Lecture 15 - Stanford Vision Lab
Lecture 15 - Stanford Vision Lab
Lecture 15 - Stanford Vision Lab
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the Naïve Bayes model<br />
c<br />
w<br />
N<br />
Graphical model<br />
c<br />
<br />
arg max<br />
c<br />
p( c | w)<br />
<br />
p( c)<br />
p(<br />
w | c)<br />
<br />
p(<br />
c)<br />
N<br />
<br />
n1<br />
p(<br />
w n<br />
| c)<br />
Object class<br />
decision<br />
Likelihood of ith visual word<br />
given the class<br />
Estimated by empirical frequencies of code<br />
words in images from a given class<br />
<strong>Lecture</strong> <strong>15</strong> -<br />
14‐Nov‐11