Titel: Multilinear Subspace Learning: Dimensionality Reduction of Multidimensional Data (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Verlag: Chapman and Hall/CRC
Erscheinungsjahr: 2013
Sprache: Englisch
ISBN-10: 1439857245
ISBN-13: 9781439857243
Einband: Hardcover
Zustand: New

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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.

�ber die Autorin bzw. den Autor

Haiping Lu, Konstantinos N. Plataniotis, Anastasios Venetsanopoulos

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