7. Hidden Markov Models (Parte 2) (pdf, it, 413 KB, 4/28/10)
7. Hidden Markov Models (Parte 2) (pdf, it, 413 KB, 4/28/10)
7. Hidden Markov Models (Parte 2) (pdf, it, 413 KB, 4/28/10)
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Discriminative classification<br />
Standard HMM classification: train one HMM per<br />
class and apply the Bayes rule<br />
sequence<br />
trained HMMs<br />
λ 1<br />
λ 2<br />
...<br />
λ N<br />
Bayes rule<br />
class = arg maxi P(O| λi) Discriminative classification<br />
Idea of discriminative classification: using trained<br />
HMMs to derive a feature space, where a<br />
discriminative classifiers is trained<br />
sequence<br />
trained HMMs<br />
λ 1<br />
λ 2<br />
...<br />
λ N<br />
feature vector discriminative<br />
x1 ,x2 ,x3 ,...,xK vector-based<br />
classifier<br />
78<br />
79<br />
16
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