This paper describes a general approach to signal detection with uncertainty in signal and/or background distributions. Attention is restricted to binary ...
This paper describes a general approach to signal detection with uncertainty in signal and/or background distributions. Attention is restricted to binary ...
Bayesian signal detection plays two distinct roles in medical imaging. First, it is by definition the optimal way to detect tumors, stenoses or other ...
We present a method for obtaining unbiased signal estimates in the presence of a significant unknown background, eliminating the need for a parametric model ...
The main work of this dissertation is based on the study of the Bayesian testing for signal detection in Gaussian scale-space random field in the cases that ...
Our goal in this paper is to examine both the determin- istic effects of high-contrast backgrounds (contrast gain control mechanism) and the effects of random ...
Here we present a hidden Markov random field (HMRF) based Bayesian method for peak calling using Hi-C data. Our approach improves on prior methods by explicitly ...
This work aims at detecting a potential source, when the source moves on a random background spatially and inter-spectrally correlated. A hierarchic Bayesian ...
Feb 17, 2009 · They develop a Bayesian procedure to detect signals existing within noisy images when the image is modeled as a scale space random field.
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