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Generalized Principal Component Analysis (Interdisciplinary Applied Mathematics)

René Vidal, Yi Ma, Shankar Sastry




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 | #1022764 in Books |  Springer |  2016-04-12 | Original language:English | PDF # 1 |  9.00 x6.25 x1.50l,.0 | File type: PDF | 566 pages

 | Springer

|| |“The book under review provides a timely and comprehensive description of the classic and modern PCA-based and other dimension reduction techniques. Although the topic of dimension reduction has been briefly converted in quite a few books and review pape

This book provides a comprehensive introduction to the latest advances in the mathematical theory and computational tools for modeling high-dimensional data drawn from one or multiple low-dimensional subspaces (or manifolds) and potentially corrupted by noise, gross errors, or outliers. This challenging task requires the development of new algebraic, geometric, statistical, and computational methods for efficient and robust estimation and segmentation of one or multip...

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