190 search results - page 6 / 38 » Markov Random Fields with Efficient Approximations |
ICIP
2007
IEEE
14 years 2 months ago
2007
IEEE
A new method for lossy compression of bilevel images based on Markov random fields (MRFs) is proposed. It preserves key structural information about the image, and then reconstru...
NIPS
2008
13 years 10 months ago
2008
Inspired by the hierarchical hidden Markov models (HHMM), we present the hierarchical semi-Markov conditional random field (HSCRF), a generalisation of embedded undirected Markov ...
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
Markov Random Field, or MRF, models are a powerful tool for modeling images. While much progress has been made in algorithms for inference in MRFs, learning the parameters of an M...
ICMCS
2009
IEEE
13 years 6 months ago
2009
IEEE
In this paper, we present a novel localized Markov random field (MRF) method based on superpixels for region segmentation. Early vision problems could be formulated as pixel label...
MICCAI
2005
Springer
14 years 9 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...