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CVIU
2008
188views more  CVIU 2008»
14 years 9 months ago
Learning function-based object classification from 3D imagery
We propose a novel scheme for using supervised learning for function-based classification of objects in 3D images. During the learning process, a generic multi-level hierarchical ...
Michael Pechuk, Octavian Soldea, Ehud Rivlin
ICPR
2008
IEEE
15 years 10 months ago
A probabilistic Self-Organizing Map for facial recognition
This article presents a method aiming at quantifying the visual similarity between an image and a class model. This kind of problem is recurrent in many applications such as objec...
Christophe Garcia, Grégoire Lefebvre
ICML
2007
IEEE
15 years 10 months ago
Sparse probabilistic classifiers
The scores returned by support vector machines are often used as a confidence measures in the classification of new examples. However, there is no theoretical argument sustaining ...
Romain Hérault, Yves Grandvalet
FMCO
2006
Springer
15 years 1 months ago
Towards a Formal Framework for Computational Trust
d Abstract) Vladimiro Sassone1 , Karl Krukow2 , and Mogens Nielsen2 1 ECS, University of Southampton 2 BRICS , University of Aarhus We define a mathematical measure for the quantit...
Vladimiro Sassone, Karl Krukow, Mogens Nielsen
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ANOR
2010
96views more  ANOR 2010»
14 years 9 months ago
Lipschitz and differentiability properties of quasi-concave and singular normal distribution functions
Abstract The paper provides a condition for differentiability as well as an equivalent criterion for Lipschitz continuity of singular normal distributions. Such distributions are o...
René Henrion, Werner Römisch