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.
Wednesday, June 1, 2011
Update
Just posted a new update. Many minor bug fixes in the first 9 chapters or so. I've also worked a bit on the regression chapter - there is an expanded discussion of non-linear regression and I think I've made the sparse regression model a little clearer. I've re-written a lot of the chapter on shape models (probably the weakest chapter, I think). It's still not great but I think it is moving in the correct direction. Thanks to all of the people who have mailed me errata so far!
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