Month: June 2012
Faster dot product for SVM
If you’ve ever used SVM for classification of 3D images, you’re probably a big fan of the kernel trick as it improves SVM performance significantly when working with such huge sets of features. I’m working in neuroscience at the moment and I think it’s fair to say that using SVM […]
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