Haiping Lu, Konstantinos N. Plataniotis, Anastasios Venetsanopoulos

Multilinear Subspace Learning (eBook, ePUB)

Dimensionality Reduction of Multidimensional Data

• Format: ePub

Produktbeschreibung

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

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 296
• Erscheinungstermin: 11. Dezember 2013
• Englisch
• ISBN-13: 9781040197691
• Artikelnr.: 73207053

Autorenporträt

Haiping Lu, Konstantinos N. Plataniotis, Anastasios Venetsanopoulos

Inhaltsangabe

Introduction. Fundamentals and Foundations: Linear Subspace Learning for
Dimensionality Reduction. Fundamentals of Multilinear Subspace Learning.
Overview of Multilinear Subspace Learning. Algorithmic and Computational
Aspects. Algorithms and Applications: Multilinear Principal Component
Analysis. Multilinear Discriminant Analysis. Multilinear ICA, CCA, and PLS.
Applications of Multilinear Subspace Learning. Appendices. Bibliography.
Index.