127 search results - page 13 / 26 » Markov Random Field Modelling of fMRI Data Using a Mean Fiel... |
MICCAI
2000
Springer
13 years 11 months ago
2000
Springer
This paper presents a statistical approach to aggregating speed and phase (directional) information for vascular segmentation in phase contrast magnetic resonance angiograms (PC-MR...
DAGM
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. Approaches to visual navigation, e.g. used in robotics, require computationally efficient, numerically stable, and robust methods for the estimation of ego-motion. One of...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
Many computer vision problems can be formulated in
a Bayesian framework with Markov Random Field (MRF)
or Conditional Random Field (CRF) priors. Usually, the
model assumes that ...
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
Abstract. We present a technique for learning the parameters of a continuousstate Markov random field (MRF) model of optical flow, by minimizing the training loss for a set of grou...
PKC
2011
Springer
12 years 10 months ago
2011
Springer
ded abstract of this work appears in Public Key Cryptography — PKC 2011, ed. R. Gennaro, Springer LNCS 6571 (2011), 1–16. This is the full version. We propose a linearly homom...