486 search results - page 11 / 98 » Boosting and Hard-Core Sets |
124
Voted
PRL
2008
15 years 8 days ago
2008
Boosting is a set of methods for the construction of classifier ensembles. The differential feature of these methods is that they allow to obtain a strong classifier from the comb...
103
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ICPR
2010
IEEE
15 years 5 months ago
2010
IEEE
This paper presents a new algorithm based on boosting for interactive object retrieval in images. Recent works propose ”online boosting” algorithms where weak classifier sets...
120
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FIMH
2009
Springer
14 years 10 months ago
2009
Springer
Cardiac magnetic resonance (MR) imaging has advanced to become a powerful diagnostic tool in clinical practice. Automatic detection of anatomic landmarks from MR images is importan...
159
Voted
ECML
2007
Springer
15 years 6 months ago
2007
Springer
Boosting methods are known to exhibit noticeable overfitting on some datasets, while being immune to overfitting on other ones. In this paper we show that standard boosting algorit...
78
Voted
ALT
2010
Springer
15 years 1 months ago
2010
Springer
Stability has been explored to study the performance of learning algorithms in recent years and it has been shown that stability is sufficient for generalization and is sufficient ...