265 search results - page 7 / 53 » Discriminative Learning of Max-Sum Classifiers |
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
Learning a discriminant becomes substantially more difficult when the datasets are high-dimensional and the available samples are few. This is often the case in computer vision an...
AUSAI
2006
Springer
14 years 1 months ago
2006
Springer
Different evaluation measures assess different characteristics of machine learning algorithms. The empirical evaluation of algorithms and classifiers is a matter of on-going debat...
ICCV
2005
IEEE
14 years 11 months ago
2005
IEEE
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
CVPR
2009
IEEE
15 years 5 months ago
2009
IEEE
Most modern computer vision systems for high-level
tasks, such as image classification, object recognition and
segmentation, are based on learning algorithms that are
able to se...
AAAI
2008
14 years 4 days ago
2008
Classification is one of the most fundamental problems in machine learning, which aims to separate the data from different classes as far away as possible. A common way to get a g...