Peekaboo

I was just reading the paper in the title ( pdf ), which Alexei Efros talked about at CVML. It's from this years ICCV. The basic idea of the paper is to do object detection by training a linear SVM on hog features for each positive example. I thought the idea was pretty cool and wanted to write something about it... and then I saw there is already a post by the first author, Tomasz Malisiewicz, in his own blog . He also discusses some of his (matlab :( ) code for non-maximum suppression. So check out his blog for more details on this cool paper :)

John Langford published a great article on his blog today: http://hunch.net/?p=1822 Don't miss out on it ;)

Today I stumbled upon metaoptimize . I am always looking for new blogs/communities/forums an this one seems very active and very in-depth. There is a stackoverflow like Q&A section with many many questions and comments on many machine learning topics. There is a lot on probabilistic modeling there which I find particularly interesting. I haven't seen any other community like this. The reason I found this community is actually that this blog was linked from there :) There is a thread on machine learning blog s that gives many more than I was aware of... I did not have the time to look into all of them but I will definitely try and follow them all :)