FAU Lecture Notes in Pattern Recognition
Supervised and Unsupervised Learning in a single SVM?!
Laplacian Support Vector Machines
These are the lecture notes for FAU’s YouTube Lecture “Pattern Recognition”. This is a full transcript of the lecture video & matching slides. The sources for the slides are available here. We hope, you enjoy this as much as the videos. This transcript was almost entirely machine generated using AutoBlog and only minor manual modifications were performed. If you spot mistakes, please let us know!
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Welcome back to Pattern Recognition! Today we want to talk a bit about the Laplacian Support Vector Machines. I think this is a pretty cool method because it allows you to implement machine learning in domains where you have labeled and unlabeled data and combine it with techniques from manifold learning and dimensionality reduction. I think it’s a bit exotic, still, it’s an exciting technique to be presented here in this video.
