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Non-negative Matrix Factorization Techniques = Advances in Theory and Applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Non-negative Matrix Factorization Techniques/ edited by Ganesh R. Naik.
其他題名:	Advances in Theory and Applications /
其他作者:	Naik, Ganesh R.
面頁冊數:	VII, 194 p. 53 illus., 24 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Signal processing. -
電子資源:	https://doi.org/10.1007/978-3-662-48331-2
ISBN:	9783662483312

Non-negative Matrix Factorization Techniques = Advances in Theory and Applications /
Non-negative Matrix Factorization TechniquesAdvances in Theory and Applications /[electronic resource] :edited by Ganesh R. Naik. - 1st ed. 2016. - VII, 194 p. 53 illus., 24 illus. in color.online resource. - Signals and Communication Technology,1860-4862. - Signals and Communication Technology,.

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.

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.

ISBN: 9783662483312

Standard No.: 10.1007/978-3-662-48331-2doiSubjects--Topical Terms:

561459
Signal processing.

LC Class. No.: TK5102.9

Dewey Class. No.: 621.382

Non-negative Matrix Factorization Techniques = Advances in Theory and Applications /
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