243 search results - page 15 / 49 » Learning Boosted Asymmetric Classifiers for Object Detection |
PAMI
2011
13 years 2 months ago
2011
—A novel framework is proposed for the design of cost-sensitive boosting algorithms. The framework is based on the identification of two necessary conditions for optimal cost-sen...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
: In many computer vision classification problems, both the error and time characterizes the quality of a decision. We show that such problems can be formalized in the framework of...
SMC
2007
IEEE
14 years 1 months ago
2007
IEEE
— The basic objective of this work is to assess the utility of two supervised learning algorithms AdaBoost and RIPPER for classifying SSH traffic from log files without using f...
FLAIRS
2006
13 years 9 months ago
2006
AdaBoost is a well known, effective technique for increasing the accuracy of learning algorithms. However, it has the potential to overfit the training set because its objective i...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
Pedestrian detection from images is an important and yet challenging task. The conventional methods usually identify human figures using image features inside the local regions. In...