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SYNTHESE
2011
13 years 3 months ago
2011
Scientific and statistical inferences build heavily on explicit, parametric models, and often with good reasons. However, the limited scope of parametric models and the increasin...
EUROCRYPT
2011
Springer
12 years 11 months ago
2011
Springer
We define the BQS-UC model, a variant of the UC model, that deals with protocols in the bounded quantum storage model. We present a statistically secure commitment protocol in th...
ICIP
2001
IEEE
14 years 9 months ago
2001
IEEE
Gauss mixtures have gained popularity in statistics and statistical signal processing applications for a variety of reasons, including their ability to well approximatea large cla...
ACCV
2009
Springer
14 years 2 months ago
2009
Springer
Mixtures of Gaussians are a crucial statistical modeling tool at the heart of many challenging applications in computer vision and machine learning. In this paper, we first descri...
ICRA
2010
IEEE
13 years 6 months ago
2010
IEEE
Abstract-- This paper presents a novel framework for integrating fundamental tasks in robotic navigation through a statistical inference procedure. A probabilistic model that joint...