Pattern Recognition 1: Introduction - KTH
Pattern Recognition 1: Introduction - KTH
Pattern Recognition 1: Introduction - KTH
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
Classification<br />
Summary<br />
Intro<br />
Example<br />
Probability Density<br />
General Probability Density: Gaussian Mixture (1-dim)<br />
0.4<br />
0.35<br />
0.3<br />
Prob. Density<br />
0.25<br />
0.2<br />
0.15<br />
0.1<br />
0.05<br />
0<br />
−2 0 2 4 6<br />
x<br />
Arne Leijon<br />
<strong>Pattern</strong> <strong>Recognition</strong> 1: <strong>Introduction</strong>