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Non-negative Matrix Factorization Techniques

Advances in Theory and Applications

  • Ganesh R. Naik

Part of the Signals and Communication Technology book series (SCT)

Table of contents

  1. Front Matter
    Pages i-vii
  2. R. Schachtner, G. Pöppel, A. M. Tomé, E. W. Lang
    Pages 1-48
  3. G. Casalino, N. Del Buono, C. Mencar
    Pages 49-74
  4. Ramakrishnan Kannan, Mariya Ishteva, Barry Drake, Haesun Park
    Pages 89-118
  5. Inès Meganem, Shahram Hosseini, Yannick Deville
    Pages 133-159
  6. T. Laudadio, A. R. Croitor Sava, Y. Li, N. Sauwen, D. M. Sima, S. Van Huffel
    Pages 161-177
  7. F. Sattar, F. Jin, A. Moukadem, C. Brandt, A. Dieterlen
    Pages 179-194

About this book

Introduction

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.

Keywords

Blind Source Separation Multi-layer NMF Non-negative Matrix Factorisation (NMF) Pattern Recognition Simultaneous NMF Source Identification Source Separation Sparse Component Analysis Sparse Signal Time-frequency Signal

Editors and affiliations

  • Ganesh R. Naik
    • 1
  1. 1.University of Technology SydneySydneyAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-48331-2
  • Copyright Information Springer-Verlag Berlin Heidelberg 2016
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-662-48330-5
  • Online ISBN 978-3-662-48331-2
  • Series Print ISSN 1860-4862
  • Series Online ISSN 1860-4870
  • Buy this book on publisher's site
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