Generalized Principal Component Analysis
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...
Main Authors: | , , |
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Corporate Author: | |
Format: | Electronic eBook |
Language: | English |
Published: |
New York, NY :
Springer New York : Imprint: Springer,
2016.
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Series: | Interdisciplinary Applied Mathematics,
40 |
Subjects: | |
Online Access: | Full Text via HEAL-Link |
Internet
Full Text via HEAL-LinkΒΚΠ - Πατρα: ALFd
Call Number: |
330.01 BAU |
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Copy 1 | Available |
ΒΚΠ - Πατρα: BSC
Call Number: |
330.01 BAU |
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Copy 2 | Available |
Copy 3 | Available |