Multilinear Subspace Learning: Dimensionality Reduction of Multidimensional Data

By Anastasios Venetsanopoulos, Haiping Lu, Konstantinos N. Plataniotis, et al.

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.

• Format: Hardcover
• Language: English
• ISBN: 1439857245
• ISBN13: 9781439857243
• Release Date: December 2013
• Publisher: CRC Press
• Length: 296 Pages
• Weight: 1.30 lbs.
• Dimensions: 0.9" x 6.2" x 9.3"