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Multilinear Subspace Learning|Haiping Lu

Multilinear Subspace Learning : Dimensionality Reduction of Multidimensional Data

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Overview

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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Details

  • ISBN-13: 9781439857243
  • ISBN-10: 1439857245
  • Publisher: CRC Press
  • Publish Date: December 2013
  • Dimensions: 9.3 x 6.2 x 0.9 inches
  • Shipping Weight: 1.3 pounds
  • Page Count: 296

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