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



Autorentext

Haiping Lu, Konstantinos N. Plataniotis, Anastasios Venetsanopoulos

Titel
Multilinear Subspace Learning
Untertitel
Dimensionality Reduction of Multidimensional Data
EAN
9781040197691
Format
E-Book (epub)
Veröffentlichung
11.12.2013
Digitaler Kopierschutz
Adobe-DRM
Anzahl Seiten
296