Representation Theory in Machine Learning

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

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.

Where: 
ML 208