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CGF
2008
153views more  CGF 2008»
14 years 9 months ago
Computing Local Signed Distance Fields for Large Polygonal Models
The signed distance field for a polygonal model is a useful representation that facilitates efficient computation in many visualization and geometric processing tasks. Often it is...
Byungjoon Chang, Deukhyun Cha, Insung Ihm
IJAR
2010
106views more  IJAR 2010»
14 years 8 months ago
A minimum distance estimator in an imprecise probability model - Computational aspects and applications
The present article considers estimating a parameter θ in an imprecise probability model (Pθ)θ∈Θ which consists of coherent upper previsions Pθ . After the definition of a...
Robert Hable
GCB
2007
Springer
89views Biometrics» more  GCB 2007»
15 years 3 months ago
Expected Gene Order Distances and Model Selection in Bacteria
The most parsimonous distances calculated in pairwise gene order comparisons cannot accurately reflect the true number of events separating two species, unless the number of chan...
Niklas Eriksen
IMC
2004
ACM
15 years 3 months ago
Modeling distances in large-scale networks by matrix factorization
In this paper, we propose a model for representing and predicting distances in large-scale networks by matrix factorization. The model is useful for network distance sensitive app...
Yun Mao, Lawrence K. Saul
80
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ECAI
2008
Springer
14 years 11 months ago
Modeling Collaborative Similarity with the Signed Resistance Distance Kernel
We extend the resistance distance kernel to the domain of signed dissimilarity values, and show how it can be applied to collaborative rating prediction. The resistance distance is...
Jérôme Kunegis, Stephan Schmidt, Sahi...