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ICPR
2004
IEEE
14 years 6 months ago
Motion Analysis Using Frame Differences with Spatial Gradient Measures
The paper considers making inferences about the underlying true 2-D motion when only evaluations of a local block-based cost function, the mean of absolute or squared differences,...
Pekka Sangi, Janne Heikkilä, Olli Silvé...
SIGMOD
2011
ACM
234views Database» more  SIGMOD 2011»
12 years 8 months ago
Ranking with uncertain scoring functions: semantics and sensitivity measures
Ranking queries report the top-K results according to a user-defined scoring function. A widely used scoring function is the weighted summation of multiple scores. Often times, u...
Mohamed A. Soliman, Ihab F. Ilyas, Davide Martinen...
SAGA
2009
Springer
14 years 9 days ago
Scenario Reduction Techniques in Stochastic Programming
Stochastic programming problems appear as mathematical models for optimization problems under stochastic uncertainty. Most computational approaches for solving such models are base...
Werner Römisch
IPSN
2005
Springer
13 years 11 months ago
The sensor selection problem for bounded uncertainty sensing models
We address the problem of selecting sensors so as to minimize the error in estimating the position of a target. We consider a generic sensor model where the measurements can be in...
Volkan Isler, Ruzena Bajcsy
ICDE
2008
IEEE
153views Database» more  ICDE 2008»
14 years 7 months ago
A Framework for Clustering Uncertain Data Streams
Abstract-- In recent years, uncertain data management applications have grown in importance because of the large number of hardware applications which measure data approximately. F...
Charu C. Aggarwal, Philip S. Yu