33 search results - page 3 / 7 » A Recursive Model-Reduction Method for Approximate Inference... |
IPMI
2005
Springer
14 years 6 months ago
2005
Springer
In this paper, we study Markov Random Fields as spatial smoothing priors in fMRI detection. Relatively high noise in fMRI images presents a serious challenge for the detection algo...
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
Matching and registration of shapes is a key issue in Computer Vision, Pattern Recognition, and Medical Image Analysis. This paper presents a shape representation framework based ...
ICML
2009
IEEE
14 years 6 months ago
2009
IEEE
The inhomogeneous Poisson process is a point process that has varying intensity across its domain (usually time or space). For nonparametric Bayesian modeling, the Gaussian proces...
TSP
2008
13 years 5 months ago
2008
Abstract--We present a versatile framework for tractable computation of approximate variances in large-scale Gaussian Markov random field estimation problems. In addition to its ef...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
We introduce a novel data-driven mean-shift belief propagation
(DDMSBP) method for non-Gaussian MRFs, which
often arise in computer vision applications. With the aid
of scale sp...