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ENTCS
2008
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13 years 11 months ago
Maude as a Platform for Designing and Implementing Deep Inference Systems
Deep inference is a proof theoretical methodology that generalizes the traditional notion of inference in the sequent calculus: in contrast to the sequent calculus, the deductive ...
Ozan Kahramanogullari
AIML
2006
14 years 25 days ago
Deep Sequent Systems for Modal Logic
We see a systematic set of cut-free axiomatisations for all the basic normal modal logics formed by some combination the axioms d, t, b, 4, 5. They employ a form of deep inference ...
Kai Brünnler
ECCV
2002
Springer
15 years 1 months ago
Factorial Markov Random Fields
In this paper we propose an extension to the standard Markov Random Field (MRF) model in order to handle layers. Our extension, which we call a Factorial MRF (FMRF), is analogous t...
Junhwan Kim, Ramin Zabih