. However, their use in medical environment has been limited due to several factors. ...
Aggelos K. Katsaggelos, Antonio López, Rafa...
ICVS
1999
Springer
13 years 11 months ago
Action Reaction Learning: Automatic Visual Analysis and Synthesis of Interactive Behaviour
We propose Action-Reaction Learning as an approach for analyzing and synthesizing human behaviour. This paradigm uncovers causal mappings between past and future events or between...
Tony Jebara, Alex Pentland
CVPR
2007
IEEE
14 years 9 months ago
Tracking Large Variable Numbers of Objects in Clutter
We propose statistical data association techniques for visual tracking of enormously large numbers of objects. We do not assume any prior knowledge about the numbers involved, and...
Margrit Betke, Diane E. Hirsh, Angshuman Bagchi, N...
HICSS
2000
IEEE
113views Biometrics» more  HICSS 2000»
13 years 12 months ago
Initial Evidence for Self-Organized Criticality in Electric Power System Blackouts
We examine correlations in a time series of electric power system blackout sizes using scaled window variance analysis and R/S statistics. The data shows some evidence of long tim...
Benjamin A. Carreras, David E. Newman, Ian Dobson,...