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» Graph model selection using maximum likelihood
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CG
2005
Springer
13 years 8 months ago
Combining SP-Octrees and impostors for the visualisation of multiresolution models
Space-Partition Octree (SP-Octree) is a hierarchical representation scheme for solid modelling. It allows a multiresolution representation of polyhedral objects, and has been succ...
Francisco J. Melero, Pedro Cano, Juan Carlos Torre...
CVPR
2008
IEEE
14 years 10 months ago
Learning Bayesian Networks with qualitative constraints
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...
Yan Tong, Qiang Ji
IPPS
2010
IEEE
13 years 6 months ago
Runtime checking of serializability in software transactional memory
Abstract--Ensuring the correctness of complex implementations of software transactional memory (STM) is a daunting task. Attempts have been made to formally verify STMs, but these ...
Arnab Sinha, Sharad Malik
CORR
2012
Springer
170views Education» more  CORR 2012»
12 years 4 months ago
What Cannot be Learned with Bethe Approximations
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
Uri Heinemann, Amir Globerson
HICSS
2003
IEEE
162views Biometrics» more  HICSS 2003»
14 years 2 months ago
Decision Support Models for Composing and Navigating through e-Learning Objects
Libraries of learning objects may serve as basis for deriving course offerings that are customized to the needs of different learning communities or even individuals. Several ways...
Gerhard Knolmayer