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 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…
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Produktdetails
- ISBN: 978-3-319-12000-3
- EAN: 9783319120003
- Produktnummer: 18260131
- Verlag: Springer
- Sprache: Englisch
- Erscheinungsjahr: 2014
- Plattform: PDF
- Masse: 7'291 KB
Über den Autor
Yun Fu is an Assistant Professor, ECE and CS, Northeastern University
13 weitere Werke von Yun (Hrsg.) Fu:
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