1443 search results - page 28 / 289 » Learning Generative Models via Discriminative Approaches |
ECCV
2006
Springer
14 years 10 months ago
2006
Springer
Abstract. Foreground and background segmentation is a typical problem in computer vision and medical imaging. In this paper, we propose a new learning based approach for 3D segment...
ICARCV
2008
IEEE
14 years 3 months ago
2008
IEEE
—This paper proposes a set of methods for building informative and robust feature point representations, used for accurately labeling points in a 3D point cloud, based on the typ...
TMI
2002
13 years 8 months ago
2002
This paper presents a fully automated segmentation method for medical images. The goal is to localize and parameterize a variety of types of structure in these images for subsequen...
ICCV
2007
IEEE
14 years 10 months ago
2007
IEEE
The Active Appearance Model (AAM) is a powerful generative method for modeling and registering deformable visual objects. Most methods for AAM fitting utilize a linear parameter u...
ACL
2006
13 years 10 months ago
2006
For many years, statistical machine translation relied on generative models to provide bilingual word alignments. In 2005, several independent efforts showed that discriminative m...