55 search results - page 6 / 11 » Online Learning Asymmetric Boosted Classifiers for Object De... |
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
In this paper, we present a learning procedure called probabilistic boosting network (PBN) for joint real-time object detection and pose estimation. Grounded on the law of total p...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
The state-of-the-art object detection algorithm learns a binary classifier to differentiate the foreground object from the background. Since the detection algorithm exhaustively s...
ICCV
2009
IEEE
14 years 1 months ago
2009
IEEE
A new learning strategy for object detection is presented.
The proposed scheme forgoes the need to train a collection
of detectors dedicated to homogeneous families of poses,
an...
ECCV
2004
Springer
14 years 9 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...
ICCV
2005
IEEE
14 years 9 months ago
2005
IEEE
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...