216 search results - page 10 / 44 » Learning Minimum Volume Sets |
ECCV
2006
Springer
14 years 11 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...
ICALP
2004
Springer
14 years 3 months ago
2004
Springer
We consider the problem of learning a labeled graph from a given family of graphs on n vertices in a model where the only allowed operation is to query whether a set of vertices i...
ICML
2000
IEEE
14 years 10 months ago
2000
IEEE
Most machine learning algorithms are lazy: they extract from the training set the minimum information needed to predict its labels. Unfortunately, this often leads to models that ...
ICCV
2009
IEEE
15 years 2 months ago
2009
IEEE
Graph-cuts based algorithms are effective for a variety
of segmentation tasks in computer vision. Ongoing research
is focused toward making the algorithms even more general,
as ...
SDM
2007
SIAM
13 years 11 months ago
2007
SIAM
With recent advances in sensory and mobile computing technology, enormous amounts of data about moving objects are being collected. One important application with such data is aut...