Titlebook: Non-negative Matrix Factorization Techniques; Advances in Theory a Ganesh R. Naik Book 2016 Springer-Verlag Berlin Heidelberg 2016 Blind So

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T. Laudadio,A. R. Croitor Sava,Y. Li,N. Sauwen,D. M. Sima,S. Van Huffel= 18. In view of the large amount of data available some of the information is given on the CD ROM only. Parameters for nuclear levels produced in reactions with incident neutrons were previously published by L978-3-540-45292-8Series ISSN 1615-1844 Series E-ISSN 1616-9522

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1860-4862 ook 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..978-3-662-51700-0978-3-662-48331-2Series ISSN 1860-4862 Series E-ISSN 1860-4870

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NMF in MR Spectroscopy, implementations are available in the literature, a comparison in terms of pattern detection accuracy of some NMF algorithms will be reported and discussed, and the NMF performance for MRS data analysis will be compared with that of other blind source separation (BSS) techniques.

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From Binary NMF to Variational Bayes NMF: A Probabilistic Approach,ure patterns emerging from manufacturing and processing silicon wafers. It starts with ., a variant developed to apply NMF to binary data sets. The latter are modeled as a probabilistic superposition of a finite number of intrinsic continuous-valued failure patterns characteristic for the manufactur

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