Matrix and Tensor Decomposition: Application to Data Fusion and Analysis

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Matrix and Tensor Decomposition: Application to Data Fusion and Analysis introduces the main theoretical concepts for data fusion using matrix and tensor decompositions, beginning with the concept of "diversity", which facilitates identifiability. It provides the link between theoretical results and practice by addressing key implementation issues, such as model choice for a given problem, identification of sources of diversity, parameter...

Format:Paperback

Language:English

ISBN:0128157607

ISBN13:9780128157602

Release Date:June 2021

Publisher:Academic Press

Length:400 Pages

Related Subjects

Engineering Technology

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Matrix and Tensor Decomposition: Application to Data Fusion and Analysis

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