Statistics and Data Science Seminar
Shmuel Friedland
University of Illinois at Chicago
Completion of missing entries in matrices and tensors
Abstract: In many instances in measuring multidimensional data, as matrices and tensors, one confronts the following
problems: noisy data, missing entries and data reduction.
There are many statistical and mathematical methods to deal with these problems.
In this talk we survey some of the known methods and expand on the methods that the speaker was working on.
A variant of this talk is available at
http://homepages.math.uic.edu/$\sim$friedlan/complmattenSep11.pdf
Wednesday January 11, 2012 at 4:15 PM in SEO 636