1174 search results - page 158 / 235 » Boosting for transfer learning |
ECML
2004
Springer
14 years 3 months ago
2004
Springer
Random forests are one of the most successful ensemble methods which exhibits performance on the level of boosting and support vector machines. The method is fast, robust to noise,...
DAGM
2007
Springer
14 years 1 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...
DAGM
2009
Springer
14 years 1 months ago
2009
Springer
In this paper, we show that a better performance can be achieved by training a keypoint detector to only find those points that are suitable to the needs of the given task. We demo...
3DPVT
2004
IEEE
14 years 1 months ago
2004
IEEE
This paper proposes the use of neural network ensembles to boost the performance of a neural network based surface reconstruction algorithm. Ensemble is a very popular and powerfu...
SODA
2008
ACM
13 years 11 months ago
2008
ACM
The problem of maximizing a concave function f(x) in a simplex S can be solved approximately by a simple greedy algorithm. For given k, the algorithm can find a point x(k) on a k-...