The chapter on visual classification is now roughly comprehensible. As with all the other chapters, there are no references yet and the applications section is rather sketchy, but the main content should be okay. Might put in some more stuff about boosting methods, I'm not sure.
Since last time, I've also worked my way through the chapters on generative models and preprocessing trying to eliminate as many mistakes as possible. I'm going to start writing text on tracking (Kalman filter/Condensation etc.) this week.
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