Nonnegative matrix factorization (NMF) in its modern form has become a standard tool in the analysis of high-dimensional data sets. This book provides a compreh

This book collects new results, concepts and further developments of NMF. The open problems discussed include, e.g. in bioinformatics: NMF and its extensions ap

This book provides a broad survey of models and efficient algorithms for Nonnegative Matrix Factorization (NMF). This includes NMF’s various extensions and mo

The overwhelming data produced everyday and the increasing performance and cost requirements of applications are transversal to a wide range of activities in so

Introduces cutting-edge research on machine learning theory and practice, providing an accessible, modern algorithmic toolkit.