I'm trying to write a new computer vision textbook. I'm going to post updated versions here as I do so. The plan is to first teach probability and machine learning and then present each chapter as a different model with associated learning and inference algorithms.
Tuesday, July 6, 2010
Editing...
Back from vacation... and back to working on the generative models chapter. Spent most of today trying to make the section on Mixtures of Gaussians somewhat more comprehensible. I think its gradually getting better. I'm slightly frustrated by the fact that I can't really explain the EM algorithm properly without ruining the flow of the chapter. The result is that the description of the fitting algorithm for mixtures of Gaussians is a bit unsatisfying. But I think the alternative is worse...
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