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» Selectivity Estimation using Probabilistic Models
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CJ
2010
131views more  CJ 2010»
14 years 9 months ago
Probabilistic Approaches to Estimating the Quality of Information in Military Sensor Networks
an be used to abstract away from the physical reality by describing it as components that exist in discrete states with probabilistically invoked actions that change the state. The...
Duncan Gillies, David Thornley, Chatschik Bisdikia...
ICPR
2002
IEEE
16 years 23 days ago
A Probabilistic Model for Camera Zoom Detection
Camera motion detection is essential for automated video analysis. We propose a new probabilistic model for detecting zoom-in/zoom-out operations. The model uses EM to estimate th...
Rong Jin, Yanjun Qi, Alexander G. Hauptmann
CVPR
2003
IEEE
16 years 1 months ago
Object Class Recognition by Unsupervised Scale-Invariant Learning
We present a method to learn and recognize object class models from unlabeled and unsegmented cluttered scenes in a scale invariant manner. Objects are modeled as flexible constel...
Robert Fergus, Pietro Perona, Andrew Zisserman
CSDA
2008
94views more  CSDA 2008»
14 years 11 months ago
Robust model selection using fast and robust bootstrap
Robust model selection procedures control the undue influence that outliers can have on the selection criteria by using both robust point estimators and a bounded loss function wh...
Matias Salibian-Barrera, Stefan Van Aelst
CCGRID
2009
IEEE
15 years 6 months ago
Modeling Job Lifespan Delays in Volunteer Computing Projects
Volunteer Computing (VC) projects harness the power of computers owned by volunteers across the Internet to perform hundreds of thousands of independent jobs. In VC projects, the ...
Trilce Estrada, Michela Taufer, Kevin Reed