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» Bayesian spatial modeling and interpolation using copulas
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ICML
2007
IEEE
14 years 8 months ago
Beamforming using the relevance vector machine
Beamformers are spatial filters that pass source signals in particular focused locations while suppressing interference from elsewhere. The widely-used minimum variance adaptive b...
David P. Wipf, Srikantan S. Nagarajan
CVPR
2009
IEEE
1216views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Marked Point Processes for Crowd Counting
A Bayesian marked point process (MPP) model is developed to detect and count people in crowded scenes. The model couples a spatial stochastic process governing number and placem...
Robert T. Collins, Weina Ge
ICIP
2006
IEEE
14 years 9 months ago
Light and Fast Statistical Motion Detection Method Based on Ergodic Model
In this paper, we propose a light and fast pixel-based statistical motion detection method based on a background subtraction procedure. The statistical representation of the backg...
Pierre-Marc Jodoin, Max Mignotte, Janusz Konrad
CVPR
2007
IEEE
14 years 9 months ago
Two thresholds are better than one
The concept of the Bayesian optimal single threshold is a well established and widely used classification technique. In this paper, we prove that when spatial cohesion is assumed ...
Tao Zhang, Terrance E. Boult, R. C. Johnson
GIS
2005
ACM
14 years 8 months ago
Supporting uncertainty in moving objects in network databases
The management of moving objects has been intensively studied in the recent years. A wide and increasing range of database applications has to deal with spatial objects whose posi...
Ralf Hartmut Güting, Victor Teixeira de Almei...