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PR
2002
108views more  PR 2002»
13 years 7 months ago
Hyperparameter estimation for satellite image restoration using a MCMC maximum-likelihood method
The satellite image deconvolution problem is ill-posed and must be regularized. Herein, we use an edge-preserving regularization model using a ' function, involving two hyper...
André Jalobeanu, Laure Blanc-Féraud,...
IJCNN
2007
IEEE
14 years 2 months ago
Probability Density Function Estimation Using Orthogonal Forward Regression
— Using the classical Parzen window estimate as the target function, the kernel density estimation is formulated as a regression problem and the orthogonal forward regression tec...
Sheng Chen, Xia Hong, Chris J. Harris
AAAI
2006
13 years 9 months ago
Bayesian Calibration for Monte Carlo Localization
Localization is a fundamental challenge for autonomous robotics. Although accurate and efficient techniques now exist for solving this problem, they require explicit probabilistic...
Armita Kaboli, Michael H. Bowling, Petr Musí...
ICDE
2004
IEEE
94views Database» more  ICDE 2004»
14 years 9 months ago
A Probabilistic Approach to Metasearching with Adaptive Probing
An ever increasing amount of valuable information is stored in Web databases, "hidden" behind search interfaces. To save the user's effort in manually exploring eac...
Zhenyu Liu, Chang Luo, Junghoo Cho, Wesley W. Chu
ARTMED
2007
347views more  ARTMED 2007»
13 years 8 months ago
A combined MRI and MRSI based multiclass system for brain tumour recognition using LS-SVMs with class probabilities and feature
Objective: This study investigates the use of automated pattern recognition methods on magnetic resonance data with the ultimate goal to assist clinicians in the diagnosis of brai...
Jan Luts, Arend Heerschap, Johan A. K. Suykens, Sa...