163 search results - page 1 / 33 » Generic Object Recognition with Boosting |
SCIA
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. This paper deals, for the first time, with an analysis of localization capabilities of weakly supervised categorization systems. Most existing categorization approaches ...
ECCV
2004
Springer
14 years 6 months ago
2004
Springer
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
PAMI
2006
13 years 4 months ago
2006
This paper explores the power and the limitations of weakly supervised categorization. We present a complete framework that starts with the extraction of various local regions of e...
DAGM
2008
Springer
13 years 6 months ago
2008
Springer
In this paper a novel and generic approach for model-based data clustering in a boosting framework is presented. This method uses the forward stagewise additive modeling to learn t...
ICPR
2004
IEEE
14 years 5 months ago
2004
IEEE
: A new method is presented to learn object categories from unlabeled and unsegmented images for generic object recognition. We assume that each object can be characterized by a se...