1809 search results - page 129 / 362 » Topic Modeling Ensembles |
140
Voted
ECCV
2006
Springer
16 years 4 months ago
2006
Springer
Cascades of boosted ensembles have become popular in the object detection community following their highly successful introduction in the face detector of Viola and Jones [1]. In t...
139
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
In many prediction tasks, selecting relevant features is essential for achieving good generalization performance. Most feature selection algorithms consider all features to be a p...
107
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ICASSP
2008
IEEE
15 years 9 months ago
2008
IEEE
Bagging is an ensemble method that uses random resampling of a dataset to construct models. In classification scenarios, the random resampling procedure in bagging induces some c...
148
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MM
2005
ACM
15 years 8 months ago
2005
ACM
As one of the important research areas of multimodal interaction, sign language recognition (SLR) has attracted increasing interest. In SLR, especially on medium or large vocabula...
133
Voted
EVOW
2003
Springer
15 years 7 months ago
2003
Springer
Genetic programming (GP) based data fusion and AdaBoost can both improve in vitro prediction of Cytochrome P450 activity by combining artificial neural networks (ANN). Pharmaceuti...