Generalized Principal Component Analysis

Generalized Principal Component Analysis by René Vidal, Yi Ma, Shankar Sastry.

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 challen...

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Bibliographic Details
Main Authors: Vidal, René (Author), Ma, Yi (Author), Sastry, Shankar (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2016.
Edition:1st ed. 2016.
Series:Interdisciplinary Applied Mathematics, 40
Springer eBook Collection.
Subjects:
System theory.
Optical data processing.
Signal processing.
Image processing.
Speech processing systems.
Statistics .
Algebraic geometry.
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