Multilinear Subspace Learning: Dimensionality Reduction of Multidimensional Data
Haiping Lu, Hong Kong Baptist University;
Konstantinos N. Plataniotis, University of Toronto ;
Anastasios Venetsanopoulos
CRC Press, Inc., 2014
ISBN: 978-1-4398-5724-3;
Language: English
Written for students and researchers, Multilinear Subspace Learning gives a comprehensive introduction to both theoretical and practical aspects of MSL for the dimensionality reduction of multidimensional data based on tensors. It covers the fundamentals, algorithms, and applications of MSL. Topics include tensor representation of multidimensional data, principal component analysis, and multilinear algebra preliminaries.
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