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» General Refinement, Part Two: Flexible Refinement
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IJCAI
2003
15 years 7 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, ...
152
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CGI
1998
IEEE
15 years 10 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
160
Voted
IFIP
2010
Springer
15 years 20 days 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...
147
Voted
ECTEL
2009
Springer
16 years 11 days 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...
138
Voted
ICMCS
2006
IEEE
97views Multimedia» more  ICMCS 2006»
15 years 12 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