Multilinear Subspace Learning: Dimensionality Reduction of Multidimensional Data (Chapman & Hall/Crc Machine Learning & Pattern Recognition) - Hardcover

Inhaltsangabe

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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