14 search results - page 1 / 3 » Using a Bayesian Posterior Density in the Design of Perturba... |
CIBCB
2005
IEEE
13 years 10 months ago
2005
IEEE
DIAGRAMS
2004
Springer
13 years 10 months ago
2004
Springer
The need for Bayesian inference arises in military intelligence, medical diagnosis and many other practical applications. The problem is that human inferences are generally conserv...
CVPR
2004
IEEE
14 years 6 months ago
2004
IEEE
We propose a new Bayesian approach to object-based image retrieval with relevance feedback. Although estimating the object posterior probability density from few examples seems in...
TIP
2010
12 years 11 months ago
2010
Particle filters (PFs) are Bayesian filters capable of modeling nonlinear, non-Gaussian, and nonstationary dynamical systems. Recent research in PFs has investigated ways to approp...
IJCNN
2006
IEEE
13 years 11 months ago
2006
IEEE
— Adaptive filtering is normally utilized to estimate system states or outputs from continuous valued observations, and it is of limited use when the observations are discrete e...