137 search results - page 2 / 28 » A Supervised Learning Framework for Generic Object Detection... |
ECCV
2010
Springer
13 years 10 months ago
2010
Springer
Abstract. We describe an efficient approach to construct shape models composed of contour parts with partially-supervised learning. The proposed approach can easily transfer parts ...
ECCV
2004
Springer
14 years 7 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...
ICMCS
2005
IEEE
13 years 11 months ago
2005
IEEE
In this paper we present a novel framework for generic object class detection by integrating Kernel PCA with AdaBoost. The classifier obtained in this way is invariant to changes...
CVPR
2005
IEEE
14 years 7 months ago
2005
IEEE
Object detection in aerial imagery has been well studied in computer vision for years. However, given the complexity of large variations of the appearance of the object and the ba...
ICCV
2005
IEEE
13 years 11 months ago
2005
IEEE
We present a novel categorical object detection scheme that uses only local contour-based features. A two-stage, partially supervised learning architecture is proposed: a rudiment...