New England Numerical Analysis Day 2009

University of Rhode Island
Department of Mathematics, Lippitt Hall
April 4, 2009, 9:00am-5:30pm
main conference page

Recent advancements in Nonnegative Matrix Factorization

Upendra Prasad, University of Connecticut

Nonnegative matrix factorization (NMF) is the process of finding approximate factorization of a nonnegative matrix $V$ into nonnegative matrices $W$ and $H$ where rank of $WH$ is smaller than rank of $V$. NMF has attracted considerable attention in the past few years for its various data analysis applications. I will talk about some recent algorithms to solve NMF that perform well especially for large size problems and have good convergence behavior.



Organizers

Jim Baglama (URI), Tom Bella (URI), Li Wu (URI).

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