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JMLR
2010
134views more  JMLR 2010»
13 years 2 months ago
Inference of Graphical Causal Models: Representing the Meaningful Information of Probability Distributions
This paper studies the feasibility and interpretation of learning the causal structure from observational data with the principles behind the Kolmogorov Minimal Sufficient Statist...
Jan Lemeire, Kris Steenhaut
VCIP
2003
178views Communications» more  VCIP 2003»
13 years 8 months ago
Geometrical image compression with bandelets
This paper introduces a new class of bases, called bandelet bases, which decompose the image along multiscale vectors that are elongated in the direction of a geometric flow. Thi...
Erwan Le Pennec, Stéphane Mallat
WSCG
2000
107views more  WSCG 2000»
13 years 8 months ago
Faster ASV Decomposition for Orthogonal Polyhedra, Using the Extreme Vertices Model (EVM)
The alternating sum of volumes (ASV) decomposition is a widely used technique for converting a b-rep into a CSG model, with all its implicit uses and advantages -like form feature...
Antonio Aguilera, Dolors Ayala
CASC
2007
Springer
108views Mathematics» more  CASC 2007»
14 years 1 months ago
Comprehensive Triangular Decomposition
We introduce the concept of comprehensive triangular decomposition (CTD) for a parametric polynomial system F with coefficients in a field. In broad words, this is a finite part...
Changbo Chen, Oleg Golubitsky, François Lem...
ICST
2008
IEEE
14 years 1 months ago
Empirical Software Change Impact Analysis using Singular Value Decomposition
Verification and validation techniques often generate various forms of software development artifacts. Change records created from verification and validation efforts show how fil...
Mark Sherriff, Laurie Williams