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AdaBoost

Known as: Adaboosting 
AdaBoost, short for "Adaptive Boosting", is a machine learning meta-algorithm formulated by Yoav Freund and Robert Schapire who won the Gödel Prize… 
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Related topics

Related topics

34 relations
Adaptive algorithmBackfitting algorithmBackpropagationBag-of-words model in computer vision

Broader (1)

Ensemble learning

Papers overview

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Highly Cited
2013
Highly Cited
2013
Boosted key-frame selection and correlated pyramidal motion-feature representation for human action recognition
Highly Cited
2012
Highly Cited
2012
Regression-based intensity estimation of facial action units
Highly Cited
2011
Highly Cited
2011
Author gender identification from text
Highly Cited
2011
Highly Cited
2011
AdaBoost learning for fabric defect detection based on HOG and SVM
In this paper, a novel fabric detect detection scheme based on HOG and SVM is proposed. Firstly, each block-based feature of the… 
Highly Cited
2011
Highly Cited
2011
Multiple classifier architectures and their application to credit risk assessment
Highly Cited
2010
Highly Cited
2010
Adaptive real-time video-tracking for arbitrary objects
In this paper, we present a visual object tracker for mobile systems that is able to specialize to individual objects during… 
Highly Cited
2009
Highly Cited
2009
Driver's cognitive distraction detection using physiological features by the adaboost
Effects of driver's states adaptive driving support systems is highly expected for the prevention of traffic accidents. In order… 
Highly Cited
2007
Highly Cited
2007
Naked image detection based on adaptive and extensible skin color model
Highly Cited
2005
Highly Cited
2005
Semantic Place Classification of Indoor Environments with Mobile Robots Using Boosting
Indoor environments can typically be divided into places with different functionalities like kitchens, offices, or seminar rooms… 
Highly Cited
2004
Highly Cited
2004
Automatic Arabic Document Categorization Based on the Naïve Bayes Algorithm
This paper deals with automatic classification of Arabic web documents. Such a classification is very useful for affording… 
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