Multilinear Subspace Learning: Dimensionality Reduction of Multidimensional Data
dek, 2013 · CRC Press
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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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Haiping Lu, Konstantinos N. Plataniotis, Anastasios Venetsanopoulos
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