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143
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DAGSTUHL
2006
15 years 5 months ago
Program Compression
Abstract. The talk focused on a grammar-based technique for identifying redundancy in program code and taking advantage of that redundancy to reduce the memory required to store an...
William S. Evans
148
Voted
UAI
2004
15 years 5 months ago
Dependent Dirichlet Priors and Optimal Linear Estimators for Belief Net Parameters
A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
Peter Hooper
WSCG
2003
144views more  WSCG 2003»
15 years 5 months ago
Progressive Transmission of Polyhedral Solids Using a Hierarchical Representation Scheme
In the last years several 3D model compression methods for multiresolution applications have been presented, most of them using 3D meshes. Octrees are a natural multiresolution re...
Pedro Cano, Juan Carlos Torres, Francisco Velasco
ECAI
2010
Springer
15 years 5 months ago
Bayesian Monte Carlo for the Global Optimization of Expensive Functions
In the last decades enormous advances have been made possible for modelling complex (physical) systems by mathematical equations and computer algorithms. To deal with very long run...
Perry Groot, Adriana Birlutiu, Tom Heskes
ADT
2005
15 years 3 months ago
High rate compression of CAD meshes based on subdivision inversion
In this paper we present a new framework, based on subdivision surface approximation, for efficient compression and coding of 3D models represented by polygonal meshes. Our algorit...
Guillaume Lavoué, Florent Dupont, Atilla Ba...