JMLR
2012
12 years 4 months ago
2012
Reducing the number of labeled examples required to learn accurate prediction models is an important problem in structured output prediction. In this paper we propose a new transd...
EMMCVPR
2011
Springer
13 years 1 months ago
2011
Springer
Traditional approaches to Multiple-Instance Learning (MIL) operate under the assumption that the instances of a bag are generated independently, and therefore typically learn an in...
IJCV
2007
14 years 1 months ago
2007
Challenging object detection and segmentation tasks can be facilitated by the availability of a reference object. However, accounting for possible transformations between the diff...
PR
2006
14 years 1 months ago
2006
The main goal of this work is to compare pyramidal structures proposed to solve segmentation tasks. Segmentation algorithms based on regular and irregular pyramids are described, ...
ICCV
2007
IEEE
15 years 3 months ago
2007
IEEE
Indisputably Normalized Cuts is one of the most popular segmentation algorithms in computer vision. It has been applied to a wide range of segmentation tasks with great success. A...
CVPR
2006
IEEE
15 years 3 months ago
2006
IEEE
Shape symmetry is an important cue for image understanding. In the absence of more detailed prior shape information, segmentation can be significantly facilitated by symmetry. How...