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» Computational Probabilistic Non-interference
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WS
2008
ACM
15 years 4 months ago
Managing uncertainty and vagueness in description logics for the Semantic Web
Ontologies play a crucial role in the development of the Semantic Web as a means for defining shared terms in web resources. They are formulated in web ontology languages, which a...
Thomas Lukasiewicz, Umberto Straccia
PERCOM
2010
ACM
15 years 2 months ago
Faster Bayesian context inference by using dynamic value ranges
—This paper shows how to reduce evaluation time for context inference. Probabilistic Context Inference has proven to be a good representation of the physical reality with uncerta...
Korbinian Frank, Patrick Robertson, Sergio Fortes ...
CVPR
2008
IEEE
16 years 6 months ago
Learning class-specific affinities for image labelling
Spectral clustering and eigenvector-based methods have become increasingly popular in segmentation and recognition. Although the choice of the pairwise similarity metric (or affin...
Dhruv Batra, Rahul Sukthankar, Tsuhan Chen
CORR
2012
Springer
170views Education» more  CORR 2012»
13 years 11 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
MOBISYS
2006
ACM
16 years 3 months ago
LIGER: implementing efficient hybrid security mechanisms for heterogeneous sensor networks
The majority of security schemes available for sensor networks assume deployment in areas without access to a wired infrastructure. More specifically, nodes in these networks are ...
Patrick Traynor, Raju Kumar, Hussain Bin Saad, Guo...