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NIPS
2008
14 years 11 months ago
Covariance Estimation for High Dimensional Data Vectors Using the Sparse Matrix Transform
Covariance estimation for high dimensional vectors is a classically difficult problem in statistical analysis and machine learning. In this paper, we propose a maximum likelihood ...
Guangzhi Cao, Charles A. Bouman
UAI
2008
14 years 11 months ago
Tightening LP Relaxations for MAP using Message Passing
Linear Programming (LP) relaxations have become powerful tools for finding the most probable (MAP) configuration in graphical models. These relaxations can be solved efficiently u...
David Sontag, Talya Meltzer, Amir Globerson, Tommi...
IADIS
2004
14 years 11 months ago
Learning with Technology: The Way we Think in the Digital ERA
Operating modern digital environments, as computer software and digital instruments require users to master a large variety of cognitive, motor, sociological, and emotional skills...
Yoram Eshet
ICHIM
2001
113views more  ICHIM 2001»
14 years 11 months ago
A Content-Centered Methodology for Authoring 3D Interactive Worlds for Cultural Heritage
The application of 3D visualization technologies to cultural heritage has deeply evolved along years, shifting from the role of an ancillary technical solution to the dignity of a...
Augusto Celentano, Fabio Pittarello
NIPS
2001
14 years 11 months ago
MIME: Mutual Information Minimization and Entropy Maximization for Bayesian Belief Propagation
Bayesian belief propagation in graphical models has been recently shown to have very close ties to inference methods based in statistical physics. After Yedidia et al. demonstrate...
Anand Rangarajan, Alan L. Yuille
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