ABSTRACT

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

chapter 1|18 pages

- Introduction

chapter 5|18 pages

- Algorithmic and Computational Aspects

chapter 6|34 pages

- Multilinear Principal Component Analysis

chapter 7|24 pages

- Multilinear Discriminant Analysis

chapter 8|24 pages

- Multilinear ICA, CCA, and PLS