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ICTAI
2010
IEEE
13 years 7 months ago
Discountings of a Belief Function Using a Confusion Matrix
In this paper, we present an analysis of different approaches relative to the correction of belief functions based on the results given by a confusion matrix. Three different mecha...
Zied Elouedi, Eric Lefevre, David Mercier
JORS
2011
67views more  JORS 2011»
13 years 4 months ago
Robust parameter design optimization of simulation experiments using stochastic perturbation methods
Stochastic perturbation methods can be applied to problems for which either the objective function is represented analytically, or the objective function is the result of a simula...
A. K. Miranda, E. Del Castillo
MICCAI
2002
Springer
14 years 10 months ago
Improved Detection Sensitivity in Functional MRI Data Using a Brain Parcelling Technique
We present a comparison between a voxel based approach and a region based technique for detecting brain activation signals in sequences of functional Magnetic Resonance Images (fMR...
Guillaume Flandin, Ferath Kherif, Xavier Pennec, G...
ICML
2006
IEEE
14 years 10 months ago
Efficient MAP approximation for dense energy functions
We present an efficient method for maximizing energy functions with first and second order potentials, suitable for MAP labeling estimation problems that arise in undirected graph...
Marius Leordeanu, Martial Hebert
SAC
2009
ACM
14 years 4 months ago
GPU-based computation of distance functions on road networks with applications
We present a GPU-based algorithm for computing discretized distance functions on road networks. As applications, we provide algorithms for computing discrete Order-k Network Voron...
Marta Fort, Joan Antoni Sellarès