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ICPR
2010
IEEE
13 years 11 months ago
A Discriminative and Heteroscedastic Linear Feature Transformation for Multiclass Classification
This paper presents a novel discriminative feature transformation, named full-rank generalized likelihood ratio discriminant analysis (fGLRDA), on the grounds of the likelihood ra...
Hung-Shin Lee, Hsin-Min Wang, Berlin Chen
IPMI
2003
Springer
14 years 1 months ago
Ideal-Observer Performance under Signal and Background Uncertainty
We use the performance of the Bayesian ideal observer as a figure of merit for hardware optimization because this observer makes optimal use of signal-detection information. Due t...
Subok Park, Matthew A. Kupinski, Eric Clarkson, Ha...
VALUETOOLS
2006
ACM
14 years 2 months ago
Splitting with weight windows to control the likelihood ratio in importance sampling
Importance sampling (IS) is the most widely used efficiency improvement method for rare-event simulation. When estimating the probability of a rare event, the IS estimator is the ...
Pierre L'Ecuyer, Bruno Tuffin