110 search results - page 18 / 22 » Boosting a Weak Learning Algorithm by Majority |
KAIS
2010
13 years 5 months ago
2010
Real world data mining applications must address the issue of learning from imbalanced data sets. The problem occurs when the number of instances in one class greatly outnumbers t...
ECCV
2004
Springer
14 years 9 months ago
2004
Springer
The problem of tracking a varying number of non-rigid objects has two major difficulties. First, the observation models and target distributions can be highly non-linear and non-Ga...
GFKL
2007
Springer
14 years 1 months ago
2007
Springer
Number and date expressions are essential information items in corpora and therefore play a major role in various text mining applications. However, so far number expressions were ...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
In this paper, a novel feature named Adaptive Contour
Feature (ACF) is proposed for human detection and segmentation.
This feature consists of a chain of a number of
granules in...
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
Ensemble methods such as bootstrap, bagging or boosting have had a considerable impact on recent developments in machine learning, pattern recognition and computer vision. Theoret...