Low-Rank and Sparse Modeling for Visual Analysis

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: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2014.
Subjects:
Online Access:Full Text via HEAL-Link

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