This book collects new results, concepts and further developments of NMF. The open problems discussed include, e.g. in bioinformatics: NMF and its extensions applied to gene expression, sequence analysis, the functional characterization of genes, clustering and text mining etc. The research results previously scattered in different scientific journals and conference proceedings are methodically collected and presented in a unified form. While readers can read the book chapters sequentially, each chapter is also self-contained. This book can be a good reference work for researchers and engineers interested in NMF, and can also be used as a handbook for students and professionals seeking to gain a better understanding of the latest applications of NMF.
Author(s): Ganesh R. Naik (eds.)
Series: Signals and Communication Technology
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2016
Language: English
Pages: VII, 194
Tags: Signal, Image and Speech Processing; Computer Imaging, Vision, Pattern Recognition and Graphics; Computational Mathematics and Numerical Analysis; Artificial Intelligence (incl. Robotics); Biomedical Engineering
Front Matter....Pages i-vii
From Binary NMF to Variational Bayes NMF: A Probabilistic Approach....Pages 1-48
Nonnegative Matrix Factorizations for Intelligent Data Analysis....Pages 49-74
Automatic Extractive Multi-document Summarization Based on Archetypal Analysis....Pages 75-88
Bounded Matrix Low Rank Approximation....Pages 89-118
A Modified NMF-Based Filter Bank Approach for Enhancement of Speech Data in Nonstationary Noise....Pages 119-132
Separation of Stellar Spectra Based on Non-negativity and Parametric Modelling of Mixing Operator....Pages 133-159
NMF in MR Spectroscopy....Pages 161-177
Time-Scale-Based Segmentation for Degraded PCG Signals Using NMF....Pages 179-194
