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 />
Two Gaussian Feature Probability Density Functions<br />
Women<br />
Men<br />
x 10 −3<br />
5<br />
x 10 −3<br />
5<br />
4<br />
4<br />
3<br />
3<br />
2<br />
2<br />
100 0 1<br />
80<br />
x 2<br />
= Weight / kg<br />
60<br />
150<br />
160<br />
190<br />
180<br />
170<br />
x 1<br />
= Height / cm<br />
200<br />
100 0 1<br />
80<br />
x 2<br />
= Weight / kg<br />
60<br />
150<br />
160<br />
190<br />
180<br />
170<br />
x 1<br />
= Height / cm<br />
200<br />
Arne Leijon<br />
<strong>Pattern</strong> <strong>Recognition</strong> 1: <strong>Introduction</strong>
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