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… (More)
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Papers overview

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Highly Cited
2010
Highly Cited
2010
This paper presents a method for automated vessel segmentation in retinal images. For each pixel in the field of view of the… (More)
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Highly Cited
2008
Highly Cited
2008
The use of SVM (Support Vector Machine) as component classifier in AdaBoost may seem like going against the grain of the Boosting… (More)
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Highly Cited
2008
Highly Cited
2008
This paper presents a novel ensemble classifier generation technique RotBoost, which is constructed by combining Rotation Forest… (More)
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Highly Cited
2005
Highly Cited
2005
Boosting has been a very successful technique for solving the two-class classification problem. In going from two-class to multi… (More)
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Highly Cited
2005
Highly Cited
2005
Boosting is a technique of combining a set weak classifiers to form one high-performance prediction rule. Boosting was… (More)
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Highly Cited
2005
Highly Cited
2005
This paper addresses the problem of classifying places in the environment of a mobile robot into semantic categories. We believe… (More)
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Highly Cited
2005
Highly Cited
2005
This paper presents a real-time vision-based vehicle's rear detection system using gradient based methods and Adaboost… (More)
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Highly Cited
2001
Highly Cited
2001
Recently ensemble methods like ADABOOST have been applied successfully in many problems, while seemingly defying the problems of… (More)
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Highly Cited
2001
Highly Cited
2001
This paper develops a new approach for extremely fast detection in domains where the distribution of positive and negative… (More)
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Highly Cited
2000
Highly Cited
2000
Recent experiments and theoretical studies show that AdaBoost can over t in the limit of large time. If running the algorithm… (More)
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