19 search results - page 2 / 4 » MIML: A Framework for Learning with Ambiguous Objects |
ICCV
2007
IEEE
14 years 8 months ago
2007
IEEE
In the task of visual object categorization, semantic context can play the very important role of reducing ambiguity in objects' visual appearance. In this work we propose to...
CVPR
2011
IEEE
12 years 10 months ago
2011
IEEE
We consider a special type of multi-label learning where class assignments of training examples are incomplete. As an example, an instance whose true class assignment is (c1, c2, ...
CVPR
2006
IEEE
14 years 10 days ago
2006
IEEE
This paper proposes a novel approach for multi-view multi-pose object detection using discriminative shapebased exemplars. The key idea underlying this method is motivated by nume...
WWW
2008
ACM
14 years 7 months ago
2008
ACM
Name ambiguity problem has been a challenging issue for a long history. In this paper, we intend to make a thorough investigation of the whole problem. Specifically, we formalize ...
ECCV
2008
Springer
14 years 8 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...