243 search results - page 8 / 49 » Learning Boosted Asymmetric Classifiers for Object Detection |
NIPS
2008
13 years 9 months ago
2008
We present a new co-clustering problem of images and visual features. The problem involves a set of non-object images in addition to a set of object images and features to be co-c...
PRL
2007
13 years 7 months ago
2007
Recently, boosting has come to be used widely in object-detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifier...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
Boosting based detection methods have successfully been used for robust detection of faces and pedestrians. However, a very large amount of labeled examples are required for train...
PAMI
2008
13 years 7 months ago
2008
This paper describes an object detection framework that learns the discriminative co-occurrence of multiple features. Feature co-occurrences are automatically found by Sequential F...
CVPR
2010
IEEE
13 years 11 months ago
2010
IEEE
The design of robust classifiers, which can contend with the noisy and outlier ridden datasets typical of computer vision, is studied. It is argued that such robustness requires l...