Shmuel Friedland : Completion of missing entries in matrices and tensors

Posted by Jie Yang , part of the Statistics and Data Science Seminar.

At

Jan. 11, 2012, 4:15 p.m.

In

SEO 636

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