103 search results - page 1 / 21 » Just-in-Time Adaptive Classifiers - Part II: Designing the C... |
ICML
2006
IEEE
14 years 5 months ago
2006
IEEE
Locally adaptive classifiers are usually superior to the use of a single global classifier. However, there are two major problems in designing locally adaptive classifiers. First,...
DAGM
2007
Springer
13 years 8 months ago
2007
Springer
Cascades of classifiers constitute an important architecture for fast object detection. While boosting of simple (weak) classifiers provides an established framework, the design of...
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
Because of the large variation across different environments, a generic classifier trained on extensive data-sets may perform sub-optimally in a particular test environment. In th...
CIKM
2010
Springer
13 years 2 months ago
2010
Springer
Deploying a classifier to large-scale systems such as the web requires careful feature design and performance evaluation. Evaluation is particularly challenging because these larg...
GECCO
2009
Springer
13 years 8 months ago
2009
Springer
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...