Taming Nonconvexity in Structured Low-Rank Optimization. KU Leuven
Recent technological advances have led to a dramatic rate of
acquired data in many branches of sciences and engineering. A
natural way of mining valuable features out of these data is to
represent them as lower dimensional objects that allow intuitive
interpretation by domain-specific experts. Nonnegative matrix
factorization (NMF) is a popular dimensionality reduction tool where a
data matrix is decomposed to ...