Optimal methods for joint detection and estimation are of interest because they provide upper bounds on observer performance, and can potentially be utilized ...

Optimal methods for joint detection and estimation are of interest because they provide upper bounds on observer performance, and can potentially be utilized ...

Aug 30, 2016 · Optimal methods for joint de- tection and estimation are of interest because they provide upper bounds on observer performance, and can ...

A unified Bayesian framework for decision rules that maximize receiver operating characteristic (ROC)-type summary curves and associated optimal decision ...

Oct 22, 2024 · The approach relies on an interpretation of ROC-type summary curves as plots of an expected utility versus an expected disutility (or penalty) ...

Optimal methods for joint detection and estimation are of interest because they provide upper bounds on observer performance, and can potentially be utilized ...

... {Optimal joint detection and estimation that maximizes ROC-type curves}, year = {2016}, number = {35}, month = {2016-09-01}, publisher = {IEEE Transactions ...

Optimal methods for joint detection and estimation are of interest because they provide upper bounds on observer performance, and can potentially be utilized ...

In this paper, we focus on modeling and solving the multi-signal joint detection and estimation fusion problem.

Abbey, “Optimal joint detection and estimation that maximizes ROC-type curves,” IEEE transactions on medical imaging, vol. 35, no. 9, pp. 2164–2173, 2016 ...