Simplex Volume Maximization (SiVM): A matrix factorization algorithm with non-negative constrains and low computing demands for the interpretation of full spectral X-ray fluorescence imaging data

Technological progress allows for an ever-faster acquisition of hyperspectral data, challenging the users to keep up with interpreting the recorded data. Matrix factorization, the representation of data sets by bases (or loads) and coefficient (or score) images is long used to support the interpreta...

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Bibliographic Details
Published in:Microchemical journal Vol. 132; pp. 179 - 184
Main Authors: Alfeld, Matthias, Wahabzada, Mirwaes, Bauckhage, Christian, Kersting, Kristian, van der Snickt, Geert, Noble, Petria, Janssens, Koen, Wellenreuther, Gerd, Falkenberg, Gerald
Format: Journal Article
Language:English
Published: Elsevier B.V 01.05.2017
ISSN:0026-265X, 1095-9149
Online Access:Get full text
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