Ganesh R. Naik 
Non-negative Matrix Factorization Techniques [PDF ebook] 
Advances in Theory and Applications

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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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Table of Content

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.

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Language English ● Format PDF ● Pages 194 ● ISBN 9783662483312 ● File size 7.3 MB ● Editor Ganesh R. Naik ● Publisher Springer Berlin ● City Heidelberg ● Country DE ● Published 2015 ● Downloadable 24 months ● Currency EUR ● ID 4525467 ● Copy protection Social DRM

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