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» General Refinement, Part Two: Flexible Refinement
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IJCAI
2003
13 years 8 months ago
Spaces of Theories with Ideal Refinement Operators
Refinement operators for theories avoid the problems related to the myopia of many relational learning algorithms based on the operators that refine single clauses. However, the n...
Nicola Fanizzi, Stefano Ferilli, Nicola Di Mauro, ...
CGI
1998
IEEE
13 years 11 months ago
Hierarchical Decomposition of Datasets on Irregular Surface Meshes
In this paper we introduce multiresolution analysis (MRA) algorithmsintendedto be used in scientific visualization,and basedon a non-nestedset ofapproximatingspaces. The need for ...
Georges-Pierre Bonneau, Alexandre Gerussi
IFIP
2010
Springer
13 years 2 months ago
A Mixed Level Simulation Environment for Stepwise RTOS Software Refinement
Abstract. In this article, we present a flexible simulation environment for embedded real-time software refinement by a mixed level cosimulation. For this, ne the native speed of a...
Markus Becker, Henning Zabel, Wolfgang Müller...
ECTEL
2009
Springer
14 years 2 months ago
LAG 2.0: Refining a Reusable Adaptation Language and Improving on Its Authoring
Reusable adaptation specifications for adaptive behaviour has come to the forefront of adaptive research recently, with EU projects such as GRAPPLE1, and PhD research efforts on de...
Alexandra I. Cristea, David Smits, Jon Bevan, Maur...
ICMCS
2006
IEEE
97views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Fast Progressive Model Refinement Global Motion Estimation Algorithm with Prediction
Global Motion Estimation (GME) is an important part in the object-based applications. In this paper, a fast progressive model refinement (FPMR) GME algorithm is proposed. It can s...
Haifeng Wang, Jia Wang, Qingshan Liu, Hanqing Lu