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JMLR
2012
6 years 9 months ago
Transductive Learning of Structural SVMs via Prior Knowledge Constraints
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...
Chun-Nam Yu
EMMCVPR
2011
Springer
7 years 7 months ago
Multiple-Instance Learning with Structured Bag Models
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...
Jonathan Warrell, Philip H. S. Torr
IJCV
2007
189views more  IJCV 2007»
8 years 7 months ago
Prior-based Segmentation and Shape Registration in the Presence of Perspective Distortion
Challenging object detection and segmentation tasks can be facilitated by the availability of a reference object. However, accounting for possible transformations between the diff...
Tammy Riklin-Raviv, Nahum Kiryati, Nir A. Sochen
PR
2006
107views more  PR 2006»
8 years 7 months ago
Pyramid segmentation algorithms revisited
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, ...
Rebeca Marfil, Luis Molina-Tanco, Antonio Bandera,...
ICCV
2007
IEEE
9 years 9 months ago
Normalized Cuts Revisited: A Reformulation for Segmentation with Linear Grouping Constraints
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...
Anders P. Eriksson, Carl Olsson, Fredrik Kahl
CVPR
2006
IEEE
9 years 9 months ago
Segmentation by Level Sets and Symmetry
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...
Tammy Riklin-Raviv, Nahum Kiryati, Nir A. Sochen
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