121 citations · 159 across the 9 of their papers we have counts for
9 papers
Adaptive mixture approximation for target tracking in clutter
Alessandro D'Ortenzio, Costanzo Manes, Umut Orguner
Target tracking represents a state estimation problem recurrent in many practical scenarios like air traffic control, autonomous vehicles, marine radar surveillance and so on. In a…
Fixed-point iterations for several dissimilarity measure barycenters in the Gaussian case
Alessandro D'Ortenzio, Costanzo Manes, Umut Orguner
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…
An Approximate MSE Expression for Maximum Likelihood and Other Implicitly Defined Estimators of Non-Random Parameters (extended version)
Erdal Mehmetcik, Umut Orguner, Çağatay Candan
An approximate mean square error (MSE) expression for the performance analysis of implicitly defined estimators of non-random parameters is proposed. An implicitly defined estimato…
Some Results on Tighter Bayesian Lower Bounds on the Mean-Square Error
Lucien Bacharach, Carsten Fritsche, Umut Orguner +1
In random parameter estimation, Bayesian lower bounds (BLBs) for the mean-square error have been noticed to not be tight in a number of cases, even when the sample size, or the sig…
Bayesian Inference via Approximation of Log-likelihood for Priors in Exponential Family
Tohid Ardeshiri, Umut Orguner, Fredrik Gustafsson
In this paper, a Bayesian inference technique based on Taylor series approximation of the logarithm of the likelihood function is presented. The proposed approximation is devised f…
Gaussian Mixture Reduction Using Reverse Kullback-Leibler Divergence
Tohid Ardeshiri, Umut Orguner, Emre Özkan
We propose a greedy mixture reduction algorithm which is capable of pruning mixture components as well as merging them based on the Kullback-Leibler divergence (KLD). The algorithm…