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» Distributed parameter estimation in networks
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JSAI
2005
Springer
14 years 2 months ago
Learning Stochastic Logical Automaton
Abstract. This paper is concerned with algorithms for the logical generalisation of probabilistic temporal models from examples. The algorithms combine logic and probabilistic mode...
Hiroaki Watanabe, Stephen Muggleton
MDAI
2005
Springer
14 years 2 months ago
One-Way and Two-Party Authenticated ID-Based Key Agreement Protocols Using Pairing
Cryptography is the ancient science of encrypting messages so that only the sender and receiver can recover them. To achieve this goal, an agreed key between the sender and receive...
Takeshi Okamoto, Raylin Tso, Eiji Okamoto
EMMCVPR
2001
Springer
14 years 1 months ago
A Hierarchical Markov Random Field Model for Figure-Ground Segregation
To segregate overlapping objects into depth layers requires the integration of local occlusion cues distributed over the entire image into a global percept. We propose to model thi...
Stella X. Yu, Tai Sing Lee, Takeo Kanade
CVPR
2004
IEEE
14 years 16 days ago
Motion Without Correspondence from Tomographic Projections by Bayesian Inversion Theory
In conventional tomography, the interior of an object is reconstructed from tomographic projections such as X-ray or electron microscope images. All the current reconstruction met...
Sami S. Brandt, Ville Kolehmainen
ECML
2006
Springer
14 years 14 days ago
Bayesian Active Learning for Sensitivity Analysis
Abstract. Designs of micro electro-mechanical devices need to be robust against fluctuations in mass production. Computer experiments with tens of parameters are used to explore th...
Tobias Pfingsten