Representation Theory in Machine Learning

11/23/2010 - 12:15pm
11/23/2010 - 1:10pm
Risi Kondor (Caltech)

Representation theory, specifically, non-commutative Fourier transforms, have recently found several applications in learning algorithms. The talk will showcase several of these developments, including the theory of invariant image descriptors based on the non-commutative bispectrum, and various problems involving the symmetric group including multi-object tracking and ranking, as well as more classical problems, such as constructing graph invariants and solving the quadratic assignment problem.

ML 208

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