290 search results - page 35 / 58 » Learning with Deep Cascades |
AUSAI
2005
Springer
14 years 3 months ago
2005
Springer
: In order to scale to problems with large or continuous state-spaces, reinforcement learning algorithms need to be combined with function approximation techniques. The majority of...
ICDM
2006
IEEE
14 years 3 months ago
2006
IEEE
Under-sampling is a class-imbalance learning method which uses only a subset of major class examples and thus is very efficient. The main deficiency is that many major class exa...
CVPR
2006
IEEE
14 years 12 months ago
2006
IEEE
Object detection can be posted as those classification tasks where the rare positive patterns are to be distinguished from the enormous negative patterns. To avoid the danger of m...
ICPR
2006
IEEE
14 years 11 months ago
2006
IEEE
This paper proposes a license plate detection algorithm using both global statistical features and local Haar-like features. Classifiers using global statistical features are cons...
ICML
2009
IEEE
14 years 10 months ago
2009
IEEE
Humans and animals learn much better when the examples are not randomly presented but organized in a meaningful order which illustrates gradually more concepts, and gradually more ...