Pattern Recognition 1: Introduction - KTH
Pattern Recognition 1: Introduction - KTH
Pattern Recognition 1: Introduction - KTH
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Classification<br />
Summary<br />
Intro<br />
Example<br />
Probability Density<br />
General Probability Density: Gaussian Mixture (K-dim)<br />
f X (x) =<br />
MX<br />
m=1<br />
w m<br />
1<br />
(2⇡) K/2p det C m<br />
e 1 2 (x µ m )T C 1<br />
m (x µ m )<br />
Arne Leijon<br />
<strong>Pattern</strong> <strong>Recognition</strong> 1: <strong>Introduction</strong>
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