417 search results - page 12 / 84 » Supervised Image Segmentation Using Markov Random Fields |
ICPR
2002
IEEE
15 years 2 months ago
2002
IEEE
In this paper, we propose a new recognition method of lung nodules from X-ray CT images using 3D Markov random field(MRF) models. Pathological shadow candidates are detected by a...
ICPR
2004
IEEE
15 years 10 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 ...
103
Voted
COLING
2008
14 years 11 months ago
2008
This paper explores the use of the homotopy method for training a semi-supervised Hidden Markov Model (HMM) used for sequence labeling. We provide a novel polynomial-time algorith...
ICPR
2002
IEEE
15 years 10 months ago
2002
IEEE
Markov Random Fields (MRFs) are proposed as viable stochastic models for the spatial distribution of gray level intensities for images of human faces. These models are trained usi...
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
A key aspect of semantic image segmentation is to integrate local and global features for the prediction of local segment labels. We present an approach to multi-class segmentatio...