45 search results - page 3 / 9 » Efficient Belief Propagation with Learned Higher-Order Marko... |
CVPR
2009
IEEE
15 years 23 days ago
2009
IEEE
Belief propagation (BP) is an effective algorithm for solving energy minimization problems in computer vision. However, it requires enormous memory, bandwidth, and computation beca...
ICPR
2004
IEEE
14 years 6 months ago
2004
IEEE
We propose a hybrid face recognition method that combines holistic and feature analysis-based approaches using a Markov random field (MRF) model. The face images are divided into ...
FGR
2008
IEEE
13 years 11 months ago
2008
IEEE
This paper presents an algorithm for measuring hair and face appearance in 2D images. Our approach starts by using learned mixture models of color and location information to sugg...
MICCAI
2005
Springer
14 years 6 months ago
2005
Springer
This paper introduces a novel solver, namely cross entropy (CE), into the MRF theory for medical image segmentation. The solver, which is based on the theory of rare event simulati...
ICASSP
2009
IEEE
14 years 1 days ago
2009
IEEE
Abstract –In this paper, a variational message passing framework is proposed for Markov random fields, which is computationally more efficient and admits wider applicability comp...