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» Statistical Modeling for Circuit Simulation
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82
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PAMI
2008
140views more  PAMI 2008»
15 years 22 days ago
Simplifying Mixture Models Using the Unscented Transform
Mixture of Gaussians (MoG) model is a useful tool in statistical learning. In many learning processes that are based on mixture models, computational requirements are very demandin...
Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfus...
106
Voted
WSC
2000
15 years 2 months ago
Mathematical programming models of discrete event system dynamics
Analytical models for the dynamics of some discrete event systems are introduced where the system trajectories are solutions to linear and mixed-integer programs. 1 BACKGROUND The...
Lee Schruben
68
Voted
ISBI
2004
IEEE
16 years 1 months ago
Alternating Minimization Algorithm for Dual Energy X-ray CT
We present a method for obtaining quantitative images from dual energy X-ray CT measurements. We adopt a statistical model for the data and reconstruct images by maximizing the lo...
Joseph A. O'Sullivan, Jasenka Benac, Jeffrey F. Wi...
71
Voted
ECCV
2002
Springer
16 years 2 months ago
Parameter Estimates for a Pencil of Lines: Bounds and Estimators
Estimating the parameters of a pencil of lines is addressed. A statistical model for the measurements is developed, from which the Cramer Rao lower bound is determined. An estimato...
Gavriel Speyer, Michael Werman
101
Voted
GECCO
2008
Springer
128views Optimization» more  GECCO 2008»
15 years 1 months ago
Discriminating self from non-self with finite mixtures of multivariate Bernoulli distributions
Affinity functions are the core components in negative selection to discriminate self from non-self. It has been shown that affinity functions such as the r-contiguous distance an...
Thomas Stibor