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JMLR
2010
88views more  JMLR 2010»
15 years 24 days ago
Inference and Learning in Networks of Queues
Probabilistic models of the performance of computer systems are useful both for predicting system performance in new conditions, and for diagnosing past performance problems. The ...
Charles A. Sutton, Michael I. Jordan
DCC
2007
IEEE
16 years 5 months ago
Inferring sequences produced by a linear congruential generator on elliptic curves missing high-order bits
Let p be a prime and let E(IFp) be an elliptic curve defined over the finite field IFp of p elements. For a given point G E(IFp) the linear congruential genarator on elliptic curv...
Jaime Gutierrez, Álvar Ibeas
SIBGRAPI
2008
IEEE
16 years 12 days ago
Bayesian Estimation of Hyperparameters in MRI through the Maximum Evidence Method
Bayesian inference methods are commonly applied to the classification of brain Magnetic Resonance images (MRI). We use the Maximum Evidence (ME) approach to estimate the most prob...
Damian E. Oliva, Roberto A. Isoardi, Germán...
CVBIA
2005
Springer
15 years 11 months ago
A Hybrid Framework for Image Segmentation Using Probabilistic Integration of Heterogeneous Constraints
In this paper we present a new framework for image segmentation using probabilistic multinets. We apply this framework to integration of regionbased and contour-based segmentation ...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
CORR
2007
Springer
109views Education» more  CORR 2007»
15 years 6 months ago
Graph rigidity, Cyclic Belief Propagation and Point Pattern Matching
—A recent paper [1] proposed a provably optimal polynomial time method for performing near-isometric point pattern matching by means of exact probabilistic inference in a chordal...
Julian John McAuley, Tibério S. Caetano, Ma...