@AnimaAnandkumar I'm curious if you're familiar with Medioni's tensor voting work, if so what do you think? Seems pretty diff from your work
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@AnimaAnandkumar started in computer vision, but here's an ML paper http://www.cs.stevens.edu/~mordohai/public/Mordohai_ManifoldLearning10.pdf … sample vision paper too: http://www.cse.unr.edu/~mircea/Publications/mn_pami05.pdf …
@dfarmer These are 3-D or 4-D tensor fields which can be represented as 3*3 or 4*4 matrices. Our tensors can have millions or more dim.
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@AnimaAnandkumar is that more a function of domain though? Vision vs e.g., social networks, etc. First paper has examples in eg 22D.Thanks. Twitter will use this to make your timeline better. UndoUndo
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@AnimaAnandkumar anyway I'll read some of your papers. I don't suppose you can suggest a good starting point? - Show replies
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