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Non-negative Matrix Factorization Techniques: Signals and Communication Technology

Editat de Ganesh R. Naik
en Limba Engleză Hardback – 5 oct 2015
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.
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Specificații

ISBN-13: 9783662483305
ISBN-10: 3662483300
Pagini: 204
Ilustrații: VII, 194 p.
Dimensiuni: 160 x 241 x 16 mm
Greutate: 0.51 kg
Ediția:1st edition 2016
Editura: Springer
Colecția Signals and Communication Technology
Seria Signals and Communication Technology

Locul publicării:Berlin, Heidelberg, Germany

Cuprins

From Binary NMF to Variational Bayes NMF: A Probabilistic Approach.- Non Negative Matrix Factorizations for Intelligent Data Analysis.- Automatic extractive multi-document summarization based on Archetypal Analysis.- Bounded Matrix Low Rank Approximation.- A Modified NMF-based Filter Bank Approach for Enhancement of Speech Data in Non-stationary Noise.- Separation of stellar spectra based on non-negativity and parametric modelling of mixing operator.- NMF in MR Spectroscopy.- Time-Scale Based Segmentation for Degraded PCG Signals Using NMF.

Textul de pe ultima copertă

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.

Caracteristici

Covers the latest cutting edge topics on NMF and emphasis on open problems on NMF Balance on both theory and applications with examples Offers in-depth analysis of NMF topics simply not covered elsewhere Includes most advanced and popular areas of NMF, Also, focuses to broad and comprehensive description of all the core principles of NMF Includes supplementary material: sn.pub/extras