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» A Graph Based Data Model for Graphics Interpretation
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CIDM
2009
IEEE
15 years 8 months ago
A new hybrid method for Bayesian network learning With dependency constraints
Abstract— A Bayes net has qualitative and quantitative aspects: The qualitative aspect is its graphical structure that corresponds to correlations among the variables in the Baye...
Oliver Schulte, Gustavo Frigo, Russell Greiner, We...
VISUALIZATION
2002
IEEE
15 years 6 months ago
Geometric Surface Smoothing via Anisotropic Diffusion of Normals
This paper introduces a method for smoothing complex, noisy surfaces, while preserving (and enhancing) sharp, geometric features. It has two main advantages over previous approach...
Tolga Tasdizen, Ross T. Whitaker, Paul Burchard, S...
NAR
2000
128views more  NAR 2000»
15 years 1 months ago
The IMB Jena Image Library of Biological Macromolecules
The IMB Jena Image Library of Biological Macromolecules (http://www.imb-jena.de/IMAGE.html ) is aimed at a better dissemination of information on three-dimensional biopolymer stru...
Jan Reichert, Andreas Jabs, Peter Slickers, Jü...
TVCG
2002
109views more  TVCG 2002»
15 years 1 months ago
Robust Creation of Implicit Surfaces from Polygonal Meshes
Implicit surfaces are used for a number of tasks in computer graphics, including modeling soft or organic objects, morphing, collision detection, and constructive solid geometry. A...
Gary D. Yngve, Greg Turk
BMVC
2010
14 years 12 months ago
Label propagation in complex video sequences using semi-supervised learning
We propose a novel directed graphical model for label propagation in lengthy and complex video sequences. Given hand-labelled start and end frames of a video sequence, a variation...
Ignas Budvytis, Vijay Badrinarayanan, Roberto Cipo...