522 search results - page 1 / 105 » Two-Stage Learning Kernel Algorithms |
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
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...
MICAI
2009
Springer
13 years 11 months ago
2009
Springer
Reinforcement Learning is a commonly used technique in robotics, however, traditional algorithms are unable to handle large amounts of data coming from the robot’s sensors, requi...
ARTMED
1999
13 years 4 months ago
1999
We present a Two-Stage Machine Learning (ML) model as a data mining method to develop practice guidelines and apply it to the problem of dementia staging. Dementia staging in clin...
ECCV
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. The sparse representation has been widely used in many areas and utilized for visual tracking. Tracking with sparse representation is formulated as searching for samples ...