486 search results - page 7 / 98 » Boosting and Hard-Core Sets |
94
Voted
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
AdaBoost.OC has shown to be an effective method in boosting "weak" binary classifiers for multi-class learning. It employs the Error Correcting Output Code (ECOC) method...
92
Voted
SSPR
2000
Springer
15 years 1 months ago
2000
Springer
To improve weak classifiers bagging and boosting could be used. These techniques are based on combining classifiers. Usually, a simple majority vote or a weighted majority vote are...
ACCV
2009
Springer
15 years 4 months ago
2009
Springer
Face recognition using image-set or video sequence as input tends to be more robust since image-set or video sequence provides much more information than single snapshot about the ...
77
Voted
ILP
2003
Springer
15 years 2 months ago
2003
Springer
Boosting has established itself as a successful technique for decreasing the generalization error of classification learners by basing predictions on ensembles of hypotheses. Whil...
90
Voted
TSP
2008
14 years 9 months ago
2008
The rapid developing area of compressed sensing suggests that a sparse vector lying in a high dimensional space can be accurately and efficiently recovered from only a small set of...