https://bugs.kde.org/show_bug.cgi?id=146288--- Comment #63 from Alex <alexjironkin gmail com> 2009-07-07 14:24:26 ---
Well from what I understand, AdaBoost is more like a framework to combine
multiple weak classifiers. The idea being many weak classifiers, maybe be
geared for different parts, like eyes, lips etc, and combination of them is
better than a single strong classifier. For AdaBoost the problem becomes of
selecting what weak classifiers to use e.g. Haar-like features, maybe something
with wavelets, Gabor features, histograms etc.
I guess this is something to keep in mind when plug-in is at that stage.
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