22 search results - page 2 / 5 » Object Localization with Boosting and Weak Supervision for G... |
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...
ECCV
2006
Springer
14 years 7 months ago
2006
Springer
Abstract. In this paper we investigate a new method of learning partbased models for visual object recognition, from training data that only provides information about class member...
ACCV
2010
Springer
13 years 18 days ago
2010
Springer
Abstract. In this paper we introduce a new representation for shapebased object class detection. This representation is based on very sparse and slightly flexible configurations of...
ICCV
2009
IEEE
14 years 10 months ago
2009
IEEE
Visual categorization problems, such as object classification or action recognition,
are increasingly often approached using a detection strategy: a classifier function
is first ...
CVPR
2005
IEEE
13 years 11 months ago
2005
IEEE
In this paper, we propose a novel learning method, called Jensen-Shannon Boosting (JSBoost) and demonstrate its application to object recognition. JSBoost incorporates Jensen-Shan...