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Found 4 papers, 0 papers with code
Fixed-point iterations for several dissimilarity measure barycenters in the Gaussian case
In target tracking and sensor fusion contexts it is not unusual to deal with a large number of Gaussian densities that encode the available information (multiple hypotheses), as in applications where many sensors, affected by clutter or multimodal noise, take measurements on the same scene.
An Approximate MSE Expression for Maximum Likelihood and Other Implicitly Defined Estimators of Non-Random Parameters (extended version)
An implicitly defined estimator (IDE) declares the minimizer/maximizer of a selected cost/reward function as the parameter estimate.
Bayesian Inference via Approximation of Log-likelihood for Priors in Exponential Family
The logarithm of the likelihood function is linearized with respect to the sufficient statistic of the prior distribution in exponential family such that the posterior obtains the same exponential family form as the prior.
Gaussian Mixture Reduction Using Reverse Kullback-Leibler Divergence
The results indicate that the performance and computational complexity of the proposed approach make it an efficient alternative to existing mixture reduction methods.
