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Can I use the Gaussian distrib as a 'classifier'?
Posted:
Dec 22, 2010 6:12 AM


Hi all :)
I am trying to distinguish between candidates video segments in a shortlist. Say there are N number of candidates, and one of them is an important event.
Based on some training data, I am able to generate a 2dimensional Gaussian distribution in matlab. This distribution is supposed to model UNEVENTFULNESS. So, does it make sense if I just take representative data points from each candidate, and then put it into the equation of the Gaussian distribution to get a probability density measurement?
In the end, the candidate with the lowest density is considered the one to contain the desired event (since the Gaussian distrib models UNEVENTFULNESS).
Does this make sense? Can it simply be done like that?
Thanks a million!



