activity
20162025
most citedConsistency issues in Gaussian Mixture Models reduction algorithms

9 citations · 13 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2025

A Modified Adaptive Data-Enabled Policy Optimization Control to Resolve State Perturbations

Mojtaba Kaheni, Niklas Persson, Vittorio De Iuliis +2

This paper proposes modifications to the data-enabled policy optimization (DeePO) algorithm to mitigate state perturbations. DeePO is an adaptive, data-driven approach designed to…

stat.AP2022★ 1 cited

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…

stat.CO2022★ 2 cited

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…

stat.ML2021★ 9 cited

Consistency issues in Gaussian Mixture Models reduction algorithms

A. D'Ortenzio, C. Manes

In many contexts Gaussian Mixtures (GM) are used to approximate probability distributions, possibly time-varying. In some applications the number of GM components exponentially inc…

math.OC2016★ 1 cited

Equivalence Notions for Discrete-Time Stochastic Linear Control Systems

Giordano Pola, Costanzo Manes, Arjan J. van der Schaft +1

In this paper we propose definitions of equivalence via stochastic bisimulation and of equivalence of stochastic external behavior for the class of discrete-time stochastic linear…