Low-Rank and Sparse Modeling for Visual Analysis

Low-Rank and Sparse Modeling for Visual Analysis edited by Yun Fu.

This book provides a view of low-rank and sparse computing, especially approximation, recovery, representation, scaling, coding, embedding, and learning among unconstrained visual data. Included in the book are chapters covering multiple emerging topics in this new field. The text links multiple pop...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Fu, Yun (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2014.
Edition:1st ed. 2014.
Series:Springer eBook Collection.
Subjects:
Optical data processing.
Signal processing.
Image processing.
Speech processing systems.
Electronic resources (E-books)
Online Access:Click to view e-book
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Call Number: E-Book
Status: Available

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