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» Selectivity Estimation using Probabilistic Models
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IAJIT
2010
95views more  IAJIT 2010»
15 years 4 months ago
Modelling of Updating Moving Object Database Using Timed Petri Net Model
: Tracking moving objects is one of the most common requirements for many location-based applications. The location of a moving object changes continuously but the database locatio...
Hatem Abdul-Kader, Warda El-Kholy
WSC
2001
15 years 7 months ago
Accounting for input model and parameter uncertainty in simulation
Taking into account input-model, input-parameter, and stochastic uncertainties inherent in many simulations, our Bayesian approach to input modeling yields valid point and confide...
Faker Zouaoui, James R. Wilson
ACCV
2006
Springer
16 years 9 days ago
Dense Motion and Disparity Estimation Via Loopy Belief Propagation
We describe a method for computing a dense estimate of motion and disparity, given a stereo video sequence containing moving non-rigid objects. In contrast to previous approaches, ...
Michael Isard, John MacCormick
SIGIR
2008
ACM
15 years 6 months ago
Learning from labeled features using generalized expectation criteria
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
Gregory Druck, Gideon S. Mann, Andrew McCallum
TKDE
2011
150views more  TKDE 2011»
15 years 1 months ago
Estimating and Enhancing Real-Time Data Service Delays: Control-Theoretic Approaches
—It is essential to process real-time data service requests such as stock quotes and trade transactions in a timely manner using fresh data, which represent the current real worl...
Kyoung-Don Kang, Yan Zhou, Jisu Oh