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CADE
2006
Springer
16 years 7 months ago
Blocking and Other Enhancements for Bottom-Up Model Generation Methods
In this paper we introduce several new improvements to the bottom-up model generation (BUMG) paradigm. Our techniques are based on non-trivial transformations of first-order probl...
Peter Baumgartner, Renate A. Schmidt
CVPR
2010
IEEE
16 years 2 months ago
Safety in Numbers: Learning Categories from Few Examples with Multi Model Knowledge Transfer
Learning object categories from small samples is a challenging problem, where machine learning tools can in general provide very few guarantees. Exploiting prior knowledge may be ...
Tatiana Tommasi, Francesco Orabona, Barbara Caputo
TAMC
2009
Springer
16 years 1 months ago
Best-Order Streaming Model
We study a new model of computation called stream checking on graph problems where a space-limited verifier has to verify a proof sequentially (i.e., it reads the proof as a strea...
Atish Das Sarma, Richard J. Lipton, Danupon Nanong...
FMCAD
2007
Springer
16 years 26 days ago
Automated Extraction of Inductive Invariants to Aid Model Checking
Abstract— Model checking can be aided by inductive invariants, small local properties that can be proved by simple induction. We present a way to automatically extract inductive ...
Michael L. Case, Alan Mishchenko, Robert K. Brayto...
138
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ICCSA
2003
Springer
15 years 12 months ago
Computational Modelling of Particle Degradation in Dilute Phase Pneumatic Conveyors
The aim of this paper is to develop a mathematical model with the ability to predict particle degradation during dilute phase pneumatic conveying. A numerical procedure, based on a...
Pierre Chapelle, Nicholas Christakis, Hadi Abou-Ch...