Yun (Hrsg.) Fu

Low-Rank and Sparse Modeling for Visual Analysis

Buch

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 popular research fields in Human-Centered Computing, Social Media, Image Classification, Pattern Recognition, Computer Vision, Big Data, and Human-Computer Interaction. This book contains an overview of the low-rank and sparse modeling techniques for visual analysis by examining both theoretical analysis and real-world applications.· Covers th… Mehr

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Produktdetails

ISBN: 978-3-319-11999-1
EAN: 9783319119991
Produktnummer: 16861219
Verlag: Springer-Verlag GmbH
Sprache: Englisch
Erscheinungsjahr: 2014
Seitenangabe: 236 S.
Masse: H24.1 cm x B16.0 cm x D1.7 cm 535 g
Abbildungen: 15 schwarz-weiße und 51 farbige Abbildungen, 32 schwarz-weiße Tabellen, Bibliographie
Gewicht: 535