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» Estimating Probabilities in Recommendation Systems
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ICMCS
2007
IEEE
133views Multimedia» more  ICMCS 2007»
14 years 3 months ago
Foreground Segmentation in Surveillance Scenes Containing a Door
We propose a new method for performing accurate background subtraction in scenes with a door, like a building entrance or a hallway. This kind of scene is common in surveillance a...
Andrew Miller, Mubarak Shah
ETT
2002
142views Education» more  ETT 2002»
13 years 9 months ago
Adaptive state- dependent importance sampling simulation of markovian queueing networks
In this paper, a method is presented for the efficient estimation of rare-event (buffer overflow) probabilities in queueing networks using importance sampling. Unlike previously pr...
Pieter-Tjerk de Boer, Victor F. Nicola
BMVC
2010
13 years 7 months ago
Deterministic Sample Consensus with Multiple Match Hypotheses
RANSAC (Random Sample Consensus) is a popular and effective technique for estimating model parameters in the presence of outliers. Efficient algorithms are necessary for both fram...
Paul McIlroy, Edward Rosten, Simon Taylor, Tom Dru...
LREC
2008
125views Education» more  LREC 2008»
13 years 10 months ago
Similar Term Discovery using Web Search
We present an approach to the discovery of semantically similar terms that utilizes a web search engine as both a source for generating related terms and a tool for estimating the...
Peter G. Anick, Vijay Murthi, Shaji Sebastian
CDC
2008
IEEE
152views Control Systems» more  CDC 2008»
14 years 3 months ago
Non-uniform small-gain theorems for systems with unstable invariant sets
— We consider the problem of small-gain analysis of asymptotic behavior in interconnected nonlinear dynamic systems. Mathematical models of these systems are allowed to be uncert...
Ivan Tyukin, Erik Steur, Henk Nijmeijer, Cees van ...