Multilinear Subspace Learning: Dimensionality Reduction of Multidimensional Data

· CRC Press
Ebook
296
Pages
Eligible

About this ebook

Due to advances in sensor, storage, and networking technologies, data is being generated on a daily basis at an ever-increasing pace in a wide range of applications, including cloud computing, mobile Internet, and medical imaging. This large multidimensional data requires more efficient dimensionality reduction schemes than the traditional techniqu

About the author

Haiping Lu, Konstantinos N. Plataniotis, Anastasios Venetsanopoulos

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