adaboost_tutorial

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adaboost
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介绍adaboost发展历史，原理算法，以及在人脸识别上的应用举例
Adaboost
Derek Hoiem
March 31, 2004
Outline
Background
Adaboost Algorithm
Theory/Interpretations
Practical Issues
Face detection experiments
What’s So Good About Adaboost
Improves classification accuracy
Can be used with many different classifiers
Commonly used in many areas
Simple to implement
Not prone to overfitting
A Brief History
Bootstrapping
Bagging
Boosting (Schapire 1989)
Adaboost (Schapire 1995)
Bootstrap Estimation
Repeatedly draw n samples from D
For each set of samples, estimate a
statistic
The bootstrap estimate is the mean of the
individual estimates
Used to estimate a statistic (parameter)
and its variance

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