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» Selectivity Estimation using Probabilistic Models
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CP
2007
Springer
15 years 6 months ago
Boosting Probabilistic Choice Operators
Probabilistic Choice Operators (PCOs) are convenient tools to model uncertainty in CP. They are useful to implement randomized algorithms and stochastic processes in the concurrent...
Matthieu Petit, Arnaud Gotlieb
NIPS
1998
15 years 1 months ago
Probabilistic Modeling for Face Orientation Discrimination: Learning from Labeled and Unlabeled Data
This paper presents probabilistic modeling methods to solve the problem of discriminating between five facial orientations with very little labeled data. Three models are explored...
Shumeet Baluja
ICASSP
2011
IEEE
14 years 3 months ago
Maximum a posteriori based regularization parameter selection
The 1 norm regularized least square technique has been proposed as an efficient method to calculate sparse solutions. However, the choice of the regularization parameter is still...
Ashkan Panahi, Mats Viberg
CCGRID
2008
IEEE
15 years 1 months ago
Using Probabilistic Characterization to Reduce Runtime Faults in HPC Systems
Abstract--The current trend in high performance computing is to aggregate ever larger numbers of processing and interconnection elements in order to achieve desired levels of compu...
Jim M. Brandt, Bert J. Debusschere, Ann C. Gentile...
ICIP
2002
IEEE
15 years 4 months ago
Head pose estimation using Gabor eigenspace modeling
In this paper, an approach towards head pose estimation is introduced based on Gabor eigenspace modeling. Gabor filter is used to enhance pose information and eliminate other dist...
Yucheng Wei, Ludovic Fradet, Tieniu Tan