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JAIR
1998
198views more  JAIR 1998»
15 years 5 months ago
Probabilistic Inference from Arbitrary Uncertainty using Mixtures of Factorized Generalized Gaussians
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
Alberto Ruiz, Pedro E. López-de-Teruel, M. ...
TKDE
2002
123views more  TKDE 2002»
15 years 5 months ago
Coordinated Placement and Replacement for Large-Scale Distributed Caches
In a large-scale information system such as a digital library or the web, a set of distributed caches can improve their effectiveness by coordinating their data placement decisions...
Madhukar R. Korupolu, Michael Dahlin
ML
2007
ACM
106views Machine Learning» more  ML 2007»
15 years 5 months ago
Surrogate maximization/minimization algorithms and extensions
Abstract Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. A...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
ICPR
2010
IEEE
15 years 5 months ago
3D Vertebrae Segmentation in CT Images with Random Noises
Exposure levels (X-ray tube amperage and peak kilovoltage) are associated with various noise levels and radiation dose. When higher exposure levels are applied, the images have hi...
Melih Seref Aslan
EWC
2010
112views more  EWC 2010»
15 years 4 months ago
Meshing volumes with curved boundaries
Abstract This paper introduces a three-dimensional mesh generation algorithm for domains whose boundaries are curved surfaces, possibly with sharp features. The algorithm combines ...
Steve Oudot, Laurent Rineau, Mariette Yvinec