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CVIU
2008
188views more  CVIU 2008»
13 years 7 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
14 years 8 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
14 years 8 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
13 years 11 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
ANOR
2010
96views more  ANOR 2010»
13 years 7 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