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Multilinear Subspace Learning: Dimensionality Reduction of Multidimensional Data
Hardcover
Series: Chapman & Hall/CRC Machine Learning & Pattern Recognition
Technology & EngineeringDatabasesGeneral Computers
ISBN13: 9781439857243
Publisher: Crc Pr Inc
Published: Dec 11 2013
Pages: 296
Weight: 1.30
Height: 0.90 Width: 6.20 Depth: 9.30
Language: English
Emphasizing essential concepts and system-level perspectives, this book provides a foundation for solving many of today's most interesting and challenging problems in big multidimensional data processing. It gives a comprehensive introduction to both theoretical and practical aspects of MSL for the dimensionality reduction of multidimensional data based on tensors. The book follows a unifying MSL framework formulation to systematically derive representative MSL algorithms. It describes various applications of the algorithms, along with their pseudocode. Supporting materials are available online.
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