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» Studies in Solution Sampling
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ICIP
2008
IEEE
16 years 8 months ago
Consistent and regularized magnification of images
Because more output data must be created than is available from the input, magnification is an ill-posed problem. Traditional magnification relies on resampling an interpolation mo...
Aurélien Bourquard, Katarina Balac, Michael...
ICIP
2006
IEEE
16 years 8 months ago
Joint Dimensionality Reduction, Classification and Segmentation of Hyperspectral Images
Dimensionality reduction, spectral classification and segmentation are the three main problems in hyperspectral image analysis. In this paper we propose a Bayesian estimation appr...
Nadia Bali, Ali Mohammad-Djafari, Adel Mohammadpou...
ICML
2009
IEEE
16 years 7 months ago
Near-Bayesian exploration in polynomial time
We consider the exploration/exploitation problem in reinforcement learning (RL). The Bayesian approach to model-based RL offers an elegant solution to this problem, by considering...
J. Zico Kolter, Andrew Y. Ng
ISBI
2009
IEEE
16 years 1 months ago
Improving M/EEG Source Localization with an Inter-Condition Sparse Prior
The inverse problem with distributed dipoles models in M/EEG is strongly ill-posed requiring to set priors on the solution. Most common priors are based on a convenient ℓ2 norm....
Alexandre Gramfort, Matthieu Kowalski
ICCSA
2009
Springer
16 years 1 months ago
Designing Data Warehouses for Geographic OLAP Querying by Using MDA
Data aggregation in Geographic Information Systems (GIS) is a desirable feature, spatial data are integrated in OLAP engines for this purpose. However, the development and operatio...
Octavio Glorio, Juan Trujillo