425 search results - page 5 / 85 » A Semi-Supervised Gaussian Mixture Model for Image Segmentat... |
CAIP
2007
Springer
14 years 27 days ago
2007
Springer
— Background subtraction is a method commonly used to segment objects of interest in image sequences. By comparing new frames to a background model, regions of interest can be fo...
ICIP
2009
IEEE
13 years 4 months ago
2009
IEEE
The Expectation-Maximization (EM) algorithm is a popular tool in statistical estimation problems involving incomplete data or in problems which can be posed in a similar form, suc...
MICCAI
2000
Springer
13 years 10 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...
CIVR
2008
Springer
13 years 8 months ago
2008
Springer
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
CVPR
2008
IEEE
14 years 8 months ago
2008
IEEE
A new hierarchical Bayesian model is proposed for image segmentation based on Gaussian mixture models (GMM) with a prior enforcing spatial smoothness. According to this prior, the...