25 search results - page 3 / 5 » A variational multi-view learning framework and its applicat... |
TMI
1998
13 years 4 months ago
1998
Abstract— This paper reports a novel method for fully automated segmentation that is based on description of shape and its variation using point distribution models (PDM’s). An...
ECCV
2008
Springer
14 years 7 months ago
2008
Springer
Multiple Instance Learning (MIL) provides a framework for training a discriminative classifier from data with ambiguous labels. This framework is well suited for the task of learni...
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
In this paper, we propose a general framework for fusing bottom-up segmentation with top-down object behavior classification over an image sequence. This approach is beneficial fo...
SIAMIS
2010
13 years 3 months ago
2010
Abstract. In this work, we present an approach to jointly segment a rigid object in a two-dimensional (2D) image and estimate its three-dimensional (3D) pose, using the knowledge o...
IJCV
2006
13 years 5 months ago
2006
Combinatorial graph cut algorithms have been successfully applied to a wide range of problems in vision and graphics. This paper focusses on possibly the simplest application of gr...