This week Jeff Bergman discussed the Adaptive Boosting and it's role as a technique for combining a number of “weak” classifiers to make a “strong” classifier.
The paper discussed was
A Short Introduction to Boosting
By Yoav Freund Robert E. Schapire
AT&T Labs Research
www.site.uottawa.ca/~stan/csi5387/boost-tut-ppr.pdf
and the following presentation was used as reference.
http://cmp.felk.cvut.cz/~sochmj1/adaboost_talk.pdf
Also, discussed was the successful application of AdaBoost to problem of Face Detection
in the classic paper, Rapid Object Detection using a Boosted Cascade of Simple Features.
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