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» Model Selection and Error Estimation
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ICPR
2002
IEEE
14 years 11 months ago
The Economics of Classification: Error vs. Complexity
Although usually classifier error is the main concern in publications, in real applications classifier evaluation complexity may play a large role as well. In this paper, a simple...
Dick de Ridder, Elzbieta Pekalska, Robert P. W. Du...
IFIP
2004
Springer
14 years 3 months ago
BER Estimation for HiperLAN/2
This paper presents a method to estimate the bit error rate (BER) of the wireless channel based on statistical analysis of the soft output of the receiver only. In HiperLAN/2 sever...
Lodewijk T. Smit, Gerard J. M. Smit, Johann Hurink...
MICCAI
2007
Springer
14 years 11 months ago
Signal LMMSE Estimation from Multiple Samples in MRI and DT-MRI
A method to estimate the magnitude MR data from several noisy samples is presented. It is based on the Linear Minimum Mean Squared Error (LMMSE) estimator for the Rician noise mode...
Carl-Fredrik Westin, Carlos Alberola-López,...
ICISP
2010
Springer
13 years 8 months ago
Correction of Left Ventricle Strain Signals Estimated from Tagged MR Images
Strain measurement is a quantity used for assessing the regional function of the left ventricular (LV) of the heart. They are computed by tracking the motion of the non-invasive, ...
Mina E. Khalil, Ahmed S. Fahmy, Nael F. Osman
CVPR
2010
IEEE
13 years 8 months ago
Multi-structure model selection via kernel optimisation
Our goal is to fit the multiple instances (or structures) of a generic model existing in data. Here we propose a novel model selection scheme to estimate the number of genuine str...
Tat-Jun Chin, David Suter, Hanzi Wang