180 search results - page 17 / 36 » Relational Graph Labelling Using Learning Techniques and Mar... |
PAMI
2008
14 years 9 months ago
2008
We address the issue of classifying complex data. We focus on three main sources of complexity, namely, the high dimensionality of the observed data, the dependencies between these...
ECCV
2008
Springer
15 years 11 months ago
2008
Springer
Many recent techniques for low-level vision problems such as image denoising are formulated in terms of Markov random field (MRF) or conditional random field (CRF) models. Nonethel...
CVPR
2005
IEEE
15 years 11 months ago
2005
IEEE
We develop a framework for learning generic, expressive image priors that capture the statistics of natural scenes and can be used for a variety of machine vision tasks. The appro...
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
In many real-world domains, undirected graphical models such as Markov random fields provide a more natural representation of the dependency structure than directed graphical mode...
BMVC
2010
14 years 7 months ago
2010
Markov random field pixel labelling is often used to obtain image segmentations in which each segment or region is labelled according to its attributes such as colour or texture. ...